{ "schemaVersion": "deck-intelligence.v1", "id": "019dd923-5e88-73ef-bd5d-b82ca346e032", "slug": "d104e9de9f1d5dd1", "title": "2016 Bond Cap Internet Trends 2016", "subtitle": "Mary Meeker", "author": "Mary Meeker", "pageCount": 214, "kind": "consulting-deck", "orientation": "landscape", "aspectRatio": 1.333, "document": { "id": "019dd923-5e88-73ef-bd5d-b82ca346e032", "slug": "d104e9de9f1d5dd1", "title": "2016 Bond Cap Internet Trends 2016", "rawTitle": "2016 Bond Cap Internet Trends 2016", "authorId": "BondCap", "authorName": "Mary Meeker", "authorDisplay": "Mary Meeker", "kind": { "slug": "consulting-deck", "label": "Consulting deck" }, "sourceType": { "slug": "vc_research", "label": "VC research" }, "fileName": "2016-Bond-Cap-Internet-Trends-2016.pdf", "sourceUrl": null, "sourceDate": "2016-10-01 00:00:00", "presentationDate": null, "ingestedAt": "2026-04-25 11:55:50+00", "status": "ready", "pageCount": 214, "orientation": "landscape", "aspectRatio": 1.333, "targetCompany": null, "targetTicker": null, "metadata": { "local_root": "/tmp/legacy-images/d104e9de9f1d5dd1", "origin_corpus": "consulting" } }, "coverage": { "pageCount": 214, "pagesIndexed": 214, "pagesWithImages": 214, "pagesWithMetadata": 214, "imageCoveragePct": 100, "metadataCoveragePct": 100, "componentCount": 994, "chartCount": 96, "metricSlides": 0, "toolMatches": 216, "documentToolMatches": 0, "frameworkMatches": 55, "arcMatches": 2, "beatMatches": 8, "loopMatches": 13, "patternMatches": 0, "storymakersMatch": true, "scoreAvailable": true, "reviewAvailable": true, "activistThesisAvailable": false, "pitchdeckMetadataAvailable": false, "pitchdeckProfileAvailable": false }, "blocks": [], "matches": { "arcs": [ { "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null, "categoryName": "Strategy & Business", "categorySlug": "strategy-business" }, "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "evidence": "Macro context (pp 6-37) -> 'Easy Growth Behind Us' problem (pp 38-41) -> innovation domains as solution (pp 42-160) -> China/leaders evidence (pp 161-186) -> data-privacy implications & outlook (pp 187-213).", "isPrimary": true, "confidence": 72, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } }, { "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null, "categoryName": "Analysis & Information", "categorySlug": "analysis-information" }, "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "evidence": "Each section presents Facts (charts) -> Implications (action-titles) -> Action (case studies / call-to-arms).", "isPrimary": false, "confidence": 60, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "beats": [ { "to": 37, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null, "categoryName": "Strategy & Business", "categorySlug": "strategy-business" }, "from": 5, "name": "Situation & Context", "beatId": "019de7d7-df7b-76b3-8c4c-98c32793875a", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Global internet + macro trends establish baseline state.", "position": 1, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 41, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null, "categoryName": "Strategy & Business", "categorySlug": "strategy-business" }, "from": 38, "name": "Problem & Complication", "beatId": "019de7d7-df9d-7324-a350-204551b07459", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "'Easy Growth Behind Us' / '5 Epic Growth Drivers Losing Mojo'.", "position": 2, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null, "categoryName": "Strategy & Business", "categorySlug": "strategy-business" }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 193, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null, "categoryName": "Strategy & Business", "categorySlug": "strategy-business" }, "from": 161, "name": "Evidence & Proof", "beatId": "019de7d7-dfdb-71ae-ab61-8a3533e45ef2", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "China leadership data + public/private company financials.", "position": 4, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null, "categoryName": "Strategy & Business", "categorySlug": "strategy-business" }, "from": 194, "name": "Impact & Next Steps", "beatId": "019de7d7-dffb-769f-86ea-88c176a7885d", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Data-as-platform examples and privacy-debate implications close out.", "position": 5, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 37, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null, "categoryName": "Analysis & Information", "categorySlug": "analysis-information" }, "from": 6, "name": "The Facts (What)", "beatId": "019de7d7-e03c-735a-b728-fc03ed76149b", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Heavy chart-driven user/macro data.", "position": 1, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 }, { "to": 41, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null, "categoryName": "Analysis & Information", "categorySlug": "analysis-information" }, "from": 38, "name": "The Implications (So What)", "beatId": "019de7d7-e05b-76ee-a06a-e41c3fd6c2f2", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Synthesis: rising risks, internet at core of response.", "position": 2, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null, "categoryName": "Analysis & Information", "categorySlug": "analysis-information" }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 16, "from": 6, "loop": { "name": "41_so_what_cascade", "slug": "41-so-what-cascade", "status": "active", "bestFor": "Data presentations, executive summaries, driving to recommendations", "canonId": "019dd956-769f-7208-afbc-f28985c6f4fb", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Data -> So What? (Insight 1) -> So What? (Insight 2) -> So What? (The Action)", "description": "Chain insights together, each answering 'so what?' until you reach the actionable conclusion", "familyLabel": null, "categoryName": "Consulting Framework", "categorySlug": "consulting-framework" }, "matchId": "019de7d7-e0e3-75c7-88bb-5cec6033bd95", "evidence": "Data slides (6,7,9,11,12,13) each carry an action-title insight; pp 14-16 cascade to 'new users harder to garner'.", "position": 1, "objective": "Cascade global-internet user data into the insight that growth is saturating except in emerging markets", "confidence": 75, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } }, { "to": 33, "from": 18, "loop": { "name": "02_pattern_hunter", "slug": "02-pattern-hunter", "status": "active", "bestFor": "Time-pressed audiences, building consensus, when data is strong", "canonId": "019dd956-6695-771a-be2e-f1748ef041a4", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion", "description": "Group multiple pieces of evidence that together point to a pattern or conclusion", "familyLabel": null, "categoryName": "Logical Reasoning", "categorySlug": "logical-reasoning" }, "matchId": "019de7d7-e104-7489-96f5-b4c949423bcb", "evidence": "Sequence of independent evidences (pp 19,21,23,25,29,30,32,33) converge on the slowdown pattern.", "position": 2, "objective": "Stack multiple macro signals (GDP, commodities, growth-engine shift, debt, rates) pointing to the same conclusion: macro slowdown", "confidence": 80, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } }, { "to": 41, "from": 34, "loop": { "name": "27_cost_of_inaction", "slug": "27-cost-of-inaction", "status": "active", "bestFor": "Urgent budget requests, compliance, risk mitigation", "canonId": "019dd956-70d1-7395-a15b-857ba858b394", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Status Quo -> The Hidden Costs Accumulating -> The Future State of Inaction -> The Tipping Point", "description": "Quantify what happens if the audience does nothing", "familyLabel": null, "categoryName": "Urgency", "categorySlug": "urgency" }, "matchId": "019de7d7-e126-71ea-a1ab-a10f86e56db8", "evidence": "pp 34-37 demographic decline -> p38 'Easy Growth Behind Us' -> p39 5 drivers losing mojo -> p41 internet as response.", "position": 3, "objective": "Show demographic + macro decay accumulating to 'easy growth behind us', flipping into urgency for innovation", "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } }, { "to": 49, "from": 43, "loop": { "name": "03_aha_moment", "slug": "03-aha-moment", "status": "active", "bestFor": "Data-heavy sections, research findings, analytical arguments", "canonId": "019dd956-66f4-7668-ab25-cec9c996c0bc", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Problem/Question -> What the Data Shows -> The Insight", "description": "Establish a tension, present data, then deliver the insight that changes everything", "familyLabel": null, "categoryName": "Narrative", "categorySlug": "narrative" }, "matchId": "019de7d7-e188-76e5-96d2-089815b5a635", "evidence": "p44 data -> p45 76% concentration -> p46 $22B opportunity -> p47-48 ad-blocking 'call-to-arms'.", "position": 4, "objective": "Move from raw ad-spend data to insight that mobile + Google/Facebook drive growth while ad efficacy lags", "confidence": 72, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } }, { "to": 71, "from": 50, "loop": { "name": "04_tale_two_worlds", "slug": "04-tale-two-worlds", "status": "active", "bestFor": "Competitive analysis, benchmarking, case for change", "canonId": "019dd956-674f-750b-b15d-f082e2717f4e", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "Current State -> Desired State / Benchmark -> The Gap & Implication", "description": "Show the gap between two states to drive urgency or highlight opportunity", "familyLabel": null, "categoryName": "Comparison", "categorySlug": "comparison" }, "matchId": "019de7d7-e1a8-7476-bf97-c3dc117d6e63", "evidence": "Generation comparison tables (52,53), retail-channel evolution (57-58), digital-native scaling (71).", "position": 5, "objective": "Contrast prior-generation retail world vs. millennial / digital-native world to motivate commerce reinvention", "confidence": 80, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } }, { "to": 89, "from": 73, "loop": { "name": "21_before_after", "slug": "21-before-after", "status": "active", "bestFor": "Product demos, process improvements, ROI justification", "canonId": "019dd956-6e68-73fd-a295-fe90145c2da8", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Old Way (Pain) -> The Moment of Change -> The New Way (Glory) -> The Measurable Delta", "description": "Show the dramatic contrast between the old way and the new way through side-by-side comparison", "familyLabel": null, "categoryName": "Comparison", "categorySlug": "comparison" }, "matchId": "019de7d7-e1c6-73b0-8fd5-4ff03a42076e", "evidence": "Live->On-Demand->Semi-Live->Real-Live diagram (pp 76-77) frames before/after; case studies on Snapchat, FB Live.", "position": 6, "objective": "Map the before/after of video consumption from linear TV to live/social/UGC", "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } }, { "to": 97, "from": 91, "loop": { "name": "03_aha_moment", "slug": "03-aha-moment", "status": "active", "bestFor": "Data-heavy sections, research findings, analytical arguments", "canonId": "019dd956-66f4-7668-ab25-cec9c996c0bc", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Problem/Question -> What the Data Shows -> The Insight", "description": "Establish a tension, present data, then deliver the insight that changes everything", "familyLabel": null, "categoryName": "Narrative", "categorySlug": "narrative" }, "matchId": "019de7d7-e1e5-72e2-bdd4-d377842d1c46", "evidence": "p91 photos shared exploding -> pp93-94 Pinterest/OfferUp shopping use -> pp95-97 Houzz monetization.", "position": 7, "objective": "From rising image-share data to insight that image platforms drive commerce", "confidence": 70, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } }, { "to": 111, "from": 99, "loop": { "name": "21_before_after", "slug": "21-before-after", "status": "active", "bestFor": "Product demos, process improvements, ROI justification", "canonId": "019dd956-6e68-73fd-a295-fe90145c2da8", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Old Way (Pain) -> The Moment of Change -> The New Way (Glory) -> The Measurable Delta", "description": "Show the dramatic contrast between the old way and the new way through side-by-side comparison", "familyLabel": null, "categoryName": "Comparison", "categorySlug": "comparison" }, "matchId": "019de7d7-e20e-7730-839d-468e03deb0a9", "evidence": "p101 'simple -> expressive', p103 'social -> business', tables on Asia super-apps (104,106), home-screen replacement (111).", "position": 8, "objective": "Show messaging evolving from simple chat (before) to expressive, business-grade super-apps (after)", "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } }, { "to": 134, "from": 113, "loop": { "name": "15_why_now", "slug": "15-why-now", "status": "active", "bestFor": "Sales pitches, fundraising, requesting immediate budget approval", "canonId": "019dd956-6c00-70cd-bd42-6bacc4af726f", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Context (Trends) -> The Trigger Event -> The Window of Opportunity", "description": "Create temporal urgency by proving that the window of opportunity is opening or closing", "familyLabel": null, "categoryName": "Urgency", "categorySlug": "urgency" }, "matchId": "019de7d7-e22d-74be-b2d8-6f4dcc8e253a", "evidence": "p114-115 historical context, p116 'Why Now?' header, p118-120 99% accuracy threshold trigger, pp 122-134 adoption window.", "position": 9, "objective": "Argue voice as a new computing paradigm - context, accuracy trigger, opportunity window", "confidence": 82, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } }, { "to": 160, "from": 135, "loop": { "name": "21_before_after", "slug": "21-before-after", "status": "active", "bestFor": "Product demos, process improvements, ROI justification", "canonId": "019dd956-6e68-73fd-a295-fe90145c2da8", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Old Way (Pain) -> The Moment of Change -> The New Way (Glory) -> The Measurable Delta", "description": "Show the dramatic contrast between the old way and the new way through side-by-side comparison", "familyLabel": null, "categoryName": "Comparison", "categorySlug": "comparison" }, "matchId": "019de7d7-e24d-70a8-94f7-9a7b22f327cb", "evidence": "p139 mechanical->computer evolution, p140 NHTSA L0->L4, p153 ownership-to-miles-driven CEO quotes, p160 'Golden Age Take Two'.", "position": 10, "objective": "Cars: from mechanical-to-computer evolution (before) to autonomous + shared-mobility future (after)", "confidence": 75, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } }, { "to": 182, "from": 162, "loop": { "name": "04_tale_two_worlds", "slug": "04-tale-two-worlds", "status": "active", "bestFor": "Competitive analysis, benchmarking, case for change", "canonId": "019dd956-674f-750b-b15d-f082e2717f4e", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "Current State -> Desired State / Benchmark -> The Gap & Implication", "description": "Show the gap between two states to drive urgency or highlight opportunity", "familyLabel": null, "categoryName": "Comparison", "categorySlug": "comparison" }, "matchId": "019de7d7-e26c-70ce-a296-8864b88dd4d8", "evidence": "p170 online ads > USA share, pp171-172 e-commerce share, p176 payment frequency, p181 70% global on-demand share.", "position": 11, "objective": "Benchmark China internet metrics against USA to argue China leads on many fronts", "confidence": 82, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } }, { "to": 193, "from": 184, "loop": { "name": "02_pattern_hunter", "slug": "02-pattern-hunter", "status": "active", "bestFor": "Time-pressed audiences, building consensus, when data is strong", "canonId": "019dd956-6695-771a-be2e-f1748ef041a4", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion", "description": "Group multiple pieces of evidence that together point to a pattern or conclusion", "familyLabel": null, "categoryName": "Logical Reasoning", "categorySlug": "logical-reasoning" }, "matchId": "019de7d7-e2d0-7279-b31b-54df6bba3560", "evidence": "p185 incumbent vs disruptor tables, p186 normalized growth curves, p188 top-20 leaderboard, p190 incumbent M&A surge.", "position": 12, "objective": "Stack public + private internet leader evidence to argue current generation growing faster than ever", "confidence": 70, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } }, { "to": 213, "from": 195, "loop": { "name": "13_domino_effect", "slug": "13-domino-effect", "status": "active", "bestFor": "Strategy roadmaps, showing ROI of a specific feature, causal analysis", "canonId": "019dd956-6b0a-74a4-9ebb-77e5dc8152aa", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Trigger Action -> First Reaction -> Second Reaction -> Final Impact", "description": "Demonstrate how a single small strategic move triggers a cascade of positive outcomes", "familyLabel": null, "categoryName": "Causation", "categorySlug": "causation" }, "matchId": "019de7d7-e2f0-72bd-8d16-aa957dd60a44", "evidence": "p196 50% data CAGR trigger, pp 202-206 platform reactions, p207 'security concerns explode', pp 209-213 breach + privacy fallout.", "position": 13, "objective": "Trigger: data explosion -> first reaction (data as platform) -> next (security/privacy fear) -> impact (legal/societal tension)", "confidence": 72, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "tools": [ { "tool": { "name": "MECE Principle", "slug": "mece-principle", "status": "active", "bestFor": null, "canonId": "019dd956-7c60-71a8-8758-c79d914489c9", "version": 1, "bodyDocId": null, "description": "Mutually Exclusive, Collectively Exhaustive - ensuring complete, non-overlapping structure", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Architect", "layer": "block", "agents": [ "Architect" ], "matchId": "019de7d7-e330-73b7-b96b-12f144c55444", "evidence": "Numbered outline aims at distinct, non-overlapping sections.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 60, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 3, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Three Pillars", "slug": "three-pillars", "status": "active", "bestFor": null, "canonId": "019dd956-81ef-7455-a365-b234d95a6bbb", "version": 1, "bodyDocId": null, "description": "Three major supporting arguments that are MECE and address key concerns", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Architect", "layer": "block", "agents": [ "Architect" ], "matchId": "019de7d7-e310-70a5-b987-f7d876b17811", "evidence": "Outline lists 8 thematic chapters - explicit deck-level structure.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 3, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Audience Segmentation", "slug": "audience-segmentation", "status": "active", "bestFor": null, "canonId": "019dd956-8079-7046-8e6b-ecdf1bf15590", "version": 1, "bodyDocId": null, "description": "Grouping audience by attitude toward your message: Champions, Neutrals, Skeptics", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Storyteller", "layer": "block", "agents": [ "Storyteller" ], "matchId": "019de7d7-e5c0-75c7-a254-ad0b4c6a4446", "evidence": "Countries split into 5 attitude/barrier groups.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 15, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Before-After-Bridge", "slug": "before-after-bridge", "status": "active", "bestFor": null, "canonId": "019dd956-8604-7188-883f-42370288ad05", "version": 1, "bodyDocId": null, "description": "Narrative structure: Paint the before, show the after, explain the bridge", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Storyteller", "layer": "block", "agents": [ "Storyteller" ], "matchId": "019de7d7-e7ee-7206-af9f-74b6e4d5b00a", "evidence": "30-year before/after of growth engines.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 23, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Big Idea Formula", "slug": "big-idea-formula", "status": "active", "bestFor": "Any narrative-driven persuasive deck whose job is to move the audience: keynotes, fundraising pitches, capital-allocation board asks, all-hands behaviour-change talks, conference talks meant to shift mental models. Use it before structuring; pair with Pyramid when the deck must also withstand line-by-line scrutiny.", "canonId": "019dd956-7dd1-74d7-9866-ffdef19ecfbf", "version": 1, "bodyDocId": "c30d7484-69e0-4e21-82cf-20fa0966869e", "description": "Nancy Duarte's articulation of how to frame a presentation's central message: the speaker's unique point of view plus what's at stake for the audience, expressed as one complete declarative sentence. The narrative-driven counterpart to Minto's analytical governing thought.", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Storyteller", "layer": "block", "agents": [ "Storyteller" ], "matchId": "019de7d7-e9d8-77ec-a84b-3f979204b412", "evidence": "Big idea: easy growth gone, error margin shrinking.", "pageRefs": null, "priority": "Core", "whenToUse": "Any narrative-driven persuasive deck whose job is to move the audience: keynotes, fundraising pitches, capital-allocation board asks, all-hands behaviour-change talks, conference talks meant to shift mental models. Use it before structuring; pair with Pyramid when the deck must also withstand line-by-line scrutiny.", "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 38, "whyItWorks": "Solves the topic-not-thesis trap and the stake-less recommendation trap simultaneously. A single declarative sentence with a verb forces the speaker's stance into the room; routing the consequence through the word 'you' translates internal urgency into the audience's currency. The result is short enough to be repeated after the meeting — and that repetition is the persuasion mechanism.", "antipattern": "A topic dressed as a thesis ('Sustainability Roadmap 2026'), a stake attached to the speaker rather than the audience, two ideas spliced with 'and', abstract verbs (leverage / unlock / empower) that survive deletion, or writing the Big Idea after the deck is already built so the slides don't actually defend it.", "cardinality": null, "narrativePurpose": "Forces the deck to commit to a single declarative thesis before slide one — a sentence that names the speaker's stance and routes a consequence through the audience's currency. Acts as the filter every slide, anecdote, and chart must ladder up to." }, { "tool": { "name": "Three Pillars", "slug": "three-pillars", "status": "active", "bestFor": null, "canonId": "019dd956-81ef-7455-a365-b234d95a6bbb", "version": 1, "bodyDocId": null, "description": "Three major supporting arguments that are MECE and address key concerns", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Architect", "layer": "block", "agents": [ "Architect" ], "matchId": "019de7d7-ea17-770f-9a1a-a8823cfea2c4", "evidence": "Numbered drivers as pillar list.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 55, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 39, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Before-After-Bridge", "slug": "before-after-bridge", "status": "active", "bestFor": null, "canonId": "019dd956-8604-7188-883f-42370288ad05", "version": 1, "bodyDocId": null, "description": "Narrative structure: Paint the before, show the after, explain the bridge", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Storyteller", "layer": "block", "agents": [ "Storyteller" ], "matchId": "019de7d7-ea57-7779-85a9-46df32b214f5", "evidence": "Bridges from 'rising risks' (problem) to 'internet at core' (solution).", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 41, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Pareto Principle (80/20)", "slug": "pareto-principle-80-20", "status": "active", "bestFor": null, "canonId": "019dd956-8cc3-75ba-a35d-d6575b56c45d", "version": 1, "bodyDocId": null, "description": "80% of effects come from 20% of causes - focus on high-impact items", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Architect", "layer": "block", "agents": [ "Architect" ], "matchId": "019de7d7-eb40-764a-81a9-a6dce8568e77", "evidence": "Two players capture vast majority of growth.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 45, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Audience Segmentation", "slug": "audience-segmentation", "status": "active", "bestFor": null, "canonId": "019dd956-8079-7046-8e6b-ecdf1bf15590", "version": 1, "bodyDocId": null, "description": "Grouping audience by attitude toward your message: Champions, Neutrals, Skeptics", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Storyteller", "layer": "block", "agents": [ "Storyteller" ], "matchId": "019de7d7-ec44-7218-8941-892c827b3cd3", "evidence": "Four-generation profiling table.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 80, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 52, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Audience Segmentation", "slug": "audience-segmentation", "status": "active", "bestFor": null, "canonId": "019dd956-8079-7046-8e6b-ecdf1bf15590", "version": 1, "bodyDocId": null, "description": "Grouping audience by attitude toward your message: Champions, Neutrals, Skeptics", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Storyteller", "layer": "block", "agents": [ "Storyteller" ], "matchId": "019de7d7-ec82-74cb-8fab-3bd7219328fb", "evidence": "Generation segmentation continued at peak adult years.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 53, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Before-After-Bridge", "slug": "before-after-bridge", "status": "active", "bestFor": null, "canonId": "019dd956-8604-7188-883f-42370288ad05", "version": 1, "bodyDocId": null, "description": "Narrative structure: Paint the before, show the after, explain the bridge", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Storyteller", "layer": "block", "agents": [ "Storyteller" ], "matchId": "019de7d7-ef7e-77fb-9df2-335c58b7d016", "evidence": "Loop start: before-after framing of video.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 75, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 77, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "The Rule of Three", "slug": "the-rule-of-three", "status": "active", "bestFor": null, "canonId": "019dd956-8962-75cf-b4f8-9394501a6f33", "version": 1, "bodyDocId": null, "description": "Ideas presented in threes are more memorable and satisfying", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Storyteller", "layer": "block", "agents": [ "Storyteller" ], "matchId": "019de7d7-effc-770c-acc8-009ac8c7f9c4", "evidence": "Three-part trifecta.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 81, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Three Pillars", "slug": "three-pillars", "status": "active", "bestFor": null, "canonId": "019dd956-81ef-7455-a365-b234d95a6bbb", "version": 1, "bodyDocId": null, "description": "Three major supporting arguments that are MECE and address key concerns", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Architect", "layer": "block", "agents": [ "Architect" ], "matchId": "019de7d7-f209-7599-b43b-f7fb4952e60a", "evidence": "Two parallel lists structuring benefits/qualities.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 55, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 117, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Three Pillars", "slug": "three-pillars", "status": "active", "bestFor": null, "canonId": "019dd956-81ef-7455-a365-b234d95a6bbb", "version": 1, "bodyDocId": null, "description": "Three major supporting arguments that are MECE and address key concerns", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Architect", "layer": "block", "agents": [ "Architect" ], "matchId": "019de7d7-f563-77ee-b2b4-5ea60865e502", "evidence": "Six ecosystem components listed for USA auto.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 60, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 148, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Pareto Principle (80/20)", "slug": "pareto-principle-80-20", "status": "active", "bestFor": null, "canonId": "019dd956-8cc3-75ba-a35d-d6575b56c45d", "version": 1, "bodyDocId": null, "description": "80% of effects come from 20% of causes - focus on high-impact items", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Architect", "layer": "block", "agents": [ "Architect" ], "matchId": "019de7d7-f681-7338-b973-395bc1aed2cc", "evidence": "Three players capture 71% of attention.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 168, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Before-After-Bridge", "slug": "before-after-bridge", "status": "active", "bestFor": null, "canonId": "019dd956-8604-7188-883f-42370288ad05", "version": 1, "bodyDocId": null, "description": "Narrative structure: Paint the before, show the after, explain the bridge", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Storyteller", "layer": "block", "agents": [ "Storyteller" ], "matchId": "019de7d7-fb64-73c8-af91-1ed37360ee36", "evidence": "Explicit Then vs Now framing.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 75, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 203, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Curiosity Gap", "slug": "curiosity-gap", "status": "active", "bestFor": null, "canonId": "019dd956-9703-74ef-8b85-96dfd8525025", "version": 1, "bodyDocId": null, "description": "People seek missing information - create open questions that demand resolution", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Storyteller", "layer": "block", "agents": [ "Storyteller" ], "matchId": "019de7d7-fcca-70aa-a76f-7a03ee8e806b", "evidence": "Closing rhetorical question leaves audience pondering.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 60, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 213, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Inductive Reasoning", "slug": "inductive-reasoning", "status": "active", "bestFor": null, "canonId": "019dd956-99c6-705e-94cc-76a504c3da37", "version": 1, "bodyDocId": null, "description": "Grouping similar evidence to form a conclusion (Evidence → Pattern → Conclusion)", "familyLabel": null, "categoryName": "Loop", "categorySlug": "loop" }, "agent": "Architect", "layer": "loop", "agents": [ "Architect" ], "matchId": "019de7d7-e450-719e-9c00-365a14ba1b29", "evidence": "Loop start: data point feeding cascade conclusion.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 72, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 7, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Contrast Pairs", "slug": "contrast-pairs", "status": "active", "bestFor": null, "canonId": "019dd956-9b77-70d3-88b1-f34e26f60860", "version": 1, "bodyDocId": null, "description": "Creating tension through opposites: Before↔After, Problem↔Solution, Pain↔Relief", "familyLabel": null, "categoryName": "Loop", "categorySlug": "loop" }, "agent": "Storyteller", "layer": "loop", "agents": [ "Storyteller" ], "matchId": "019de7d7-e539-76e5-9a48-5c04ae1fb94a", "evidence": "iOS vs Android volume/price contrast.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 75, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 13, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Inductive Reasoning", "slug": "inductive-reasoning", "status": "active", "bestFor": null, "canonId": "019dd956-99c6-705e-94cc-76a504c3da37", "version": 1, "bodyDocId": null, "description": "Grouping similar evidence to form a conclusion (Evidence → Pattern → Conclusion)", "familyLabel": null, "categoryName": "Loop", "categorySlug": "loop" }, "agent": "Architect", "layer": "loop", "agents": [ "Architect" ], "matchId": "019de7d7-e708-760c-8aff-df9a7c0d904e", "evidence": "First evidence in macro pattern stack.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 19, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Contrast Pairs", "slug": "contrast-pairs", "status": "active", "bestFor": null, "canonId": "019dd956-9b77-70d3-88b1-f34e26f60860", "version": 1, "bodyDocId": null, "description": "Creating tension through opposites: Before↔After, Problem↔Solution, Pain↔Relief", "familyLabel": null, "categoryName": "Loop", "categorySlug": "loop" }, "agent": "Storyteller", "layer": "loop", "agents": [ "Storyteller" ], "matchId": "019de7d7-e7ce-70e1-8227-694fd75c7371", "evidence": "Side-by-side 1985 vs 2015 pies.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 82, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 23, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "The Turn", "slug": "the-turn", "status": "active", "bestFor": null, "canonId": "019dd956-a2b1-7787-8ff6-60ba7e50b814", "version": 1, "bodyDocId": null, "description": "Pivotal moment where perspective shifts or insight emerges", "familyLabel": null, "categoryName": "Loop", "categorySlug": "loop" }, "agent": "Storyteller", "layer": "loop", "agents": [ "Storyteller" ], "matchId": "019de7d7-ea75-74ef-ba61-b1f6b7e14d8d", "evidence": "Pivot from problem framing to solution framing.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 41, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Contrast Pairs", "slug": "contrast-pairs", "status": "active", "bestFor": null, "canonId": "019dd956-9b77-70d3-88b1-f34e26f60860", "version": 1, "bodyDocId": null, "description": "Creating tension through opposites: Before↔After, Problem↔Solution, Pain↔Relief", "familyLabel": null, "categoryName": "Loop", "categorySlug": "loop" }, "agent": "Storyteller", "layer": "loop", "agents": [ "Storyteller" ], "matchId": "019de7d7-ee71-72ae-9124-8c560a5697a4", "evidence": "Neiman Marcus -> digital vs Warby Parker -> physical.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 75, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 65, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Causal Chain", "slug": "causal-chain", "status": "active", "bestFor": null, "canonId": "019dd956-9e98-7269-907b-8cf727e9499d", "version": 1, "bodyDocId": null, "description": "Showing how one event leads to another in sequence", "familyLabel": null, "categoryName": "Loop", "categorySlug": "loop" }, "agent": "Architect", "layer": "loop", "agents": [ "Architect" ], "matchId": "019de7d7-ef3d-72b9-8984-a272e54fc4d9", "evidence": "Sequential evolution diagram.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 72, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 76, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Contrast Pairs", "slug": "contrast-pairs", "status": "active", "bestFor": null, "canonId": "019dd956-9b77-70d3-88b1-f34e26f60860", "version": 1, "bodyDocId": null, "description": "Creating tension through opposites: Before↔After, Problem↔Solution, Pain↔Relief", "familyLabel": null, "categoryName": "Loop", "categorySlug": "loop" }, "agent": "Storyteller", "layer": "loop", "agents": [ "Storyteller" ], "matchId": "019de7d7-f185-737a-8f8d-06739b1545c9", "evidence": "Best vs worst phrasing.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 108, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Causal Chain", "slug": "causal-chain", "status": "active", "bestFor": null, "canonId": "019dd956-9e98-7269-907b-8cf727e9499d", "version": 1, "bodyDocId": null, "description": "Showing how one event leads to another in sequence", "familyLabel": null, "categoryName": "Loop", "categorySlug": "loop" }, "agent": "Architect", "layer": "loop", "agents": [ "Architect" ], "matchId": "019de7d7-f331-7599-a243-e748cb0f464b", "evidence": "Trend chart + driver chart shows tech improvements drive usage.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 65, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 122, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Contrast Pairs", "slug": "contrast-pairs", "status": "active", "bestFor": null, "canonId": "019dd956-9b77-70d3-88b1-f34e26f60860", "version": 1, "bodyDocId": null, "description": "Creating tension through opposites: Before↔After, Problem↔Solution, Pain↔Relief", "familyLabel": null, "categoryName": "Loop", "categorySlug": "loop" }, "agent": "Storyteller", "layer": "loop", "agents": [ "Storyteller" ], "matchId": "019de7d7-f437-703f-a7ba-3f52e251c0df", "evidence": "iPhone peaking vs Echo taking off side by side.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 80, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 134, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Causal Chain", "slug": "causal-chain", "status": "active", "bestFor": null, "canonId": "019dd956-9e98-7269-907b-8cf727e9499d", "version": 1, "bodyDocId": null, "description": "Showing how one event leads to another in sequence", "familyLabel": null, "categoryName": "Loop", "categorySlug": "loop" }, "agent": "Architect", "layer": "loop", "agents": [ "Architect" ], "matchId": "019de7d7-f476-727e-9704-3e5511efce74", "evidence": "Mechanical -> simple processors -> computers progression.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 139, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Contrast Pairs", "slug": "contrast-pairs", "status": "active", "bestFor": null, "canonId": "019dd956-9b77-70d3-88b1-f34e26f60860", "version": 1, "bodyDocId": null, "description": "Creating tension through opposites: Before↔After, Problem↔Solution, Pain↔Relief", "familyLabel": null, "categoryName": "Loop", "categorySlug": "loop" }, "agent": "Storyteller", "layer": "loop", "agents": [ "Storyteller" ], "matchId": "019de7d7-f4d6-73de-9f20-b658836a73ff", "evidence": "All-new (Google) vs Assimilation (Tesla) split.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 142, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Argument from Analogy", "slug": "argument-from-analogy", "status": "active", "bestFor": null, "canonId": "019dd956-9e3d-7762-a994-72a2f7104e7c", "version": 1, "bodyDocId": null, "description": "Drawing conclusions based on similarities between situations", "familyLabel": null, "categoryName": "Loop", "categorySlug": "loop" }, "agent": "Architect", "layer": "loop", "agents": [ "Architect" ], "matchId": "019de7d7-f5a3-71ca-a680-ab604265e22c", "evidence": "Red Flag Act / Jitneys precedents argue against current resistance.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 150, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Contrast Pairs", "slug": "contrast-pairs", "status": "active", "bestFor": null, "canonId": "019dd956-9b77-70d3-88b1-f34e26f60860", "version": 1, "bodyDocId": null, "description": "Creating tension through opposites: Before↔After, Problem↔Solution, Pain↔Relief", "familyLabel": null, "categoryName": "Loop", "categorySlug": "loop" }, "agent": "Storyteller", "layer": "loop", "agents": [ "Storyteller" ], "matchId": "019de7d7-f769-729e-a903-97e47b50bc02", "evidence": "China vs USA share-growth lines side by side.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 172, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Contrast Pairs", "slug": "contrast-pairs", "status": "active", "bestFor": null, "canonId": "019dd956-9b77-70d3-88b1-f34e26f60860", "version": 1, "bodyDocId": null, "description": "Creating tension through opposites: Before↔After, Problem↔Solution, Pain↔Relief", "familyLabel": null, "categoryName": "Loop", "categorySlug": "loop" }, "agent": "Storyteller", "layer": "loop", "agents": [ "Storyteller" ], "matchId": "019de7d7-f850-75bc-9abb-6a61c1abb796", "evidence": "China cities (red) vs ROW (blue) growth lines.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 75, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 182, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Contrast Pairs", "slug": "contrast-pairs", "status": "active", "bestFor": null, "canonId": "019dd956-9b77-70d3-88b1-f34e26f60860", "version": 1, "bodyDocId": null, "description": "Creating tension through opposites: Before↔After, Problem↔Solution, Pain↔Relief", "familyLabel": null, "categoryName": "Loop", "categorySlug": "loop" }, "agent": "Storyteller", "layer": "loop", "agents": [ "Storyteller" ], "matchId": "019de7d7-f86f-760a-911d-ca89f6d5cee6", "evidence": "Incumbent vs disruptor performance tables (Viacom vs Netflix etc).", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 80, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 185, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Contrast Pairs", "slug": "contrast-pairs", "status": "active", "bestFor": null, "canonId": "019dd956-9b77-70d3-88b1-f34e26f60860", "version": 1, "bodyDocId": null, "description": "Creating tension through opposites: Before↔After, Problem↔Solution, Pain↔Relief", "familyLabel": null, "categoryName": "Loop", "categorySlug": "loop" }, "agent": "Storyteller", "layer": "loop", "agents": [ "Storyteller" ], "matchId": "019de7d7-fa3d-7731-9112-d48d48c6a382", "evidence": "Volume up vs cost down dual-axis.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 196, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Causal Chain", "slug": "causal-chain", "status": "active", "bestFor": null, "canonId": "019dd956-9e98-7269-907b-8cf727e9499d", "version": 1, "bodyDocId": null, "description": "Showing how one event leads to another in sequence", "familyLabel": null, "categoryName": "Loop", "categorySlug": "loop" }, "agent": "Architect", "layer": "loop", "agents": [ "Architect" ], "matchId": "019de7d7-fa5c-73ed-9f25-cf63f4682c80", "evidence": "Network -> software -> data progression of leverage.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 198, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Causal Chain", "slug": "causal-chain", "status": "active", "bestFor": null, "canonId": "019dd956-9e98-7269-907b-8cf727e9499d", "version": 1, "bodyDocId": null, "description": "Showing how one event leads to another in sequence", "familyLabel": null, "categoryName": "Loop", "categorySlug": "loop" }, "agent": "Architect", "layer": "loop", "agents": [ "Architect" ], "matchId": "019de7d7-fa7b-72ea-8a3c-002e9be4d796", "evidence": "Three-wave evolution diagram with arrows.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 199, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Contrast Pairs", "slug": "contrast-pairs", "status": "active", "bestFor": null, "canonId": "019dd956-9b77-70d3-88b1-f34e26f60860", "version": 1, "bodyDocId": null, "description": "Creating tension through opposites: Before↔After, Problem↔Solution, Pain↔Relief", "familyLabel": null, "categoryName": "Loop", "categorySlug": "loop" }, "agent": "Storyteller", "layer": "loop", "agents": [ "Storyteller" ], "matchId": "019de7d7-fad8-720b-b22e-c358461869ba", "evidence": "Scattered papers vs unified dashboard before/after.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 80, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 202, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Contrast Pairs", "slug": "contrast-pairs", "status": "active", "bestFor": null, "canonId": "019dd956-9b77-70d3-88b1-f34e26f60860", "version": 1, "bodyDocId": null, "description": "Creating tension through opposites: Before↔After, Problem↔Solution, Pain↔Relief", "familyLabel": null, "categoryName": "Loop", "categorySlug": "loop" }, "agent": "Storyteller", "layer": "loop", "agents": [ "Storyteller" ], "matchId": "019de7d7-faf7-72b4-b5d2-aead54919aa2", "evidence": "Then-vs-now CRM UX contrast.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 80, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 203, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Contrast Pairs", "slug": "contrast-pairs", "status": "active", "bestFor": null, "canonId": "019dd956-9b77-70d3-88b1-f34e26f60860", "version": 1, "bodyDocId": null, "description": "Creating tension through opposites: Before↔After, Problem↔Solution, Pain↔Relief", "familyLabel": null, "categoryName": "Loop", "categorySlug": "loop" }, "agent": "Storyteller", "layer": "loop", "agents": [ "Storyteller" ], "matchId": "019de7d7-fb86-71a8-a58e-1abce164837a", "evidence": "Static vehicle data vs crowdsourced mobile updates.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 80, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 204, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Contrast Pairs", "slug": "contrast-pairs", "status": "active", "bestFor": null, "canonId": "019dd956-9b77-70d3-88b1-f34e26f60860", "version": 1, "bodyDocId": null, "description": "Creating tension through opposites: Before↔After, Problem↔Solution, Pain↔Relief", "familyLabel": null, "categoryName": "Loop", "categorySlug": "loop" }, "agent": "Storyteller", "layer": "loop", "agents": [ "Storyteller" ], "matchId": "019de7d7-fba7-7227-8007-3a44cea7fcdf", "evidence": "Legacy table-heavy UI vs Datadog dashboard.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 205, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Contrast Pairs", "slug": "contrast-pairs", "status": "active", "bestFor": null, "canonId": "019dd956-9b77-70d3-88b1-f34e26f60860", "version": 1, "bodyDocId": null, "description": "Creating tension through opposites: Before↔After, Problem↔Solution, Pain↔Relief", "familyLabel": null, "categoryName": "Loop", "categorySlug": "loop" }, "agent": "Storyteller", "layer": "loop", "agents": [ "Storyteller" ], "matchId": "019de7d7-fbc8-7027-83cf-b1e5917b00ba", "evidence": "Perimeter firewall vs SaaS dashboard.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 206, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Slide recipe: Cover", "slug": "cover-slide", "status": "active", "bestFor": null, "canonId": "019df269-2a08-767d-9128-e7431e6fe8a3", "version": 1, "bodyDocId": "019df269-29e5-7738-b5fa-6892e5dc8e65", "description": "The first ten seconds. Build it deliberately.", "familyLabel": "slide-recipe", "categoryName": "Slide", "categorySlug": "slide" }, "agent": "designer", "layer": "slide", "agents": [ "designer" ], "matchId": "bb4d6b30-b5c9-478e-8a9d-c5e5fa0dc9d3", "evidence": "title/headline: Internet Trends 2016", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.9, "extraction": { "at": "2026-07-16 22:00:17.295449+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 1, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Slide recipe: Cover", "slug": "cover-slide", "status": "active", "bestFor": null, "canonId": "019df269-2a08-767d-9128-e7431e6fe8a3", "version": 1, "bodyDocId": "019df269-29e5-7738-b5fa-6892e5dc8e65", "description": "The first ten seconds. Build it deliberately.", "familyLabel": "slide-recipe", "categoryName": "Slide", "categorySlug": "slide" }, "agent": "designer", "layer": "slide", "agents": [ "designer" ], "matchId": "ffcde230-a4f0-450f-b362-cb148d5f7d42", "evidence": "title/headline: INTERNET TRENDS 2016 – CODE CONFERENCE", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.9, "extraction": { "at": "2026-07-16 22:00:17.378079+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 2, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "3-Second Rule", "slug": "3-second-rule", "status": "active", "bestFor": null, "canonId": "019dd956-b08d-7453-be6f-4cde5308ed61", "version": 1, "bodyDocId": null, "description": "Audience should grasp the main point within 3 seconds of seeing the slide", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "019de7d7-e3b1-715d-8851-c28af10525ac", "evidence": "Sparse, single metric for instant grasp.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 6, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-e393-7324-943d-6c5204c6a9b4", "evidence": "Headline states insight 'Global Internet Users @ 3B' + growth flat.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 90, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 6, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." }, { "tool": { "name": "Core Message Extraction", "slug": "core-message-extraction", "status": "active", "bestFor": "Any slide that carries an argument or finding. The diagnostic: if the slide has a chart on it, it needs a core message. Run extraction whenever the current title is a topic (Q3 performance, Customer satisfaction) rather than a claim, or when a reader could reasonably draw more than one conclusion from the visible evidence.", "canonId": "019dd956-bc71-707d-8867-1b2e810175cf", "version": 1, "bodyDocId": "f85613cb-4b77-462f-bfe6-3b862516e1a6", "description": "The discipline of distilling raw analysis, data, or content into a single declarative sentence — the slide's core message — that the audience would walk away with if they remembered nothing else. Process, not artefact: extraction questions run on the raw content until one sentence falls out.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-e3d1-746a-8fcc-f2f9cb38df8b", "evidence": "Distills entire trend into one number + delta.", "pageRefs": null, "priority": null, "whenToUse": "Any slide that carries an argument or finding. The diagnostic: if the slide has a chart on it, it needs a core message. Run extraction whenever the current title is a topic (Q3 performance, Customer satisfaction) rather than a claim, or when a reader could reasonably draw more than one conclusion from the visible evidence.", "confidence": 70, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 6, "whyItWorks": "Solves the two failure modes of slide writing simultaneously: the topic title (which outsources interpretation to the audience and produces three different conclusions in three different heads) and the multi-thesis stapler (which exceeds working memory and gets remembered as fragments). Aligns with how readers actually consume decks — Heath & Heath's Find the Core, the journalist's nut graf, and Minto's governing thought all converge on the same cognitive economics.", "antipattern": "Topic titles disguised as core messages (Customer satisfaction, no verb, no stake); multi-thesis sentences stapled with and; hedged sentences (may show signs of possible softening); chart-caption titles (Revenue fell 4%) that restate what the chart already shows instead of naming the so-what; meta-commentary (this slide explores...) that describes the slide rather than concluding it.", "cardinality": null, "narrativePurpose": "Forces the slide author to do the interpretive work before the slide ships, so the audience does not have to do it during the meeting. Wins the WYSIATI battle on purpose — the loudest fragment on the page becomes the author's chosen sentence rather than whichever chart label happens to be largest." }, { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-e3f0-77b9-9452-27cadd2d438f", "evidence": "Title carries headline insight, not topic.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 88, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 7, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." }, { "tool": { "name": "Annotation", "slug": "annotation", "status": "active", "bestFor": null, "canonId": "019dd956-b5b9-7668-bf0e-3af99823ec5c", "version": 1, "bodyDocId": null, "description": "Adding explanatory labels to highlight key data points", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "019de7d7-e431-7426-a38d-e64f39126d0d", "evidence": "Callout 'Excluding India' contextualizes data.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 7, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Chart Selection Guide", "slug": "chart-selection-guide", "status": "active", "bestFor": null, "canonId": "019dd956-b1a0-700b-ba17-0e16c4d5bcae", "version": 1, "bodyDocId": null, "description": "Choosing the right chart type for your data and message", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "019de7d7-e410-72af-9fa3-9f0f29a1fd1c", "evidence": "Bar+line dual-axis correlates volume with growth rate.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 7, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-e470-704c-acd3-72d711f178a2", "evidence": "'India Passed USA to Become #2' is the so-what.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 90, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 8, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." }, { "tool": { "name": "Von Restorff Effect", "slug": "von-restorff-effect", "status": "active", "bestFor": null, "canonId": "019dd956-beab-73d8-9f62-30d0332e926e", "version": 1, "bodyDocId": null, "description": "Items that stand out are noticed and remembered - make key points visually distinct", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "019de7d7-e4dc-7185-9f39-e31cd7768205", "evidence": "Single high-impact callout stands out among text.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 65, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 8, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-e4fb-73c3-8d3f-fff5a3268977", "evidence": "States Android 81% share + ASP delta to iOS.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 88, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 13, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." }, { "tool": { "name": "Chart Selection Guide", "slug": "chart-selection-guide", "status": "active", "bestFor": null, "canonId": "019dd956-b1a0-700b-ba17-0e16c4d5bcae", "version": 1, "bodyDocId": null, "description": "Choosing the right chart type for your data and message", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "019de7d7-e519-76c8-b385-10020b4b7fc0", "evidence": "Grouped bars + supporting table show share + ASP.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 75, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 13, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "2x2 matrix", "slug": "matrix-2x2", "status": "active", "bestFor": null, "canonId": "019dd9e1-50ab-72d1-8afb-3ab0a38e32a8", "version": 1, "bodyDocId": null, "description": "BCG matrix, importance/urgency, any axes-and-quadrants frame.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "36784b94-e78d-4fc4-8378-ba5be3068b0a", "evidence": "The list/bullet points categorize countries into groups based on barriers to Internet adoption, which can be seen as a form of 2x2 matrix.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:00:16.451525+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 15, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null }, { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-e5a0-7528-8ff2-9dafbec4275f", "evidence": "Action title cites McKinsey 5-group thesis.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 85, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 15, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." }, { "tool": { "name": "Authority Bias", "slug": "authority-bias", "status": "active", "bestFor": null, "canonId": "019dd956-c38d-70b9-a284-b2b479763356", "version": 1, "bodyDocId": null, "description": "Expert opinions are weighted more heavily - cite credible sources", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Architect", "Storyteller" ], "matchId": "019de7d7-e5de-71b8-96ff-55f18203d272", "evidence": "'per McKinsey' borrows authority.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 75, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 15, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-e5ff-7195-9285-8598bb175777", "evidence": "Headline gives % of GNI per capita per country.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 85, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 16, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." }, { "tool": { "name": "Color Strategy", "slug": "color-strategy", "status": "active", "bestFor": null, "canonId": "019dd956-b202-77cf-8a6e-f445b08c0fd3", "version": 1, "bodyDocId": null, "description": "Using color for emphasis, categories, sentiment, and hierarchy", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "019de7d7-e61e-73cd-8002-e960a79f7ae5", "evidence": "Developing (blue) vs developed (black) color coding.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 75, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 16, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Contrast Principle", "slug": "contrast-principle", "status": "active", "bestFor": null, "canonId": "019dd956-bf0f-73ae-b9df-e60508cdaa65", "version": 1, "bodyDocId": null, "description": "Higher visual weight draws attention - use contrast strategically for emphasis", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "019de7d7-e63e-7363-8109-d05a67c6b555", "evidence": "Bars contrast affordability across markets.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 16, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Data-Ink Ratio", "slug": "data-ink-ratio", "status": "active", "bestFor": null, "canonId": "019dd956-afc8-70da-b378-92834d36fde6", "version": 1, "bodyDocId": null, "description": "Maximize data, minimize non-data ink - remove chartjunk and decoration", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "d602875d-dce0-4b86-90a6-de7187363c92", "evidence": "The chart/bar-horizontal shows a clear and simple representation of data, prioritizing data-ink ratio.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:00:16.519691+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 16, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-e65d-75eb-b73e-f1e316649811", "evidence": "'Below 20-Year Average in 6 of 8 years' is the headline insight.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 88, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 19, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." }, { "tool": { "name": "Annotation", "slug": "annotation", "status": "active", "bestFor": null, "canonId": "019dd956-b5b9-7668-bf0e-3af99823ec5c", "version": 1, "bodyDocId": null, "description": "Adding explanatory labels to highlight key data points", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "019de7d7-e6e8-774c-a437-42b51f61b847", "evidence": "20-year avg callout line.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 19, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Chart Selection Guide", "slug": "chart-selection-guide", "status": "active", "bestFor": null, "canonId": "019dd956-b1a0-700b-ba17-0e16c4d5bcae", "version": 1, "bodyDocId": null, "description": "Choosing the right chart type for your data and message", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "d79bce4f-dab8-4322-8f64-d26ca369358a", "evidence": "The chart/bar-vertical effectively shows the trend of Global Real GDP Growth over time.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:00:16.592064+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 19, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Color Strategy", "slug": "color-strategy", "status": "active", "bestFor": null, "canonId": "019dd956-b202-77cf-8a6e-f445b08c0fd3", "version": 1, "bodyDocId": null, "description": "Using color for emphasis, categories, sentiment, and hierarchy", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "019de7d7-e67d-70ae-91c3-eaf3cd595a64", "evidence": "Green=above avg, red=below avg color coding.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 80, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 19, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-e727-74ab-bc91-8f2ffb9390d9", "evidence": "'-39% since 5/14' is action-title.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 85, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 21, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." }, { "tool": { "name": "Annotation", "slug": "annotation", "status": "active", "bestFor": null, "canonId": "019dd956-b5b9-7668-bf0e-3af99823ec5c", "version": 1, "bodyDocId": null, "description": "Adding explanatory labels to highlight key data points", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "019de7d7-e746-7450-8767-48212788fb9a", "evidence": "Annotated arrows highlight downward trend.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 75, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 21, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Chart Selection Guide", "slug": "chart-selection-guide", "status": "active", "bestFor": null, "canonId": "019dd956-b1a0-700b-ba17-0e16c4d5bcae", "version": 1, "bodyDocId": null, "description": "Choosing the right chart type for your data and message", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "602845c0-01f9-48cc-8d6f-f58e158acd6a", "evidence": "The chart/line clearly displays the trend of the Bloomberg Commodity Index over time.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:00:16.661207+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 21, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-e7ae-7203-9815-b984d4412c53", "evidence": "'1985 = NA+Eur+Japan, 2015 = China + EM Asia' insight.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 85, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 23, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." }, { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-e80f-72c8-9c63-673eb65824da", "evidence": "Headline says past 6 yrs > previous 30 yrs.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 85, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 25, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." }, { "tool": { "name": "Annotation", "slug": "annotation", "status": "active", "bestFor": null, "canonId": "019dd956-b5b9-7668-bf0e-3af99823ec5c", "version": 1, "bodyDocId": null, "description": "Adding explanatory labels to highlight key data points", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "019de7d7-e82f-748a-a6d5-71ce873ae011", "evidence": "Bracket annotation comparing two periods.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 25, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Waterfall chart", "slug": "waterfall-chart", "status": "active", "bestFor": null, "canonId": "e2799da3-725f-44a9-a093-570f1f388e64", "version": 1, "bodyDocId": null, "description": null, "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "f8e30287-26d6-42ed-a40a-97d87f0d1b50", "evidence": "The chart/bar-vertical shows the change in China Gross Capital Formation over time, which can be seen as a form of waterfall chart.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:00:16.765977+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 25, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Metaphor & Analogy", "slug": "metaphor-analogy", "status": "active", "bestFor": null, "canonId": "019dd956-adea-7729-bca1-70810d6238a9", "version": 1, "bodyDocId": null, "description": "Making abstract concepts concrete through familiar comparisons", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "019de7d7-e84e-7437-abca-663c7bbad3b1", "evidence": "Shanghai Pudong 1987 vs 2016 photo metaphor for scale.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 26, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Picture Superiority Effect", "slug": "picture-superiority-effect", "status": "active", "bestFor": null, "canonId": "019dd956-c201-7014-bb58-3e85e3e11dfd", "version": 1, "bodyDocId": null, "description": "Pictures remembered 6x better than words - prioritize visuals over text", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "019de7d7-e86e-76fb-9f7b-75b182ac4758", "evidence": "Visual photo pair beats text data.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 75, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 26, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-e88d-7322-9616-4055b8f8d1f4", "evidence": "'+9% debt vs +2% GDP' insight in title.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 85, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 32, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." }, { "tool": { "name": "Chart Selection Guide", "slug": "chart-selection-guide", "status": "active", "bestFor": null, "canonId": "019dd956-b1a0-700b-ba17-0e16c4d5bcae", "version": 1, "bodyDocId": null, "description": "Choosing the right chart type for your data and message", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "019de7d7-e8f5-762a-87ed-88cec71309ed", "evidence": "Stacked bars + CAGR table.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 32, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-e915-701a-b3f2-022258879a4c", "evidence": "Headline gives 202% vs 147% delta.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 80, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 33, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." }, { "tool": { "name": "Color Strategy", "slug": "color-strategy", "status": "active", "bestFor": null, "canonId": "019dd956-b202-77cf-8a6e-f445b08c0fd3", "version": 1, "bodyDocId": null, "description": "Using color for emphasis, categories, sentiment, and hierarchy", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "019de7d7-e934-768e-8709-80f9c1a563ee", "evidence": "Red=leveraging, green=deleveraging axis.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 33, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-e954-70d7-92f5-adb59c58b67b", "evidence": "'Easy Growth Behind Us' is the synthesis.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 92, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 38, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." }, { "tool": { "name": "Core Message Extraction", "slug": "core-message-extraction", "status": "active", "bestFor": "Any slide that carries an argument or finding. The diagnostic: if the slide has a chart on it, it needs a core message. Run extraction whenever the current title is a topic (Q3 performance, Customer satisfaction) rather than a claim, or when a reader could reasonably draw more than one conclusion from the visible evidence.", "canonId": "019dd956-bc71-707d-8867-1b2e810175cf", "version": 1, "bodyDocId": "f85613cb-4b77-462f-bfe6-3b862516e1a6", "description": "The discipline of distilling raw analysis, data, or content into a single declarative sentence — the slide's core message — that the audience would walk away with if they remembered nothing else. Process, not artefact: extraction questions run on the raw content until one sentence falls out.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-e9b9-7268-b521-1280e5eda3a9", "evidence": "Single line distills entire macro section.", "pageRefs": null, "priority": null, "whenToUse": "Any slide that carries an argument or finding. The diagnostic: if the slide has a chart on it, it needs a core message. Run extraction whenever the current title is a topic (Q3 performance, Customer satisfaction) rather than a claim, or when a reader could reasonably draw more than one conclusion from the visible evidence.", "confidence": 85, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 38, "whyItWorks": "Solves the two failure modes of slide writing simultaneously: the topic title (which outsources interpretation to the audience and produces three different conclusions in three different heads) and the multi-thesis stapler (which exceeds working memory and gets remembered as fragments). Aligns with how readers actually consume decks — Heath & Heath's Find the Core, the journalist's nut graf, and Minto's governing thought all converge on the same cognitive economics.", "antipattern": "Topic titles disguised as core messages (Customer satisfaction, no verb, no stake); multi-thesis sentences stapled with and; hedged sentences (may show signs of possible softening); chart-caption titles (Revenue fell 4%) that restate what the chart already shows instead of naming the so-what; meta-commentary (this slide explores...) that describes the slide rather than concluding it.", "cardinality": null, "narrativePurpose": "Forces the slide author to do the interpretive work before the slide ships, so the audience does not have to do it during the meeting. Wins the WYSIATI battle on purpose — the loudest fragment on the page becomes the author's chosen sentence rather than whichever chart label happens to be largest." }, { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-e9f8-75ad-8553-577fec396141", "evidence": "'5 Epic Growth Drivers Losing Mojo'.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 90, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 39, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." }, { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-ea38-70b6-9075-9c068825bc1c", "evidence": "Action title pivots to opportunity for innovators.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 90, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 41, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." }, { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-ea94-756c-8a96-0d3117ea9c90", "evidence": "Title quotes Mobile +66% vs Desktop +5%.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 88, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 44, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." }, { "tool": { "name": "Chart Selection Guide", "slug": "chart-selection-guide", "status": "active", "bestFor": null, "canonId": "019dd956-b1a0-700b-ba17-0e16c4d5bcae", "version": 1, "bodyDocId": null, "description": "Choosing the right chart type for your data and message", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "019de7d7-eb01-72cd-97fd-c58f0d2c2dda", "evidence": "Stacked bars + line for $ + Y/Y growth.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 44, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-eb20-74c9-bd69-d2653420a1c7", "evidence": "'Google + Facebook = 76% share of growth'.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 90, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 45, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." }, { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-eb5f-7779-9721-6c2c4a9f88b9", "evidence": "'$22B Opportunity' is the so-what.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 85, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 46, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." }, { "tool": { "name": "Annotation", "slug": "annotation", "status": "active", "bestFor": null, "canonId": "019dd956-b5b9-7668-bf0e-3af99823ec5c", "version": 1, "bodyDocId": null, "description": "Adding explanatory labels to highlight key data points", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "019de7d7-ebe6-7113-bc94-162c2460d55e", "evidence": "Arrows mark over/under-indexing direction.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 46, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "So What? Test", "slug": "so-what-test", "status": "active", "bestFor": "On every slide carrying a chart, number, list, or finding intended to inform a decision; whenever a draft title is descriptive rather than directive; whenever the deck will circulate without its author.", "canonId": "019dd956-acd2-76f8-b59a-9bf15a89f10a", "version": 1, "bodyDocId": "fec04b06-b2f1-432b-a97b-916dc7563f64", "description": "The recursive editorial discipline of asking so-what of every slide, chart, and statement until the answer is an implication for the audience — that final answer becomes the slide's title; the chain becomes its body.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-ebc6-752c-b2e1-72e9fc0a12ad", "evidence": "Time-vs-spend gap -> opportunity sizing.", "pageRefs": null, "priority": "Core", "whenToUse": "On every slide carrying a chart, number, list, or finding intended to inform a decision; whenever a draft title is descriptive rather than directive; whenever the deck will circulate without its author.", "confidence": 80, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 46, "whyItWorks": "Solves the two failure modes of analytical communication at once: stopping at description (analyst-confidence problem) and leaving insight stranded in the analyst's head (translation problem). The recursion is what guarantees the implication makes it into ink.", "antipattern": "Stopping at the first tighter description (still a fact, not an implication), regressing past the audience's decision space into philosophy, smuggling the so-what into speaker notes, or re-using an implication aimed at a previous audience.", "cardinality": null, "narrativePurpose": "Forces every analytical artefact to close the gap between fact and decision, so the reader holds the recommendation by reading titles alone rather than reconstructing the analyst's mental model from raw evidence." }, { "tool": { "name": "Metaphor & Analogy", "slug": "metaphor-analogy", "status": "active", "bestFor": null, "canonId": "019dd956-adea-7729-bca1-70810d6238a9", "version": 1, "bodyDocId": null, "description": "Making abstract concepts concrete through familiar comparisons", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "019de7d7-ec06-727a-8594-59447d4e1519", "evidence": "Snapchat '3V' framework as memorable mnemonic.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 65, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 49, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Sinatra Test", "slug": "sinatra-test", "status": "active", "bestFor": null, "canonId": "019dd956-be4a-775f-8038-d4e7e58dfc5a", "version": 1, "bodyDocId": null, "description": "If you can make it there, you can make it anywhere - using flagship example", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "019de7d7-ec24-761c-b53c-cbe6f2c08e81", "evidence": "Spotify and Furious 7 as flagship examples.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 60, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 49, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "2x2 matrix", "slug": "matrix-2x2", "status": "active", "bestFor": null, "canonId": "019dd9e1-50ab-72d1-8afb-3ab0a38e32a8", "version": 1, "bodyDocId": null, "description": "BCG matrix, importance/urgency, any axes-and-quadrants frame.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "61385e7f-3291-4730-bc70-f9c451d1f920", "evidence": "Comparison matrix of generations (Silent, Boomers, Gen X, Millennials) across Birth Years, Summary, Core Values, Work/Life Balance, Technology, and Financial Approach.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:00:24.346614+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 52, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null }, { "tool": { "name": "Von Restorff Effect", "slug": "von-restorff-effect", "status": "active", "bestFor": null, "canonId": "019dd956-beab-73d8-9f62-30d0332e926e", "version": 1, "bodyDocId": null, "description": "Items that stand out are noticed and remembered - make key points visually distinct", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "019de7d7-ec63-7147-abf9-c293c1414338", "evidence": "Red dashed box highlights Millennials column.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 52, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "2x2 matrix", "slug": "matrix-2x2", "status": "active", "bestFor": null, "canonId": "019dd9e1-50ab-72d1-8afb-3ab0a38e32a8", "version": 1, "bodyDocId": null, "description": "BCG matrix, importance/urgency, any axes-and-quadrants frame.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "249b5464-61ef-4f61-b2e7-73899895c272", "evidence": "Comparison table of Silent, Baby Boomers, Gen X, and Millennials across 8 metrics including location, diversity, marital status, education, employment, income, and population.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:00:24.430514+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 53, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null }, { "tool": { "name": "Von Restorff Effect", "slug": "von-restorff-effect", "status": "active", "bestFor": null, "canonId": "019dd956-beab-73d8-9f62-30d0332e926e", "version": 1, "bodyDocId": null, "description": "Items that stand out are noticed and remembered - make key points visually distinct", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "019de7d7-eca2-7309-a971-db8b31c51f3b", "evidence": "Red dashed box on Millennials.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 53, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-ed0c-7189-9e5d-af28ab3dfe34", "evidence": "'Internet > TV > Radio' growth ranking.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 85, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 55, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." }, { "tool": { "name": "Small Multiples", "slug": "small-multiples", "status": "active", "bestFor": null, "canonId": "019dd956-b32d-7586-b368-baa1dd388ed4", "version": 1, "bodyDocId": null, "description": "Repeating similar charts for comparison across categories or time", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "019de7d7-ed2c-717d-80d9-6bd12ee79e8f", "evidence": "20-year normalized comparison of three media eras.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 60, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 55, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Metaphor & Analogy", "slug": "metaphor-analogy", "status": "active", "bestFor": null, "canonId": "019dd956-adea-7729-bca1-70810d6238a9", "version": 1, "bodyDocId": null, "description": "Making abstract concepts concrete through familiar comparisons", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "019de7d7-ed4c-766f-8975-b5c2862927b8", "evidence": "Photo timeline analogizes retail evolution.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 65, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 57, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Picture Superiority Effect", "slug": "picture-superiority-effect", "status": "active", "bestFor": null, "canonId": "019dd956-c201-7014-bb58-3e85e3e11dfd", "version": 1, "bodyDocId": null, "description": "Pictures remembered 6x better than words - prioritize visuals over text", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "019de7d7-ed6b-7502-92e6-fad3459d6398", "evidence": "Photo gallery makes evolution visual.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 57, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-edd1-7609-9725-82880ac58c0f", "evidence": "JCP->Walmart->Amazon->Casper progression in title.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 80, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 58, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." }, { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-edf2-715a-877d-8f449a73856a", "evidence": "Millennials = 27% population, rising spend.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 85, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 60, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." }, { "tool": { "name": "Color Strategy", "slug": "color-strategy", "status": "active", "bestFor": null, "canonId": "019dd956-b202-77cf-8a6e-f445b08c0fd3", "version": 1, "bodyDocId": null, "description": "Using color for emphasis, categories, sentiment, and hierarchy", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "019de7d7-ee13-7115-8732-d4964b90b79c", "evidence": "Green bars isolate millennial cohort.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 75, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 60, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-ee33-752d-97f4-9b24caccf2c4", "evidence": "10% e-comm vs <2% in 2000.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 85, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 61, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." }, { "tool": { "name": "Audience Definition", "slug": "audience-definition", "status": "active", "bestFor": null, "canonId": "019dd956-7f2a-775d-aeee-ff099bcb7756", "version": 1, "bodyDocId": null, "description": "Six key questions: Who are they? What do they know? What do they believe? What do they care about? What do they fear? What decisions can they make?", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "bdf8745c-0e37-44b2-9774-0236321cd61a", "evidence": "title/headline: Retail – The New Normal = Drive Transaction Volume → Collect / Use Data → Launch New Products / Private Labels...", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:00:37.031515+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 63, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Data Story Arc", "slug": "data-story-arc", "status": "active", "bestFor": null, "canonId": "019dd956-9c30-728e-b974-d3fb123dcf5a", "version": 1, "bodyDocId": null, "description": "Context → Conflict → Insight → Implication structure for data narratives", "familyLabel": null, "categoryName": "Loop", "categorySlug": "loop" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "5792d424-21f6-479f-995b-5574d28eb982", "evidence": "metric/big-number: 11% Home & Garden; 10% Household; 21% Electronics; 12% Men's Apparel; 9% Women's Clothing", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 0.6, "extraction": { "at": "2026-07-16 22:00:37.068642+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 63, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Audience Persona", "slug": "audience-persona", "status": "active", "bestFor": null, "canonId": "019dd956-7fe3-74e9-88b8-be0bea34f219", "version": 1, "bodyDocId": null, "description": "Detailed fictional profile of typical audience member including goals, frustrations, and context", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "bc73aa55-b34a-4d24-ac0b-b9dc44aa5084", "evidence": "paragraph/paragraph: Less differentiation between products / brands / retailers as single products evolve into brands + consumers shop directly from brands + retailers leverage insights to develop own vertically-integrated brands...", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.6, "extraction": { "at": "2026-07-16 22:00:37.14073+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 64, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Metaphor & Analogy", "slug": "metaphor-analogy", "status": "active", "bestFor": null, "canonId": "019dd956-adea-7729-bca1-70810d6238a9", "version": 1, "bodyDocId": null, "description": "Making abstract concepts concrete through familiar comparisons", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "019de7d7-ee52-7618-8ace-8a170fc2a30d", "evidence": "Casper/Warby/Thrive/Stitch Fix as case-mosaic.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 65, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 64, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Chart Selection Guide", "slug": "chart-selection-guide", "status": "active", "bestFor": null, "canonId": "019dd956-b1a0-700b-ba17-0e16c4d5bcae", "version": 1, "bodyDocId": null, "description": "Choosing the right chart type for your data and message", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "99b7d7fb-c275-4055-b6a8-6b1e7dc008d2", "evidence": "chart/bar-horizontal: Top 5 Physical Retailers by Sales / Sq. Ft., USA, 2015*", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.6, "extraction": { "at": "2026-07-16 22:00:37.215824+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 65, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "AIDA Model", "slug": "aida-model", "status": "active", "bestFor": null, "canonId": "019dd956-86fc-773c-813f-d416714b8413", "version": 1, "bodyDocId": null, "description": "Attention, Interest, Desire, Action - classic persuasion sequence", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "4b792958-ffcd-4732-b327-787b89ef28ce", "evidence": "quote: Our customer acquisition strategy was Facebook. Our [target customer] typically spends a lot of time on Facebook...Every $100 we spent on Facebook was worth $1,000 in sales. For us, it was a simple math equation.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.6, "extraction": { "at": "2026-07-16 22:00:37.358492+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 68, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Emotional Appeal", "slug": "emotional-appeal", "status": "active", "bestFor": null, "canonId": "019dd956-bde9-7668-8be7-0097678fec59", "version": 1, "bodyDocId": null, "description": "Connecting to audience feelings rather than just logic", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "019de7d7-ee92-729e-8b08-561ed0757838", "evidence": "Practitioner quote about $100->$1000 ROI.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 60, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 68, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-eeb1-765b-b75c-ee2e2f840ab8", "evidence": "$100MM in <5 yrs vs Nike 14 yrs.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 88, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 71, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." }, { "tool": { "name": "Section divider", "slug": "section-divider", "status": "active", "bestFor": null, "canonId": "019dd9e1-4c66-707d-8d1f-6e14547134c7", "version": 1, "bodyDocId": null, "description": "A transitional slide marking the start of a new section.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "3bbccc05-b071-4f54-a657-2f17e3ffbc71", "evidence": "title/headline: RE-IMAGINING COMMUNICATION VIA SOCIAL PLATFORMS – VIDEO – IMAGE – MESSAGING", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.9, "extraction": { "at": "2026-07-16 22:00:37.553361+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 72, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null }, { "tool": { "name": "Audience Definition", "slug": "audience-definition", "status": "active", "bestFor": null, "canonId": "019dd956-7f2a-775d-aeee-ff099bcb7756", "version": 1, "bodyDocId": null, "description": "Six key questions: Who are they? What do they know? What do they believe? What do they care about? What do they fear? What decisions can they make?", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "db49039c-2182-4bff-9e76-48c6ff0d97d3", "evidence": "title/subtitle: Attributes – Millennials vs. Gen Z", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:00:31.949218+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 75, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Comparison frame", "slug": "comparison-frame", "status": "active", "bestFor": null, "canonId": "019dd9e1-484b-7399-a4fc-d14644b99f93", "version": 1, "bodyDocId": null, "description": "Two or more states/subjects placed side by side to expose a gap.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "6da8abf0-c225-46db-ad02-e4cfb3644a01", "evidence": "list/comparison: Millennials: Tech Savvy: 2 screens at once, Communicate with text, Curators and Sharers, Now-focused, Optimists, Want to be discovered. Gen Z: Tech Innate: 5 screens at once, Communicate with images, Cre", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:00:31.887645+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 75, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null }, { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-ef1b-74f9-b3a4-9f94936559db", "evidence": "Live->On-Demand->Semi-Live->Real-Live progression.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 80, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 76, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." }, { "tool": { "name": "Before-After-Bridge", "slug": "before-after-bridge", "status": "active", "bestFor": null, "canonId": "019dd956-8604-7188-883f-42370288ad05", "version": 1, "bodyDocId": null, "description": "Narrative structure: Paint the before, show the after, explain the bridge", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "2b177e35-5c14-4679-9d83-cca2f8fa4e3e", "evidence": "callout: Live → On-Demand → Semi-Live → Real-Live", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:00:32.03095+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 76, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-ef5e-7398-95ea-94ec3a7febea", "evidence": "Same arc with platform examples.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 80, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 77, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." }, { "tool": { "name": "BCG Growth-Share Matrix", "slug": "bcg-growth-share-matrix", "status": "active", "bestFor": null, "canonId": "019de52d-1e65-748e-be86-47bed7c1258d", "version": 1, "bodyDocId": null, "description": null, "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "05ec10a4-fd61-4348-8294-c1dad551f6b4", "evidence": "list/comparison: Live (Linear) 1926; On-Demand 1999; Semi-Live 2013; Real-Live 2015/2016", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.5, "extraction": { "at": "2026-07-16 22:00:32.111898+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 77, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Logical chain", "slug": "logical-chain", "status": "active", "bestFor": null, "canonId": "019dd9e1-5104-702f-8953-85757af6553d", "version": 1, "bodyDocId": null, "description": "If-then, premise-conclusion, deductive chain.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "f6449a27-f9e4-4c8c-b03c-7e8f3087f4c5", "evidence": "Live (Linear) → On-Demand → Semi-Live → Real-Live", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.6, "extraction": { "at": "2026-07-16 22:00:32.152895+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 77, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null }, { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-efdd-77b8-aef7-e3333100b41b", "evidence": "Snapchat trifecta Stories->Live->Discover.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 85, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 81, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." }, { "tool": { "name": "Canvas framework", "slug": "canvas-framework", "status": "active", "bestFor": null, "canonId": "019dd9e1-5005-762c-82f8-265b08436ca1", "version": 1, "bodyDocId": null, "description": "Named canvas (business model canvas, value prop canvas, etc.).", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "3832a2f1-b8f3-4c0c-8d88-58d1cd6c43d5", "evidence": "framework/instance: Evolution of Snapchat Content Strategy", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.6, "extraction": { "at": "2026-07-16 22:00:32.352727+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 81, "whyItWorks": null, "antipattern": null, "cardinality": "optional", "narrativePurpose": null }, { "tool": { "name": "Emotional Appeal", "slug": "emotional-appeal", "status": "active", "bestFor": null, "canonId": "019dd956-bde9-7668-8be7-0097678fec59", "version": 1, "bodyDocId": null, "description": "Connecting to audience feelings rather than just logic", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "019de7d7-f03b-7009-b705-7a3b28acf22d", "evidence": "Emotional virality story.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 60, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 86, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Story Moments", "slug": "story-moments", "status": "active", "bestFor": null, "canonId": "019dd956-ae4e-768d-a18b-108e6cda511e", "version": 1, "bodyDocId": null, "description": "Design key emotional beats: The Shock, The Vision, The Proof, The Choice, The Call", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "019de7d7-f01b-778b-bc7f-8d57009f6f81", "evidence": "Chewbacca-Mom viral moment as narrative beat.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 65, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 86, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-f05b-7370-917f-b347d09eceef", "evidence": "3,000 daily photos shared per user, scale headline.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 80, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 91, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." }, { "tool": { "name": "Annotation", "slug": "annotation", "status": "active", "bestFor": null, "canonId": "019dd956-b5b9-7668-bf0e-3af99823ec5c", "version": 1, "bodyDocId": null, "description": "Adding explanatory labels to highlight key data points", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "019de7d7-f079-769c-91f1-34085d45dc12", "evidence": "Bracket marks Facebook-owned share.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 72, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 91, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Chartjunk Elimination", "slug": "chartjunk-elimination", "status": "active", "bestFor": null, "canonId": "019dd956-b49e-7453-ab01-b60f338eeda1", "version": 1, "bodyDocId": null, "description": "Remove decorative elements that don't convey data: 3D effects, shadows, unnecessary gridlines", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "b4a4a022-6cc5-4b1a-8060-d817426f1ccc", "evidence": "Annotations pointing to specific UI elements like notifications, scoreboard, tweets, commentary, and toggles.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:00:26.584561+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 91, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Chart Selection Guide", "slug": "chart-selection-guide", "status": "active", "bestFor": null, "canonId": "019dd956-b1a0-700b-ba17-0e16c4d5bcae", "version": 1, "bodyDocId": null, "description": "Choosing the right chart type for your data and message", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "342b96f0-e813-4932-9580-55d158ff3fda", "evidence": "chart/bar-vertical: % of Users on Each Platform Who Utilize to Find / Shop for Products, USA, 4/16", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:00:26.697116+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 93, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Chart Selection Guide", "slug": "chart-selection-guide", "status": "active", "bestFor": null, "canonId": "019dd956-b1a0-700b-ba17-0e16c4d5bcae", "version": 1, "bodyDocId": null, "description": "Choosing the right chart type for your data and message", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "1083d678-721e-4029-a5c5-7e4985c1a394", "evidence": "chart/bar-grouped: Average Daily Time Spent per User, USA, 11/14 & 6/15", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:00:26.774479+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 94, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-f09a-721e-8ddf-dfd1501bae0a", "evidence": "OfferUp ramping faster than eBay at same stage.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 82, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 95, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." }, { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-f0ba-701e-bbb9-6f053280f1c2", "evidence": "Title names WhatsApp/Messenger/WeChat as leaders.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 85, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 100, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." }, { "tool": { "name": "Chartjunk Elimination", "slug": "chartjunk-elimination", "status": "active", "bestFor": null, "canonId": "019dd956-b49e-7453-ab01-b60f338eeda1", "version": 1, "bodyDocId": null, "description": "Remove decorative elements that don't convey data: 3D effects, shadows, unnecessary gridlines", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "ce191611-4472-4a5b-96f2-164f2ff86076", "evidence": "Line chart showing MAU growth for WhatsApp, Facebook Messenger, WeChat, Instagram, Twitter, and LinkedIn.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:00:24.927881+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 100, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Chart Selection Guide", "slug": "chart-selection-guide", "status": "active", "bestFor": null, "canonId": "019dd956-b1a0-700b-ba17-0e16c4d5bcae", "version": 1, "bodyDocId": null, "description": "Choosing the right chart type for your data and message", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "019de7d7-f126-7291-87d2-343d910bcb28", "evidence": "Multi-series line with launch-year context.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 75, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 100, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Color Strategy", "slug": "color-strategy", "status": "active", "bestFor": null, "canonId": "019dd956-b202-77cf-8a6e-f445b08c0fd3", "version": 1, "bodyDocId": null, "description": "Using color for emphasis, categories, sentiment, and hierarchy", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "019de7d7-f146-72cd-8214-d90feb30e743", "evidence": "Blue shading marks 2015-16 additions.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 104, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Comparison frame", "slug": "comparison-frame", "status": "active", "bestFor": null, "canonId": "019dd9e1-484b-7399-a4fc-d14644b99f93", "version": 1, "bodyDocId": null, "description": "Two or more states/subjects placed side by side to expose a gap.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "9d32db0e-b12e-421d-8166-12db722f89a2", "evidence": "Comparison table of KakaoTalk, WeChat, and LINE features", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:00:25.136571+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 104, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null }, { "tool": { "name": "Audience Definition", "slug": "audience-definition", "status": "active", "bestFor": null, "canonId": "019dd956-7f2a-775d-aeee-ff099bcb7756", "version": 1, "bodyDocId": null, "description": "Six key questions: Who are they? What do they know? What do they believe? What do they care about? What do they fear? What decisions can they make?", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "154eb43d-84bc-4e75-905b-1c39d2e7a61e", "evidence": "Started Offering Customer Service on Facebook Messenger in 12/15", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 0.6, "extraction": { "at": "2026-07-16 22:00:25.217209+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 105, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Customer journey map", "slug": "customer-journey-map", "status": "active", "bestFor": null, "canonId": "019de52d-1b26-7499-98c8-1091acc836be", "version": 1, "bodyDocId": null, "description": null, "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "7f917961-d5ea-49d9-9513-dbbb60653439", "evidence": "Sequence of 6 mobile screenshots showing the shopping process", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.8, "extraction": { "at": "2026-07-16 22:00:25.33769+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 107, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-f166-73df-9168-ffadcf4cf738", "evidence": "Best vs worst contact-channel for millennials.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 88, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 108, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." }, { "tool": { "name": "Data Story Arc", "slug": "data-story-arc", "status": "active", "bestFor": null, "canonId": "019dd956-9c30-728e-b974-d3fb123dcf5a", "version": 1, "bodyDocId": null, "description": "Context → Conflict → Insight → Implication structure for data narratives", "familyLabel": null, "categoryName": "Loop", "categorySlug": "loop" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "e7558b24-bf32-4b3d-a8af-f0c7e3b33115", "evidence": "Table showing contact channel percentages by generation", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 0.6, "extraction": { "at": "2026-07-16 22:00:25.420115+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 108, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Von Restorff Effect", "slug": "von-restorff-effect", "status": "active", "bestFor": null, "canonId": "019dd956-beab-73d8-9f62-30d0332e926e", "version": 1, "bodyDocId": null, "description": "Items that stand out are noticed and remembered - make key points visually distinct", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "019de7d7-f1ea-759c-8218-4fe39d4a2c14", "evidence": "Red borders highlight top channels.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 108, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Data-Ink Ratio", "slug": "data-ink-ratio", "status": "active", "bestFor": null, "canonId": "019dd956-afc8-70da-b378-92834d36fde6", "version": 1, "bodyDocId": null, "description": "Maximize data, minimize non-data ink - remove chartjunk and decoration", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "04bede98-d8d9-4959-91de-0a33a355d1bb", "evidence": "Table showing USA vs Worldwide metrics for apps installed, daily usage, usage concentration, time spent, and top apps.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:00:25.544965+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 110, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Comparison frame", "slug": "comparison-frame", "status": "active", "bestFor": null, "canonId": "019dd9e1-484b-7399-a4fc-d14644b99f93", "version": 1, "bodyDocId": null, "description": "Two or more states/subjects placed side by side to expose a gap.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "92e7e60c-9706-44d5-92b4-95d5077dea7d", "evidence": "comparison_table components", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:00:29.996561+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 111, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null }, { "tool": { "name": "Section divider", "slug": "section-divider", "status": "active", "bestFor": null, "canonId": "019dd9e1-4c66-707d-8d1f-6e14547134c7", "version": 1, "bodyDocId": null, "description": "A transitional slide marking the start of a new section.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "90fd210a-36a8-47e6-bae2-f096587ea594", "evidence": "section_divider type", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.9, "extraction": { "at": "2026-07-16 22:00:30.080548+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 112, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null }, { "tool": { "name": "Section divider", "slug": "section-divider", "status": "active", "bestFor": null, "canonId": "019dd9e1-4c66-707d-8d1f-6e14547134c7", "version": 1, "bodyDocId": null, "description": "A transitional slide marking the start of a new section.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "0dfc3801-f023-417e-bcbe-a083cded00f8", "evidence": "section_divider type", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.9, "extraction": { "at": "2026-07-16 22:00:30.155636+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 113, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null }, { "tool": { "name": "Section divider", "slug": "section-divider", "status": "active", "bestFor": null, "canonId": "019dd9e1-4c66-707d-8d1f-6e14547134c7", "version": 1, "bodyDocId": null, "description": "A transitional slide marking the start of a new section.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "a5f6b577-6698-40ca-8a10-8a9ebe824bd2", "evidence": "section_divider type", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.9, "extraction": { "at": "2026-07-16 22:00:30.300577+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 116, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null }, { "tool": { "name": "Authority Bias", "slug": "authority-bias", "status": "active", "bestFor": null, "canonId": "019dd956-c38d-70b9-a284-b2b479763356", "version": 1, "bodyDocId": null, "description": "Expert opinions are weighted more heavily - cite credible sources", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Architect", "Storyteller" ], "matchId": "019de7d7-f228-746f-b787-c9435f72abf3", "evidence": "Andrew Ng quote on 95->99% accuracy borrows expert authority.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 80, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 118, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Credibility Transfer", "slug": "credibility-transfer", "status": "active", "bestFor": null, "canonId": "019dd956-bd34-759a-8e3b-2f14b571a2a1", "version": 1, "bodyDocId": null, "description": "Borrowing authority from trusted sources or vivid details", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "019de7d7-f248-734c-80ff-26fdac774213", "evidence": "Quote by recognized AI authority validates threshold claim.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 75, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 118, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-f268-778b-baeb-9c5491c80b63", "evidence": "Words recognized at human level milestone.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 80, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 119, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." }, { "tool": { "name": "Chart Selection Guide", "slug": "chart-selection-guide", "status": "active", "bestFor": null, "canonId": "019dd956-b1a0-700b-ba17-0e16c4d5bcae", "version": 1, "bodyDocId": null, "description": "Choosing the right chart type for your data and message", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "019de7d7-f28a-702c-97d9-cce8dfe4a0cc", "evidence": "Log-scale line for exponential improvement.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 75, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 119, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-f2a9-7438-8df2-1e1939254d9a", "evidence": "+90% accuracy across major platforms.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 80, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 120, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." }, { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-f2c8-753f-8e6c-08c808c4b56d", "evidence": "Voice-assistant adoption rising fast.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 122, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." }, { "tool": { "name": "Waterfall chart", "slug": "waterfall-chart", "status": "active", "bestFor": null, "canonId": "e2799da3-725f-44a9-a093-570f1f388e64", "version": 1, "bodyDocId": null, "description": null, "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "94145722-68c5-4819-a4ce-f0ac7c5e65fb", "evidence": "chart/line: Google Trends, Worldwide, 2008 – 2016", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:00:35.898515+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 123, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Waterfall chart", "slug": "waterfall-chart", "status": "active", "bestFor": null, "canonId": "e2799da3-725f-44a9-a093-570f1f388e64", "version": 1, "bodyDocId": null, "description": null, "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "b5b1563c-9d50-42bc-a569-a86d9512019f", "evidence": "chart/line: Baidu Speech Recognition Daily Usage by API Calls, Global, 2014 – 2016", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:00:35.998737+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 124, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Waterfall chart", "slug": "waterfall-chart", "status": "active", "bestFor": null, "canonId": "e2799da3-725f-44a9-a093-570f1f388e64", "version": 1, "bodyDocId": null, "description": null, "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "4a91b4a0-471b-4ac7-a92e-8113b6eaa91e", "evidence": "chart/line: Baidu Text to Speech (TTS) Daily Usage by API Calls, Global, 2014 – 2016", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:00:35.964467+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 124, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "2x2 matrix", "slug": "matrix-2x2", "status": "active", "bestFor": null, "canonId": "019dd9e1-50ab-72d1-8afb-3ab0a38e32a8", "version": 1, "bodyDocId": null, "description": "BCG matrix, importance/urgency, any axes-and-quadrants frame.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "a4c36437-73c6-45a0-87c7-a892f9ca2f67", "evidence": "chart/pie: Pie chart showing: General Information (30%), Personal Assistant (27%), Local Information (22%), Fun & Entertainment (21%)", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:00:36.070043+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 125, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null }, { "tool": { "name": "Authority Bias", "slug": "authority-bias", "status": "active", "bestFor": null, "canonId": "019dd956-c38d-70b9-a284-b2b479763356", "version": 1, "bodyDocId": null, "description": "Expert opinions are weighted more heavily - cite credible sources", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Architect", "Storyteller" ], "matchId": "019de7d7-f351-77e7-9741-e8ec6cf21575", "evidence": "Andrew Ng forecast: 50% of search via images/speech.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 75, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 126, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Credibility Transfer", "slug": "credibility-transfer", "status": "active", "bestFor": null, "canonId": "019dd956-bd34-759a-8e3b-2f14b571a2a1", "version": 1, "bodyDocId": null, "description": "Borrowing authority from trusted sources or vivid details", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "019de7d7-f372-72d7-9650-b8b5fe670363", "evidence": "Expert quote sells the future-state.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 126, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-f391-7518-a8cf-89062e834622", "evidence": "Alexa Skills 950 vs 14 (Y/Y).", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 80, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 130, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." }, { "tool": { "name": "List presentation", "slug": "list-presentation", "status": "active", "bestFor": null, "canonId": "019dd9e1-4ef7-777d-ba68-9074c2b3bcf1", "version": 1, "bodyDocId": null, "description": "Bulleted, numbered, or checklist enumerations.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "27ab1d7b-35c1-4e30-9ba4-8da15f55308d", "evidence": "list/numbered: 1. Shopping Lists (2014) 2. Reorder past purchases by voice (2015) 3. Order new items – assuming you are fine with Amazon selecting exact item (2015)", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:00:36.21167+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 130, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null }, { "tool": { "name": "Picture Superiority Effect", "slug": "picture-superiority-effect", "status": "active", "bestFor": null, "canonId": "019dd956-c201-7014-bb58-3e85e3e11dfd", "version": 1, "bodyDocId": null, "description": "Pictures remembered 6x better than words - prioritize visuals over text", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "019de7d7-f3f7-71d2-8f96-139393c95b99", "evidence": "Product images ground the abstract platform argument.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 65, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 130, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-f417-7018-b8ed-0747c2746917", "evidence": "5% of customers own Echo, ~4MM units sold.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 80, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 132, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." }, { "tool": { "name": "Color Strategy", "slug": "color-strategy", "status": "active", "bestFor": null, "canonId": "019dd956-b202-77cf-8a6e-f445b08c0fd3", "version": 1, "bodyDocId": null, "description": "Using color for emphasis, categories, sentiment, and hierarchy", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "019de7d7-f457-74d8-af5b-f5b779cf3e6c", "evidence": "Yellow 2016E bar marks decline visually.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 134, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-f495-77d8-8135-6dfa3d040023", "evidence": "'Early innings of L2/L3' is the so-what.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 80, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 140, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." }, { "tool": { "name": "Chart Selection Guide", "slug": "chart-selection-guide", "status": "active", "bestFor": null, "canonId": "019dd956-b1a0-700b-ba17-0e16c4d5bcae", "version": 1, "bodyDocId": null, "description": "Choosing the right chart type for your data and message", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "019de7d7-f4b5-732b-87b3-51d9e4715553", "evidence": "Tabular L0-L4 maturity ladder.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 140, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-f542-761b-97e1-ac4407287b78", "evidence": "USA 13% vs 76% (1950) production share.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 80, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 145, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." }, { "tool": { "name": "Thesis archetype", "slug": "thesis-archetype", "status": "active", "bestFor": null, "canonId": "019dd9e1-4b0b-7428-9b26-f171d1e753fb", "version": 1, "bodyDocId": null, "description": "A canonical investment / activist thesis shape (breakup, fraud, governance).", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "a04640de-9666-4669-8bf3-6c70eb7a7635", "evidence": "The title 'Car Industry = Innovation Accelerating in USA' clearly presents a thesis statement.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.9, "extraction": { "at": "2026-07-16 22:00:46.176866+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 147, "whyItWorks": null, "antipattern": null, "cardinality": "optional", "narrativePurpose": null }, { "tool": { "name": "Audience Definition", "slug": "audience-definition", "status": "active", "bestFor": null, "canonId": "019dd956-7f2a-775d-aeee-ff099bcb7756", "version": 1, "bodyDocId": null, "description": "Six key questions: Who are they? What do they know? What do they believe? What do they care about? What do they fear? What decisions can they make?", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "201ae1bb-c9df-4577-a8e7-1b505f49644c", "evidence": "The presence of 'USA = Potential to be Global Hub of Auto Industry Again?' suggests an audience definition focused on the US auto industry.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:00:46.252524+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 148, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Market Segmentation Pyramid", "slug": "market-segmentation-pyramid", "status": "active", "bestFor": null, "canonId": "1c9f3543-c96f-4a5b-b4a4-9b2a412c0aaf", "version": 1, "bodyDocId": null, "description": null, "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "3ed343bb-e85b-46a4-8c7a-58ce91eebac1", "evidence": "The list '1) Incumbents – GM / Ford...Leading (2 of Top 10 Global) Auto Manufacturers' implies a market segmentation approach.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.5, "extraction": { "at": "2026-07-16 22:00:46.288203+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 148, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-f582-735c-b439-4ea48ff396ec", "evidence": "Calls for regulatory space for innovation.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 149, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." }, { "tool": { "name": "Problem-Agitate-Solve (PAS)", "slug": "problem-agitate-solve-pas", "status": "active", "bestFor": null, "canonId": "019dd956-869f-7564-8d42-de54ed29ab90", "version": 1, "bodyDocId": null, "description": "Identify problem, agitate the pain, present the solution", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "7f5f1c03-a632-4d47-9a18-43429f80fe10", "evidence": "The title 'USA Could Benefit from Creating Space in the Automotive Regulatory Framework to Foster Innovation' implies a problem-agitate-solve approach.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:00:46.356575+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 149, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Anadiplosis", "slug": "anadiplosis", "status": "active", "bestFor": null, "canonId": "019dd956-a0a5-75f9-a98c-7b7d8ee377a1", "version": 1, "bodyDocId": null, "description": "Ending one clause with a word that begins the next", "familyLabel": null, "categoryName": "Loop", "categorySlug": "loop" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "c4bb5c09-b518-4601-88ec-9995c21c1d15", "evidence": "The comparison of past and present regulatory environments implies anadiplosis.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.5, "extraction": { "at": "2026-07-16 22:00:46.461432+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 150, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Analytical method", "slug": "analytical-method", "status": "active", "bestFor": null, "canonId": "b42c4911-7946-49b5-951c-5f3d23f4e2bd", "version": 1, "bodyDocId": null, "description": "Diagnostic / structuring methods (5-whys, fishbone, issue tree, hypothesis-driven).", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "20565201-513b-4c23-8a05-16e6321e6e86", "evidence": "The use of historical examples (Jitneys, Locomotive Act) suggests an analytical method.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.5, "extraction": { "at": "2026-07-16 22:00:46.425483+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 150, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null }, { "tool": { "name": "BCG Growth-Share Matrix", "slug": "bcg-growth-share-matrix", "status": "active", "bestFor": null, "canonId": "019de52d-1e65-748e-be86-47bed7c1258d", "version": 1, "bodyDocId": null, "description": null, "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "9e349f1b-ba2c-4dff-af67-78dafb2399ad", "evidence": "The global perspective on the auto industry by region implies a growth-share matrix analysis.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.5, "extraction": { "at": "2026-07-16 22:00:46.530606+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 151, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Section divider", "slug": "section-divider", "status": "active", "bestFor": null, "canonId": "019dd9e1-4c66-707d-8d1f-6e14547134c7", "version": 1, "bodyDocId": null, "description": "A transitional slide marking the start of a new section.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "05cedc0b-5e36-44be-919e-ac4fab468d00", "evidence": "The title 'Re-Imagining Transportation – Mobility also Being Re-Imagined' serves as a clear section divider.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.9, "extraction": { "at": "2026-07-16 22:00:46.598257+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 152, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null }, { "tool": { "name": "Authority Bias", "slug": "authority-bias", "status": "active", "bestFor": null, "canonId": "019dd956-c38d-70b9-a284-b2b479763356", "version": 1, "bodyDocId": null, "description": "Expert opinions are weighted more heavily - cite credible sources", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Architect", "Storyteller" ], "matchId": "019de7d7-f603-7730-a481-6f56c211974d", "evidence": "Mary Barra (GM) + Mark Fields (Ford) CEO quotes validate disruption.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 80, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 153, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Credibility Transfer", "slug": "credibility-transfer", "status": "active", "bestFor": null, "canonId": "019dd956-bd34-759a-8e3b-2f14b571a2a1", "version": 1, "bodyDocId": null, "description": "Borrowing authority from trusted sources or vivid details", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "019de7d7-f622-72a9-8d80-5f276f5e24f8", "evidence": "OEM CEO quotes used as expert testimony.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 75, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 153, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Problem Statement Canvas", "slug": "problem-statement-canvas", "status": "active", "bestFor": null, "canonId": "019dd956-839d-744b-ad11-9bf3e3642a18", "version": 1, "bodyDocId": null, "description": "Structured definition of the problem: What? Who? Where? When? Scale?", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "dc23c671-7d62-45a9-ba8e-488a8e9d3d00", "evidence": "The title 'Car Ownership Costs (Money + Time) = High' and the list of bullet points imply a problem statement canvas.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:00:46.701452+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 154, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Metaphor & Analogy", "slug": "metaphor-analogy", "status": "active", "bestFor": null, "canonId": "019dd956-adea-7729-bca1-70810d6238a9", "version": 1, "bodyDocId": null, "description": "Making abstract concepts concrete through familiar comparisons", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "019de7d7-f642-75d8-98d2-9068d87175a3", "evidence": "Backseat-again analogy for autonomous-car media time.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 158, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "List presentation", "slug": "list-presentation", "status": "active", "bestFor": null, "canonId": "019dd9e1-4ef7-777d-ba68-9074c2b3bcf1", "version": 1, "bodyDocId": null, "description": "Bulleted, numbered, or checklist enumerations.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "3d243fef-1460-456d-9b0e-8c41a79bef03", "evidence": "list/bullet: Is part of a network that provides a commuting service that comes to you? Is the most advanced computing device you use? In effect, is an on-demand cash generator, boosted by car / ride sharing?", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:00:27.955164+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 160, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null }, { "tool": { "name": "Thesis archetype", "slug": "thesis-archetype", "status": "active", "bestFor": null, "canonId": "019dd9e1-4b0b-7428-9b26-f171d1e753fb", "version": 1, "bodyDocId": null, "description": "A canonical investment / activist thesis shape (breakup, fraud, governance).", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "7cc1b472-0dba-436c-ac52-e44bdea52ac6", "evidence": "title/action-title: Robust Service-Driven Job & Income Growth... Despite Investment Slowdown", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.8, "extraction": { "at": "2026-07-16 22:00:28.061477+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 162, "whyItWorks": null, "antipattern": null, "cardinality": "optional", "narrativePurpose": null }, { "tool": { "name": "2x2 matrix", "slug": "matrix-2x2", "status": "active", "bestFor": null, "canonId": "019dd9e1-50ab-72d1-8afb-3ab0a38e32a8", "version": 1, "bodyDocId": null, "description": "BCG matrix, importance/urgency, any axes-and-quadrants frame.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "7211ffff-305a-4f8e-9f5a-8119356a2f11", "evidence": "chart/area-stacked: Stacked area chart showing GDP composition by sector from 1995 to 2015", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.6, "extraction": { "at": "2026-07-16 22:00:28.131468+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 163, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null }, { "tool": { "name": "Legend / context", "slug": "legend-context", "status": "active", "bestFor": null, "canonId": "019dd9e1-4e9e-7082-8f2e-c1e169365858", "version": 1, "bodyDocId": null, "description": "Footnote, definition, source attribution.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "1ba17a61-b4cd-45bb-9abc-66be6493f4ad", "evidence": "list/bullet: Legend for GDP sectors including Tertiary (Others, Real Estate, Finance, etc.), Secondary (Construction, Manufacturing), and Primary (Agriculture).", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:00:28.165565+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 163, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null }, { "tool": { "name": "Chart Selection Guide", "slug": "chart-selection-guide", "status": "active", "bestFor": null, "canonId": "019dd956-b1a0-700b-ba17-0e16c4d5bcae", "version": 1, "bodyDocId": null, "description": "Choosing the right chart type for your data and message", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "a0b03ff9-aafb-4f85-a8ff-6c10a8f46bf0", "evidence": "chart/bar-grouped: China Annual Employment Change by Sector, 1995 – 2015", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:00:28.235511+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 164, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Chart Selection Guide", "slug": "chart-selection-guide", "status": "active", "bestFor": null, "canonId": "019dd956-b1a0-700b-ba17-0e16c4d5bcae", "version": 1, "bodyDocId": null, "description": "Choosing the right chart type for your data and message", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "984d3144-01d2-485f-a2ff-2d988eb6d8f7", "evidence": "chart/bar-vertical: Urban Disposable Income per Capita", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:00:28.306648+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 165, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-f662-75a8-8950-cf7168e0da08", "evidence": "BAT trio = 71% mobile time.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 82, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 168, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." }, { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-f6a1-726a-820c-47e83ad2d69d", "evidence": "China online > TV (2015), 42% vs USA 39%.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 85, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 170, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." }, { "tool": { "name": "Annotation", "slug": "annotation", "status": "active", "bestFor": null, "canonId": "019dd956-b5b9-7668-bf0e-3af99823ec5c", "version": 1, "bodyDocId": null, "description": "Adding explanatory labels to highlight key data points", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "019de7d7-f6c0-712e-af5d-6318acff5c95", "evidence": "Red circle marks 2015 crossover.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 75, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 170, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-f6e0-75ff-8faf-8d1a10a03355", "evidence": "China retailers dominate top rankings vs USA.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 80, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 171, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." }, { "tool": { "name": "Color Strategy", "slug": "color-strategy", "status": "active", "bestFor": null, "canonId": "019dd956-b202-77cf-8a6e-f445b08c0fd3", "version": 1, "bodyDocId": null, "description": "Using color for emphasis, categories, sentiment, and hierarchy", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "019de7d7-f74a-725b-a604-6889828902c8", "evidence": "Color marks pure-play e-commerce.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 72, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 171, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Slide recipe: the peer-gap chart", "slug": "peer-gap-chart-recipe", "status": "active", "bestFor": null, "canonId": "019df269-2b04-75bc-ad85-e0179264bdd7", "version": 1, "bodyDocId": "019df269-2ae1-771d-9cd1-193a2e25f21c", "description": "The single most-copied slide in activism. This is the exact layout, used", "familyLabel": "slide-recipe", "categoryName": "Slide", "categorySlug": "slide" }, "agent": "designer", "layer": "slide", "agents": [ "designer" ], "matchId": "26a55b47-5a66-4a17-bafb-7abdba60d3e0", "evidence": "The slide shows a comparison between China and USA retailers, which is similar to a peer-gap chart", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:00:28.84992+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 171, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Metaphor & Analogy", "slug": "metaphor-analogy", "status": "active", "bestFor": null, "canonId": "019dd956-adea-7729-bca1-70810d6238a9", "version": 1, "bodyDocId": null, "description": "Making abstract concepts concrete through familiar comparisons", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "019de7d7-f789-754d-8284-fc80adca15c4", "evidence": "Hub-and-spoke diagram of Ant Financial services.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 72, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 179, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Picture Superiority Effect", "slug": "picture-superiority-effect", "status": "active", "bestFor": null, "canonId": "019dd956-c201-7014-bb58-3e85e3e11dfd", "version": 1, "bodyDocId": null, "description": "Pictures remembered 6x better than words - prioritize visuals over text", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "019de7d7-f7a9-725f-8857-20b06e857a01", "evidence": "Visual hub diagram makes ecosystem tangible.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 179, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Section divider", "slug": "section-divider", "status": "active", "bestFor": null, "canonId": "019dd9e1-4c66-707d-8d1f-6e14547134c7", "version": 1, "bodyDocId": null, "description": "A transitional slide marking the start of a new section.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "4f5ab90a-d23f-4592-a348-8af036a77c6c", "evidence": "The slide serves as a section divider, highlighting China Internet Emerging Momentum", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.9, "extraction": { "at": "2026-07-16 22:00:29.264448+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 180, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null }, { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-f80f-7614-aebb-0e03d342f215", "evidence": "China ~70% global on-demand share.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 82, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 181, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." }, { "tool": { "name": "Chart Selection Guide", "slug": "chart-selection-guide", "status": "active", "bestFor": null, "canonId": "019dd956-b1a0-700b-ba17-0e16c4d5bcae", "version": 1, "bodyDocId": null, "description": "Choosing the right chart type for your data and message", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "019de7d7-f82e-73fc-aa3e-f0cf247e8fa9", "evidence": "Size-scaled pies show absolute + share growth.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 65, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 181, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Von Restorff Effect", "slug": "von-restorff-effect", "status": "active", "bestFor": null, "canonId": "019dd956-beab-73d8-9f62-30d0332e926e", "version": 1, "bodyDocId": null, "description": "Items that stand out are noticed and remembered - make key points visually distinct", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "019de7d7-f88f-77d5-9c5d-e7b31a37a9fe", "evidence": "Red circles highlight critical years.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 185, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-f8ae-772d-881f-293ed9a7c848", "evidence": "Current gen growing faster than previous.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 80, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 186, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." }, { "tool": { "name": "Small Multiples", "slug": "small-multiples", "status": "active", "bestFor": null, "canonId": "019dd956-b32d-7586-b368-baa1dd388ed4", "version": 1, "bodyDocId": null, "description": "Repeating similar charts for comparison across categories or time", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "019de7d7-f8cd-7582-bde9-b5a81237682c", "evidence": "Three time-shifted parallel charts (Marketplaces/Commerce/Enterprise).", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 80, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 186, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Color Strategy", "slug": "color-strategy", "status": "active", "bestFor": null, "canonId": "019dd956-b202-77cf-8a6e-f445b08c0fd3", "version": 1, "bodyDocId": null, "description": "Using color for emphasis, categories, sentiment, and hierarchy", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "019de7d7-f8ef-7739-bc43-9a0976d1e138", "evidence": "Color-coded valuation; yellow marks private companies.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 188, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Visual Hierarchy", "slug": "visual-hierarchy", "status": "active", "bestFor": null, "canonId": "019dd956-b2ca-706b-937f-e52441086fd7", "version": 1, "bodyDocId": null, "description": "Order of perception through Size > Color > Position > Weight > Space", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "019de7d7-f957-7484-95f3-7fe439376723", "evidence": "Top-20 leaderboard ranks by market value.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 65, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 188, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-f977-7368-80e7-fc65a4188469", "evidence": "Non-tech acquisitions of tech +2.6x since 2012.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 85, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 190, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." }, { "tool": { "name": "Annotation", "slug": "annotation", "status": "active", "bestFor": null, "canonId": "019dd956-b5b9-7668-bf0e-3af99823ec5c", "version": 1, "bodyDocId": null, "description": "Adding explanatory labels to highlight key data points", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "019de7d7-f997-775c-8326-01e1dacd1535", "evidence": "Growth arrow over bars marks 263% rise.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 190, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Core Message Extraction", "slug": "core-message-extraction", "status": "active", "bestFor": "Any slide that carries an argument or finding. The diagnostic: if the slide has a chart on it, it needs a core message. Run extraction whenever the current title is a topic (Q3 performance, Customer satisfaction) rather than a claim, or when a reader could reasonably draw more than one conclusion from the visible evidence.", "canonId": "019dd956-bc71-707d-8867-1b2e810175cf", "version": 1, "bodyDocId": "f85613cb-4b77-462f-bfe6-3b862516e1a6", "description": "The discipline of distilling raw analysis, data, or content into a single declarative sentence — the slide's core message — that the audience would walk away with if they remembered nothing else. Process, not artefact: extraction questions run on the raw content until one sentence falls out.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-f9b6-74a0-8024-a56f1afafccd", "evidence": "Distills valuation thesis into rule-of-thumb DCF line.", "pageRefs": null, "priority": null, "whenToUse": "Any slide that carries an argument or finding. The diagnostic: if the slide has a chart on it, it needs a core message. Run extraction whenever the current title is a topic (Q3 performance, Customer satisfaction) rather than a claim, or when a reader could reasonably draw more than one conclusion from the visible evidence.", "confidence": 70, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 193, "whyItWorks": "Solves the two failure modes of slide writing simultaneously: the topic title (which outsources interpretation to the audience and produces three different conclusions in three different heads) and the multi-thesis stapler (which exceeds working memory and gets remembered as fragments). Aligns with how readers actually consume decks — Heath & Heath's Find the Core, the journalist's nut graf, and Minto's governing thought all converge on the same cognitive economics.", "antipattern": "Topic titles disguised as core messages (Customer satisfaction, no verb, no stake); multi-thesis sentences stapled with and; hedged sentences (may show signs of possible softening); chart-caption titles (Revenue fell 4%) that restate what the chart already shows instead of naming the so-what; meta-commentary (this slide explores...) that describes the slide rather than concluding it.", "cardinality": null, "narrativePurpose": "Forces the slide author to do the interpretive work before the slide ships, so the audience does not have to do it during the meeting. Wins the WYSIATI battle on purpose — the loudest fragment on the page becomes the author's chosen sentence rather than whichever chart label happens to be largest." }, { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-fa1c-758f-99f0-f966650d739c", "evidence": "+50% data CAGR vs -20% cost CAGR.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 82, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 196, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." }, { "tool": { "name": "Waterfall chart", "slug": "waterfall-chart", "status": "active", "bestFor": null, "canonId": "e2799da3-725f-44a9-a093-570f1f388e64", "version": 1, "bodyDocId": null, "description": null, "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "238f0cd1-a5c2-4627-8e9e-1bff83db1b03", "evidence": "Dual-axis line chart showing Data in Digital Universe (Petabytes) and Storage Costs ($/GB) from 2010 to 2015.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:00:30.492495+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 196, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Canvas framework", "slug": "canvas-framework", "status": "active", "bestFor": null, "canonId": "019dd9e1-5005-762c-82f8-265b08436ca1", "version": 1, "bodyDocId": null, "description": "Named canvas (business model canvas, value prop canvas, etc.).", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "6e264821-d8ca-4ceb-b5da-1d314ce5f48b", "evidence": "Central cloud icon connected to various consumer electronics and app icons", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:00:30.571557+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 197, "whyItWorks": null, "antipattern": null, "cardinality": "optional", "narrativePurpose": null }, { "tool": { "name": "List presentation", "slug": "list-presentation", "status": "active", "bestFor": null, "canonId": "019dd9e1-4ef7-777d-ba68-9074c2b3bcf1", "version": 1, "bodyDocId": null, "description": "Bulleted, numbered, or checklist enumerations.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "acd44116-9977-47d7-ba3c-225ae78e661d", "evidence": "list/bullet: The Software: ... list/bullet: The Data: ... list/bullet: The Infrastructure: ... list/bullet: The Network: ...", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:00:30.65288+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 198, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null }, { "tool": { "name": "Process flow", "slug": "process-flow", "status": "active", "bestFor": null, "canonId": "019dd9e1-4dca-76bc-8135-401836a1c4c0", "version": 1, "bodyDocId": null, "description": "Workflow, steps, sequential diagram.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "8c0f9a0b-038b-47cd-be68-e87e3076825a", "evidence": "Three waves of data platform evolution", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:00:30.735538+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 199, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null }, { "tool": { "name": "Authority Bias", "slug": "authority-bias", "status": "active", "bestFor": null, "canonId": "019dd956-c38d-70b9-a284-b2b479763356", "version": 1, "bodyDocId": null, "description": "Expert opinions are weighted more heavily - cite credible sources", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Architect", "Storyteller" ], "matchId": "019de7d7-fa9b-7138-bcaa-dfe4b4c30036", "evidence": "Frank Bien (Looker CEO) quote validates thesis.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 200, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Credibility Transfer", "slug": "credibility-transfer", "status": "active", "bestFor": null, "canonId": "019dd956-bd34-759a-8e3b-2f14b571a2a1", "version": 1, "bodyDocId": null, "description": "Borrowing authority from trusted sources or vivid details", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "019de7d7-fab9-75c7-ae28-a16ef78dcef4", "evidence": "Industry CEO endorses data-in-workstream claim.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 72, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 200, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Storytelling: audience calibration", "slug": "audience", "status": "active", "bestFor": null, "canonId": "019df269-23ea-723a-87c0-af1d78d702d2", "version": 1, "bodyDocId": "019df269-23c5-72ec-8b94-78fc1da7b656", "description": "The same thesis, written for four different audiences, produces four", "familyLabel": "narrative-block", "categoryName": "Narrative & Transformation", "categorySlug": "narrative-transformation" }, "agent": "storyteller", "layer": "slide", "agents": [ "storyteller" ], "matchId": "94e2a143-e2c8-432b-afba-05ac57106217", "evidence": "As Data Explodes... Data Security Concerns Explode", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:00:31.35943+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 207, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-fc26-74d9-b9e9-fd50901e2ca8", "evidence": "~4B records breached since 2013.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 82, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 209, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." }, { "tool": { "name": "Annotation", "slug": "annotation", "status": "active", "bestFor": null, "canonId": "019dd956-b5b9-7668-bf0e-3af99823ec5c", "version": 1, "bodyDocId": null, "description": "Adding explanatory labels to highlight key data points", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "019de7d7-fc46-708e-8a3a-2962c9fd7213", "evidence": "Hatched 2014 bar marks CyberVor contribution.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 72, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 209, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Chartjunk Elimination", "slug": "chartjunk-elimination", "status": "active", "bestFor": null, "canonId": "019dd956-b49e-7453-ab01-b60f338eeda1", "version": 1, "bodyDocId": null, "description": "Remove decorative elements that don't convey data: 3D effects, shadows, unnecessary gridlines", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "1060d8de-c03d-42a5-bef6-e7d42946fd48", "evidence": "Includes 1.2B unique records breached by a Russian CyberGang called CyberVor.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:00:31.466038+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 209, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Data-Ink Ratio", "slug": "data-ink-ratio", "status": "active", "bestFor": null, "canonId": "019dd956-afc8-70da-b378-92834d36fde6", "version": 1, "bodyDocId": null, "description": "Maximize data, minimize non-data ink - remove chartjunk and decoration", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "df289942-5525-43ca-84ee-9331a8a9ea59", "evidence": "metric/primary: Number of breached records: 4 Billion", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:00:31.504562+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 209, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-fc66-74dc-8c71-35eb6a5f9d04", "evidence": "74% have limited online activity due to privacy.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 210, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." }, { "tool": { "name": "Emotional Appeal", "slug": "emotional-appeal", "status": "active", "bestFor": null, "canonId": "019dd956-bde9-7668-8be7-0097678fec59", "version": 1, "bodyDocId": null, "description": "Connecting to audience feelings rather than just logic", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "019de7d7-fc8b-7359-8b95-c585484ae685", "evidence": "Privacy anxiety framing creates urgency.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 60, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 210, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Comparison frame", "slug": "comparison-frame", "status": "active", "bestFor": null, "canonId": "019dd9e1-484b-7399-a4fc-d14644b99f93", "version": 1, "bodyDocId": null, "description": "Two or more states/subjects placed side by side to expose a gap.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "4e9c4b0c-75df-427b-8d79-cf8a7ae59f2c", "evidence": "...Do People Care About Privacy... Or Do They Care About Who Has Their Data?", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:00:31.648753+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 212, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null }, { "tool": { "name": "Authority Bias", "slug": "authority-bias", "status": "active", "bestFor": null, "canonId": "019dd956-c38d-70b9-a284-b2b479763356", "version": 1, "bodyDocId": null, "description": "Expert opinions are weighted more heavily - cite credible sources", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Architect", "Storyteller" ], "matchId": "019de7d7-fcaa-75d6-8651-b4ea528c819f", "evidence": "Adam Ghetti quote frames legal philosophy question.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 213, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [ { "matchId": "81064790-1c95-4350-9cdf-b62db4840a90", "evidence": "Explicitly named in slide title and source note", "framework": null, "confidence": 1, "extraction": { "at": "2026-05-02 17:38:37.302+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 15, "frameworkName": "Internet Barriers Index" }, { "matchId": "019de7d7-fce9-769d-b430-e597c972d470", "evidence": "Radar chart + 5 group profiles, 'per McKinsey'.", "framework": null, "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 15, "frameworkName": "McKinsey Internet Barriers Index (5 groups)" }, { "matchId": "019de7d7-fd08-740f-813b-1dd9ec3359a6", "evidence": "1985 vs 2015 pie comparison of growth engines.", "framework": null, "confidence": 70, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 23, "frameworkName": "Before/after framing" }, { "matchId": "fcf7214d-c457-496f-a84d-7334f4a9e206", "evidence": "Visual comparison of the same location over two time periods to demonstrate growth.", "framework": null, "confidence": 1, "extraction": { "at": "2026-05-02 17:38:33.263+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 26, "frameworkName": "before-after-framing" }, { "matchId": "019de7d7-fd6f-759c-b9cd-a4ff2d1c599e", "evidence": "Scatter plotting level vs change in debt-to-GDP.", "framework": null, "confidence": 60, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 33, "frameworkName": "NxN matrix (debt-to-GDP scatter)" }, { "matchId": "64a9f40e-9fdf-4746-962d-73146e6878f5", "evidence": "Snapchat's 3V Advertising (Vertical, Video, Viewing)", "framework": null, "confidence": 1, "extraction": { "at": "2026-05-02 17:38:36.44+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 49, "frameworkName": "3V Advertising" }, { "matchId": "ee93cd7a-1105-4eb2-9c00-a066cd415d01", "evidence": "The slide segments the US population by generation to compare consumer preferences.", "framework": null, "confidence": 0.9, "extraction": { "at": "2026-05-02 17:38:36.093+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 52, "frameworkName": "audience-segmentation" }, { "matchId": "019de7d7-fd8e-75ed-9545-6a813e26c6f5", "evidence": "Silent / Boomer / GenX / Millennial values comparison.", "framework": null, "confidence": 65, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 52, "frameworkName": "Generational segmentation table" }, { "matchId": "a78615a9-dbbd-4e82-84c1-a4f45e895e0c", "evidence": "The slide uses a table to compare demographic characteristics across four distinct generational cohorts.", "framework": null, "confidence": 0.9, "extraction": { "at": "2026-05-02 17:38:36.722+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 53, "frameworkName": "comparison_frame" }, { "matchId": "a7ed6cf7-a7d1-4735-a88e-646bde2c1db8", "evidence": "Chronological progression of retail formats", "framework": null, "confidence": 1, "extraction": { "at": "2026-05-02 17:38:38.268+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 57, "frameworkName": "timeline" }, { "matchId": "b2244fea-a3b1-4a76-8963-7ff1761386f2", "evidence": "The slide uses a chronological timeline to map company founding dates against generational cohorts.", "framework": null, "confidence": 1, "extraction": { "at": "2026-05-02 17:38:42.029+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 58, "frameworkName": "timeline" }, { "matchId": "5b2b82f0-d2fa-4b55-a562-53d26aba0c6f", "evidence": "The slide illustrates the vertical integration and blurring of roles in the retail value chain.", "framework": null, "confidence": 0.8, "extraction": { "at": "2026-05-02 17:38:37.557+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 64, "frameworkName": "Value Chain" }, { "matchId": "2d01bb49-588e-482e-bd2e-95ffea73c5b2", "evidence": "The slide explicitly discusses the convergence of physical and digital retail channels.", "framework": null, "confidence": 0.9, "extraction": { "at": "2026-05-02 17:38:38.452+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 65, "frameworkName": "omni-channel-retail" }, { "matchId": "0f5a3593-79f7-4b41-a3b9-f6490f3424a5", "evidence": "The slide demonstrates how product usage leads to viral sharing and community growth, creating a self-reinforcing loop.", "framework": null, "confidence": 0.85, "extraction": { "at": "2026-05-02 17:38:37.614+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 66, "frameworkName": "network-effects-flywheel" }, { "matchId": "b0b27d37-8570-4b95-8145-1938576d7845", "evidence": "The slide outlines the three stages of the customer interaction with the service.", "framework": null, "confidence": 0.9, "extraction": { "at": "2026-05-02 17:38:43.602+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 69, "frameworkName": "customer-journey-map" }, { "matchId": "e8a63b50-db29-4608-99ed-d9eff1e28ee6", "evidence": "Describes data collection leading to better predictions, leading to higher engagement and wallet share.", "framework": null, "confidence": 0.9, "extraction": { "at": "2026-05-02 17:38:39.916+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 70, "frameworkName": "network-effects-flywheel" }, { "matchId": "ee53ed12-56d2-41ac-99bb-1a76d9982440", "evidence": "The slide uses a scatter plot to map social networks across two dimensions (reach and engagement).", "framework": null, "confidence": 0.8, "extraction": { "at": "2026-05-02 17:38:38.805+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 74, "frameworkName": "matrix-2x2" }, { "matchId": "0ef4b6eb-e083-4df2-93a6-89c2c3487c51", "evidence": "Side-by-side comparison of two demographic groups across multiple attributes.", "framework": null, "confidence": 0.9, "extraction": { "at": "2026-05-02 17:38:39.217+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 75, "frameworkName": "comparison_frame" }, { "matchId": "019de7d7-fdad-7533-8c75-3789211adde6", "evidence": "Two-column trait comparison table.", "framework": null, "confidence": 60, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 75, "frameworkName": "Generational comparison (Millennials vs Gen Z)" }, { "matchId": "2eea973f-7bdd-4ef8-a21a-cc75a91865a5", "evidence": "Chronological progression of video consumption models", "framework": null, "confidence": 0.9, "extraction": { "at": "2026-05-02 17:38:39.728+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 77, "frameworkName": "timeline" }, { "matchId": "5001f15f-5927-4c5b-b367-6e418b709801", "evidence": "Chronological progression of product features from 10/13 to 1/15", "framework": null, "confidence": 0.9, "extraction": { "at": "2026-05-02 17:38:40.694+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 81, "frameworkName": "timeline" }, { "matchId": "0d072532-1678-400e-b643-ee2f7c9313cd", "evidence": "Chronological progression of messaging features from 1990s to 2015", "framework": null, "confidence": 0.9, "extraction": { "at": "2026-05-02 17:38:43.491+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 102, "frameworkName": "timeline" }, { "matchId": "972c953a-aba4-47af-bf88-a66a8267edba", "evidence": "Visual sequence of steps a customer takes to complete a purchase.", "framework": null, "confidence": 1, "extraction": { "at": "2026-05-02 17:38:47.194+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 107, "frameworkName": "customer-journey-map" }, { "matchId": "e0fba9e3-34d4-46dc-8523-365066977641", "evidence": "Compares mobile home screens to Internet 1.0 portals.", "framework": null, "confidence": 0.9, "extraction": { "at": "2026-05-02 17:38:43.488+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 109, "frameworkName": "metaphor-analogy" }, { "matchId": "3f366cc6-56f6-4b22-ac2a-ebb355cab06d", "evidence": "Chronological progression of technology milestones", "framework": null, "confidence": 1, "extraction": { "at": "2026-05-02 17:38:44.121+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 115, "frameworkName": "timeline" }, { "matchId": "48313183-fa6a-41ed-a96b-997b8bbfc551", "evidence": "Chronological progression of voice search adoption milestones.", "framework": null, "confidence": 1, "extraction": { "at": "2026-05-02 17:38:47.151+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 126, "frameworkName": "timeline" }, { "matchId": "b82dd902-1259-4333-9057-607ae30562dd", "evidence": "The slide describes a virtuous cycle of hardware proliferation leading to reduced friction and increased shopping frequency.", "framework": null, "confidence": 0.8, "extraction": { "at": "2026-05-02 17:38:52.272+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 131, "frameworkName": "flywheel" }, { "matchId": "74a3e148-598d-42e4-b4ba-dd50abe9e2ef", "evidence": "The slide explicitly references the cognitive bias of hindsight.", "framework": null, "confidence": 1, "extraction": { "at": "2026-05-02 17:38:45.841+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 133, "frameworkName": "hindsight-bias" }, { "matchId": "b3c697fb-ce96-4835-a525-1c6935c1772f", "evidence": "NHTSA classification of automation levels L0-L4", "framework": null, "confidence": 1, "extraction": { "at": "2026-05-02 17:38:47.248+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 140, "frameworkName": "maturity-model" }, { "matchId": "019de7d7-fdcd-72bd-86c5-6d67af5b1d8b", "evidence": "L0->L4 maturity ladder with descriptions, examples, dates.", "framework": null, "confidence": 90, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 140, "frameworkName": "NHTSA Automated Driving Levels (L0-L4)" }, { "matchId": "77f2bd86-1f7d-4802-8544-9f373a0056d8", "evidence": "The slide explicitly compares two different companies and their respective autonomous driving levels and metrics.", "framework": null, "confidence": 0.9, "extraction": { "at": "2026-05-02 17:38:47.563+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 141, "frameworkName": "comparison_frame" }, { "matchId": "b4373078-9b23-4755-8120-a6bce2c976ef", "evidence": "The slide explicitly compares two strategic approaches using a side-by-side list format.", "framework": null, "confidence": 1, "extraction": { "at": "2026-05-02 17:38:48.492+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 142, "frameworkName": "comparison-frame" }, { "matchId": "019de7d7-fe35-72cd-8d44-b215f64a6e8a", "evidence": "Two-strategy comparison split.", "framework": null, "confidence": 55, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 142, "frameworkName": "Strategic options matrix (All-New vs Assimilation)" }, { "matchId": "70e88210-7f71-4ebb-bc25-4d70faa23dad", "evidence": "Chronological progression of industry events across four distinct eras.", "framework": null, "confidence": 1, "extraction": { "at": "2026-05-02 17:38:48.698+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 144, "frameworkName": "timeline" }, { "matchId": "6394be13-c2ab-4ee6-9585-8c43bcaf3f2e", "evidence": "Uses historical examples of regulation to explain current ride-sharing regulatory environment.", "framework": null, "confidence": 0.9, "extraction": { "at": "2026-05-02 17:38:49.004+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 150, "frameworkName": "metaphor-analogy" }, { "matchId": "e4018d45-2d4a-4b7b-8327-d7426dc2193e", "evidence": "Comparing 1904 Rolls Royce to 2015 Mercedes concept to illustrate a cyclical trend in vehicle design.", "framework": null, "confidence": 0.9, "extraction": { "at": "2026-05-02 17:38:51.233+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 158, "frameworkName": "metaphor-analogy" }, { "matchId": "0eb77b7b-e1de-49c3-aa66-6f02d2676750", "evidence": "Segmentation of mobile time spent by major conglomerates", "framework": null, "confidence": 0.6, "extraction": { "at": "2026-05-02 17:38:54.673+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 168, "frameworkName": "market-segmentation-pyramid" }, { "matchId": "44e7922e-f236-47f5-9e75-8dcc3054b051", "evidence": "Side-by-side bar charts comparing China and USA retail markets.", "framework": null, "confidence": 0.9, "extraction": { "at": "2026-05-02 17:38:51.954+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 171, "frameworkName": "comparison-frame" }, { "matchId": "62d0f51d-871c-49c0-8c72-98097d4f7f2e", "evidence": "Direct side-by-side comparison of China vs USA market share growth.", "framework": null, "confidence": 0.9, "extraction": { "at": "2026-05-02 17:38:51.979+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 172, "frameworkName": "comparison_frame" }, { "matchId": "019de7d7-fe55-7289-8628-0a2749ac8e49", "evidence": "Payment hub with four satellite financial services.", "framework": null, "confidence": 70, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 179, "frameworkName": "Hub-and-spoke (Flywheel-style ecosystem)" }, { "matchId": "34f36772-adad-45d0-8e46-a1dc467468ac", "evidence": "Central node (Payment) connected to peripheral nodes (Savings, Lending, etc.)", "framework": null, "confidence": 1, "extraction": { "at": "2026-05-02 17:38:52.53+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 179, "frameworkName": "hub-spoke" }, { "matchId": "6e2769c3-654d-4463-a275-edfe267ab5c6", "evidence": "Time-shifted growth curves comparing companies by years since launch", "framework": null, "confidence": 0.8, "extraction": { "at": "2026-05-02 17:38:53.557+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 186, "frameworkName": "growth-trajectory-analysis" }, { "matchId": "019de7d7-fe7d-7746-8d90-0b4c69e9ee85", "evidence": "Color-coded market value table for top 20.", "framework": null, "confidence": 55, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 188, "frameworkName": "Top-N leaderboard (market cap ranking)" }, { "matchId": "d40bba7c-d963-4b69-ae8e-978b1d8141ec", "evidence": "Central cloud icon with lines radiating to peripheral device icons", "framework": null, "confidence": 0.9, "extraction": { "at": "2026-05-02 17:38:55.075+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 197, "frameworkName": "hub-spoke" }, { "matchId": "17444300-d60c-49e6-afd6-ad200e55d459", "evidence": "The slide presents a sequential progression of four stages where each stage builds upon the previous one to drive growth.", "framework": null, "confidence": 0.9, "extraction": { "at": "2026-05-02 17:39:00.332+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 198, "frameworkName": "causal-chain" }, { "matchId": "019de7d7-fe9d-718e-9bef-d8e9b3b4f89d", "evidence": "Vertical leverage-source progression: networks -> software -> data.", "framework": null, "confidence": 55, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 198, "frameworkName": "Three Horizons / wave evolution" }, { "matchId": "019de7d7-febc-756f-9278-416786215602", "evidence": "1990s -> 2000s -> 2010s tech-stack waves.", "framework": null, "confidence": 60, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 199, "frameworkName": "Three-wave platform evolution" }, { "matchId": "573204bb-a01c-44c8-870f-5fc20bcfbde5", "evidence": "The slide organizes data platform evolution into three distinct chronological waves (First, Second, Third).", "framework": null, "confidence": 0.9, "extraction": { "at": "2026-05-02 17:38:57.581+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 199, "frameworkName": "timeline" }, { "matchId": "ee36bc3f-e0a3-450e-ab33-027e74108134", "evidence": "The slide explicitly contrasts a 'THEN' state of chaos with a 'NOW' state of unified platform.", "framework": null, "confidence": 1, "extraction": { "at": "2026-05-02 17:38:59.62+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 202, "frameworkName": "before-after-framing" }, { "matchId": "5aaef43c-4dff-4449-849c-1c5d1d8e5b43", "evidence": "The slide explicitly contrasts 'THEN' and 'NOW' states to demonstrate product improvement.", "framework": null, "confidence": 1, "extraction": { "at": "2026-05-02 17:38:59.675+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 203, "frameworkName": "before-after-framing" }, { "matchId": "b86a5733-66a5-47dd-87cf-8eb87bcb4d77", "evidence": "The slide explicitly contrasts 'THEN' and 'NOW' to show evolution.", "framework": null, "confidence": 1, "extraction": { "at": "2026-05-02 17:38:56.654+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 204, "frameworkName": "before-after-framing" }, { "matchId": "7d455a5e-c1e1-4639-9db3-c6108a9704b2", "evidence": "The slide explicitly contrasts 'THEN' and 'NOW' states to highlight the value proposition of the new solution.", "framework": null, "confidence": 1, "extraction": { "at": "2026-05-02 17:38:55.888+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 205, "frameworkName": "before-after-framing" }, { "matchId": "9f6bf374-c6b6-4e3d-8a19-641727bbcc04", "evidence": "The slide explicitly contrasts 'THEN' and 'NOW' to show the evolution of security.", "framework": null, "confidence": 1, "extraction": { "at": "2026-05-02 17:38:56.332+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 206, "frameworkName": "before-after-framing" }, { "matchId": "ee0b535d-630a-45ca-8906-ba28d82775aa", "evidence": "Chronological list of events", "framework": null, "confidence": 1, "extraction": { "at": "2026-05-02 17:38:56.606+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 208, "frameworkName": "timeline" }, { "matchId": "be51c727-1560-48b8-8976-f0e3ebafa8fd", "evidence": "Side-by-side comparison of two products to illustrate a behavioral paradox.", "framework": null, "confidence": 0.8, "extraction": { "at": "2026-05-02 17:38:57.113+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 212, "frameworkName": "comparison-frame" } ], "patterns": [] }, "storymakers": { "model": "claude-cli", "backend": "claude", "rawJson": { "arc": { "id": 1, "slug": "consultants-gambit", "beats": [ { "name": "Situation & Context", "end_page": 37, "evidence": "Global internet + macro trends establish baseline state.", "position": 1, "start_page": 5 }, { "name": "Problem & Complication", "end_page": 41, "evidence": "'Easy Growth Behind Us' / '5 Epic Growth Drivers Losing Mojo'.", "position": 2, "start_page": 38 }, { "name": "Solution & Approach", "end_page": 160, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "start_page": 42 }, { "name": "Evidence & Proof", "end_page": 193, "evidence": "China leadership data + public/private company financials.", "position": 4, "start_page": 161 }, { "name": "Impact & Next Steps", "end_page": 213, "evidence": "Data-as-platform examples and privacy-debate implications close out.", "position": 5, "start_page": 194 } ], "evidence": "Macro context (pp 6-37) -> 'Easy Growth Behind Us' problem (pp 38-41) -> innovation domains as solution (pp 42-160) -> China/leaders evidence (pp 161-186) -> data-privacy implications & outlook (pp 187-213).", "confidence": 72 }, "loops": [ { "id": 41, "slug": "41-so-what-cascade", "end_page": 16, "evidence": "Data slides (6,7,9,11,12,13) each carry an action-title insight; pp 14-16 cascade to 'new users harder to garner'.", "position": 1, "objective": "Cascade global-internet user data into the insight that growth is saturating except in emerging markets", "confidence": 75, "start_page": 6 }, { "id": 2, "slug": "02-pattern-hunter", "end_page": 33, "evidence": "Sequence of independent evidences (pp 19,21,23,25,29,30,32,33) converge on the slowdown pattern.", "position": 2, "objective": "Stack multiple macro signals (GDP, commodities, growth-engine shift, debt, rates) pointing to the same conclusion: macro slowdown", "confidence": 80, "start_page": 18 }, { "id": 27, "slug": "27-cost-of-inaction", "end_page": 41, "evidence": "pp 34-37 demographic decline -> p38 'Easy Growth Behind Us' -> p39 5 drivers losing mojo -> p41 internet as response.", "position": 3, "objective": "Show demographic + macro decay accumulating to 'easy growth behind us', flipping into urgency for innovation", "confidence": 78, "start_page": 34 }, { "id": 3, "slug": "03-aha-moment", "end_page": 49, "evidence": "p44 data -> p45 76% concentration -> p46 $22B opportunity -> p47-48 ad-blocking 'call-to-arms'.", "position": 4, "objective": "Move from raw ad-spend data to insight that mobile + Google/Facebook drive growth while ad efficacy lags", "confidence": 72, "start_page": 43 }, { "id": 4, "slug": "04-tale-two-worlds", "end_page": 71, "evidence": "Generation comparison tables (52,53), retail-channel evolution (57-58), digital-native scaling (71).", "position": 5, "objective": "Contrast prior-generation retail world vs. millennial / digital-native world to motivate commerce reinvention", "confidence": 80, "start_page": 50 }, { "id": 21, "slug": "21-before-after", "end_page": 89, "evidence": "Live->On-Demand->Semi-Live->Real-Live diagram (pp 76-77) frames before/after; case studies on Snapchat, FB Live.", "position": 6, "objective": "Map the before/after of video consumption from linear TV to live/social/UGC", "confidence": 78, "start_page": 73 }, { "id": 3, "slug": "03-aha-moment", "end_page": 97, "evidence": "p91 photos shared exploding -> pp93-94 Pinterest/OfferUp shopping use -> pp95-97 Houzz monetization.", "position": 7, "objective": "From rising image-share data to insight that image platforms drive commerce", "confidence": 70, "start_page": 91 }, { "id": 21, "slug": "21-before-after", "end_page": 111, "evidence": "p101 'simple -> expressive', p103 'social -> business', tables on Asia super-apps (104,106), home-screen replacement (111).", "position": 8, "objective": "Show messaging evolving from simple chat (before) to expressive, business-grade super-apps (after)", "confidence": 78, "start_page": 99 }, { "id": 15, "slug": "15-why-now", "end_page": 134, "evidence": "p114-115 historical context, p116 'Why Now?' header, p118-120 99% accuracy threshold trigger, pp 122-134 adoption window.", "position": 9, "objective": "Argue voice as a new computing paradigm - context, accuracy trigger, opportunity window", "confidence": 82, "start_page": 113 }, { "id": 21, "slug": "21-before-after", "end_page": 160, "evidence": "p139 mechanical->computer evolution, p140 NHTSA L0->L4, p153 ownership-to-miles-driven CEO quotes, p160 'Golden Age Take Two'.", "position": 10, "objective": "Cars: from mechanical-to-computer evolution (before) to autonomous + shared-mobility future (after)", "confidence": 75, "start_page": 135 }, { "id": 4, "slug": "04-tale-two-worlds", "end_page": 182, "evidence": "p170 online ads > USA share, pp171-172 e-commerce share, p176 payment frequency, p181 70% global on-demand share.", "position": 11, "objective": "Benchmark China internet metrics against USA to argue China leads on many fronts", "confidence": 82, "start_page": 162 }, { "id": 2, "slug": "02-pattern-hunter", "end_page": 193, "evidence": "p185 incumbent vs disruptor tables, p186 normalized growth curves, p188 top-20 leaderboard, p190 incumbent M&A surge.", "position": 12, "objective": "Stack public + private internet leader evidence to argue current generation growing faster than ever", "confidence": 70, "start_page": 184 }, { "id": 13, "slug": "13-domino-effect", "end_page": 213, "evidence": "p196 50% data CAGR trigger, pp 202-206 platform reactions, p207 'security concerns explode', pp 209-213 breach + privacy fallout.", "position": 13, "objective": "Trigger: data explosion -> first reaction (data as platform) -> next (security/privacy fear) -> impact (legal/societal tension)", "confidence": 72, "start_page": 195 } ], "slide_tools": [ { "tools": [ { "id": 16, "slug": "three-pillars", "layer": "Block", "evidence": "Outline lists 8 thematic chapters - explicit deck-level structure.", "confidence": 70 }, { "id": 2, "slug": "mece-principle", "layer": "Block", "evidence": "Numbered outline aims at distinct, non-overlapping sections.", "confidence": 60 } ], "page_number": 3 }, { "tools": [ { "id": 118, "slug": "action-titles", "layer": "Slide", "evidence": "Headline states insight 'Global Internet Users @ 3B' + growth flat.", "confidence": 90 }, { "id": 127, "slug": "3-second-rule", "layer": "Slide", "evidence": "Sparse, single metric for instant grasp.", "confidence": 78 }, { "id": 153, "slug": "core-message-extraction", "layer": "Slide", "evidence": "Distills entire trend into one number + delta.", "confidence": 70 } ], "page_number": 6 }, { "tools": [ { "id": 118, "slug": "action-titles", "layer": "Slide", "evidence": "Title carries headline insight, not topic.", "confidence": 88 }, { "id": 129, "slug": "chart-selection-guide", "layer": "Slide", "evidence": "Bar+line dual-axis correlates volume with growth rate.", "confidence": 78 }, { "id": 138, "slug": "annotation", "layer": "Slide", "evidence": "Callout 'Excluding India' contextualizes data.", "confidence": 70 }, { "id": 74, "slug": "inductive-reasoning", "layer": "Loop", "evidence": "Loop start: data point feeding cascade conclusion.", "confidence": 72 } ], "page_number": 7 }, { "tools": [ { "id": 118, "slug": "action-titles", "layer": "Slide", "evidence": "'India Passed USA to Become #2' is the so-what.", "confidence": 90 }, { "id": 158, "slug": "von-restorff-effect", "layer": "Slide", "evidence": "Single high-impact callout stands out among text.", "confidence": 65 } ], "page_number": 8 }, { "tools": [ { "id": 118, "slug": "action-titles", "layer": "Slide", "evidence": "States Android 81% share + ASP delta to iOS.", "confidence": 88 }, { "id": 129, "slug": "chart-selection-guide", "layer": "Slide", "evidence": "Grouped bars + supporting table show share + ASP.", "confidence": 75 }, { "id": 78, "slug": "contrast-pairs", "layer": "Loop", "evidence": "iOS vs Android volume/price contrast.", "confidence": 75 } ], "page_number": 13 }, { "tools": [ { "id": 118, "slug": "action-titles", "layer": "Slide", "evidence": "Action title cites McKinsey 5-group thesis.", "confidence": 85 }, { "id": 12, "slug": "audience-segmentation", "layer": "Block", "evidence": "Countries split into 5 attitude/barrier groups.", "confidence": 78 }, { "id": 169, "slug": "authority-bias", "layer": "Slide", "evidence": "'per McKinsey' borrows authority.", "confidence": 75 } ], "page_number": 15 }, { "tools": [ { "id": 118, "slug": "action-titles", "layer": "Slide", "evidence": "Headline gives % of GNI per capita per country.", "confidence": 85 }, { "id": 130, "slug": "color-strategy", "layer": "Slide", "evidence": "Developing (blue) vs developed (black) color coding.", "confidence": 75 }, { "id": 159, "slug": "contrast-principle", "layer": "Slide", "evidence": "Bars contrast affordability across markets.", "confidence": 70 } ], "page_number": 16 }, { "tools": [ { "id": 118, "slug": "action-titles", "layer": "Slide", "evidence": "'Below 20-Year Average in 6 of 8 years' is the headline insight.", "confidence": 88 }, { "id": 130, "slug": "color-strategy", "layer": "Slide", "evidence": "Green=above avg, red=below avg color coding.", "confidence": 80 }, { "id": 138, "slug": "annotation", "layer": "Slide", "evidence": "20-year avg callout line.", "confidence": 78 }, { "id": 74, "slug": "inductive-reasoning", "layer": "Loop", "evidence": "First evidence in macro pattern stack.", "confidence": 70 } ], "page_number": 19 }, { "tools": [ { "id": 118, "slug": "action-titles", "layer": "Slide", "evidence": "'-39% since 5/14' is action-title.", "confidence": 85 }, { "id": 138, "slug": "annotation", "layer": "Slide", "evidence": "Annotated arrows highlight downward trend.", "confidence": 75 } ], "page_number": 21 }, { "tools": [ { "id": 118, "slug": "action-titles", "layer": "Slide", "evidence": "'1985 = NA+Eur+Japan, 2015 = China + EM Asia' insight.", "confidence": 85 }, { "id": 78, "slug": "contrast-pairs", "layer": "Loop", "evidence": "Side-by-side 1985 vs 2015 pies.", "confidence": 82 }, { "id": 26, "slug": "before-after-bridge", "layer": "Block", "evidence": "30-year before/after of growth engines.", "confidence": 70 } ], "page_number": 23 }, { "tools": [ { "id": 118, "slug": "action-titles", "layer": "Slide", "evidence": "Headline says past 6 yrs > previous 30 yrs.", "confidence": 85 }, { "id": 138, "slug": "annotation", "layer": "Slide", "evidence": "Bracket annotation comparing two periods.", "confidence": 78 } ], "page_number": 25 }, { "tools": [ { "id": 121, "slug": "metaphor-analogy", "layer": "Slide", "evidence": "Shanghai Pudong 1987 vs 2016 photo metaphor for scale.", "confidence": 70 }, { "id": 165, "slug": "picture-superiority-effect", "layer": "Slide", "evidence": "Visual photo pair beats text data.", "confidence": 75 } ], "page_number": 26 }, { "tools": [ { "id": 118, "slug": "action-titles", "layer": "Slide", "evidence": "'+9% debt vs +2% GDP' insight in title.", "confidence": 85 }, { "id": 129, "slug": "chart-selection-guide", "layer": "Slide", "evidence": "Stacked bars + CAGR table.", "confidence": 70 } ], "page_number": 32 }, { "tools": [ { "id": 118, "slug": "action-titles", "layer": "Slide", "evidence": "Headline gives 202% vs 147% delta.", "confidence": 80 }, { "id": 130, "slug": "color-strategy", "layer": "Slide", "evidence": "Red=leveraging, green=deleveraging axis.", "confidence": 70 } ], "page_number": 33 }, { "tools": [ { "id": 118, "slug": "action-titles", "layer": "Slide", "evidence": "'Easy Growth Behind Us' is the synthesis.", "confidence": 92 }, { "id": 153, "slug": "core-message-extraction", "layer": "Slide", "evidence": "Single line distills entire macro section.", "confidence": 85 }, { "id": 6, "slug": "big-idea-formula", "layer": "Block", "evidence": "Big idea: easy growth gone, error margin shrinking.", "confidence": 78 } ], "page_number": 38 }, { "tools": [ { "id": 118, "slug": "action-titles", "layer": "Slide", "evidence": "'5 Epic Growth Drivers Losing Mojo'.", "confidence": 90 }, { "id": 16, "slug": "three-pillars", "layer": "Block", "evidence": "Numbered drivers as pillar list.", "confidence": 55 } ], "page_number": 39 }, { "tools": [ { "id": 118, "slug": "action-titles", "layer": "Slide", "evidence": "Action title pivots to opportunity for innovators.", "confidence": 90 }, { "id": 26, "slug": "before-after-bridge", "layer": "Block", "evidence": "Bridges from 'rising risks' (problem) to 'internet at core' (solution).", "confidence": 78 }, { "id": 96, "slug": "the-turn", "layer": "Loop", "evidence": "Pivot from problem framing to solution framing.", "confidence": 78 } ], "page_number": 41 }, { "tools": [ { "id": 118, "slug": "action-titles", "layer": "Slide", "evidence": "Title quotes Mobile +66% vs Desktop +5%.", "confidence": 88 }, { "id": 129, "slug": "chart-selection-guide", "layer": "Slide", "evidence": "Stacked bars + line for $ + Y/Y growth.", "confidence": 78 } ], "page_number": 44 }, { "tools": [ { "id": 118, "slug": "action-titles", "layer": "Slide", "evidence": "'Google + Facebook = 76% share of growth'.", "confidence": 90 }, { "id": 42, "slug": "pareto-principle-80-20", "layer": "Block", "evidence": "Two players capture vast majority of growth.", "confidence": 78 } ], "page_number": 45 }, { "tools": [ { "id": 118, "slug": "action-titles", "layer": "Slide", "evidence": "'$22B Opportunity' is the so-what.", "confidence": 85 }, { "id": 119, "slug": "so-what-test", "layer": "Slide", "evidence": "Time-vs-spend gap -> opportunity sizing.", "confidence": 80 }, { "id": 138, "slug": "annotation", "layer": "Slide", "evidence": "Arrows mark over/under-indexing direction.", "confidence": 70 } ], "page_number": 46 }, { "tools": [ { "id": 121, "slug": "metaphor-analogy", "layer": "Slide", "evidence": "Snapchat '3V' framework as memorable mnemonic.", "confidence": 65 }, { "id": 157, "slug": "sinatra-test", "layer": "Slide", "evidence": "Spotify and Furious 7 as flagship examples.", "confidence": 60 } ], "page_number": 49 }, { "tools": [ { "id": 12, "slug": "audience-segmentation", "layer": "Block", "evidence": "Four-generation profiling table.", "confidence": 80 }, { "id": 158, "slug": "von-restorff-effect", "layer": "Slide", "evidence": "Red dashed box highlights Millennials column.", "confidence": 78 } ], "page_number": 52 }, { "tools": [ { "id": 12, "slug": "audience-segmentation", "layer": "Block", "evidence": "Generation segmentation continued at peak adult years.", "confidence": 78 }, { "id": 158, "slug": "von-restorff-effect", "layer": "Slide", "evidence": "Red dashed box on Millennials.", "confidence": 78 } ], "page_number": 53 }, { "tools": [ { "id": 118, "slug": "action-titles", "layer": "Slide", "evidence": "'Internet > TV > Radio' growth ranking.", "confidence": 85 }, { "id": 133, "slug": "small-multiples", "layer": "Slide", "evidence": "20-year normalized comparison of three media eras.", "confidence": 60 } ], "page_number": 55 }, { "tools": [ { "id": 121, "slug": "metaphor-analogy", "layer": "Slide", "evidence": "Photo timeline analogizes retail evolution.", "confidence": 65 }, { "id": 165, "slug": "picture-superiority-effect", "layer": "Slide", "evidence": "Photo gallery makes evolution visual.", "confidence": 70 } ], "page_number": 57 }, { "tools": [ { "id": 118, "slug": "action-titles", "layer": "Slide", "evidence": "JCP->Walmart->Amazon->Casper progression in title.", "confidence": 80 } ], "page_number": 58 }, { "tools": [ { "id": 118, "slug": "action-titles", "layer": "Slide", "evidence": "Millennials = 27% population, rising spend.", "confidence": 85 }, { "id": 130, "slug": "color-strategy", "layer": "Slide", "evidence": "Green bars isolate millennial cohort.", "confidence": 75 } ], "page_number": 60 }, { "tools": [ { "id": 118, "slug": "action-titles", "layer": "Slide", "evidence": "10% e-comm vs <2% in 2000.", "confidence": 85 } ], "page_number": 61 }, { "tools": [ { "id": 121, "slug": "metaphor-analogy", "layer": "Slide", "evidence": "Casper/Warby/Thrive/Stitch Fix as case-mosaic.", "confidence": 65 } ], "page_number": 64 }, { "tools": [ { "id": 78, "slug": "contrast-pairs", "layer": "Loop", "evidence": "Neiman Marcus -> digital vs Warby Parker -> physical.", "confidence": 75 } ], "page_number": 65 }, { "tools": [ { "id": 156, "slug": "emotional-appeal", "layer": "Slide", "evidence": "Practitioner quote about $100->$1000 ROI.", "confidence": 60 } ], "page_number": 68 }, { "tools": [ { "id": 118, "slug": "action-titles", "layer": "Slide", "evidence": "$100MM in <5 yrs vs Nike 14 yrs.", "confidence": 88 } ], "page_number": 71 }, { "tools": [ { "id": 118, "slug": "action-titles", "layer": "Slide", "evidence": "Live->On-Demand->Semi-Live->Real-Live progression.", "confidence": 80 }, { "id": 86, "slug": "causal-chain", "layer": "Loop", "evidence": "Sequential evolution diagram.", "confidence": 72 } ], "page_number": 76 }, { "tools": [ { "id": 118, "slug": "action-titles", "layer": "Slide", "evidence": "Same arc with platform examples.", "confidence": 80 }, { "id": 26, "slug": "before-after-bridge", "layer": "Block", "evidence": "Loop start: before-after framing of video.", "confidence": 75 } ], "page_number": 77 }, { "tools": [ { "id": 118, "slug": "action-titles", "layer": "Slide", "evidence": "Snapchat trifecta Stories->Live->Discover.", "confidence": 85 }, { "id": 34, "slug": "the-rule-of-three", "layer": "Block", "evidence": "Three-part trifecta.", "confidence": 78 } ], "page_number": 81 }, { "tools": [ { "id": 122, "slug": "story-moments", "layer": "Slide", "evidence": "Chewbacca-Mom viral moment as narrative beat.", "confidence": 65 }, { "id": 156, "slug": "emotional-appeal", "layer": "Slide", "evidence": "Emotional virality story.", "confidence": 60 } ], "page_number": 86 }, { "tools": [ { "id": 118, "slug": "action-titles", "layer": "Slide", "evidence": "3,000 daily photos shared per user, scale headline.", "confidence": 80 }, { "id": 138, "slug": "annotation", "layer": "Slide", "evidence": "Bracket marks Facebook-owned share.", "confidence": 72 } ], "page_number": 91 }, { "tools": [ { "id": 118, "slug": "action-titles", "layer": "Slide", "evidence": "OfferUp ramping faster than eBay at same stage.", "confidence": 82 } ], "page_number": 95 }, { "tools": [ { "id": 118, "slug": "action-titles", "layer": "Slide", "evidence": "Title names WhatsApp/Messenger/WeChat as leaders.", "confidence": 85 }, { "id": 129, "slug": "chart-selection-guide", "layer": "Slide", "evidence": "Multi-series line with launch-year context.", "confidence": 75 } ], "page_number": 100 }, { "tools": [ { "id": 130, "slug": "color-strategy", "layer": "Slide", "evidence": "Blue shading marks 2015-16 additions.", "confidence": 78 } ], "page_number": 104 }, { "tools": [ { "id": 118, "slug": "action-titles", "layer": "Slide", "evidence": "Best vs worst contact-channel for millennials.", "confidence": 88 }, { "id": 78, "slug": "contrast-pairs", "layer": "Loop", "evidence": "Best vs worst phrasing.", "confidence": 70 }, { "id": 158, "slug": "von-restorff-effect", "layer": "Slide", "evidence": "Red borders highlight top channels.", "confidence": 70 } ], "page_number": 108 }, { "tools": [ { "id": 16, "slug": "three-pillars", "layer": "Block", "evidence": "Two parallel lists structuring benefits/qualities.", "confidence": 55 } ], "page_number": 117 }, { "tools": [ { "id": 169, "slug": "authority-bias", "layer": "Slide", "evidence": "Andrew Ng quote on 95->99% accuracy borrows expert authority.", "confidence": 80 }, { "id": 155, "slug": "credibility-transfer", "layer": "Slide", "evidence": "Quote by recognized AI authority validates threshold claim.", "confidence": 75 } ], "page_number": 118 }, { "tools": [ { "id": 118, "slug": "action-titles", "layer": "Slide", "evidence": "Words recognized at human level milestone.", "confidence": 80 }, { "id": 129, "slug": "chart-selection-guide", "layer": "Slide", "evidence": "Log-scale line for exponential improvement.", "confidence": 75 } ], "page_number": 119 }, { "tools": [ { "id": 118, "slug": "action-titles", "layer": "Slide", "evidence": "+90% accuracy across major platforms.", "confidence": 80 } ], "page_number": 120 }, { "tools": [ { "id": 118, "slug": "action-titles", "layer": "Slide", "evidence": "Voice-assistant adoption rising fast.", "confidence": 78 }, { "id": 86, "slug": "causal-chain", "layer": "Loop", "evidence": "Trend chart + driver chart shows tech improvements drive usage.", "confidence": 65 } ], "page_number": 122 }, { "tools": [ { "id": 169, "slug": "authority-bias", "layer": "Slide", "evidence": "Andrew Ng forecast: 50% of search via images/speech.", "confidence": 75 }, { "id": 155, "slug": "credibility-transfer", "layer": "Slide", "evidence": "Expert quote sells the future-state.", "confidence": 70 } ], "page_number": 126 }, { "tools": [ { "id": 118, "slug": "action-titles", "layer": "Slide", "evidence": "Alexa Skills 950 vs 14 (Y/Y).", "confidence": 80 }, { "id": 165, "slug": "picture-superiority-effect", "layer": "Slide", "evidence": "Product images ground the abstract platform argument.", "confidence": 65 } ], "page_number": 130 }, { "tools": [ { "id": 118, "slug": "action-titles", "layer": "Slide", "evidence": "5% of customers own Echo, ~4MM units sold.", "confidence": 80 } ], "page_number": 132 }, { "tools": [ { "id": 78, "slug": "contrast-pairs", "layer": "Loop", "evidence": "iPhone peaking vs Echo taking off side by side.", "confidence": 80 }, { "id": 130, "slug": "color-strategy", "layer": "Slide", "evidence": "Yellow 2016E bar marks decline visually.", "confidence": 70 } ], "page_number": 134 }, { "tools": [ { "id": 86, "slug": "causal-chain", "layer": "Loop", "evidence": "Mechanical -> simple processors -> computers progression.", "confidence": 70 } ], "page_number": 139 }, { "tools": [ { "id": 118, "slug": "action-titles", "layer": "Slide", "evidence": "'Early innings of L2/L3' is the so-what.", "confidence": 80 }, { "id": 129, "slug": "chart-selection-guide", "layer": "Slide", "evidence": "Tabular L0-L4 maturity ladder.", "confidence": 70 } ], "page_number": 140 }, { "tools": [ { "id": 78, "slug": "contrast-pairs", "layer": "Loop", "evidence": "All-new (Google) vs Assimilation (Tesla) split.", "confidence": 78 } ], "page_number": 142 }, { "tools": [ { "id": 118, "slug": "action-titles", "layer": "Slide", "evidence": "USA 13% vs 76% (1950) production share.", "confidence": 80 } ], "page_number": 145 }, { "tools": [ { "id": 16, "slug": "three-pillars", "layer": "Block", "evidence": "Six ecosystem components listed for USA auto.", "confidence": 60 } ], "page_number": 148 }, { "tools": [ { "id": 118, "slug": "action-titles", "layer": "Slide", "evidence": "Calls for regulatory space for innovation.", "confidence": 78 } ], "page_number": 149 }, { "tools": [ { "id": 85, "slug": "argument-from-analogy", "layer": "Loop", "evidence": "Red Flag Act / Jitneys precedents argue against current resistance.", "confidence": 78 } ], "page_number": 150 }, { "tools": [ { "id": 169, "slug": "authority-bias", "layer": "Slide", "evidence": "Mary Barra (GM) + Mark Fields (Ford) CEO quotes validate disruption.", "confidence": 80 }, { "id": 155, "slug": "credibility-transfer", "layer": "Slide", "evidence": "OEM CEO quotes used as expert testimony.", "confidence": 75 } ], "page_number": 153 }, { "tools": [ { "id": 121, "slug": "metaphor-analogy", "layer": "Slide", "evidence": "Backseat-again analogy for autonomous-car media time.", "confidence": 70 } ], "page_number": 158 }, { "tools": [ { "id": 118, "slug": "action-titles", "layer": "Slide", "evidence": "BAT trio = 71% mobile time.", "confidence": 82 }, { "id": 42, "slug": "pareto-principle-80-20", "layer": "Block", "evidence": "Three players capture 71% of attention.", "confidence": 70 } ], "page_number": 168 }, { "tools": [ { "id": 118, "slug": "action-titles", "layer": "Slide", "evidence": "China online > TV (2015), 42% vs USA 39%.", "confidence": 85 }, { "id": 138, "slug": "annotation", "layer": "Slide", "evidence": "Red circle marks 2015 crossover.", "confidence": 75 } ], "page_number": 170 }, { "tools": [ { "id": 118, "slug": "action-titles", "layer": "Slide", "evidence": "China retailers dominate top rankings vs USA.", "confidence": 80 }, { "id": 130, "slug": "color-strategy", "layer": "Slide", "evidence": "Color marks pure-play e-commerce.", "confidence": 72 } ], "page_number": 171 }, { "tools": [ { "id": 78, "slug": "contrast-pairs", "layer": "Loop", "evidence": "China vs USA share-growth lines side by side.", "confidence": 78 } ], "page_number": 172 }, { "tools": [ { "id": 121, "slug": "metaphor-analogy", "layer": "Slide", "evidence": "Hub-and-spoke diagram of Ant Financial services.", "confidence": 72 }, { "id": 165, "slug": "picture-superiority-effect", "layer": "Slide", "evidence": "Visual hub diagram makes ecosystem tangible.", "confidence": 70 } ], "page_number": 179 }, { "tools": [ { "id": 118, "slug": "action-titles", "layer": "Slide", "evidence": "China ~70% global on-demand share.", "confidence": 82 }, { "id": 129, "slug": "chart-selection-guide", "layer": "Slide", "evidence": "Size-scaled pies show absolute + share growth.", "confidence": 65 } ], "page_number": 181 }, { "tools": [ { "id": 78, "slug": "contrast-pairs", "layer": "Loop", "evidence": "China cities (red) vs ROW (blue) growth lines.", "confidence": 75 } ], "page_number": 182 }, { "tools": [ { "id": 78, "slug": "contrast-pairs", "layer": "Loop", "evidence": "Incumbent vs disruptor performance tables (Viacom vs Netflix etc).", "confidence": 80 }, { "id": 158, "slug": "von-restorff-effect", "layer": "Slide", "evidence": "Red circles highlight critical years.", "confidence": 70 } ], "page_number": 185 }, { "tools": [ { "id": 118, "slug": "action-titles", "layer": "Slide", "evidence": "Current gen growing faster than previous.", "confidence": 80 }, { "id": 133, "slug": "small-multiples", "layer": "Slide", "evidence": "Three time-shifted parallel charts (Marketplaces/Commerce/Enterprise).", "confidence": 80 } ], "page_number": 186 }, { "tools": [ { "id": 130, "slug": "color-strategy", "layer": "Slide", "evidence": "Color-coded valuation; yellow marks private companies.", "confidence": 78 }, { "id": 132, "slug": "visual-hierarchy", "layer": "Slide", "evidence": "Top-20 leaderboard ranks by market value.", "confidence": 65 } ], "page_number": 188 }, { "tools": [ { "id": 118, "slug": "action-titles", "layer": "Slide", "evidence": "Non-tech acquisitions of tech +2.6x since 2012.", "confidence": 85 }, { "id": 138, "slug": "annotation", "layer": "Slide", "evidence": "Growth arrow over bars marks 263% rise.", "confidence": 70 } ], "page_number": 190 }, { "tools": [ { "id": 153, "slug": "core-message-extraction", "layer": "Slide", "evidence": "Distills valuation thesis into rule-of-thumb DCF line.", "confidence": 70 } ], "page_number": 193 }, { "tools": [ { "id": 118, "slug": "action-titles", "layer": "Slide", "evidence": "+50% data CAGR vs -20% cost CAGR.", "confidence": 82 }, { "id": 78, "slug": "contrast-pairs", "layer": "Loop", "evidence": "Volume up vs cost down dual-axis.", "confidence": 78 } ], "page_number": 196 }, { "tools": [ { "id": 86, "slug": "causal-chain", "layer": "Loop", "evidence": "Network -> software -> data progression of leverage.", "confidence": 70 } ], "page_number": 198 }, { "tools": [ { "id": 86, "slug": "causal-chain", "layer": "Loop", "evidence": "Three-wave evolution diagram with arrows.", "confidence": 70 } ], "page_number": 199 }, { "tools": [ { "id": 169, "slug": "authority-bias", "layer": "Slide", "evidence": "Frank Bien (Looker CEO) quote validates thesis.", "confidence": 78 }, { "id": 155, "slug": "credibility-transfer", "layer": "Slide", "evidence": "Industry CEO endorses data-in-workstream claim.", "confidence": 72 } ], "page_number": 200 }, { "tools": [ { "id": 78, "slug": "contrast-pairs", "layer": "Loop", "evidence": "Scattered papers vs unified dashboard before/after.", "confidence": 80 } ], "page_number": 202 }, { "tools": [ { "id": 78, "slug": "contrast-pairs", "layer": "Loop", "evidence": "Then-vs-now CRM UX contrast.", "confidence": 80 }, { "id": 26, "slug": "before-after-bridge", "layer": "Block", "evidence": "Explicit Then vs Now framing.", "confidence": 75 } ], "page_number": 203 }, { "tools": [ { "id": 78, "slug": "contrast-pairs", "layer": "Loop", "evidence": "Static vehicle data vs crowdsourced mobile updates.", "confidence": 80 } ], "page_number": 204 }, { "tools": [ { "id": 78, "slug": "contrast-pairs", "layer": "Loop", "evidence": "Legacy table-heavy UI vs Datadog dashboard.", "confidence": 78 } ], "page_number": 205 }, { "tools": [ { "id": 78, "slug": "contrast-pairs", "layer": "Loop", "evidence": "Perimeter firewall vs SaaS dashboard.", "confidence": 78 } ], "page_number": 206 }, { "tools": [ { "id": 118, "slug": "action-titles", "layer": "Slide", "evidence": "~4B records breached since 2013.", "confidence": 82 }, { "id": 138, "slug": "annotation", "layer": "Slide", "evidence": "Hatched 2014 bar marks CyberVor contribution.", "confidence": 72 } ], "page_number": 209 }, { "tools": [ { "id": 118, "slug": "action-titles", "layer": "Slide", "evidence": "74% have limited online activity due to privacy.", "confidence": 78 }, { "id": 156, "slug": "emotional-appeal", "layer": "Slide", "evidence": "Privacy anxiety framing creates urgency.", "confidence": 60 } ], "page_number": 210 }, { "tools": [ { "id": 169, "slug": "authority-bias", "layer": "Slide", "evidence": "Adam Ghetti quote frames legal philosophy question.", "confidence": 70 }, { "id": 67, "slug": "curiosity-gap", "layer": "Block", "evidence": "Closing rhetorical question leaves audience pondering.", "confidence": 60 } ], "page_number": 213 } ], "slides_seen": 214, "deck_summary": "Strong Storymakers alignment on Slide-layer craft (action titles, color strategy, annotated charts, generational segmentation) but weak on document-level arc - it is a research compendium with mini before/after loops per topic rather than a single tight Consultant's Gambit, with no governing big-idea or synthesized recommendation.", "secondary_arcs": [ { "id": 11, "slug": "triple-take", "beats": [ { "name": "The Facts (What)", "end_page": 37, "evidence": "Heavy chart-driven user/macro data.", "position": 1, "start_page": 6 }, { "name": "The Implications (So What)", "end_page": 41, "evidence": "Synthesis: rising risks, internet at core of response.", "position": 2, "start_page": 38 }, { "name": "The Action (Now What)", "end_page": 213, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "start_page": 42 } ], "evidence": "Each section presents Facts (charts) -> Implications (action-titles) -> Action (case studies / call-to-arms).", "confidence": 60 } ], "images_inspected": 4, "slide_frameworks": [ { "frameworks": [ { "name": "McKinsey Internet Barriers Index (5 groups)", "slug": "market-segmentation-pyramid", "evidence": "Radar chart + 5 group profiles, 'per McKinsey'.", "confidence": 78 } ], "page_number": 15 }, { "frameworks": [ { "name": "Before/after framing", "slug": "before-after-framing", "evidence": "1985 vs 2015 pie comparison of growth engines.", "confidence": 70 } ], "page_number": 23 }, { "frameworks": [ { "name": "NxN matrix (debt-to-GDP scatter)", "slug": "matrix-nxn", "evidence": "Scatter plotting level vs change in debt-to-GDP.", "confidence": 60 } ], "page_number": 33 }, { "frameworks": [ { "name": "Generational segmentation table", "slug": "market-segmentation-pyramid", "evidence": "Silent / Boomer / GenX / Millennial values comparison.", "confidence": 65 } ], "page_number": 52 }, { "frameworks": [ { "name": "Generational comparison (Millennials vs Gen Z)", "slug": "market-segmentation-pyramid", "evidence": "Two-column trait comparison table.", "confidence": 60 } ], "page_number": 75 }, { "frameworks": [ { "name": "NHTSA Automated Driving Levels (L0-L4)", "slug": "maturity-model", "evidence": "L0->L4 maturity ladder with descriptions, examples, dates.", "confidence": 90 } ], "page_number": 140 }, { "frameworks": [ { "name": "Strategic options matrix (All-New vs Assimilation)", "slug": "matrix-nxn", "evidence": "Two-strategy comparison split.", "confidence": 55 } ], "page_number": 142 }, { "frameworks": [ { "name": "Hub-and-spoke (Flywheel-style ecosystem)", "slug": "flywheel", "evidence": "Payment hub with four satellite financial services.", "confidence": 70 } ], "page_number": 179 }, { "frameworks": [ { "name": "Top-N leaderboard (market cap ranking)", "slug": "heatmap-matrix", "evidence": "Color-coded market value table for top 20.", "confidence": 55 } ], "page_number": 188 }, { "frameworks": [ { "name": "Three Horizons / wave evolution", "slug": "three-horizons", "evidence": "Vertical leverage-source progression: networks -> software -> data.", "confidence": 55 } ], "page_number": 198 }, { "frameworks": [ { "name": "Three-wave platform evolution", "slug": "three-horizons", "evidence": "1990s -> 2000s -> 2010s tech-stack waves.", "confidence": 60 } ], "page_number": 199 } ] }, "matchedAt": "2026-05-02 08:39:37.433+00", "slidesSeen": 214, "deckSummary": "Strong Storymakers alignment on Slide-layer craft (action titles, color strategy, annotated charts, generational segmentation) but weak on document-level arc - it is a research compendium with mini before/after loops per topic rather than a single tight Consultant's Gambit, with no governing big-idea or synthesized recommendation.", "imagesInspected": 4, "extractionSeconds": 535.485 }, "score": { "backend": "codex", "scoredAt": "2026-05-02 14:25:05.734+00", "subScores": { "scqa_arc": 55, "action_titles": 83, "mece_structure": 61, "closing_strength": 24, "evidence_quality": 86, "clarity_of_thesis": 50, "production_quality": 72, "visual_storytelling": 78 }, "totalScore": 64, "coveragePct": 100, "explanations": { "scqa_arc": "Many sections set up situation and complication locally, but the full deck reads more like a broad trend compendium than a single Situation-Complication-Question-Answer chain.", "action_titles": "The deck has high action-title density, e.g. slide 7 'Global Internet Users = 3B @ 42% Penetration... +9% vs. +9% Y/Y...+7% (Excluding India)', though covers and some dividers remain topic labels.", "mece_structure": "The major blocks are navigable, but advertising, commerce, social/video/messaging, China, and public/private company data overlap across slides 42-193 without an explicit exhaustive logic.", "closing_strength": "The narrative closes with privacy exhibits and a quote on slides 209-213 followed by disclosure on slide 214, with no explicit recommendation, decision, or next-step ask.", "evidence_quality": "Evidence is strong, with many charted metrics and sourced exhibits such as McKinsey on slides 15-16 and China market data on slides 167-181, though some quote and case slides are illustrative rather than probative.", "clarity_of_thesis": "Slides 1-5 identify the report, agenda, thanks, and first section, but no declarative deck-level thesis appears until slide 6 begins the slowdown story and slides 38/41 synthesize it.", "production_quality": "The KPCB/BondCap system is consistent and action-title-heavy, but very long headlines, dense data pages, and 44 cover/divider/disclaimer pages weaken editorial discipline.", "visual_storytelling": "Most claims use suitable tools - charts on slides 7, 19, and 196, big-number/text slides like 8 and 38, and case screenshots on slides 202-206 - but overcrowded pages dilute some messages." }, "slidesAnalyzed": 214 }, "review": { "backend": null, "verdict": "This is a high-signal research compendium with unusually strong slide-level headlines, but only a middling Storymakers exemplar because it lacks a crisp opening thesis and decisive resolution.", "reviewedAt": "2026-05-01 21:45:47.434+00", "slidesSeen": 214, "suggestions": [ "Add an executive thesis slide in the first three pages that states the answer: growth is slowing in legacy vectors, but new platforms, interfaces, China, and data create the next opportunity set.", "Collapse the structure into 3-4 MECE pillars, for example saturation/headwinds, behavior and interface shifts, geographic platform shifts, and implications for leaders/investors.", "Insert short synthesis slides after major acts, especially after slide 41 and before slide 194, to connect evidence back to the central thesis.", "Replace the final quote-only close with a resolution slide that names the strategic implications of data growth and privacy risk for companies, investors, and regulators.", "Tighten the longest action titles to one claim plus one proof point so the insight survives skimming." ], "closingScore": 42, "openingScore": 38, "topStrengths": [ "Strong local headline discipline: slides 7-13 state metrics and implications directly instead of using noun-only labels.", "The macro tension is explicit by slides 38-41, where slowing growth, high debt, aging populations, and innovation-driven efficiency are tied together.", "Several sections use repeated evidence loops well, especially the data platform sequence in slides 196-206 and the China internet metrics in slides 162-182." ], "topWeaknesses": [ "The opening delays the point: slides 1-5 provide identity and agenda but no thesis, stakes, or executive answer.", "The deck behaves more like a comprehensive annual research compendium than a single SCQA argument, with many adjacent topic jumps across slides 42-160.", "The ending resolves nothing: slides 209-213 raise privacy/security tension but do not convert it into implications, recommendations, or next steps." ], "narrativeScore": 64, "pillarCritique": "The major dividers are broadly plausible pillars, such as Global Internet Trends, Global Macro Trends, Advertising/Commerce, Communication, Interfaces, China, and Data. However, the many nested dividers, including slide 90 \"Image\" and slide 195 \"Data as a Platform,\" often read like topic labels rather than a MECE storyline.", "closingCritique": "The last five non-disclosure slides, 209-213, close on cybercrime, privacy concerns, a rhetorical trust question, and a quote. That is memorable as tension, but it provides no call to action, decision, or next-step synthesis.", "openingCritique": "The first five slides are cover, cover, outline, thanks, and a topic divider, so they do not establish stakes or lead with the answer. The first real hook appears on slide 6, and the broader thesis does not crystallize until slides 38-41.", "extractionSeconds": 78.095, "narrativeCritique": "The deck has a partial setup -> tension -> analysis arc: slides 6-16 show internet/smartphone growth slowing, slides 18-41 broaden that into macro headwinds, and the rest analyzes new growth vectors. It lacks a true resolution act because the final privacy section ends in unresolved debate rather than a synthesized recommendation.", "titleQualityScore": 82, "titleQualityCritique": "Most analytical slides use declarative, metric-bearing action titles, such as slide 8 \"India Internet User Growth Accelerating\" and slide 38 \"Easy Growth Behind Us.\" Quality drops on pure dividers and labels like slide 3 \"Outline\" and slide 90 \"Image,\" and several titles are too overstuffed to land cleanly." }, "activistThesis": null, "pitchdeck": { "metadata": null, "profile": null }, "slides": [ { "page": 1, "type": "setup", "function": "front_matter", "imagePath": "https://imgproxy.kitesheet.com/HOd_ozWR3tuidDl8FDzE3aNCjn0AdOV22HpUQhwq5Cs/rs:fit:1200:1200:0/q:82/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy9kMTA0ZTlkZTlmMWQ1ZGQxL3AwMDEuanBn", "rawType": "cover", "block": null, "metadata": { "slideType": "cover", "slideTypeCanon": { "name": "Cover", "slug": "cover", "status": "active", "canonId": "019de52d-05f2-729d-9f93-e0504f0a2410", "version": 1, "description": null }, "function": "front_matter", "functionCanon": { "name": "Front matter", "slug": "front_matter", "status": "active", "canonId": "019de52d-133d-73f0-9e26-201eda96b098", "version": 1, "description": null }, "density": "sparse", "densityScore": 3, "componentCount": 2, "textChars": 50, "nDataPoints": 0, "notes": null, "elementsJson": [ "headline_text" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:28.951+00", "seconds": 2.195, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/1", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-1", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.1, "w": 0.3, "x": 0.35, "y": 0.65 }, "kind": "paragraph", "text": "Mary Meeker\nJune 1 @ Code 2016", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:28.951+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "5c86040e-be34-4bb9-979e-83ccc9ecd47c", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.5, "x": 0.25, "y": 0.4 }, "kind": "title", "text": "Internet Trends 2016", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:28.951+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "b531dd19-2670-473f-8dbc-f02b181d5e08", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Slide recipe: Cover", "slug": "cover-slide", "status": "active", "bestFor": null, "canonId": "019df269-2a08-767d-9128-e7431e6fe8a3", "version": 1, "bodyDocId": "019df269-29e5-7738-b5fa-6892e5dc8e65", "description": "The first ten seconds. Build it deliberately.", "familyLabel": "slide-recipe", "categoryName": "Slide", "categorySlug": "slide" }, "agent": "designer", "layer": "slide", "agents": [ "designer" ], "matchId": "bb4d6b30-b5c9-478e-8a9d-c5e5fa0dc9d3", "evidence": "title/headline: Internet Trends 2016", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.9, "extraction": { "at": "2026-07-16 22:00:17.295449+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 1, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [], "loops": [], "thumbSrc": "https://imgproxy.kitesheet.com/TdpryvTGvgua-meYNorJXJy4XE8QUS011JEWViObYSQ/rs:fit:480:480:0/q:78/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy9kMTA0ZTlkZTlmMWQ1ZGQxL3AwMDEuanBn", "imagePathAlt": "https://imgproxy.kitesheet.com/8bVbTk56u2U85X2JmOeQCDrx1dIcYt3bGQkOkB1rspI/rs:fit:1200:1200:0/q:82/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy9kMTA0ZTlkZTlmMWQ1ZGQxL3AwMDEucG5n", "thumbSrcAlt": "https://imgproxy.kitesheet.com/Rde5RDInYlNM2HM2nLeZswcVxBXvVsMVh4rEUV1HGKg/rs:fit:480:480:0/q:78/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy9kMTA0ZTlkZTlmMWQ1ZGQxL3AwMDEucG5n" }, { "page": 2, "type": "setup", "function": "front_matter", "rawType": "cover", "block": null, "metadata": { "slideType": "cover", "slideTypeCanon": { "name": "Cover", "slug": "cover", "status": "active", "canonId": "019de52d-05f2-729d-9f93-e0504f0a2410", "version": 1, "description": null }, "function": "front_matter", "functionCanon": { "name": "Front matter", "slug": "front_matter", "status": "active", "canonId": "019de52d-133d-73f0-9e26-201eda96b098", "version": 1, "description": null }, "density": "sparse", "densityScore": 13, "componentCount": 4, "textChars": 120, "nDataPoints": 0, "notes": null, "elementsJson": [ "headline_text", "logo_grid" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:29.181+00", "seconds": 2.358, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/2", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-2", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.15, "w": 0.35, "x": 0.05, "y": 0.75 }, "kind": "image", "text": "KPCB Kleiner Perkins Caufield Byers", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Logo", "slug": "logo", "status": "active", "canonId": "019de52c-fdaf-743d-94c4-d7c6a0e55302", "version": 1, "description": null }, "framework": null }, "subkind": "logo", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:29.181+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "e01bdd25-1807-41c1-b4d4-095ad673e7d3", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.3, "x": 0.05, "y": 0.45 }, "kind": "paragraph", "text": "Mary Meeker\nJune 1, 2016", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:29.181+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "32a3b64b-f6ea-4f27-85c7-8c58b7d49561", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.3, "x": 0.05, "y": 0.6 }, "kind": "paragraph", "text": "kpcb.com/InternetTrends", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:29.181+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "b686ff2d-5cbd-41fe-8e39-24f446fc589a", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.8, "x": 0.05, "y": 0.2 }, "kind": "title", "text": "INTERNET TRENDS 2016 – CODE CONFERENCE", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:29.181+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "031542fc-5528-4afb-a902-ef0ef14d0ff9", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Slide recipe: Cover", "slug": "cover-slide", "status": "active", "bestFor": null, "canonId": "019df269-2a08-767d-9128-e7431e6fe8a3", "version": 1, "bodyDocId": "019df269-29e5-7738-b5fa-6892e5dc8e65", "description": "The first ten seconds. Build it deliberately.", "familyLabel": "slide-recipe", "categoryName": "Slide", "categorySlug": "slide" }, "agent": "designer", "layer": "slide", "agents": [ "designer" ], "matchId": "ffcde230-a4f0-450f-b362-cb148d5f7d42", "evidence": "title/headline: INTERNET TRENDS 2016 – CODE CONFERENCE", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.9, "extraction": { "at": "2026-07-16 22:00:17.378079+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 2, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [], "loops": [], "locked": true }, { "page": 3, "type": "setup", "function": "front_matter", "rawType": "table_of_contents", "block": null, "metadata": { "slideType": "table_of_contents", "slideTypeCanon": { "name": "Table of contents", "slug": "table_of_contents", "status": "active", "canonId": "019de52d-0643-721b-9b85-69676bb85cf8", "version": 1, "description": null }, "function": "front_matter", "functionCanon": { "name": "Front matter", "slug": "front_matter", "status": "active", "canonId": "019de52d-133d-73f0-9e26-201eda96b098", "version": 1, "description": null }, "density": "sparse", "densityScore": 16, "componentCount": 2, "textChars": 366, "nDataPoints": 0, "notes": null, "elementsJson": [ "numbered_list" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:29.555+00", "seconds": 2.703, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/3", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-3", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.65, "w": 0.95, "x": 0.03, "y": 0.18 }, "kind": "list", "text": "1) Global Internet Trends\n2) Global Macro Trends\n3) Advertising / Commerce + Brand Trends\n4) Re-Imagining Communication – Video / Image / Messaging\n5) Re-Imagining Human-Computer Interfaces – Voice / Transportation\n6) China = Internet Leader on Many Metrics (Provided by Hillhouse Capital)\n7) Public / Private Company Data\n8) Data as a Platform / Data Privacy", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Numbered list", "slug": "numbered", "status": "active", "canonId": "019de52c-fcc0-7718-a284-a4250c805df2", "version": 1, "description": null }, "framework": null }, "subkind": "numbered", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:29.555+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "5c3c5fc7-d24a-49f8-a721-a43e4dbf0b7a", "parentComponentId": null }, { "bbox": { "h": 0.12, "w": 0.25, "x": 0.03, "y": 0.03 }, "kind": "title", "text": "Outline", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:29.555+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "ea2834c5-3aa3-4123-9ff2-c33f6a3ddfe8", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "MECE Principle", "slug": "mece-principle", "status": "active", "bestFor": null, "canonId": "019dd956-7c60-71a8-8758-c79d914489c9", "version": 1, "bodyDocId": null, "description": "Mutually Exclusive, Collectively Exhaustive - ensuring complete, non-overlapping structure", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Architect", "layer": "block", "agents": [ "Architect" ], "matchId": "019de7d7-e330-73b7-b96b-12f144c55444", "evidence": "Numbered outline aims at distinct, non-overlapping sections.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 60, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 3, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Three Pillars", "slug": "three-pillars", "status": "active", "bestFor": null, "canonId": "019dd956-81ef-7455-a365-b234d95a6bbb", "version": 1, "bodyDocId": null, "description": "Three major supporting arguments that are MECE and address key concerns", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Architect", "layer": "block", "agents": [ "Architect" ], "matchId": "019de7d7-e310-70a5-b987-f7d876b17811", "evidence": "Outline lists 8 thematic chapters - explicit deck-level structure.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 3, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [], "loops": [], "locked": true }, { "page": 4, "type": "appendix", "function": "other", "rawType": "appendix", "block": null, "metadata": { "slideType": "appendix", "slideTypeCanon": { "name": "Appendix", "slug": "appendix", "status": "active", "canonId": "019de52d-0762-71f8-b564-89ab863301cc", "version": 1, "description": null }, "function": "other", "functionCanon": { "name": "Other (fallback)", "slug": "other", "status": "active", "canonId": "019de52d-15e1-75bc-99dc-07732380e2ce", "version": 1, "description": null }, "density": "balanced", "densityScore": 40, "componentCount": 5, "textChars": 597, "nDataPoints": 0, "notes": null, "elementsJson": [ "paragraph" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:29.542+00", "seconds": 2.659, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/4", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-4", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.06, "w": 0.9, "x": 0.04, "y": 0.81 }, "kind": "list", "text": "Kara & Walt: For continuing to do what you do so well...", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:29.542+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "1b7300f2-fa0c-438d-a760-177edb64edd6", "parentComponentId": null }, { "bbox": { "h": 0.18, "w": 0.9, "x": 0.04, "y": 0.36 }, "kind": "list", "text": "Hillhouse Capital: Especially Liang Wu...his / their contribution of the China section of Internet Trends provides an especially thoughtful overview of the largest market of Internet users in the world...", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:29.542+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "3de3bd16-f9fe-452e-b46d-de69520f32c4", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.9, "x": 0.04, "y": 0.16 }, "kind": "list", "text": "KPCB Partners: Especially Alex Tran / Dino Becirovic / Alexander Krey / Cindy Cheng who helped develop the ideas / presentation we hope you find useful...", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:29.542+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "43c6fd43-b10f-4a3c-8eb2-fa722f2ffc3a", "parentComponentId": null }, { "bbox": { "h": 0.12, "w": 0.9, "x": 0.04, "y": 0.61 }, "kind": "list", "text": "Participants in Evolution of Internet Connectivity: From creators to consumers who keep us on our toes 24x7...and the people who directly help us prepare this presentation...", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:29.542+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "fd938ea9-3557-4431-a3d2-60671abfcb93", "parentComponentId": null }, { "bbox": { "h": 0.06, "w": 0.15, "x": 0.04, "y": 0.04 }, "kind": "title", "text": "Thanks...", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:29.542+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "e6201e1f-5775-49ea-b2e2-81312f9c0472", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [], "loops": [], "locked": true }, { "page": 5, "type": "setup", "function": "front_matter", "rawType": "cover", "block": null, "metadata": { "slideType": "cover", "slideTypeCanon": { "name": "Cover", "slug": "cover", "status": "active", "canonId": "019de52d-05f2-729d-9f93-e0504f0a2410", "version": 1, "description": null }, "function": "front_matter", "functionCanon": { "name": "Front matter", "slug": "front_matter", "status": "active", "canonId": "019de52d-133d-73f0-9e26-201eda96b098", "version": 1, "description": null }, "density": "sparse", "densityScore": 6, "componentCount": 3, "textChars": 35, "nDataPoints": 0, "notes": null, "elementsJson": [ "headline_text" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:29.912+00", "seconds": 2.893, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/5", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-5", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.02, "w": 0.05, "x": 0.033, "y": 0.95 }, "kind": "paragraph", "text": "@KPCB", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:29.912+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "2bcda78a-af3e-4ef8-bdb8-d8367545e631", "parentComponentId": null }, { "bbox": { "h": 0.02, "w": 0.06, "x": 0.916, "y": 0.95 }, "kind": "paragraph", "text": "KPCB.COM", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:29.912+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "e6f3c3bc-b683-4f68-90c9-8285848bef11", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.65, "x": 0.033, "y": 0.306 }, "kind": "title", "text": "GLOBAL INTERNET TRENDS", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:29.912+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "7848f950-1163-4242-8380-d7fc686f8c6a", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 37, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 5, "name": "Situation & Context", "beatId": "019de7d7-df7b-76b3-8c4c-98c32793875a", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Global internet + macro trends establish baseline state.", "position": 1, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 } ], "loops": [], "locked": true }, { "page": 6, "type": "resolution", "function": "summarize", "rawType": "key_takeaways", "block": null, "metadata": { "slideType": "key_takeaways", "slideTypeCanon": { "name": "Key takeaways", "slug": "key_takeaways", "status": "active", "canonId": "019de52d-06e7-7674-a891-9f7de3b11b6d", "version": 1, "description": null }, "function": "summarize", "functionCanon": { "name": "Summarize", "slug": "summarize", "status": "active", "canonId": "019de52d-1541-704f-b86f-bf7b75056373", "version": 1, "description": null }, "density": "balanced", "densityScore": 40, "componentCount": 5, "textChars": 476, "nDataPoints": 3, "notes": null, "elementsJson": [ "headline_text", "paragraph", "footnote" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:29.644+00", "seconds": 2.063, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/6", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-6", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "Growth Flat = +9% vs. +9% Y/Y... +7% Y/Y (Excluding India)", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:16:58+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f22-0f753b499d1b", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Y/Y growth: 9%", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:16:58+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f22-136d0f7bface", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.68, "x": 0.16, "y": 0.45 }, "kind": "paragraph", "text": "Growth Flat = +9% vs. +9% Y/Y... +7% Y/Y (Excluding India)", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:29.644+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "3273a8be-ca99-470c-83a1-89f73192293b", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.6, "x": 0.105, "y": 0.945 }, "kind": "source-note", "text": "Source: United Nations / International Telecommunications Union, US Census Bureau. Internet user data is as of mid-year. Internet user data for: China from CNNIC, Iran from Islamic Republic News Agency, citing data released by the National Internet Development Center, India from IAMAI, Indonesia from APJII / eMarketer.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:29.644+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "7ef2c0a0-9ffb-438d-82b9-4fbbe12dc28c", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.68, "x": 0.16, "y": 0.25 }, "kind": "title", "text": "Global Internet Users @ 3B", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:29.644+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "93868fe5-5099-4a1c-a654-58037213ab9c", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "3-Second Rule", "slug": "3-second-rule", "status": "active", "bestFor": null, "canonId": "019dd956-b08d-7453-be6f-4cde5308ed61", "version": 1, "bodyDocId": null, "description": "Audience should grasp the main point within 3 seconds of seeing the slide", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "019de7d7-e3b1-715d-8851-c28af10525ac", "evidence": "Sparse, single metric for instant grasp.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 6, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-e393-7324-943d-6c5204c6a9b4", "evidence": "Headline states insight 'Global Internet Users @ 3B' + growth flat.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 90, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 6, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." }, { "tool": { "name": "Core Message Extraction", "slug": "core-message-extraction", "status": "active", "bestFor": "Any slide that carries an argument or finding. The diagnostic: if the slide has a chart on it, it needs a core message. Run extraction whenever the current title is a topic (Q3 performance, Customer satisfaction) rather than a claim, or when a reader could reasonably draw more than one conclusion from the visible evidence.", "canonId": "019dd956-bc71-707d-8867-1b2e810175cf", "version": 1, "bodyDocId": "f85613cb-4b77-462f-bfe6-3b862516e1a6", "description": "The discipline of distilling raw analysis, data, or content into a single declarative sentence — the slide's core message — that the audience would walk away with if they remembered nothing else. Process, not artefact: extraction questions run on the raw content until one sentence falls out.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-e3d1-746a-8fcc-f2f9cb38df8b", "evidence": "Distills entire trend into one number + delta.", "pageRefs": null, "priority": null, "whenToUse": "Any slide that carries an argument or finding. The diagnostic: if the slide has a chart on it, it needs a core message. Run extraction whenever the current title is a topic (Q3 performance, Customer satisfaction) rather than a claim, or when a reader could reasonably draw more than one conclusion from the visible evidence.", "confidence": 70, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 6, "whyItWorks": "Solves the two failure modes of slide writing simultaneously: the topic title (which outsources interpretation to the audience and produces three different conclusions in three different heads) and the multi-thesis stapler (which exceeds working memory and gets remembered as fragments). Aligns with how readers actually consume decks — Heath & Heath's Find the Core, the journalist's nut graf, and Minto's governing thought all converge on the same cognitive economics.", "antipattern": "Topic titles disguised as core messages (Customer satisfaction, no verb, no stake); multi-thesis sentences stapled with and; hedged sentences (may show signs of possible softening); chart-caption titles (Revenue fell 4%) that restate what the chart already shows instead of naming the so-what; meta-commentary (this slide explores...) that describes the slide rather than concluding it.", "cardinality": null, "narrativePurpose": "Forces the slide author to do the interpretive work before the slide ships, so the audience does not have to do it during the meeting. Wins the WYSIATI battle on purpose — the loudest fragment on the page becomes the author's chosen sentence rather than whichever chart label happens to be largest." } ], "frameworks": [], "arcBeats": [ { "to": 37, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 5, "name": "Situation & Context", "beatId": "019de7d7-df7b-76b3-8c4c-98c32793875a", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Global internet + macro trends establish baseline state.", "position": 1, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 37, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 6, "name": "The Facts (What)", "beatId": "019de7d7-e03c-735a-b728-fc03ed76149b", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Heavy chart-driven user/macro data.", "position": 1, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 16, "from": 6, "loop": { "name": "41_so_what_cascade", "slug": "41-so-what-cascade", "status": "active", "bestFor": "Data presentations, executive summaries, driving to recommendations", "canonId": "019dd956-769f-7208-afbc-f28985c6f4fb", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Data -> So What? (Insight 1) -> So What? (Insight 2) -> So What? (The Action)", "description": "Chain insights together, each answering 'so what?' until you reach the actionable conclusion", "familyLabel": null }, "matchId": "019de7d7-e0e3-75c7-88bb-5cec6033bd95", "evidence": "Data slides (6,7,9,11,12,13) each carry an action-title insight; pp 14-16 cascade to 'new users harder to garner'.", "position": 1, "objective": "Cascade global-internet user data into the insight that growth is saturating except in emerging markets", "confidence": 75, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 7, "type": "analysis", "title": "The chart uses a combination of bar (users) and line (growth rate) to visualize trends.", "function": "analyze_data", "rawType": "industry_trends", "block": null, "metadata": { "slideType": "industry_trends", "slideTypeCanon": { "name": "Industry trends", "slug": "industry_trends", "status": "active", "canonId": "019de52d-0b1d-7705-a0e0-c663199cd1fa", "version": 1, "description": null }, "function": "analyze_data", "functionCanon": { "name": "Analyze data", "slug": "analyze_data", "status": "active", "canonId": "019de52d-1590-7413-8c82-cc218cff40b4", "version": 1, "description": null }, "density": "dense", "densityScore": 62, "componentCount": 7, "textChars": 543, "nDataPoints": 15, "notes": "The chart uses a combination of bar (users) and line (growth rate) to visualize trends.", "elementsJson": [ "headline_text", "bar_chart_vertical", "line_chart", "footnote" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:30.858+00", "seconds": 3.01, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/7", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-7", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.6, "w": 0.7, "x": 0.15, "y": 0.25 }, "kind": "chart", "text": "Global Internet Users (MM)", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Vertical bar chart", "slug": "bar-vertical", "status": "active", "canonId": "019de52c-fe9d-70f2-b3b7-a9ae294f5917", "version": 1, "description": null }, "framework": null }, "subkind": "bar-vertical", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:30.858+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "932388e2-5051-4697-976f-3efbf7d9d44f", "parentComponentId": null }, { "bbox": { "h": 0.6, "w": 0.7, "x": 0.15, "y": 0.25 }, "kind": "chart", "text": "Y/Y Growth (%)", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Line chart", "slug": "line", "status": "active", "canonId": "019de52c-ff62-778f-8f6c-a952ceae8677", "version": 1, "description": null }, "framework": null }, "subkind": "line", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:30.858+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "3c192eda-929a-420b-a963-fad498598077", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.6, "x": 0.1, "y": 0.94 }, "kind": "disclaimer", "text": "Source: United Nations / International Telecommunications Union, US Census Bureau. Internet user data is as of mid-year. Internet user data for: China from CNNIC, Iran from Islamic Republic News Agency, citing data released by the National Internet Development Center, India from IAMAI, Indonesia from APJII / eMarketer.", "attrs": null, "canon": { "kind": { "name": "Disclaimer", "slug": "disclaimer", "status": "active", "canonId": "91173477-d91f-4024-bbaf-d4f93e3f82dc", "version": 1, "description": "Legal/cautionary text that occupies most of the body of its slide." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:30.858+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "b19120bc-164d-4612-a819-17a8398f6eb5", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.6, "x": 0.2, "y": 0.85 }, "kind": "legend", "text": "Global Internet Users; Y/Y Growth (%)", "attrs": null, "canon": { "kind": { "name": "Legend", "slug": "legend", "status": "active", "canonId": "31361933-3d22-4c70-bbad-0801e9fffc0c", "version": 1, "description": "Color/symbol decoder placed adjacent to a chart or diagram." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:30.858+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "b12e20d7-cfce-4780-b0d1-aad32518175e", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Global Internet Users: 3B", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:16:58+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f21-f2b1f9b73e54", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.5, "x": 0.25, "y": 0.215 }, "kind": "title", "text": "Global Internet Users, 2008 – 2015", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:30.858+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "2070b35a-8c41-4bb0-9d42-1479d5f63a51", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.7, "x": 0.02, "y": 0.02 }, "kind": "title", "text": "Global Internet Users = 3B @ 42% Penetration... +9% vs. +9% Y/Y...+7% (Excluding India)", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:30.858+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "858697b7-f77e-4d26-a196-62147f165451", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Inductive Reasoning", "slug": "inductive-reasoning", "status": "active", "bestFor": null, "canonId": "019dd956-99c6-705e-94cc-76a504c3da37", "version": 1, "bodyDocId": null, "description": "Grouping similar evidence to form a conclusion (Evidence → Pattern → Conclusion)", "familyLabel": null, "categoryName": "Loop", "categorySlug": "loop" }, "agent": "Architect", "layer": "loop", "agents": [ "Architect" ], "matchId": "019de7d7-e450-719e-9c00-365a14ba1b29", "evidence": "Loop start: data point feeding cascade conclusion.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 72, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 7, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-e3f0-77b9-9452-27cadd2d438f", "evidence": "Title carries headline insight, not topic.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 88, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 7, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." }, { "tool": { "name": "Annotation", "slug": "annotation", "status": "active", "bestFor": null, "canonId": "019dd956-b5b9-7668-bf0e-3af99823ec5c", "version": 1, "bodyDocId": null, "description": "Adding explanatory labels to highlight key data points", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "019de7d7-e431-7426-a38d-e64f39126d0d", "evidence": "Callout 'Excluding India' contextualizes data.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 7, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Chart Selection Guide", "slug": "chart-selection-guide", "status": "active", "bestFor": null, "canonId": "019dd956-b1a0-700b-ba17-0e16c4d5bcae", "version": 1, "bodyDocId": null, "description": "Choosing the right chart type for your data and message", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "019de7d7-e410-72af-9fa3-9f0f29a1fd1c", "evidence": "Bar+line dual-axis correlates volume with growth rate.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 7, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 37, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 5, "name": "Situation & Context", "beatId": "019de7d7-df7b-76b3-8c4c-98c32793875a", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Global internet + macro trends establish baseline state.", "position": 1, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 37, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 6, "name": "The Facts (What)", "beatId": "019de7d7-e03c-735a-b728-fc03ed76149b", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Heavy chart-driven user/macro data.", "position": 1, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 16, "from": 6, "loop": { "name": "41_so_what_cascade", "slug": "41-so-what-cascade", "status": "active", "bestFor": "Data presentations, executive summaries, driving to recommendations", "canonId": "019dd956-769f-7208-afbc-f28985c6f4fb", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Data -> So What? (Insight 1) -> So What? (Insight 2) -> So What? (The Action)", "description": "Chain insights together, each answering 'so what?' until you reach the actionable conclusion", "familyLabel": null }, "matchId": "019de7d7-e0e3-75c7-88bb-5cec6033bd95", "evidence": "Data slides (6,7,9,11,12,13) each carry an action-title insight; pp 14-16 cascade to 'new users harder to garner'.", "position": 1, "objective": "Cascade global-internet user data into the insight that growth is saturating except in emerging markets", "confidence": 75, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 8, "type": "resolution", "function": "summarize", "rawType": "key_takeaways", "block": null, "metadata": { "slideType": "key_takeaways", "slideTypeCanon": { "name": "Key takeaways", "slug": "key_takeaways", "status": "active", "canonId": "019de52d-06e7-7674-a891-9f7de3b11b6d", "version": 1, "description": null }, "function": "summarize", "functionCanon": { "name": "Summarize", "slug": "summarize", "status": "active", "canonId": "019de52d-1541-704f-b86f-bf7b75056373", "version": 1, "description": null }, "density": "balanced", "densityScore": 36, "componentCount": 4, "textChars": 535, "nDataPoints": 4, "notes": null, "elementsJson": [ "headline_text" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:32.058+00", "seconds": 3.985, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/8", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-8", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "India Passed USA to Become #2 Global User Market Behind China", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:01+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f23-9d14581538e0", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Internet user growth: 40%", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:01+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f23-a0ff46676c38", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.6, "x": 0.1, "y": 0.94 }, "kind": "source-note", "text": "Source: United Nations / International Telecommunications Union, US Census Bureau. Internet user data is as of mid-year. Internet user data for: China from CNNIC, India from IAMAI. India users as of 10/2015 was 317MM per IAMAI; USA total population at 12/2015 (inclusive of all ages) was 323MM per US Census.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:32.058+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "d961b6fb-f135-4f11-b053-21e7361b0e9d", "parentComponentId": null }, { "bbox": { "h": 0.6, "w": 0.7, "x": 0.15, "y": 0.2 }, "kind": "title", "text": "India Internet User Growth Accelerating = +40% vs. +33% Y/Y... @ 277MM Users... India Passed USA to Become #2 Global User Market Behind China", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Action title", "slug": "action-title", "status": "active", "canonId": "019de52c-fb31-734c-a0f5-a3935b73135d", "version": 1, "description": null }, "framework": null }, "subkind": "action-title", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:32.058+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "71a8f260-cbde-4e8d-aefc-2794db7570e9", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-e470-704c-acd3-72d711f178a2", "evidence": "'India Passed USA to Become #2' is the so-what.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 90, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 8, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." }, { "tool": { "name": "Von Restorff Effect", "slug": "von-restorff-effect", "status": "active", "bestFor": null, "canonId": "019dd956-beab-73d8-9f62-30d0332e926e", "version": 1, "bodyDocId": null, "description": "Items that stand out are noticed and remembered - make key points visually distinct", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "019de7d7-e4dc-7185-9f39-e31cd7768205", "evidence": "Single high-impact callout stands out among text.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 65, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 8, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 37, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 5, "name": "Situation & Context", "beatId": "019de7d7-df7b-76b3-8c4c-98c32793875a", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Global internet + macro trends establish baseline state.", "position": 1, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 37, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 6, "name": "The Facts (What)", "beatId": "019de7d7-e03c-735a-b728-fc03ed76149b", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Heavy chart-driven user/macro data.", "position": 1, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 16, "from": 6, "loop": { "name": "41_so_what_cascade", "slug": "41-so-what-cascade", "status": "active", "bestFor": "Data presentations, executive summaries, driving to recommendations", "canonId": "019dd956-769f-7208-afbc-f28985c6f4fb", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Data -> So What? (Insight 1) -> So What? (Insight 2) -> So What? (The Action)", "description": "Chain insights together, each answering 'so what?' until you reach the actionable conclusion", "familyLabel": null }, "matchId": "019de7d7-e0e3-75c7-88bb-5cec6033bd95", "evidence": "Data slides (6,7,9,11,12,13) each carry an action-title insight; pp 14-16 cascade to 'new users harder to garner'.", "position": 1, "objective": "Cascade global-internet user data into the insight that growth is saturating except in emerging markets", "confidence": 75, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 9, "type": "analysis", "title": "The chart uses a combination of bar (users) and line (growth rate) to visualize the trend.", "function": "analyze_data", "rawType": "industry_trends", "block": null, "metadata": { "slideType": "industry_trends", "slideTypeCanon": { "name": "Industry trends", "slug": "industry_trends", "status": "active", "canonId": "019de52d-0b1d-7705-a0e0-c663199cd1fa", "version": 1, "description": null }, "function": "analyze_data", "functionCanon": { "name": "Analyze data", "slug": "analyze_data", "status": "active", "canonId": "019de52d-1590-7413-8c82-cc218cff40b4", "version": 1, "description": null }, "density": "balanced", "densityScore": 38, "componentCount": 6, "textChars": 192, "nDataPoints": 15, "notes": "The chart uses a combination of bar (users) and line (growth rate) to visualize the trend.", "elementsJson": [ "headline_text", "bar_chart_vertical", "line_chart", "footnote" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:30.956+00", "seconds": 2.63, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/9", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-9", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.5, "w": 0.7, "x": 0.15, "y": 0.3 }, "kind": "chart", "text": "India Internet Users", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Vertical bar chart", "slug": "bar-vertical", "status": "active", "canonId": "019de52c-fe9d-70f2-b3b7-a9ae294f5917", "version": 1, "description": null }, "framework": null }, "subkind": "bar-vertical", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:30.956+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "36648d7e-fc9a-45d0-a7b7-bb26ce9de6d8", "parentComponentId": null }, { "bbox": { "h": 0.5, "w": 0.7, "x": 0.15, "y": 0.3 }, "kind": "chart", "text": "Y/Y Growth (%)", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Line chart", "slug": "line", "status": "active", "canonId": "019de52c-ff62-778f-8f6c-a952ceae8677", "version": 1, "description": null }, "framework": null }, "subkind": "line", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:30.956+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "03e0e529-d2c9-41c6-8b9b-5b79805c005a", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Internet Users: 277MM", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:16:58+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f21-828bf4b69191", "parentComponentId": null }, { "bbox": { "h": 0.02, "w": 0.2, "x": 0.1, "y": 0.95 }, "kind": "source-note", "text": "Source: IAMAI. Uses mid-year figures.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:30.956+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "268c0166-cadb-486f-8c64-7d7836053db3", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.4, "x": 0.3, "y": 0.22 }, "kind": "title", "text": "India Internet Users, 2008 – 2015", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:30.956+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "0c1443e2-9918-49cb-be16-ce6236133cbb", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.8, "x": 0.05, "y": 0.05 }, "kind": "title", "text": "India Internet Users = 277MM @ 22% Penetration... +40% vs. +33% Y/Y", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:30.956+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "d9d70f3c-bf99-46af-bc5f-f782654d4e8f", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 37, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 5, "name": "Situation & Context", "beatId": "019de7d7-df7b-76b3-8c4c-98c32793875a", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Global internet + macro trends establish baseline state.", "position": 1, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 37, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 6, "name": "The Facts (What)", "beatId": "019de7d7-e03c-735a-b728-fc03ed76149b", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Heavy chart-driven user/macro data.", "position": 1, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 16, "from": 6, "loop": { "name": "41_so_what_cascade", "slug": "41-so-what-cascade", "status": "active", "bestFor": "Data presentations, executive summaries, driving to recommendations", "canonId": "019dd956-769f-7208-afbc-f28985c6f4fb", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Data -> So What? (Insight 1) -> So What? (Insight 2) -> So What? (The Action)", "description": "Chain insights together, each answering 'so what?' until you reach the actionable conclusion", "familyLabel": null }, "matchId": "019de7d7-e0e3-75c7-88bb-5cec6033bd95", "evidence": "Data slides (6,7,9,11,12,13) each carry an action-title insight; pp 14-16 cascade to 'new users harder to garner'.", "position": 1, "objective": "Cascade global-internet user data into the insight that growth is saturating except in emerging markets", "confidence": 75, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 10, "type": "resolution", "title": "Part of the KPCB Internet Trends 2016 deck.", "function": "summarize", "rawType": "key_takeaways", "block": null, "metadata": { "slideType": "key_takeaways", "slideTypeCanon": { "name": "Key takeaways", "slug": "key_takeaways", "status": "active", "canonId": "019de52d-06e7-7674-a891-9f7de3b11b6d", "version": 1, "description": null }, "function": "summarize", "functionCanon": { "name": "Summarize", "slug": "summarize", "status": "active", "canonId": "019de52d-1541-704f-b86f-bf7b75056373", "version": 1, "description": null }, "density": "sparse", "densityScore": 24, "componentCount": 4, "textChars": 258, "nDataPoints": 4, "notes": "Part of the KPCB Internet Trends 2016 deck.", "elementsJson": [ "headline_text" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:30.792+00", "seconds": 2.157, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/10", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-10", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": null, "kind": "metric", "text": "Y/Y growth rate: +10%", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:16:58+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f21-d6135e89c6ab", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.6, "x": 0.2, "y": 0.2 }, "kind": "paragraph", "text": "Global Smartphone Users Slowing = +21% vs. +31% Y/Y", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:30.792+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "7ac9e82b-d688-4fc4-bdf7-87c34e4a0ce8", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.6, "x": 0.2, "y": 0.55 }, "kind": "paragraph", "text": "Global Smartphone Unit Shipments Slowing Dramatically = +10% vs. +28% Y/Y", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:30.792+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "97e4eeee-4cd6-4643-b1b7-97a4c6c11cf1", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.3, "x": 0.1, "y": 0.94 }, "kind": "source-note", "text": "Source: Nakano Research (2/16), Morgan Stanley Research (5/16). 'Smartphone Users' represented by installed base.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:30.792+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "e970a8a8-c465-4863-bdce-73766f9a0fc2", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 37, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 5, "name": "Situation & Context", "beatId": "019de7d7-df7b-76b3-8c4c-98c32793875a", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Global internet + macro trends establish baseline state.", "position": 1, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 37, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 6, "name": "The Facts (What)", "beatId": "019de7d7-e03c-735a-b728-fc03ed76149b", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Heavy chart-driven user/macro data.", "position": 1, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 16, "from": 6, "loop": { "name": "41_so_what_cascade", "slug": "41-so-what-cascade", "status": "active", "bestFor": "Data presentations, executive summaries, driving to recommendations", "canonId": "019dd956-769f-7208-afbc-f28985c6f4fb", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Data -> So What? (Insight 1) -> So What? (Insight 2) -> So What? (The Action)", "description": "Chain insights together, each answering 'so what?' until you reach the actionable conclusion", "familyLabel": null }, "matchId": "019de7d7-e0e3-75c7-88bb-5cec6033bd95", "evidence": "Data slides (6,7,9,11,12,13) each carry an action-title insight; pp 14-16 cascade to 'new users harder to garner'.", "position": 1, "objective": "Cascade global-internet user data into the insight that growth is saturating except in emerging markets", "confidence": 75, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 11, "type": "analysis", "title": "The chart illustrates the saturation and growth trends in the global smartphone market over a decade.", "function": "analyze_data", "rawType": "industry_trends", "block": null, "metadata": { "slideType": "industry_trends", "slideTypeCanon": { "name": "Industry trends", "slug": "industry_trends", "status": "active", "canonId": "019de52d-0b1d-7705-a0e0-c663199cd1fa", "version": 1, "description": null }, "function": "analyze_data", "functionCanon": { "name": "Analyze data", "slug": "analyze_data", "status": "active", "canonId": "019de52d-1590-7413-8c82-cc218cff40b4", "version": 1, "description": null }, "density": "dense", "densityScore": 59, "componentCount": 8, "textChars": 360, "nDataPoints": 4, "notes": "The chart illustrates the saturation and growth trends in the global smartphone market over a decade.", "elementsJson": [ "headline_text", "area_chart", "callout_box" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:31.465+00", "seconds": 2.769, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/11", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-11", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.08, "w": 0.15, "x": 0.78, "y": 0.26 }, "kind": "callout", "text": "2015: Asia-Pacific = 52%", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": null, "subkind": { "name": "Primary callout", "slug": "primary", "status": "active", "canonId": "019de52c-fbd1-70eb-a9ce-8997f8674c1d", "version": 1, "description": null }, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:31.465+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "0de9f38f-f841-447a-9f51-769f55f34ffc", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.15, "x": 0.25, "y": 0.59 }, "kind": "callout", "text": "2008: Asia-Pacific = 34%", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": null, "subkind": { "name": "Primary callout", "slug": "primary", "status": "active", "canonId": "019de52c-fbd1-70eb-a9ce-8997f8674c1d", "version": 1, "description": null }, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:31.465+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "6c5cc61f-046e-46f9-998e-2f242198f226", "parentComponentId": null }, { "bbox": { "h": 0.6, "w": 0.9, "x": 0.05, "y": 0.25 }, "kind": "chart", "text": null, "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Stacked area chart", "slug": "area-stacked", "status": "active", "canonId": "019de52c-ffb1-75fa-a614-76782f418cf1", "version": 1, "description": null }, "framework": null }, "subkind": "area-stacked", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:31.465+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "1923d732-b8cb-4f1d-824d-2e0df78b2322", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.3, "x": 0.02, "y": 0.95 }, "kind": "disclaimer", "text": "Source: Nakono Research (2/16). * 'Smartphone Users' represented by installed base.", "attrs": null, "canon": { "kind": { "name": "Disclaimer", "slug": "disclaimer", "status": "active", "canonId": "91173477-d91f-4024-bbaf-d4f93e3f82dc", "version": 1, "description": "Legal/cautionary text that occupies most of the body of its slide." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:31.465+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "17979832-8a33-4ff6-9697-b519beb8021d", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.8, "x": 0.1, "y": 0.85 }, "kind": "legend", "text": "North America, Western Europe, Eastern Europe, Asia-Pacific, Latin America, MEA", "attrs": null, "canon": { "kind": { "name": "Legend", "slug": "legend", "status": "active", "canonId": "31361933-3d22-4c70-bbad-0801e9fffc0c", "version": 1, "description": "Color/symbol decoder placed adjacent to a chart or diagram." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:31.465+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "485dc34c-2857-43fd-a008-479bb926f384", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Smartphone Users: 2.5bn", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:16:59+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f22-46f72d822af7", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.6, "x": 0.2, "y": 0.18 }, "kind": "title", "text": "Smartphone Users, Global, 2005 – 2015", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:31.465+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "2befc5c5-2703-4b2f-959a-a93e4790ca45", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.96, "x": 0.02, "y": 0.02 }, "kind": "title", "text": "Global Smartphone User Growth Slowing... Largest Market (Asia-Pacific) = +23% vs. +35% Y/Y", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:31.465+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "4803cd0e-ea8a-486d-b584-1ddc01573b44", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 37, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 5, "name": "Situation & Context", "beatId": "019de7d7-df7b-76b3-8c4c-98c32793875a", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Global internet + macro trends establish baseline state.", "position": 1, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 37, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 6, "name": "The Facts (What)", "beatId": "019de7d7-e03c-735a-b728-fc03ed76149b", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Heavy chart-driven user/macro data.", "position": 1, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 16, "from": 6, "loop": { "name": "41_so_what_cascade", "slug": "41-so-what-cascade", "status": "active", "bestFor": "Data presentations, executive summaries, driving to recommendations", "canonId": "019dd956-769f-7208-afbc-f28985c6f4fb", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Data -> So What? (Insight 1) -> So What? (Insight 2) -> So What? (The Action)", "description": "Chain insights together, each answering 'so what?' until you reach the actionable conclusion", "familyLabel": null }, "matchId": "019de7d7-e0e3-75c7-88bb-5cec6033bd95", "evidence": "Data slides (6,7,9,11,12,13) each carry an action-title insight; pp 14-16 cascade to 'new users harder to garner'.", "position": 1, "objective": "Cascade global-internet user data into the insight that growth is saturating except in emerging markets", "confidence": 75, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 12, "type": "analysis", "title": "The chart uses a combination of a stacked bar chart for volume and a line chart for growth rate.", "function": "summarize", "rawType": "industry_trends", "block": null, "metadata": { "slideType": "industry_trends", "slideTypeCanon": { "name": "Industry trends", "slug": "industry_trends", "status": "active", "canonId": "019de52d-0b1d-7705-a0e0-c663199cd1fa", "version": 1, "description": null }, "function": "summarize", "functionCanon": { "name": "Summarize", "slug": "summarize", "status": "active", "canonId": "019de52d-1541-704f-b86f-bf7b75056373", "version": 1, "description": null }, "density": "balanced", "densityScore": 41, "componentCount": 6, "textChars": 246, "nDataPoints": 27, "notes": "The chart uses a combination of a stacked bar chart for volume and a line chart for growth rate.", "elementsJson": [ "headline_text", "bar_chart_stacked", "line_chart" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:31.43+00", "seconds": 2.729, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/12", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-12", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.65, "w": 0.8, "x": 0.1, "y": 0.2 }, "kind": "chart", "text": "Smartphone Unit Shipments by Operating System, Global, 2007 – 2015", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Stacked bar chart", "slug": "bar-stacked", "status": "active", "canonId": "019de52c-feec-74bf-9028-15b74f84f0a7", "version": 1, "description": null }, "framework": null }, "subkind": "bar-stacked", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:31.43+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "beb2ba06-e173-46c3-8c86-d76a120452f0", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.5, "x": 0.25, "y": 0.83 }, "kind": "legend", "text": "Android, iOS, Other, Y/Y Growth", "attrs": null, "canon": { "kind": { "name": "Legend", "slug": "legend", "status": "active", "canonId": "31361933-3d22-4c70-bbad-0801e9fffc0c", "version": 1, "description": "Color/symbol decoder placed adjacent to a chart or diagram." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:31.43+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "fd878cda-d412-4c1c-834b-e26cf5c398b3", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Y/Y Growth: +10%", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:16:57+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f21-6b37d95e8845", "parentComponentId": null }, { "bbox": { "h": 0.02, "w": 0.2, "x": 0.1, "y": 0.94 }, "kind": "source-note", "text": "Source: Morgan Stanley Research, 5/16.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:31.43+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "ed64c9a0-a9ec-4bb5-8830-51fe95de412d", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.7, "x": 0.02, "y": 0.06 }, "kind": "title", "text": "After 5 Years of High Growth @ +10% vs. +28% Y/Y", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Action title", "slug": "action-title", "status": "active", "canonId": "019de52c-fb31-734c-a0f5-a3935b73135d", "version": 1, "description": null }, "framework": null }, "subkind": "action-title", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:31.43+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "036a05da-7972-4d54-aa23-99ecaae741c4", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.6, "x": 0.02, "y": 0.02 }, "kind": "title", "text": "Global Smartphone Units Slowing Dramatically...", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:31.43+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "b5142797-e203-4a1b-ba56-701cc8df81d9", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 37, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 5, "name": "Situation & Context", "beatId": "019de7d7-df7b-76b3-8c4c-98c32793875a", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Global internet + macro trends establish baseline state.", "position": 1, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 37, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 6, "name": "The Facts (What)", "beatId": "019de7d7-e03c-735a-b728-fc03ed76149b", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Heavy chart-driven user/macro data.", "position": 1, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 16, "from": 6, "loop": { "name": "41_so_what_cascade", "slug": "41-so-what-cascade", "status": "active", "bestFor": "Data presentations, executive summaries, driving to recommendations", "canonId": "019dd956-769f-7208-afbc-f28985c6f4fb", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Data -> So What? (Insight 1) -> So What? (Insight 2) -> So What? (The Action)", "description": "Chain insights together, each answering 'so what?' until you reach the actionable conclusion", "familyLabel": null }, "matchId": "019de7d7-e0e3-75c7-88bb-5cec6033bd95", "evidence": "Data slides (6,7,9,11,12,13) each carry an action-title insight; pp 14-16 cascade to 'new users harder to garner'.", "position": 1, "objective": "Cascade global-internet user data into the insight that growth is saturating except in emerging markets", "confidence": 75, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 13, "type": "analysis", "title": "The slide highlights the divergence between Android's increasing market share and its declining ASP compared to iOS.", "function": "analyze_data", "rawType": "industry_trends", "block": null, "metadata": { "slideType": "industry_trends", "slideTypeCanon": { "name": "Industry trends", "slug": "industry_trends", "status": "active", "canonId": "019de52d-0b1d-7705-a0e0-c663199cd1fa", "version": 1, "description": null }, "function": "analyze_data", "functionCanon": { "name": "Analyze data", "slug": "analyze_data", "status": "active", "canonId": "019de52d-1590-7413-8c82-cc218cff40b4", "version": 1, "description": null }, "density": "dense", "densityScore": 72, "componentCount": 9, "textChars": 459, "nDataPoints": 40, "notes": "The slide highlights the divergence between Android's increasing market share and its declining ASP compared to iOS.", "elementsJson": [ "headline_text", "bar_chart_grouped", "data_table", "callout_box" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:32.564+00", "seconds": 3.684, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/13", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-13", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.08, "w": 0.15, "x": 0.62, "y": 0.22 }, "kind": "callout", "text": "2015 Share: iOS = 16%, Android = 81%", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": null, "subkind": { "name": "Primary callout", "slug": "primary", "status": "active", "canonId": "019de52c-fbd1-70eb-a9ce-8997f8674c1d", "version": 1, "description": null }, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:32.564+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "17920ad3-6d22-4f32-a4a8-54f245ad72eb", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.15, "x": 0.23, "y": 0.55 }, "kind": "callout", "text": "2009 Share: iOS = 14%, Android = 4%", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": null, "subkind": { "name": "Primary callout", "slug": "primary", "status": "active", "canonId": "019de52c-fbd1-70eb-a9ce-8997f8674c1d", "version": 1, "description": null }, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:32.564+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "fa73420b-cdd0-4125-8853-8d0da1485409", "parentComponentId": null }, { "bbox": null, "kind": "callout", "text": "2015 Share: iOS = 16% Android = 81%", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:00+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f22-bb970e636b68", "parentComponentId": null }, { "bbox": { "h": 0.48, "w": 0.78, "x": 0.12, "y": 0.22 }, "kind": "chart", "text": "Grouped bar chart showing iOS and Android unit shipments from 2007 to 2016E.", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Grouped bar chart", "slug": "bar-grouped", "status": "active", "canonId": "019de52c-ff3b-751e-a8ff-f21ff11097b1", "version": 1, "description": null }, "framework": null }, "subkind": "bar-grouped", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:32.564+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "8b22fa30-3088-47dd-9c3e-a8ccd7ffea99", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.1, "x": 0.16, "y": 0.28 }, "kind": "legend", "text": "iOS (red), Android (blue)", "attrs": null, "canon": { "kind": { "name": "Legend", "slug": "legend", "status": "active", "canonId": "31361933-3d22-4c70-bbad-0801e9fffc0c", "version": 1, "description": "Color/symbol decoder placed adjacent to a chart or diagram." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:32.564+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "ec2c16e6-2619-48da-a316-b62470be86cf", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Unit Shipments: 81%", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:00+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f22-be8ae09dfbfd", "parentComponentId": null }, { "bbox": { "h": 0.18, "w": 0.88, "x": 0.06, "y": 0.74 }, "kind": "table", "text": "Table showing iOS and Android ASP and Y/Y growth from 2007 to 2016E.", "attrs": null, "canon": { "kind": { "name": "Table", "slug": "table", "status": "active", "canonId": "019de52c-f9c8-7148-8119-eaac9594cd28", "version": 1, "description": "Tabular data layout." }, "tool": null, "subkind": { "name": "Data table", "slug": "data", "status": "active", "canonId": "019de52d-02d5-75b8-8abf-88e92bf63569", "version": 1, "description": null }, "framework": null }, "subkind": "data", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:32.564+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "c66e2d76-602c-41d6-8bd9-80e354b9e396", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.96, "x": 0.02, "y": 0.02 }, "kind": "title", "text": "Android Smartphone Share Gains Continue vs. iOS... Android ASP Declines Continue...Delta to iOS @ ~3x", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:32.564+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "f061b866-c7b7-4f10-bfda-4aae982ff828", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.72, "x": 0.14, "y": 0.16 }, "kind": "title", "text": "Smartphone Unit Shipments, iOS vs. Android, Global, 2007 – 2016E", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Subtitle", "slug": "subtitle", "status": "active", "canonId": "019de52c-fb09-739d-900c-815b0d9ac526", "version": 1, "description": null }, "framework": null }, "subkind": "subtitle", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:32.564+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "03d93631-d2d1-4254-b34c-54a663ea7426", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Contrast Pairs", "slug": "contrast-pairs", "status": "active", "bestFor": null, "canonId": "019dd956-9b77-70d3-88b1-f34e26f60860", "version": 1, "bodyDocId": null, "description": "Creating tension through opposites: Before↔After, Problem↔Solution, Pain↔Relief", "familyLabel": null, "categoryName": "Loop", "categorySlug": "loop" }, "agent": "Storyteller", "layer": "loop", "agents": [ "Storyteller" ], "matchId": "019de7d7-e539-76e5-9a48-5c04ae1fb94a", "evidence": "iOS vs Android volume/price contrast.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 75, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 13, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-e4fb-73c3-8d3f-fff5a3268977", "evidence": "States Android 81% share + ASP delta to iOS.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 88, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 13, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." }, { "tool": { "name": "Chart Selection Guide", "slug": "chart-selection-guide", "status": "active", "bestFor": null, "canonId": "019dd956-b1a0-700b-ba17-0e16c4d5bcae", "version": 1, "bodyDocId": null, "description": "Choosing the right chart type for your data and message", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "019de7d7-e519-76c8-b385-10020b4b7fc0", "evidence": "Grouped bars + supporting table show share + ASP.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 75, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 13, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 37, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 5, "name": "Situation & Context", "beatId": "019de7d7-df7b-76b3-8c4c-98c32793875a", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Global internet + macro trends establish baseline state.", "position": 1, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 37, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 6, "name": "The Facts (What)", "beatId": "019de7d7-e03c-735a-b728-fc03ed76149b", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Heavy chart-driven user/macro data.", "position": 1, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 16, "from": 6, "loop": { "name": "41_so_what_cascade", "slug": "41-so-what-cascade", "status": "active", "bestFor": "Data presentations, executive summaries, driving to recommendations", "canonId": "019dd956-769f-7208-afbc-f28985c6f4fb", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Data -> So What? (Insight 1) -> So What? (Insight 2) -> So What? (The Action)", "description": "Chain insights together, each answering 'so what?' until you reach the actionable conclusion", "familyLabel": null }, "matchId": "019de7d7-e0e3-75c7-88bb-5cec6033bd95", "evidence": "Data slides (6,7,9,11,12,13) each carry an action-title insight; pp 14-16 cascade to 'new users harder to garner'.", "position": 1, "objective": "Cascade global-internet user data into the insight that growth is saturating except in emerging markets", "confidence": 75, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 14, "type": "setup", "function": "summarize", "rawType": "thesis_headline", "block": null, "metadata": { "slideType": "thesis_headline", "slideTypeCanon": { "name": "Thesis headline", "slug": "thesis_headline", "status": "active", "canonId": "019de52d-073a-70cb-b9f6-772a597bb5af", "version": 1, "description": null }, "function": "summarize", "functionCanon": { "name": "Summarize", "slug": "summarize", "status": "active", "canonId": "019de52d-1541-704f-b86f-bf7b75056373", "version": 1, "description": null }, "density": "sparse", "densityScore": 4, "componentCount": 1, "textChars": 99, "nDataPoints": 0, "notes": null, "elementsJson": [ "headline_text" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:30.645+00", "seconds": 1.603, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/14", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-14", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.5, "w": 0.7, "x": 0.15, "y": 0.25 }, "kind": "title", "text": "New Internet Users = Continue to be Harder to Garner Owing to High Penetration in Developed Markets", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Action title", "slug": "action-title", "status": "active", "canonId": "019de52c-fb31-734c-a0f5-a3935b73135d", "version": 1, "description": null }, "framework": null }, "subkind": "action-title", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:30.645+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "3826ccfc-3e41-4643-afce-16517063aafa", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 37, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 5, "name": "Situation & Context", "beatId": "019de7d7-df7b-76b3-8c4c-98c32793875a", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Global internet + macro trends establish baseline state.", "position": 1, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 37, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 6, "name": "The Facts (What)", "beatId": "019de7d7-e03c-735a-b728-fc03ed76149b", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Heavy chart-driven user/macro data.", "position": 1, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 16, "from": 6, "loop": { "name": "41_so_what_cascade", "slug": "41-so-what-cascade", "status": "active", "bestFor": "Data presentations, executive summaries, driving to recommendations", "canonId": "019dd956-769f-7208-afbc-f28985c6f4fb", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Data -> So What? (Insight 1) -> So What? (Insight 2) -> So What? (The Action)", "description": "Chain insights together, each answering 'so what?' until you reach the actionable conclusion", "familyLabel": null }, "matchId": "019de7d7-e0e3-75c7-88bb-5cec6033bd95", "evidence": "Data slides (6,7,9,11,12,13) each carry an action-title insight; pp 14-16 cascade to 'new users harder to garner'.", "position": 1, "objective": "Cascade global-internet user data into the insight that growth is saturating except in emerging markets", "confidence": 75, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 15, "type": "analysis", "title": "The slide uses a radar chart to visualize the 'Internet Barriers Index' across five distinct country groupings.", "function": "present_framework", "rawType": "market_landscape", "block": null, "metadata": { "slideType": "market_landscape", "slideTypeCanon": { "name": "Market landscape", "slug": "market_landscape", "status": "active", "canonId": "019de52d-0b6d-75db-a946-9ac362e3afc2", "version": 1, "description": null }, "function": "present_framework", "functionCanon": { "name": "Present framework", "slug": "present_framework", "status": "active", "canonId": "019de52d-1403-7667-9100-d2ac6709f750", "version": 1, "description": null }, "density": "overcrowded", "densityScore": 91, "componentCount": 10, "textChars": 1620, "nDataPoints": 15, "notes": "The slide uses a radar chart to visualize the 'Internet Barriers Index' across five distinct country groupings.", "elementsJson": [ "headline_text", "radar_chart", "icon_grid", "paragraph" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:37.302+00", "seconds": 8.239, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/15", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-15", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "Countries fall into one of 5 groups based on barriers they face to Internet adoption", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:00+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f23-0681a0e13366", "parentComponentId": null }, { "bbox": { "h": 0.5, "w": 0.4, "x": 0.05, "y": 0.25 }, "kind": "chart", "text": "Radar chart showing Internet Barriers Index scores for 5 groups", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Radar chart", "slug": "radar", "status": "active", "canonId": "019de52d-00f5-74e6-82d0-74c065f6f4a9", "version": 1, "description": null }, "framework": null }, "subkind": "radar", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:37.302+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "b93f0a55-b1ad-4d2e-a835-9e5ea396e09d", "parentComponentId": null }, { "bbox": { "h": 0.12, "w": 0.45, "x": 0.52, "y": 0.77 }, "kind": "list", "text": "Group 5: Low barriers across the board; offline populations that are highly literate and disproportionately low income and female. Countries: Germany, Italy, Japan, Korea, Russia, USA. Offline population, 2014: 147 million. Internet penetration, 2014: 82%", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:37.302+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "0d9d7561-3c03-4942-b52e-d473a99854e5", "parentComponentId": null }, { "bbox": { "h": 0.12, "w": 0.45, "x": 0.52, "y": 0.32 }, "kind": "list", "text": "Group 2: Medium to high barriers with larger challenges in incentives and infrastructure; mixed demographics. Countries: Egypt, India, Indonesia, Philippines, Thailand. Offline population, 2014: 1,438 million. Internet penetration, 2014: 20%", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:37.302+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "1e7849e3-9d12-4067-86b0-1e68924a48d3", "parentComponentId": null }, { "bbox": { "h": 0.12, "w": 0.45, "x": 0.52, "y": 0.62 }, "kind": "list", "text": "Group 4: Medium barriers with greatest challenge in low incomes and affordability; offline populations predominantly urban / literate / low income. Countries: Brazil, Colombia, Mexico, South Africa, Turkey. Offline population, 2014: 244 million. Internet penetration, 2014: 52%", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:37.302+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "b6c847fd-092f-4fb3-bf10-d373359c5d01", "parentComponentId": null }, { "bbox": { "h": 0.12, "w": 0.45, "x": 0.52, "y": 0.47 }, "kind": "list", "text": "Group 3: Medium barriers with greatest challenge in incentives; rural and literate offline populations. Countries: China, Sri Lanka, Vietnam. Offline population, 2014: 753 million. Internet penetration, 2014: 49%", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:37.302+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "bc1853fe-e88d-43b5-a341-89ce3592908b", "parentComponentId": null }, { "bbox": { "h": 0.12, "w": 0.45, "x": 0.52, "y": 0.17 }, "kind": "list", "text": "Group 1: High barriers across the board; offline populations that are young, rural, and have low literacy. Countries: Bangladesh, Ethiopia, Nigeria, Pakistan, Tanzania. Offline population, 2014: 548 million. Internet penetration, 2014: 18%", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:37.302+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "fedc2ade-de11-493f-8001-f51625cd409f", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Internet penetration: 82%", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:00+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f23-0a8f76011fcd", "parentComponentId": null }, { "bbox": { "h": 0.02, "w": 0.3, "x": 0.1, "y": 0.95 }, "kind": "source-note", "text": "Source: World Bank; McKinsey analysis from Internet Barriers Index", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:37.302+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "88924861-3093-458d-b42d-96c1ff315055", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.94, "x": 0.03, "y": 0.03 }, "kind": "title", "text": "With Already High Mobile Penetration in More Developed / Affluent Countries... New Users in Less Developed / Affluent Countries Harder to Garner, per McKinsey", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:37.302+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "76bfbfbd-11d4-45fc-bb83-ccf23998e02c", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Audience Segmentation", "slug": "audience-segmentation", "status": "active", "bestFor": null, "canonId": "019dd956-8079-7046-8e6b-ecdf1bf15590", "version": 1, "bodyDocId": null, "description": "Grouping audience by attitude toward your message: Champions, Neutrals, Skeptics", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Storyteller", "layer": "block", "agents": [ "Storyteller" ], "matchId": "019de7d7-e5c0-75c7-a254-ad0b4c6a4446", "evidence": "Countries split into 5 attitude/barrier groups.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 15, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "2x2 matrix", "slug": "matrix-2x2", "status": "active", "bestFor": null, "canonId": "019dd9e1-50ab-72d1-8afb-3ab0a38e32a8", "version": 1, "bodyDocId": null, "description": "BCG matrix, importance/urgency, any axes-and-quadrants frame.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "36784b94-e78d-4fc4-8378-ba5be3068b0a", "evidence": "The list/bullet points categorize countries into groups based on barriers to Internet adoption, which can be seen as a form of 2x2 matrix.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:00:16.451525+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 15, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null }, { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-e5a0-7528-8ff2-9dafbec4275f", "evidence": "Action title cites McKinsey 5-group thesis.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 85, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 15, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." }, { "tool": { "name": "Authority Bias", "slug": "authority-bias", "status": "active", "bestFor": null, "canonId": "019dd956-c38d-70b9-a284-b2b479763356", "version": 1, "bodyDocId": null, "description": "Expert opinions are weighted more heavily - cite credible sources", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Architect", "Storyteller" ], "matchId": "019de7d7-e5de-71b8-96ff-55f18203d272", "evidence": "'per McKinsey' borrows authority.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 75, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 15, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [ { "matchId": "81064790-1c95-4350-9cdf-b62db4840a90", "evidence": "Explicitly named in slide title and source note", "framework": null, "confidence": 1, "extraction": { "at": "2026-05-02 17:38:37.302+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 15, "frameworkName": "Internet Barriers Index" }, { "matchId": "019de7d7-fce9-769d-b430-e597c972d470", "evidence": "Radar chart + 5 group profiles, 'per McKinsey'.", "framework": null, "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 15, "frameworkName": "McKinsey Internet Barriers Index (5 groups)" } ], "arcBeats": [ { "to": 37, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 5, "name": "Situation & Context", "beatId": "019de7d7-df7b-76b3-8c4c-98c32793875a", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Global internet + macro trends establish baseline state.", "position": 1, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 37, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 6, "name": "The Facts (What)", "beatId": "019de7d7-e03c-735a-b728-fc03ed76149b", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Heavy chart-driven user/macro data.", "position": 1, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 16, "from": 6, "loop": { "name": "41_so_what_cascade", "slug": "41-so-what-cascade", "status": "active", "bestFor": "Data presentations, executive summaries, driving to recommendations", "canonId": "019dd956-769f-7208-afbc-f28985c6f4fb", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Data -> So What? (Insight 1) -> So What? (Insight 2) -> So What? (The Action)", "description": "Chain insights together, each answering 'so what?' until you reach the actionable conclusion", "familyLabel": null }, "matchId": "019de7d7-e0e3-75c7-88bb-5cec6033bd95", "evidence": "Data slides (6,7,9,11,12,13) each carry an action-title insight; pp 14-16 cascade to 'new users harder to garner'.", "position": 1, "objective": "Cascade global-internet user data into the insight that growth is saturating except in emerging markets", "confidence": 75, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 16, "type": "analysis", "title": "The chart highlights the affordability gap for smartphones in developing markets compared to developed ones.", "function": "analyze_data", "rawType": "data_table", "block": null, "metadata": { "slideType": "data_table", "slideTypeCanon": { "name": "Data table", "slug": "data_table", "status": "active", "canonId": "019de52d-0bbd-71b9-9918-417f904abbf8", "version": 1, "description": null }, "function": "analyze_data", "functionCanon": { "name": "Analyze data", "slug": "analyze_data", "status": "active", "canonId": "019de52d-1590-7413-8c82-cc218cff40b4", "version": 1, "description": null }, "density": "balanced", "densityScore": 47, "componentCount": 5, "textChars": 563, "nDataPoints": 40, "notes": "The chart highlights the affordability gap for smartphones in developing markets compared to developed ones.", "elementsJson": [ "headline_text", "bar_chart_horizontal", "footnote" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:31.61+00", "seconds": 2.454, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/16", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-16", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.75, "w": 0.9, "x": 0.05, "y": 0.15 }, "kind": "chart", "text": "Average retail price of a smart phone, $USD, 2014", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Horizontal bar chart", "slug": "bar-horizontal", "status": "active", "canonId": "019de52c-fec4-7221-986b-1cb5f5e84b1f", "version": 1, "description": null }, "framework": null }, "subkind": "bar-horizontal", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:31.61+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "9e0fa9f6-fc6d-49f3-b81d-d3bf7659f08c", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.4, "x": 0.1, "y": 0.92 }, "kind": "disclaimer", "text": "Source: McKinsey, Euromonitor, (smartphone prices); World Bank, estimates (GNI p.c., Atlas method) Note: Reflects true prices as paid by the consumer at point-of-sale; includes taxes and subsidies. Excludes data plan costs.", "attrs": null, "canon": { "kind": { "name": "Disclaimer", "slug": "disclaimer", "status": "active", "canonId": "91173477-d91f-4024-bbaf-d4f93e3f82dc", "version": 1, "description": "Legal/cautionary text that occupies most of the body of its slide." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:31.61+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "4cf9504d-135a-415b-ac6e-f526c92ef82e", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.25, "x": 0.6, "y": 0.23 }, "kind": "legend", "text": "Cost of smartphone as a % of GNI per capita, 2014. Developing (blue), Developed (black).", "attrs": null, "canon": { "kind": { "name": "Legend", "slug": "legend", "status": "active", "canonId": "31361933-3d22-4c70-bbad-0801e9fffc0c", "version": 1, "description": "Color/symbol decoder placed adjacent to a chart or diagram." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:31.61+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "cf6ea52a-5efb-4e54-8cb9-5135619aff7d", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Cost of smartphone as a % of GNI per capita: 47.6", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:16:58+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f22-2b976586f5ce", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.96, "x": 0.02, "y": 0.02 }, "kind": "title", "text": "Smartphone Cost in Many Developing Markets = Material % of Per Capita Income... 15% (Vietnam) / 10% (Nigeria) / 10% (India) / 6% (Indonesia), per McKinsey", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:31.61+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "ead9f4b5-93fa-4e9e-ad06-4df345beefc8", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-e5ff-7195-9285-8598bb175777", "evidence": "Headline gives % of GNI per capita per country.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 85, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 16, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." }, { "tool": { "name": "Color Strategy", "slug": "color-strategy", "status": "active", "bestFor": null, "canonId": "019dd956-b202-77cf-8a6e-f445b08c0fd3", "version": 1, "bodyDocId": null, "description": "Using color for emphasis, categories, sentiment, and hierarchy", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "019de7d7-e61e-73cd-8002-e960a79f7ae5", "evidence": "Developing (blue) vs developed (black) color coding.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 75, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 16, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Contrast Principle", "slug": "contrast-principle", "status": "active", "bestFor": null, "canonId": "019dd956-bf0f-73ae-b9df-e60508cdaa65", "version": 1, "bodyDocId": null, "description": "Higher visual weight draws attention - use contrast strategically for emphasis", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "019de7d7-e63e-7363-8109-d05a67c6b555", "evidence": "Bars contrast affordability across markets.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 16, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Data-Ink Ratio", "slug": "data-ink-ratio", "status": "active", "bestFor": null, "canonId": "019dd956-afc8-70da-b378-92834d36fde6", "version": 1, "bodyDocId": null, "description": "Maximize data, minimize non-data ink - remove chartjunk and decoration", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "d602875d-dce0-4b86-90a6-de7187363c92", "evidence": "The chart/bar-horizontal shows a clear and simple representation of data, prioritizing data-ink ratio.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:00:16.519691+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 16, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 37, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 5, "name": "Situation & Context", "beatId": "019de7d7-df7b-76b3-8c4c-98c32793875a", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Global internet + macro trends establish baseline state.", "position": 1, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 37, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 6, "name": "The Facts (What)", "beatId": "019de7d7-e03c-735a-b728-fc03ed76149b", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Heavy chart-driven user/macro data.", "position": 1, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 16, "from": 6, "loop": { "name": "41_so_what_cascade", "slug": "41-so-what-cascade", "status": "active", "bestFor": "Data presentations, executive summaries, driving to recommendations", "canonId": "019dd956-769f-7208-afbc-f28985c6f4fb", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Data -> So What? (Insight 1) -> So What? (Insight 2) -> So What? (The Action)", "description": "Chain insights together, each answering 'so what?' until you reach the actionable conclusion", "familyLabel": null }, "matchId": "019de7d7-e0e3-75c7-88bb-5cec6033bd95", "evidence": "Data slides (6,7,9,11,12,13) each carry an action-title insight; pp 14-16 cascade to 'new users harder to garner'.", "position": 1, "objective": "Cascade global-internet user data into the insight that growth is saturating except in emerging markets", "confidence": 75, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 17, "type": "setup", "function": "transition", "rawType": "section_divider", "block": null, "metadata": { "slideType": "section_divider", "slideTypeCanon": { "name": "Section divider", "slug": "section_divider", "status": "active", "canonId": "019de52d-066a-7402-9554-6ae504999041", "version": 1, "description": null }, "function": "transition", "functionCanon": { "name": "Transition", "slug": "transition", "status": "active", "canonId": "019de52d-1365-7149-92aa-66df859e75fd", "version": 1, "description": null }, "density": "sparse", "densityScore": 1, "componentCount": 1, "textChars": 19, "nDataPoints": 0, "notes": null, "elementsJson": [ "headline_text" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:32.887+00", "seconds": 3.641, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/17", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-17", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.1, "w": 0.6, "x": 0.05, "y": 0.3 }, "kind": "title", "text": "GLOBAL MACRO TRENDS", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:32.887+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "afe84715-121a-4b84-b6aa-d5d70d3a15c8", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 37, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 5, "name": "Situation & Context", "beatId": "019de7d7-df7b-76b3-8c4c-98c32793875a", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Global internet + macro trends establish baseline state.", "position": 1, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 37, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 6, "name": "The Facts (What)", "beatId": "019de7d7-e03c-735a-b728-fc03ed76149b", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Heavy chart-driven user/macro data.", "position": 1, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [], "locked": true }, { "page": 18, "type": "setup", "function": "transition", "rawType": "transition", "block": null, "metadata": { "slideType": "transition", "slideTypeCanon": { "name": "Transition", "slug": "transition", "status": "active", "canonId": "019de52d-0693-7766-9f05-887f41f8e41e", "version": 1, "description": null }, "function": "transition", "functionCanon": { "name": "Transition", "slug": "transition", "status": "active", "canonId": "019de52d-1365-7149-92aa-66df859e75fd", "version": 1, "description": null }, "density": "sparse", "densityScore": 1, "componentCount": 1, "textChars": 32, "nDataPoints": 0, "notes": null, "elementsJson": [ "headline_text" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:31.192+00", "seconds": 1.849, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/18", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-18", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.2, "w": 0.7, "x": 0.15, "y": 0.4 }, "kind": "title", "text": "Global Economic Growth = Slowing", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:31.192+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "1f9a471d-2cfe-415e-9835-c0a00b029fe0", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 37, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 5, "name": "Situation & Context", "beatId": "019de7d7-df7b-76b3-8c4c-98c32793875a", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Global internet + macro trends establish baseline state.", "position": 1, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 37, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 6, "name": "The Facts (What)", "beatId": "019de7d7-e03c-735a-b728-fc03ed76149b", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Heavy chart-driven user/macro data.", "position": 1, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 33, "from": 18, "loop": { "name": "02_pattern_hunter", "slug": "02-pattern-hunter", "status": "active", "bestFor": "Time-pressed audiences, building consensus, when data is strong", "canonId": "019dd956-6695-771a-be2e-f1748ef041a4", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion", "description": "Group multiple pieces of evidence that together point to a pattern or conclusion", "familyLabel": null }, "matchId": "019de7d7-e104-7489-96f5-b4c949423bcb", "evidence": "Sequence of independent evidences (pp 19,21,23,25,29,30,32,33) converge on the slowdown pattern.", "position": 2, "objective": "Stack multiple macro signals (GDP, commodities, growth-engine shift, debt, rates) pointing to the same conclusion: macro slowdown", "confidence": 80, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 19, "type": "analysis", "title": "The chart uses color coding (green/red) to distinguish growth above/below the 20-year average line.", "function": "analyze_data", "rawType": "industry_trends", "block": null, "metadata": { "slideType": "industry_trends", "slideTypeCanon": { "name": "Industry trends", "slug": "industry_trends", "status": "active", "canonId": "019de52d-0b1d-7705-a0e0-c663199cd1fa", "version": 1, "description": null }, "function": "analyze_data", "functionCanon": { "name": "Analyze data", "slug": "analyze_data", "status": "active", "canonId": "019de52d-1590-7413-8c82-cc218cff40b4", "version": 1, "description": null }, "density": "balanced", "densityScore": 48, "componentCount": 6, "textChars": 377, "nDataPoints": 36, "notes": "The chart uses color coding (green/red) to distinguish growth above/below the 20-year average line.", "elementsJson": [ "headline_text", "bar_chart_vertical", "footnote" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:32.091+00", "seconds": 2.628, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/19", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-19", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.1, "w": 0.12, "x": 0.85, "y": 0.35 }, "kind": "callout", "text": "20-Year Avg = 3.8%\n35-Year Avg = 3.5%", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": null, "subkind": { "name": "Primary callout", "slug": "primary", "status": "active", "canonId": "019de52c-fbd1-70eb-a9ce-8997f8674c1d", "version": 1, "description": null }, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:32.091+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "b336e34f-6c4d-4392-a1c8-46346361ba00", "parentComponentId": null }, { "bbox": null, "kind": "callout", "text": "20-Year Avg = 3.8%", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:16:58+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f21-b984d7439302", "parentComponentId": null }, { "bbox": { "h": 0.7, "w": 0.85, "x": 0.08, "y": 0.15 }, "kind": "chart", "text": "Global Real GDP Growth (%), 1980 – 2015", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Vertical bar chart", "slug": "bar-vertical", "status": "active", "canonId": "019de52c-fe9d-70f2-b3b7-a9ae294f5917", "version": 1, "description": null }, "framework": null }, "subkind": "bar-vertical", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:32.091+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "2d353c84-0d57-4a67-9838-6dae38f9d0c0", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Global Real GDP Growth: 3.8%", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:16:58+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f21-be2f4625612c", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.5, "x": 0.02, "y": 0.95 }, "kind": "source-note", "text": "Source: IMF WEO, 4/16. Stephen Roach, \"A World Turned Inside Out,\" Yale Jackson Institute for Global Affairs, 5/16. Note: GDP growth based on constant prices (real GDP growth).", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:32.091+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "9b2b7aea-c833-4b44-a31f-8c31298a74a0", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.85, "x": 0.02, "y": 0.02 }, "kind": "title", "text": "Global GDP Growth Slowing = Growth in 6 of Last 8 Years @ Below 20-Year Average", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Action title", "slug": "action-title", "status": "active", "canonId": "019de52c-fb31-734c-a0f5-a3935b73135d", "version": 1, "description": null }, "framework": null }, "subkind": "action-title", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:32.091+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "03b838c5-073e-4239-ae64-2b993383ef4d", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Inductive Reasoning", "slug": "inductive-reasoning", "status": "active", "bestFor": null, "canonId": "019dd956-99c6-705e-94cc-76a504c3da37", "version": 1, "bodyDocId": null, "description": "Grouping similar evidence to form a conclusion (Evidence → Pattern → Conclusion)", "familyLabel": null, "categoryName": "Loop", "categorySlug": "loop" }, "agent": "Architect", "layer": "loop", "agents": [ "Architect" ], "matchId": "019de7d7-e708-760c-8aff-df9a7c0d904e", "evidence": "First evidence in macro pattern stack.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 19, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-e65d-75eb-b73e-f1e316649811", "evidence": "'Below 20-Year Average in 6 of 8 years' is the headline insight.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 88, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 19, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." }, { "tool": { "name": "Annotation", "slug": "annotation", "status": "active", "bestFor": null, "canonId": "019dd956-b5b9-7668-bf0e-3af99823ec5c", "version": 1, "bodyDocId": null, "description": "Adding explanatory labels to highlight key data points", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "019de7d7-e6e8-774c-a437-42b51f61b847", "evidence": "20-year avg callout line.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 19, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Chart Selection Guide", "slug": "chart-selection-guide", "status": "active", "bestFor": null, "canonId": "019dd956-b1a0-700b-ba17-0e16c4d5bcae", "version": 1, "bodyDocId": null, "description": "Choosing the right chart type for your data and message", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "d79bce4f-dab8-4322-8f64-d26ca369358a", "evidence": "The chart/bar-vertical effectively shows the trend of Global Real GDP Growth over time.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:00:16.592064+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 19, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Color Strategy", "slug": "color-strategy", "status": "active", "bestFor": null, "canonId": "019dd956-b202-77cf-8a6e-f445b08c0fd3", "version": 1, "bodyDocId": null, "description": "Using color for emphasis, categories, sentiment, and hierarchy", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "019de7d7-e67d-70ae-91c3-eaf3cd595a64", "evidence": "Green=above avg, red=below avg color coding.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 80, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 19, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 37, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 5, "name": "Situation & Context", "beatId": "019de7d7-df7b-76b3-8c4c-98c32793875a", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Global internet + macro trends establish baseline state.", "position": 1, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 37, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 6, "name": "The Facts (What)", "beatId": "019de7d7-e03c-735a-b728-fc03ed76149b", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Heavy chart-driven user/macro data.", "position": 1, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 33, "from": 18, "loop": { "name": "02_pattern_hunter", "slug": "02-pattern-hunter", "status": "active", "bestFor": "Time-pressed audiences, building consensus, when data is strong", "canonId": "019dd956-6695-771a-be2e-f1748ef041a4", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion", "description": "Group multiple pieces of evidence that together point to a pattern or conclusion", "familyLabel": null }, "matchId": "019de7d7-e104-7489-96f5-b4c949423bcb", "evidence": "Sequence of independent evidences (pp 19,21,23,25,29,30,32,33) converge on the slowdown pattern.", "position": 2, "objective": "Stack multiple macro signals (GDP, commodities, growth-engine shift, debt, rates) pointing to the same conclusion: macro slowdown", "confidence": 80, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 20, "type": "setup", "function": "transition", "rawType": "section_divider", "block": null, "metadata": { "slideType": "section_divider", "slideTypeCanon": { "name": "Section divider", "slug": "section_divider", "status": "active", "canonId": "019de52d-066a-7402-9554-6ae504999041", "version": 1, "description": null }, "function": "transition", "functionCanon": { "name": "Transition", "slug": "transition", "status": "active", "canonId": "019de52d-1365-7149-92aa-66df859e75fd", "version": 1, "description": null }, "density": "sparse", "densityScore": 4, "componentCount": 2, "textChars": 67, "nDataPoints": 0, "notes": null, "elementsJson": [ "headline_text" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:31.332+00", "seconds": 1.865, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/20", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-20", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.06, "w": 0.66, "x": 0.17, "y": 0.375 }, "kind": "title", "text": "Commodity Price Trends =", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:31.332+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "0e5d2d25-e7f7-4f4e-b80e-fd7792ba4ddc", "parentComponentId": null }, { "bbox": { "h": 0.12, "w": 0.56, "x": 0.22, "y": 0.545 }, "kind": "title", "text": "In Part, Tell Tale of Slowing Global Growth", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:31.332+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "363cdf94-bb7f-433c-8585-bfac92b7dce9", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 37, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 5, "name": "Situation & Context", "beatId": "019de7d7-df7b-76b3-8c4c-98c32793875a", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Global internet + macro trends establish baseline state.", "position": 1, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 37, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 6, "name": "The Facts (What)", "beatId": "019de7d7-e03c-735a-b728-fc03ed76149b", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Heavy chart-driven user/macro data.", "position": 1, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 33, "from": 18, "loop": { "name": "02_pattern_hunter", "slug": "02-pattern-hunter", "status": "active", "bestFor": "Time-pressed audiences, building consensus, when data is strong", "canonId": "019dd956-6695-771a-be2e-f1748ef041a4", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion", "description": "Group multiple pieces of evidence that together point to a pattern or conclusion", "familyLabel": null }, "matchId": "019de7d7-e104-7489-96f5-b4c949423bcb", "evidence": "Sequence of independent evidences (pp 19,21,23,25,29,30,32,33) converge on the slowdown pattern.", "position": 2, "objective": "Stack multiple macro signals (GDP, commodities, growth-engine shift, debt, rates) pointing to the same conclusion: macro slowdown", "confidence": 80, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 21, "type": "analysis", "title": "The chart uses arrows to highlight the peak and subsequent downward trend.", "function": "analyze_data", "rawType": "industry_trends", "block": null, "metadata": { "slideType": "industry_trends", "slideTypeCanon": { "name": "Industry trends", "slug": "industry_trends", "status": "active", "canonId": "019de52d-0b1d-7705-a0e0-c663199cd1fa", "version": 1, "description": null }, "function": "analyze_data", "functionCanon": { "name": "Analyze data", "slug": "analyze_data", "status": "active", "canonId": "019de52d-1590-7413-8c82-cc218cff40b4", "version": 1, "description": null }, "density": "balanced", "densityScore": 37, "componentCount": 5, "textChars": 385, "nDataPoints": 4, "notes": "The chart uses arrows to highlight the peak and subsequent downward trend.", "elementsJson": [ "headline_text", "line_chart", "footnote" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:32.018+00", "seconds": 2.524, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/21", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-21", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.6, "w": 0.8, "x": 0.1, "y": 0.25 }, "kind": "chart", "text": "Bloomberg Commodity Index trend from 2000 to 2016", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Line chart", "slug": "line", "status": "active", "canonId": "019de52c-ff62-778f-8f6c-a952ceae8677", "version": 1, "description": null }, "framework": null }, "subkind": "line", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:32.018+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "94422d19-b592-4d67-8e98-9e4d7b63e25c", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Bloomberg Commodity Index: -39%", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:16:59+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f22-65bfc19dfbba", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.8, "x": 0.1, "y": 0.9 }, "kind": "source-note", "text": "Source: Morgan Stanley, Bloomberg as of 5/25/16. Note: Bloomberg Commodity Index represents 22 globally traded commodities...", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:32.018+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "74965d81-a8ac-4666-8db6-04ec21cbca1a", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.9, "x": 0.05, "y": 0.05 }, "kind": "title", "text": "Commodity Prices Down = -39% Since 5/14 vs. -8% Annual Average (5/11-4/14) & +6% (1/00-4/11)", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Action title", "slug": "action-title", "status": "active", "canonId": "019de52c-fb31-734c-a0f5-a3935b73135d", "version": 1, "description": null }, "framework": null }, "subkind": "action-title", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:32.018+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "b319a72d-d31d-4189-873d-aad3edd52d75", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.6, "x": 0.2, "y": 0.15 }, "kind": "title", "text": "Global Commodity Prices, Bloomberg Commodity Index (Indexed to 0 @ 1/00), 2000 – 2016YTD", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:32.018+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "fe816b4a-90ec-4987-804b-7643333d286d", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-e727-74ab-bc91-8f2ffb9390d9", "evidence": "'-39% since 5/14' is action-title.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 85, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 21, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." }, { "tool": { "name": "Annotation", "slug": "annotation", "status": "active", "bestFor": null, "canonId": "019dd956-b5b9-7668-bf0e-3af99823ec5c", "version": 1, "bodyDocId": null, "description": "Adding explanatory labels to highlight key data points", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "019de7d7-e746-7450-8767-48212788fb9a", "evidence": "Annotated arrows highlight downward trend.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 75, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 21, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Chart Selection Guide", "slug": "chart-selection-guide", "status": "active", "bestFor": null, "canonId": "019dd956-b1a0-700b-ba17-0e16c4d5bcae", "version": 1, "bodyDocId": null, "description": "Choosing the right chart type for your data and message", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "602845c0-01f9-48cc-8d6f-f58e158acd6a", "evidence": "The chart/line clearly displays the trend of the Bloomberg Commodity Index over time.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:00:16.661207+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 21, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 37, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 5, "name": "Situation & Context", "beatId": "019de7d7-df7b-76b3-8c4c-98c32793875a", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Global internet + macro trends establish baseline state.", "position": 1, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 37, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 6, "name": "The Facts (What)", "beatId": "019de7d7-e03c-735a-b728-fc03ed76149b", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Heavy chart-driven user/macro data.", "position": 1, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 33, "from": 18, "loop": { "name": "02_pattern_hunter", "slug": "02-pattern-hunter", "status": "active", "bestFor": "Time-pressed audiences, building consensus, when data is strong", "canonId": "019dd956-6695-771a-be2e-f1748ef041a4", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion", "description": "Group multiple pieces of evidence that together point to a pattern or conclusion", "familyLabel": null }, "matchId": "019de7d7-e104-7489-96f5-b4c949423bcb", "evidence": "Sequence of independent evidences (pp 19,21,23,25,29,30,32,33) converge on the slowdown pattern.", "position": 2, "objective": "Stack multiple macro signals (GDP, commodities, growth-engine shift, debt, rates) pointing to the same conclusion: macro slowdown", "confidence": 80, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 22, "type": "setup", "function": "transition", "rawType": "section_divider", "block": null, "metadata": { "slideType": "section_divider", "slideTypeCanon": { "name": "Section divider", "slug": "section_divider", "status": "active", "canonId": "019de52d-066a-7402-9554-6ae504999041", "version": 1, "description": null }, "function": "transition", "functionCanon": { "name": "Transition", "slug": "transition", "status": "active", "canonId": "019de52d-1365-7149-92aa-66df859e75fd", "version": 1, "description": null }, "density": "sparse", "densityScore": 1, "componentCount": 1, "textChars": 40, "nDataPoints": 0, "notes": null, "elementsJson": [ "headline_text" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:31.168+00", "seconds": 1.538, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/22", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-22", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.12, "w": 0.62, "x": 0.19, "y": 0.44 }, "kind": "title", "text": "Global Growth Engines = Evolve Over Time", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:31.168+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "68fadfc3-8659-4262-8884-8d7324d93fbf", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 37, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 5, "name": "Situation & Context", "beatId": "019de7d7-df7b-76b3-8c4c-98c32793875a", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Global internet + macro trends establish baseline state.", "position": 1, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 37, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 6, "name": "The Facts (What)", "beatId": "019de7d7-e03c-735a-b728-fc03ed76149b", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Heavy chart-driven user/macro data.", "position": 1, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 33, "from": 18, "loop": { "name": "02_pattern_hunter", "slug": "02-pattern-hunter", "status": "active", "bestFor": "Time-pressed audiences, building consensus, when data is strong", "canonId": "019dd956-6695-771a-be2e-f1748ef041a4", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion", "description": "Group multiple pieces of evidence that together point to a pattern or conclusion", "familyLabel": null }, "matchId": "019de7d7-e104-7489-96f5-b4c949423bcb", "evidence": "Sequence of independent evidences (pp 19,21,23,25,29,30,32,33) converge on the slowdown pattern.", "position": 2, "objective": "Stack multiple macro signals (GDP, commodities, growth-engine shift, debt, rates) pointing to the same conclusion: macro slowdown", "confidence": 80, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 23, "type": "analysis", "title": "The slide uses two pie charts to illustrate the shift in economic growth contribution over 30 years.", "function": "analyze_data", "rawType": "industry_trends", "block": null, "metadata": { "slideType": "industry_trends", "slideTypeCanon": { "name": "Industry trends", "slug": "industry_trends", "status": "active", "canonId": "019de52d-0b1d-7705-a0e0-c663199cd1fa", "version": 1, "description": null }, "function": "analyze_data", "functionCanon": { "name": "Analyze data", "slug": "analyze_data", "status": "active", "canonId": "019de52d-1590-7413-8c82-cc218cff40b4", "version": 1, "description": null }, "density": "overcrowded", "densityScore": 78, "componentCount": 8, "textChars": 933, "nDataPoints": 14, "notes": "The slide uses two pie charts to illustrate the shift in economic growth contribution over 30 years.", "elementsJson": [ "headline_text", "pie_chart", "pie_chart" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:33.105+00", "seconds": 3.346, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/23", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-23", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "Global Growth Engines @ ~2/3 of Global GDP Growth... 1985 = N. America + Europe + Japan 2015 = China + Emerging Asia", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:00+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f22-e85616282dad", "parentComponentId": null }, { "bbox": { "h": 0.5, "w": 0.35, "x": 0.05, "y": 0.25 }, "kind": "chart", "text": "Real GDP Growth Contribution by Region, 1985", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Pie chart", "slug": "pie", "status": "active", "canonId": "019de52c-ffdb-71bb-a800-5c5ab9f1c373", "version": 1, "description": null }, "framework": null }, "subkind": "pie", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:33.105+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "1a6b210b-cf47-4321-8caf-af7e38cffc0f", "parentComponentId": null }, { "bbox": { "h": 0.6, "w": 0.4, "x": 0.55, "y": 0.25 }, "kind": "chart", "text": "Real GDP Growth Contribution by Region, 2015", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Pie chart", "slug": "pie", "status": "active", "canonId": "019de52c-ffdb-71bb-a800-5c5ab9f1c373", "version": 1, "description": null }, "framework": null }, "subkind": "pie", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:33.105+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "2e8cf604-9225-4797-a73f-225deb8843fd", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.8, "x": 0.1, "y": 0.92 }, "kind": "disclaimer", "text": "Source: IMF WEO, 4/16. GDP growth based on constant prices (real GDP growth). PPP = Purchasing Power Parity exchange rate, national currency per international dollar. GDP PPP = GDP adjusted by PPP rate. Emerging Asia includes Bangladesh, Cambodia, India, Indonesia, Lao, Malaysia, Mongolia, Myanmar, Nepal, Philippines, Sri Lanka, Thailand, Vietnam and others and excludes China. GDP growth contribution based on annual snapshots stated above and not necessarily reflective of secular trends.", "attrs": null, "canon": { "kind": { "name": "Disclaimer", "slug": "disclaimer", "status": "active", "canonId": "91173477-d91f-4024-bbaf-d4f93e3f82dc", "version": 1, "description": "Legal/cautionary text that occupies most of the body of its slide." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:33.105+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "7489ef50-7c4e-4a19-bd0e-990acfe370ba", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.8, "x": 0.1, "y": 0.85 }, "kind": "legend", "text": "Europe, N. America, Japan, China, Emerging Asia (ex-China), Lat Am, Middle East, Africa, Other", "attrs": null, "canon": { "kind": { "name": "Legend", "slug": "legend", "status": "active", "canonId": "31361933-3d22-4c70-bbad-0801e9fffc0c", "version": 1, "description": "Color/symbol decoder placed adjacent to a chart or diagram." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:33.105+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "38b970b3-5817-4baf-bc56-1fa29fcd4650", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "GDP growth contribution: 63%", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:00+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f22-ec00a30c5d66", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.45, "x": 0.02, "y": 0.07 }, "kind": "title", "text": "1985 = N. America + Europe + Japan\n2015 = China + Emerging Asia", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Action title", "slug": "action-title", "status": "active", "canonId": "019de52c-fb31-734c-a0f5-a3935b73135d", "version": 1, "description": null }, "framework": null }, "subkind": "action-title", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:33.105+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "41b731fb-fa46-4234-b675-7faa3ed487f6", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.6, "x": 0.02, "y": 0.02 }, "kind": "title", "text": "Global Growth Engines @ ~2/3 of Global GDP Growth...", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:33.105+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "0de4dee1-3af8-463d-88a0-a7b3dde3d85e", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Before-After-Bridge", "slug": "before-after-bridge", "status": "active", "bestFor": null, "canonId": "019dd956-8604-7188-883f-42370288ad05", "version": 1, "bodyDocId": null, "description": "Narrative structure: Paint the before, show the after, explain the bridge", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Storyteller", "layer": "block", "agents": [ "Storyteller" ], "matchId": "019de7d7-e7ee-7206-af9f-74b6e4d5b00a", "evidence": "30-year before/after of growth engines.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 23, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Contrast Pairs", "slug": "contrast-pairs", "status": "active", "bestFor": null, "canonId": "019dd956-9b77-70d3-88b1-f34e26f60860", "version": 1, "bodyDocId": null, "description": "Creating tension through opposites: Before↔After, Problem↔Solution, Pain↔Relief", "familyLabel": null, "categoryName": "Loop", "categorySlug": "loop" }, "agent": "Storyteller", "layer": "loop", "agents": [ "Storyteller" ], "matchId": "019de7d7-e7ce-70e1-8227-694fd75c7371", "evidence": "Side-by-side 1985 vs 2015 pies.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 82, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 23, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-e7ae-7203-9815-b984d4412c53", "evidence": "'1985 = NA+Eur+Japan, 2015 = China + EM Asia' insight.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 85, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 23, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." } ], "frameworks": [ { "matchId": "019de7d7-fd08-740f-813b-1dd9ec3359a6", "evidence": "1985 vs 2015 pie comparison of growth engines.", "framework": null, "confidence": 70, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 23, "frameworkName": "Before/after framing" } ], "arcBeats": [ { "to": 37, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 5, "name": "Situation & Context", "beatId": "019de7d7-df7b-76b3-8c4c-98c32793875a", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Global internet + macro trends establish baseline state.", "position": 1, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 37, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 6, "name": "The Facts (What)", "beatId": "019de7d7-e03c-735a-b728-fc03ed76149b", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Heavy chart-driven user/macro data.", "position": 1, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 33, "from": 18, "loop": { "name": "02_pattern_hunter", "slug": "02-pattern-hunter", "status": "active", "bestFor": "Time-pressed audiences, building consensus, when data is strong", "canonId": "019dd956-6695-771a-be2e-f1748ef041a4", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion", "description": "Group multiple pieces of evidence that together point to a pattern or conclusion", "familyLabel": null }, "matchId": "019de7d7-e104-7489-96f5-b4c949423bcb", "evidence": "Sequence of independent evidences (pp 19,21,23,25,29,30,32,33) converge on the slowdown pattern.", "position": 2, "objective": "Stack multiple macro signals (GDP, commodities, growth-engine shift, debt, rates) pointing to the same conclusion: macro slowdown", "confidence": 80, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 24, "type": "setup", "function": "transition", "rawType": "section_divider", "block": null, "metadata": { "slideType": "section_divider", "slideTypeCanon": { "name": "Section divider", "slug": "section_divider", "status": "active", "canonId": "019de52d-066a-7402-9554-6ae504999041", "version": 1, "description": null }, "function": "transition", "functionCanon": { "name": "Transition", "slug": "transition", "status": "active", "canonId": "019de52d-1365-7149-92aa-66df859e75fd", "version": 1, "description": null }, "density": "sparse", "densityScore": 5, "componentCount": 2, "textChars": 106, "nDataPoints": 0, "notes": null, "elementsJson": [ "headline_text" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:31.423+00", "seconds": 1.657, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/24", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-24", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.15, "w": 0.6, "x": 0.2, "y": 0.65 }, "kind": "title", "text": "Past 6 Years > Previous 30 Years", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Action title", "slug": "action-title", "status": "active", "canonId": "019de52c-fb31-734c-a0f5-a3935b73135d", "version": 1, "description": null }, "framework": null }, "subkind": "action-title", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:31.423+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "99a71d65-8632-4dac-9e0c-8d8eeac38950", "parentComponentId": null }, { "bbox": { "h": 0.25, "w": 0.6, "x": 0.2, "y": 0.25 }, "kind": "title", "text": "China's Gross Capital Formation (Capital Equipment / Roads / Buildings...)", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:31.423+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "78330afb-b354-4f22-b846-357b63540c5b", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 37, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 5, "name": "Situation & Context", "beatId": "019de7d7-df7b-76b3-8c4c-98c32793875a", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Global internet + macro trends establish baseline state.", "position": 1, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 37, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 6, "name": "The Facts (What)", "beatId": "019de7d7-e03c-735a-b728-fc03ed76149b", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Heavy chart-driven user/macro data.", "position": 1, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 33, "from": 18, "loop": { "name": "02_pattern_hunter", "slug": "02-pattern-hunter", "status": "active", "bestFor": "Time-pressed audiences, building consensus, when data is strong", "canonId": "019dd956-6695-771a-be2e-f1748ef041a4", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion", "description": "Group multiple pieces of evidence that together point to a pattern or conclusion", "familyLabel": null }, "matchId": "019de7d7-e104-7489-96f5-b4c949423bcb", "evidence": "Sequence of independent evidences (pp 19,21,23,25,29,30,32,33) converge on the slowdown pattern.", "position": 2, "objective": "Stack multiple macro signals (GDP, commodities, growth-engine shift, debt, rates) pointing to the same conclusion: macro slowdown", "confidence": 80, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 25, "type": "analysis", "title": "The chart uses a bracket annotation to compare the cumulative investment of 1980-2009 ($20T+) vs 2010-2015 ($21T+).", "function": "analyze_data", "rawType": "data_table", "block": null, "metadata": { "slideType": "data_table", "slideTypeCanon": { "name": "Data table", "slug": "data_table", "status": "active", "canonId": "019de52d-0bbd-71b9-9918-417f904abbf8", "version": 1, "description": null }, "function": "analyze_data", "functionCanon": { "name": "Analyze data", "slug": "analyze_data", "status": "active", "canonId": "019de52d-1590-7413-8c82-cc218cff40b4", "version": 1, "description": null }, "density": "dense", "densityScore": 52, "componentCount": 6, "textChars": 475, "nDataPoints": 36, "notes": "The chart uses a bracket annotation to compare the cumulative investment of 1980-2009 ($20T+) vs 2010-2015 ($21T+).", "elementsJson": [ "headline_text", "bar_chart_vertical", "footnote" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:32.772+00", "seconds": 2.951, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/25", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-25", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "Sum of Past 6 Years > Previous 30 Years", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:16:59+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f22-887af26cc8a2", "parentComponentId": null }, { "bbox": { "h": 0.6, "w": 0.75, "x": 0.15, "y": 0.18 }, "kind": "chart", "text": "China Gross Capital Formation, 1980 – 2015", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Vertical bar chart", "slug": "bar-vertical", "status": "active", "canonId": "019de52c-fe9d-70f2-b3b7-a9ae294f5917", "version": 1, "description": null }, "framework": null }, "subkind": "bar-vertical", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:32.772+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "d3ca2ea0-1f5c-4b9c-8d67-4865bbff8306", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.65, "x": 0.1, "y": 0.92 }, "kind": "disclaimer", "text": "Source: China National Bureau of Statistics, 5/16. Amounts are inflation adjusted to 2010 dollars based on IMF data on inflation rates (yearly average). Gross capital formation = gross fixed capital formation (majority) + changes in inventory.", "attrs": null, "canon": { "kind": { "name": "Disclaimer", "slug": "disclaimer", "status": "active", "canonId": "91173477-d91f-4024-bbaf-d4f93e3f82dc", "version": 1, "description": "Legal/cautionary text that occupies most of the body of its slide." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:32.772+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "37d1ef4c-0c56-4103-9bf6-0094aa973512", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.72, "x": 0.18, "y": 0.28 }, "kind": "legend", "text": "$20T+ (1980-2009) and $21T+ (2010-2015)", "attrs": null, "canon": { "kind": { "name": "Legend", "slug": "legend", "status": "active", "canonId": "31361933-3d22-4c70-bbad-0801e9fffc0c", "version": 1, "description": "Color/symbol decoder placed adjacent to a chart or diagram." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:32.772+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "00ec00a8-c373-4c91-8bd1-210273695118", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Gross Capital Formation: $21T+", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:16:59+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f22-8f86896f683e", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.65, "x": 0.02, "y": 0.02 }, "kind": "title", "text": "China Gross Capital Formation = Slowing... Sum of Past 6 Years > Previous 30 Years", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:32.772+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "7df8a282-2547-4532-a40a-b85f944e3f36", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-e80f-72c8-9c63-673eb65824da", "evidence": "Headline says past 6 yrs > previous 30 yrs.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 85, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 25, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." }, { "tool": { "name": "Annotation", "slug": "annotation", "status": "active", "bestFor": null, "canonId": "019dd956-b5b9-7668-bf0e-3af99823ec5c", "version": 1, "bodyDocId": null, "description": "Adding explanatory labels to highlight key data points", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "019de7d7-e82f-748a-a6d5-71ce873ae011", "evidence": "Bracket annotation comparing two periods.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 25, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Waterfall chart", "slug": "waterfall-chart", "status": "active", "bestFor": null, "canonId": "e2799da3-725f-44a9-a093-570f1f388e64", "version": 1, "bodyDocId": null, "description": null, "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "f8e30287-26d6-42ed-a40a-97d87f0d1b50", "evidence": "The chart/bar-vertical shows the change in China Gross Capital Formation over time, which can be seen as a form of waterfall chart.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:00:16.765977+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 25, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 37, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 5, "name": "Situation & Context", "beatId": "019de7d7-df7b-76b3-8c4c-98c32793875a", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Global internet + macro trends establish baseline state.", "position": 1, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 37, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 6, "name": "The Facts (What)", "beatId": "019de7d7-e03c-735a-b728-fc03ed76149b", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Heavy chart-driven user/macro data.", "position": 1, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 33, "from": 18, "loop": { "name": "02_pattern_hunter", "slug": "02-pattern-hunter", "status": "active", "bestFor": "Time-pressed audiences, building consensus, when data is strong", "canonId": "019dd956-6695-771a-be2e-f1748ef041a4", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion", "description": "Group multiple pieces of evidence that together point to a pattern or conclusion", "familyLabel": null }, "matchId": "019de7d7-e104-7489-96f5-b4c949423bcb", "evidence": "Sequence of independent evidences (pp 19,21,23,25,29,30,32,33) converge on the slowdown pattern.", "position": 2, "objective": "Stack multiple macro signals (GDP, commodities, growth-engine shift, debt, rates) pointing to the same conclusion: macro slowdown", "confidence": 80, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 26, "type": "analysis", "title": "Uses a before-and-after visual comparison to illustrate macro-economic growth trends.", "function": "illustrate_case", "rawType": "industry_trends", "block": null, "metadata": { "slideType": "industry_trends", "slideTypeCanon": { "name": "Industry trends", "slug": "industry_trends", "status": "active", "canonId": "019de52d-0b1d-7705-a0e0-c663199cd1fa", "version": 1, "description": null }, "function": "illustrate_case", "functionCanon": { "name": "Illustrate case", "slug": "illustrate_case", "status": "active", "canonId": "019de52d-13b4-772c-bb73-1873612a7463", "version": 1, "description": null }, "density": "balanced", "densityScore": 33, "componentCount": 6, "textChars": 249, "nDataPoints": 0, "notes": "Uses a before-and-after visual comparison to illustrate macro-economic growth trends.", "elementsJson": [ "headline_text", "photo", "other" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:33.263+00", "seconds": 3.331, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/26", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-26", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.45, "w": 0.25, "x": 0.175, "y": 0.28 }, "kind": "diagram", "text": "Timeline connecting 1987 and 2016", "attrs": null, "canon": { "kind": { "name": "Diagram", "slug": "diagram", "status": "active", "canonId": "019de52c-f9f0-734a-81de-15382ff28c65", "version": 1, "description": "Schematic or relational diagram." }, "tool": null, "subkind": { "name": "Timeline", "slug": "timeline", "status": "active", "canonId": "019de52d-03c5-73fc-84aa-4180cbf0f5cf", "version": 1, "description": null }, "framework": null }, "subkind": "timeline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:33.263+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "421d21ee-a466-4d17-8eac-75d95fc24cf7", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.375, "x": 0.46, "y": 0.55 }, "kind": "image", "text": "2016 Shanghai Pudong", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Photo", "slug": "photo", "status": "active", "canonId": "019de52c-fd37-757f-b4a8-ca26d4888875", "version": 1, "description": null }, "framework": null }, "subkind": "photo", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:33.263+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "1be80649-5d36-41ed-b281-e00ec6ed6b33", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.375, "x": 0.46, "y": 0.19 }, "kind": "image", "text": "1987 Shanghai Pudong", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Photo", "slug": "photo", "status": "active", "canonId": "019de52c-fd37-757f-b4a8-ca26d4888875", "version": 1, "description": null }, "framework": null }, "subkind": "photo", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:33.263+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "aa8ed678-2b8e-4f95-9b2e-93ddc5d3f94b", "parentComponentId": null }, { "bbox": { "h": 0.02, "w": 0.2, "x": 0.1, "y": 0.95 }, "kind": "source-note", "text": "Source: Reuters/Stringer, Carlos Barria, Yichen Guo.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:33.263+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "18f9673c-fc20-4ed2-93a9-77f82420b87d", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.9, "x": 0.02, "y": 0.02 }, "kind": "title", "text": "Shanghai Area Over Past 2+ Decades = Illustrates Magnitude of China (& Emerging Asia) Growth", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:33.263+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "56de2ff5-7244-4c2b-878d-6921a57e555a", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.2, "x": 0.12, "y": 0.17 }, "kind": "title", "text": "Shanghai, China, Pudong District", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Subtitle", "slug": "subtitle", "status": "active", "canonId": "019de52c-fb09-739d-900c-815b0d9ac526", "version": 1, "description": null }, "framework": null }, "subkind": "subtitle", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:33.263+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "9c1819f8-c4db-4d92-bafd-97558665eda5", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Metaphor & Analogy", "slug": "metaphor-analogy", "status": "active", "bestFor": null, "canonId": "019dd956-adea-7729-bca1-70810d6238a9", "version": 1, "bodyDocId": null, "description": "Making abstract concepts concrete through familiar comparisons", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "019de7d7-e84e-7437-abca-663c7bbad3b1", "evidence": "Shanghai Pudong 1987 vs 2016 photo metaphor for scale.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 26, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Picture Superiority Effect", "slug": "picture-superiority-effect", "status": "active", "bestFor": null, "canonId": "019dd956-c201-7014-bb58-3e85e3e11dfd", "version": 1, "bodyDocId": null, "description": "Pictures remembered 6x better than words - prioritize visuals over text", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "019de7d7-e86e-76fb-9f7b-75b182ac4758", "evidence": "Visual photo pair beats text data.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 75, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 26, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [ { "matchId": "fcf7214d-c457-496f-a84d-7334f4a9e206", "evidence": "Visual comparison of the same location over two time periods to demonstrate growth.", "framework": null, "confidence": 1, "extraction": { "at": "2026-05-02 17:38:33.263+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 26, "frameworkName": "before-after-framing" } ], "arcBeats": [ { "to": 37, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 5, "name": "Situation & Context", "beatId": "019de7d7-df7b-76b3-8c4c-98c32793875a", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Global internet + macro trends establish baseline state.", "position": 1, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 37, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 6, "name": "The Facts (What)", "beatId": "019de7d7-e03c-735a-b728-fc03ed76149b", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Heavy chart-driven user/macro data.", "position": 1, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 33, "from": 18, "loop": { "name": "02_pattern_hunter", "slug": "02-pattern-hunter", "status": "active", "bestFor": "Time-pressed audiences, building consensus, when data is strong", "canonId": "019dd956-6695-771a-be2e-f1748ef041a4", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion", "description": "Group multiple pieces of evidence that together point to a pattern or conclusion", "familyLabel": null }, "matchId": "019de7d7-e104-7489-96f5-b4c949423bcb", "evidence": "Sequence of independent evidences (pp 19,21,23,25,29,30,32,33) converge on the slowdown pattern.", "position": 2, "objective": "Stack multiple macro signals (GDP, commodities, growth-engine shift, debt, rates) pointing to the same conclusion: macro slowdown", "confidence": 80, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 27, "type": "setup", "function": "summarize", "rawType": "thesis_headline", "block": null, "metadata": { "slideType": "thesis_headline", "slideTypeCanon": { "name": "Thesis headline", "slug": "thesis_headline", "status": "active", "canonId": "019de52d-073a-70cb-b9f6-772a597bb5af", "version": 1, "description": null }, "function": "summarize", "functionCanon": { "name": "Summarize", "slug": "summarize", "status": "active", "canonId": "019de52d-1541-704f-b86f-bf7b75056373", "version": 1, "description": null }, "density": "sparse", "densityScore": 6, "componentCount": 1, "textChars": 169, "nDataPoints": 0, "notes": null, "elementsJson": [ "headline_text" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:31.853+00", "seconds": 1.824, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/27", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-27", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.5, "w": 0.7, "x": 0.15, "y": 0.25 }, "kind": "title", "text": "Re-Imagination of China Over Past 3+ Decades – World’s Population Leader + #3 in Land Mass – Helped Drive Incremental Global Growth of Likes Which is Difficult to Repeat", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Action title", "slug": "action-title", "status": "active", "canonId": "019de52c-fb31-734c-a0f5-a3935b73135d", "version": 1, "description": null }, "framework": null }, "subkind": "action-title", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:31.853+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "05180890-0a82-4eb4-b391-1db33e577583", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 37, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 5, "name": "Situation & Context", "beatId": "019de7d7-df7b-76b3-8c4c-98c32793875a", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Global internet + macro trends establish baseline state.", "position": 1, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 37, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 6, "name": "The Facts (What)", "beatId": "019de7d7-e03c-735a-b728-fc03ed76149b", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Heavy chart-driven user/macro data.", "position": 1, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 33, "from": 18, "loop": { "name": "02_pattern_hunter", "slug": "02-pattern-hunter", "status": "active", "bestFor": "Time-pressed audiences, building consensus, when data is strong", "canonId": "019dd956-6695-771a-be2e-f1748ef041a4", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion", "description": "Group multiple pieces of evidence that together point to a pattern or conclusion", "familyLabel": null }, "matchId": "019de7d7-e104-7489-96f5-b4c949423bcb", "evidence": "Sequence of independent evidences (pp 19,21,23,25,29,30,32,33) converge on the slowdown pattern.", "position": 2, "objective": "Stack multiple macro signals (GDP, commodities, growth-engine shift, debt, rates) pointing to the same conclusion: macro slowdown", "confidence": 80, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 28, "type": "setup", "function": "establish_context", "rawType": "thesis_headline", "block": null, "metadata": { "slideType": "thesis_headline", "slideTypeCanon": { "name": "Thesis headline", "slug": "thesis_headline", "status": "active", "canonId": "019de52d-073a-70cb-b9f6-772a597bb5af", "version": 1, "description": null }, "function": "establish_context", "functionCanon": { "name": "Establish context", "slug": "establish_context", "status": "active", "canonId": "019de52d-1314-74e6-9074-d213dc0bdcdf", "version": 1, "description": null }, "density": "sparse", "densityScore": 5, "componentCount": 1, "textChars": 133, "nDataPoints": 0, "notes": null, "elementsJson": [ "headline_text" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:31.858+00", "seconds": 1.737, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/28", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-28", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.4, "w": 0.7, "x": 0.15, "y": 0.3 }, "kind": "title", "text": "Interest Rates Have Fallen to Historically Low Levels = \n\nInterest Rate Trends = \nCan be Indicative of \nPerception for Growth Outlook", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Action title", "slug": "action-title", "status": "active", "canonId": "019de52c-fb31-734c-a0f5-a3935b73135d", "version": 1, "description": null }, "framework": null }, "subkind": "action-title", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:31.858+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "db904ff9-fbd3-4671-81f6-c126775ac86d", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 37, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 5, "name": "Situation & Context", "beatId": "019de7d7-df7b-76b3-8c4c-98c32793875a", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Global internet + macro trends establish baseline state.", "position": 1, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 37, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 6, "name": "The Facts (What)", "beatId": "019de7d7-e03c-735a-b728-fc03ed76149b", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Heavy chart-driven user/macro data.", "position": 1, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 33, "from": 18, "loop": { "name": "02_pattern_hunter", "slug": "02-pattern-hunter", "status": "active", "bestFor": "Time-pressed audiences, building consensus, when data is strong", "canonId": "019dd956-6695-771a-be2e-f1748ef041a4", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion", "description": "Group multiple pieces of evidence that together point to a pattern or conclusion", "familyLabel": null }, "matchId": "019de7d7-e104-7489-96f5-b4c949423bcb", "evidence": "Sequence of independent evidences (pp 19,21,23,25,29,30,32,33) converge on the slowdown pattern.", "position": 2, "objective": "Stack multiple macro signals (GDP, commodities, growth-engine shift, debt, rates) pointing to the same conclusion: macro slowdown", "confidence": 80, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 29, "type": "analysis", "title": "The chart compares nominal yields (green) and real yields (blue) over time.", "function": "analyze_data", "rawType": "industry_trends", "block": null, "metadata": { "slideType": "industry_trends", "slideTypeCanon": { "name": "Industry trends", "slug": "industry_trends", "status": "active", "canonId": "019de52d-0b1d-7705-a0e0-c663199cd1fa", "version": 1, "description": null }, "function": "analyze_data", "functionCanon": { "name": "Analyze data", "slug": "analyze_data", "status": "active", "canonId": "019de52d-1590-7413-8c82-cc218cff40b4", "version": 1, "description": null }, "density": "balanced", "densityScore": 45, "componentCount": 6, "textChars": 410, "nDataPoints": 2, "notes": "The chart compares nominal yields (green) and real yields (blue) over time.", "elementsJson": [ "headline_text", "line_chart", "footnote" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:33.542+00", "seconds": 3.003, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/29", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-29", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.6, "w": 0.8, "x": 0.1, "y": 0.25 }, "kind": "chart", "text": "Line chart showing nominal and real yields", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Line chart", "slug": "line", "status": "active", "canonId": "019de52c-ff62-778f-8f6c-a952ceae8677", "version": 1, "description": null }, "framework": null }, "subkind": "line", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:33.542+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "7927a546-9ab1-48a0-81e7-86042955b65f", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.6, "x": 0.1, "y": 0.93 }, "kind": "disclaimer", "text": "Source: Morgan Stanley, Bloomberg, 5/16. Note: Real rates based on USGGT10Y Index on Bloomberg, which measures yield to maturity (pre-tax) on Generic 10-Year USA government inflation-index bonds.", "attrs": null, "canon": { "kind": { "name": "Disclaimer", "slug": "disclaimer", "status": "active", "canonId": "91173477-d91f-4024-bbaf-d4f93e3f82dc", "version": 1, "description": "Legal/cautionary text that occupies most of the body of its slide." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:33.542+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "c452853d-3ef7-4e44-b054-579ee1812b9e", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.5, "x": 0.25, "y": 0.85 }, "kind": "legend", "text": "Nominal Yield (%) / Real Yield (%)", "attrs": null, "canon": { "kind": { "name": "Legend", "slug": "legend", "status": "active", "canonId": "31361933-3d22-4c70-bbad-0801e9fffc0c", "version": 1, "description": "Color/symbol decoder placed adjacent to a chart or diagram." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:33.542+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "ae8a7d65-d6a6-46a1-a988-a6fd793b40ea", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "10-Year Treasury Yield", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:00+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f23-48d88914fa72", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.5, "x": 0.05, "y": 0.05 }, "kind": "title", "text": "USA 10-Year Treasury Yield = Low by Historical Standards", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:33.542+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "f7056d7b-d327-4bd8-aefc-005621f85ea9", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.7, "x": 0.15, "y": 0.17 }, "kind": "title", "text": "USA 10-Year Treasury Yields, Nominal and Real, 1962 – 2016YTD", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Subtitle", "slug": "subtitle", "status": "active", "canonId": "019de52c-fb09-739d-900c-815b0d9ac526", "version": 1, "description": null }, "framework": null }, "subkind": "subtitle", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:33.542+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "d6b30ddf-687a-4185-8f59-1f9039104c0e", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 37, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 5, "name": "Situation & Context", "beatId": "019de7d7-df7b-76b3-8c4c-98c32793875a", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Global internet + macro trends establish baseline state.", "position": 1, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 37, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 6, "name": "The Facts (What)", "beatId": "019de7d7-e03c-735a-b728-fc03ed76149b", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Heavy chart-driven user/macro data.", "position": 1, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 33, "from": 18, "loop": { "name": "02_pattern_hunter", "slug": "02-pattern-hunter", "status": "active", "bestFor": "Time-pressed audiences, building consensus, when data is strong", "canonId": "019dd956-6695-771a-be2e-f1748ef041a4", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion", "description": "Group multiple pieces of evidence that together point to a pattern or conclusion", "familyLabel": null }, "matchId": "019de7d7-e104-7489-96f5-b4c949423bcb", "evidence": "Sequence of independent evidences (pp 19,21,23,25,29,30,32,33) converge on the slowdown pattern.", "position": 2, "objective": "Stack multiple macro signals (GDP, commodities, growth-engine shift, debt, rates) pointing to the same conclusion: macro slowdown", "confidence": 80, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 30, "type": "analysis", "title": "The chart illustrates a long-term decline in real interest rates globally, with Italy showing significant volatility around 2012.", "function": "analyze_data", "rawType": "industry_trends", "block": null, "metadata": { "slideType": "industry_trends", "slideTypeCanon": { "name": "Industry trends", "slug": "industry_trends", "status": "active", "canonId": "019de52d-0b1d-7705-a0e0-c663199cd1fa", "version": 1, "description": null }, "function": "analyze_data", "functionCanon": { "name": "Analyze data", "slug": "analyze_data", "status": "active", "canonId": "019de52d-1590-7413-8c82-cc218cff40b4", "version": 1, "description": null }, "density": "dense", "densityScore": 50, "componentCount": 6, "textChars": 479, "nDataPoints": 7, "notes": "The chart illustrates a long-term decline in real interest rates globally, with Italy showing significant volatility around 2012.", "elementsJson": [ "headline_text", "line_chart" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:38.007+00", "seconds": 7.187, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/30", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-30", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.6, "w": 0.8, "x": 0.1, "y": 0.25 }, "kind": "chart", "text": "Line chart showing 10-year real sovereign bond yields for USA, Canada, UK, Japan, France, Germany, and Italy from 2001 to 2016.", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Line chart", "slug": "line", "status": "active", "canonId": "019de52c-ff62-778f-8f6c-a952ceae8677", "version": 1, "description": null }, "framework": null }, "subkind": "line", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:38.007+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "7c34013b-a959-4401-817f-abc501ebab04", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.7, "x": 0.15, "y": 0.83 }, "kind": "legend", "text": "USA, Canada, UK, Japan, France, Germany, Italy", "attrs": null, "canon": { "kind": { "name": "Legend", "slug": "legend", "status": "active", "canonId": "31361933-3d22-4c70-bbad-0801e9fffc0c", "version": 1, "description": "Color/symbol decoder placed adjacent to a chart or diagram." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:38.007+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "8ad9464e-f443-4b80-aa9d-adaae1b1572b", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "10-Year Real Sovereign Bond Yields", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:00+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f22-d5eedfc29a1d", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.5, "x": 0.1, "y": 0.94 }, "kind": "source-note", "text": "Source: Morgan Stanley, Bloomberg, 5/16. Note: Real rates based on yield to maturity on 10-year inflation-indexed treasury security for each country.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:38.007+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "8e356047-32b7-4368-85e9-d30cc8cff7b1", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.5, "x": 0.05, "y": 0.05 }, "kind": "title", "text": "Global 10-Year Treasury Yields = Have Trended Down", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Action title", "slug": "action-title", "status": "active", "canonId": "019de52c-fb31-734c-a0f5-a3935b73135d", "version": 1, "description": null }, "framework": null }, "subkind": "action-title", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:38.007+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "5d68f652-7a6d-4850-985f-03aabc9d1d53", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.8, "x": 0.1, "y": 0.18 }, "kind": "title", "text": "10-Year Real Sovereign Bond Yields (%), Various Countries, 2001 – 2016YTD", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:38.007+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "771f20eb-346e-442f-ab9a-2fe6378fe595", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 37, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 5, "name": "Situation & Context", "beatId": "019de7d7-df7b-76b3-8c4c-98c32793875a", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Global internet + macro trends establish baseline state.", "position": 1, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 37, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 6, "name": "The Facts (What)", "beatId": "019de7d7-e03c-735a-b728-fc03ed76149b", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Heavy chart-driven user/macro data.", "position": 1, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 33, "from": 18, "loop": { "name": "02_pattern_hunter", "slug": "02-pattern-hunter", "status": "active", "bestFor": "Time-pressed audiences, building consensus, when data is strong", "canonId": "019dd956-6695-771a-be2e-f1748ef041a4", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion", "description": "Group multiple pieces of evidence that together point to a pattern or conclusion", "familyLabel": null }, "matchId": "019de7d7-e104-7489-96f5-b4c949423bcb", "evidence": "Sequence of independent evidences (pp 19,21,23,25,29,30,32,33) converge on the slowdown pattern.", "position": 2, "objective": "Stack multiple macro signals (GDP, commodities, growth-engine shift, debt, rates) pointing to the same conclusion: macro slowdown", "confidence": 80, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 31, "type": "setup", "function": "establish_context", "rawType": "thesis_headline", "block": null, "metadata": { "slideType": "thesis_headline", "slideTypeCanon": { "name": "Thesis headline", "slug": "thesis_headline", "status": "active", "canonId": "019de52d-073a-70cb-b9f6-772a597bb5af", "version": 1, "description": null }, "function": "establish_context", "functionCanon": { "name": "Establish context", "slug": "establish_context", "status": "active", "canonId": "019de52d-1314-74e6-9074-d213dc0bdcdf", "version": 1, "description": null }, "density": "sparse", "densityScore": 3, "componentCount": 1, "textChars": 70, "nDataPoints": 0, "notes": null, "elementsJson": [ "headline_text" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:33.037+00", "seconds": 2.041, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/31", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-31", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.4, "w": 0.7, "x": 0.15, "y": 0.3 }, "kind": "title", "text": "Total Global Debt Loads Over 2 Decades = High & Rising Faster Than GDP", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Action title", "slug": "action-title", "status": "active", "canonId": "019de52c-fb31-734c-a0f5-a3935b73135d", "version": 1, "description": null }, "framework": null }, "subkind": "action-title", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:33.037+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "38863d2a-de8c-4539-ae3f-15b561251384", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 37, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 5, "name": "Situation & Context", "beatId": "019de7d7-df7b-76b3-8c4c-98c32793875a", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Global internet + macro trends establish baseline state.", "position": 1, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 37, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 6, "name": "The Facts (What)", "beatId": "019de7d7-e03c-735a-b728-fc03ed76149b", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Heavy chart-driven user/macro data.", "position": 1, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 33, "from": 18, "loop": { "name": "02_pattern_hunter", "slug": "02-pattern-hunter", "status": "active", "bestFor": "Time-pressed audiences, building consensus, when data is strong", "canonId": "019dd956-6695-771a-be2e-f1748ef041a4", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion", "description": "Group multiple pieces of evidence that together point to a pattern or conclusion", "familyLabel": null }, "matchId": "019de7d7-e104-7489-96f5-b4c949423bcb", "evidence": "Sequence of independent evidences (pp 19,21,23,25,29,30,32,33) converge on the slowdown pattern.", "position": 2, "objective": "Stack multiple macro signals (GDP, commodities, growth-engine shift, debt, rates) pointing to the same conclusion: macro slowdown", "confidence": 80, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 32, "type": "analysis", "title": "The chart illustrates the divergence between debt growth and GDP growth over two periods (2000-2007 and 2007-Q2:15).", "function": "analyze_data", "rawType": "data_table", "block": null, "metadata": { "slideType": "data_table", "slideTypeCanon": { "name": "Data table", "slug": "data_table", "status": "active", "canonId": "019de52d-0bbd-71b9-9918-417f904abbf8", "version": 1, "description": null }, "function": "analyze_data", "functionCanon": { "name": "Analyze data", "slug": "analyze_data", "status": "active", "canonId": "019de52d-1590-7413-8c82-cc218cff40b4", "version": 1, "description": null }, "density": "balanced", "densityScore": 42, "componentCount": 5, "textChars": 431, "nDataPoints": 24, "notes": "The chart illustrates the divergence between debt growth and GDP growth over two periods (2000-2007 and 2007-Q2:15).", "elementsJson": [ "bar_chart_stacked", "data_table" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:34.4+00", "seconds": 3.194, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/32", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-32", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.6, "w": 0.4, "x": 0.15, "y": 0.2 }, "kind": "chart", "text": "Global Debt By Type ($T, Constant 2014 FX), Q4:00 – Q2:15", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Stacked bar chart", "slug": "bar-stacked", "status": "active", "canonId": "019de52c-feec-74bf-9028-15b74f84f0a7", "version": 1, "description": null }, "framework": null }, "subkind": "bar-stacked", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:34.4+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "bf4a0024-eb42-462c-a367-9f7f647bc294", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Global Debt: $208T", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:02+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f24-4597030bf674", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.6, "x": 0.05, "y": 0.95 }, "kind": "source-note", "text": "Source: McKinsey Global Institute (3/16), IMF. *GDP growth rate based on constant prices and calculated as average of average growth rates across 50 countries from 2000-2007 and 2008-2015.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:34.4+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "042bb03b-501c-474f-a630-822fb8ff1b13", "parentComponentId": null }, { "bbox": { "h": 0.5, "w": 0.3, "x": 0.65, "y": 0.25 }, "kind": "table", "text": "Compound annual growth rate (%) table", "attrs": null, "canon": { "kind": { "name": "Table", "slug": "table", "status": "active", "canonId": "019de52c-f9c8-7148-8119-eaac9594cd28", "version": 1, "description": "Tabular data layout." }, "tool": null, "subkind": { "name": "Data table", "slug": "data", "status": "active", "canonId": "019de52d-02d5-75b8-8abf-88e92bf63569", "version": 1, "description": null }, "framework": null }, "subkind": "data", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:34.4+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "52c79af7-0a23-4a84-a5c8-07d680c76472", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.9, "x": 0.05, "y": 0.05 }, "kind": "title", "text": "Global Government Debt @ 66% Average Debt / GDP (2015) & Up... +9% Annually Over 8 Years vs. +2% GDP Growth* for 50 Major Countries", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:34.4+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "e72d4937-bad4-4d83-8e5d-12f87d41dcb9", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-e88d-7322-9616-4055b8f8d1f4", "evidence": "'+9% debt vs +2% GDP' insight in title.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 85, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 32, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." }, { "tool": { "name": "Chart Selection Guide", "slug": "chart-selection-guide", "status": "active", "bestFor": null, "canonId": "019dd956-b1a0-700b-ba17-0e16c4d5bcae", "version": 1, "bodyDocId": null, "description": "Choosing the right chart type for your data and message", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "019de7d7-e8f5-762a-87ed-88cec71309ed", "evidence": "Stacked bars + CAGR table.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 32, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 37, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 5, "name": "Situation & Context", "beatId": "019de7d7-df7b-76b3-8c4c-98c32793875a", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Global internet + macro trends establish baseline state.", "position": 1, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 37, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 6, "name": "The Facts (What)", "beatId": "019de7d7-e03c-735a-b728-fc03ed76149b", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Heavy chart-driven user/macro data.", "position": 1, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 33, "from": 18, "loop": { "name": "02_pattern_hunter", "slug": "02-pattern-hunter", "status": "active", "bestFor": "Time-pressed audiences, building consensus, when data is strong", "canonId": "019dd956-6695-771a-be2e-f1748ef041a4", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion", "description": "Group multiple pieces of evidence that together point to a pattern or conclusion", "familyLabel": null }, "matchId": "019de7d7-e104-7489-96f5-b4c949423bcb", "evidence": "Sequence of independent evidences (pp 19,21,23,25,29,30,32,33) converge on the slowdown pattern.", "position": 2, "objective": "Stack multiple macro signals (GDP, commodities, growth-engine shift, debt, rates) pointing to the same conclusion: macro slowdown", "confidence": 80, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 33, "type": "analysis", "title": "The chart uses a color-coded arrow on the right to indicate the direction of leveraging vs. deleveraging.", "function": "analyze_data", "rawType": "data_table", "block": null, "metadata": { "slideType": "data_table", "slideTypeCanon": { "name": "Data table", "slug": "data_table", "status": "active", "canonId": "019de52d-0bbd-71b9-9918-417f904abbf8", "version": 1, "description": null }, "function": "analyze_data", "functionCanon": { "name": "Analyze data", "slug": "analyze_data", "status": "active", "canonId": "019de52d-1590-7413-8c82-cc218cff40b4", "version": 1, "description": null }, "density": "balanced", "densityScore": 46, "componentCount": 5, "textChars": 511, "nDataPoints": 40, "notes": "The chart uses a color-coded arrow on the right to indicate the direction of leveraging vs. deleveraging.", "elementsJson": [ "headline_text", "scatter_plot", "footnote" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:33.685+00", "seconds": 2.398, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/33", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-33", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.75, "w": 0.95, "x": 0.05, "y": 0.15 }, "kind": "chart", "text": "Change in Real Economy Debt / GDP (%), 2007 – Q2:15", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Scatter plot", "slug": "scatter", "status": "active", "canonId": "019de52d-007d-72ec-8689-c79fb78e21a2", "version": 1, "description": null }, "framework": null }, "subkind": "scatter", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:33.685+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "7c73af29-9b98-498b-ae67-847cd8c213c1", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.9, "x": 0.05, "y": 0.92 }, "kind": "disclaimer", "text": "Source: McKinsey Global Institute (3/16). Debt includes that owed by households, non-financial corporates, and governments (i.e. excludes financial sector debt). *Country inclusion per McKinsey; includes top developed countries by GDP and representative geographic selection of emerging countries.", "attrs": null, "canon": { "kind": { "name": "Disclaimer", "slug": "disclaimer", "status": "active", "canonId": "91173477-d91f-4024-bbaf-d4f93e3f82dc", "version": 1, "description": "Legal/cautionary text that occupies most of the body of its slide." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:33.685+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "8cf5ec7f-74f2-4679-9c14-0af73e396892", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.2, "x": 0.12, "y": 0.25 }, "kind": "legend", "text": "Developed (orange dots), Emerging (blue dots)", "attrs": null, "canon": { "kind": { "name": "Legend", "slug": "legend", "status": "active", "canonId": "31361933-3d22-4c70-bbad-0801e9fffc0c", "version": 1, "description": "Color/symbol decoder placed adjacent to a chart or diagram." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:33.685+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "66207b9f-b67c-430c-bec8-f08cc60f4d94", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Debt-to-GDP ratio: 202%", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:00+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f23-6d0533ea5c46", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.9, "x": 0.05, "y": 0.02 }, "kind": "title", "text": "Total Debt-to-GDP Ratios = High & Up in Most Major Countries... @ 202% Average vs. 147% (2000)*", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Action title", "slug": "action-title", "status": "active", "canonId": "019de52c-fb31-734c-a0f5-a3935b73135d", "version": 1, "description": null }, "framework": null }, "subkind": "action-title", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:33.685+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "9e2f8247-5cb8-49cf-9bcd-f0f1565d7caf", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-e915-701a-b3f2-022258879a4c", "evidence": "Headline gives 202% vs 147% delta.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 80, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 33, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." }, { "tool": { "name": "Color Strategy", "slug": "color-strategy", "status": "active", "bestFor": null, "canonId": "019dd956-b202-77cf-8a6e-f445b08c0fd3", "version": 1, "bodyDocId": null, "description": "Using color for emphasis, categories, sentiment, and hierarchy", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "019de7d7-e934-768e-8709-80f9c1a563ee", "evidence": "Red=leveraging, green=deleveraging axis.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 33, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [ { "matchId": "019de7d7-fd6f-759c-b9cd-a4ff2d1c599e", "evidence": "Scatter plotting level vs change in debt-to-GDP.", "framework": null, "confidence": 60, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 33, "frameworkName": "NxN matrix (debt-to-GDP scatter)" } ], "arcBeats": [ { "to": 37, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 5, "name": "Situation & Context", "beatId": "019de7d7-df7b-76b3-8c4c-98c32793875a", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Global internet + macro trends establish baseline state.", "position": 1, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 37, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 6, "name": "The Facts (What)", "beatId": "019de7d7-e03c-735a-b728-fc03ed76149b", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Heavy chart-driven user/macro data.", "position": 1, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 33, "from": 18, "loop": { "name": "02_pattern_hunter", "slug": "02-pattern-hunter", "status": "active", "bestFor": "Time-pressed audiences, building consensus, when data is strong", "canonId": "019dd956-6695-771a-be2e-f1748ef041a4", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion", "description": "Group multiple pieces of evidence that together point to a pattern or conclusion", "familyLabel": null }, "matchId": "019de7d7-e104-7489-96f5-b4c949423bcb", "evidence": "Sequence of independent evidences (pp 19,21,23,25,29,30,32,33) converge on the slowdown pattern.", "position": 2, "objective": "Stack multiple macro signals (GDP, commodities, growth-engine shift, debt, rates) pointing to the same conclusion: macro slowdown", "confidence": 80, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 34, "type": "setup", "function": "transition", "rawType": "transition", "block": null, "metadata": { "slideType": "transition", "slideTypeCanon": { "name": "Transition", "slug": "transition", "status": "active", "canonId": "019de52d-0693-7766-9f05-887f41f8e41e", "version": 1, "description": null }, "function": "transition", "functionCanon": { "name": "Transition", "slug": "transition", "status": "active", "canonId": "019de52d-1365-7149-92aa-66df859e75fd", "version": 1, "description": null }, "density": "sparse", "densityScore": 3, "componentCount": 1, "textChars": 87, "nDataPoints": 0, "notes": null, "elementsJson": [ "headline_text" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:33.332+00", "seconds": 1.954, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/34", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-34", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.3, "w": 0.7, "x": 0.15, "y": 0.35 }, "kind": "title", "text": "Demographic Trends = Slowing Population Growth... Slowing Birthrates + Rising Lifespans", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:33.332+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "7dd43d8c-a31a-4551-9b61-e2de81dfb92c", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 37, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 5, "name": "Situation & Context", "beatId": "019de7d7-df7b-76b3-8c4c-98c32793875a", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Global internet + macro trends establish baseline state.", "position": 1, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 37, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 6, "name": "The Facts (What)", "beatId": "019de7d7-e03c-735a-b728-fc03ed76149b", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Heavy chart-driven user/macro data.", "position": 1, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 41, "from": 34, "loop": { "name": "27_cost_of_inaction", "slug": "27-cost-of-inaction", "status": "active", "bestFor": "Urgent budget requests, compliance, risk mitigation", "canonId": "019dd956-70d1-7395-a15b-857ba858b394", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Status Quo -> The Hidden Costs Accumulating -> The Future State of Inaction -> The Tipping Point", "description": "Quantify what happens if the audience does nothing", "familyLabel": null }, "matchId": "019de7d7-e126-71ea-a1ab-a10f86e56db8", "evidence": "pp 34-37 demographic decline -> p38 'Easy Growth Behind Us' -> p39 5 drivers losing mojo -> p41 internet as response.", "position": 3, "objective": "Show demographic + macro decay accumulating to 'easy growth behind us', flipping into urgency for innovation", "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 35, "type": "analysis", "title": "The chart uses a combination of bar charts for population size and a line chart for growth rate percentage.", "function": "analyze_data", "rawType": "industry_trends", "block": null, "metadata": { "slideType": "industry_trends", "slideTypeCanon": { "name": "Industry trends", "slug": "industry_trends", "status": "active", "canonId": "019de52d-0b1d-7705-a0e0-c663199cd1fa", "version": 1, "description": null }, "function": "analyze_data", "functionCanon": { "name": "Analyze data", "slug": "analyze_data", "status": "active", "canonId": "019de52d-1590-7413-8c82-cc218cff40b4", "version": 1, "description": null }, "density": "dense", "densityScore": 51, "componentCount": 7, "textChars": 292, "nDataPoints": 21, "notes": "The chart uses a combination of bar charts for population size and a line chart for growth rate percentage.", "elementsJson": [ "bar_chart_vertical", "line_chart" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:38.154+00", "seconds": 6.758, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/35", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-35", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.6, "w": 0.9, "x": 0.05, "y": 0.25 }, "kind": "chart", "text": "Global Population (B)", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Vertical bar chart", "slug": "bar-vertical", "status": "active", "canonId": "019de52c-fe9d-70f2-b3b7-a9ae294f5917", "version": 1, "description": null }, "framework": null }, "subkind": "bar-vertical", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:38.154+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "8c85f142-3656-4a23-88c5-bc853e54cace", "parentComponentId": null }, { "bbox": { "h": 0.6, "w": 0.9, "x": 0.05, "y": 0.25 }, "kind": "chart", "text": "Y/Y Growth (%)", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Line chart", "slug": "line", "status": "active", "canonId": "019de52c-ff62-778f-8f6c-a952ceae8677", "version": 1, "description": null }, "framework": null }, "subkind": "line", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:38.154+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "8a3858cf-f665-4d9d-892f-c2bf5988f8cf", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.3, "x": 0.1, "y": 0.95 }, "kind": "disclaimer", "text": "Source: U.N. Population Division. Note: Growth Rates based on CAGRs over 5 Year Periods.", "attrs": null, "canon": { "kind": { "name": "Disclaimer", "slug": "disclaimer", "status": "active", "canonId": "91173477-d91f-4024-bbaf-d4f93e3f82dc", "version": 1, "description": "Legal/cautionary text that occupies most of the body of its slide." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:38.154+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "dd69dfb4-ba6a-40f5-8996-3669d668ccc9", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.5, "x": 0.25, "y": 0.84 }, "kind": "legend", "text": "Global Population (B) / Y/Y Growth (%)", "attrs": null, "canon": { "kind": { "name": "Legend", "slug": "legend", "status": "active", "canonId": "31361933-3d22-4c70-bbad-0801e9fffc0c", "version": 1, "description": "Color/symbol decoder placed adjacent to a chart or diagram." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:38.154+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "6576075b-5700-45c0-bc54-cf5236e35a67", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Y/Y Growth Rate: +1.2%", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:00+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f23-8700cec335e5", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.6, "x": 0.02, "y": 0.02 }, "kind": "title", "text": "World Population Growth Rate Slowing = +1.2% vs. +2.0% (1975)", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Action title", "slug": "action-title", "status": "active", "canonId": "019de52c-fb31-734c-a0f5-a3935b73135d", "version": 1, "description": null }, "framework": null }, "subkind": "action-title", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:38.154+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "aacf3d9c-7dff-4868-86cd-985a86477b17", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.5, "x": 0.25, "y": 0.15 }, "kind": "title", "text": "Global Population and Y/Y % Growth, 1950 – 2050E", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:38.154+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "5d80b68d-b992-4d35-b20d-f84e40d3c378", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 37, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 5, "name": "Situation & Context", "beatId": "019de7d7-df7b-76b3-8c4c-98c32793875a", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Global internet + macro trends establish baseline state.", "position": 1, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 37, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 6, "name": "The Facts (What)", "beatId": "019de7d7-e03c-735a-b728-fc03ed76149b", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Heavy chart-driven user/macro data.", "position": 1, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 41, "from": 34, "loop": { "name": "27_cost_of_inaction", "slug": "27-cost-of-inaction", "status": "active", "bestFor": "Urgent budget requests, compliance, risk mitigation", "canonId": "019dd956-70d1-7395-a15b-857ba858b394", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Status Quo -> The Hidden Costs Accumulating -> The Future State of Inaction -> The Tipping Point", "description": "Quantify what happens if the audience does nothing", "familyLabel": null }, "matchId": "019de7d7-e126-71ea-a1ab-a10f86e56db8", "evidence": "pp 34-37 demographic decline -> p38 'Easy Growth Behind Us' -> p39 5 drivers losing mojo -> p41 internet as response.", "position": 3, "objective": "Show demographic + macro decay accumulating to 'easy growth behind us', flipping into urgency for innovation", "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 36, "type": "analysis", "title": "Data source: World Bank World Development Indicators. Part of KPCB Internet Trends 2016 deck.", "function": "analyze_data", "rawType": "industry_trends", "block": null, "metadata": { "slideType": "industry_trends", "slideTypeCanon": { "name": "Industry trends", "slug": "industry_trends", "status": "active", "canonId": "019de52d-0b1d-7705-a0e0-c663199cd1fa", "version": 1, "description": null }, "function": "analyze_data", "functionCanon": { "name": "Analyze data", "slug": "analyze_data", "status": "active", "canonId": "019de52d-1590-7413-8c82-cc218cff40b4", "version": 1, "description": null }, "density": "balanced", "densityScore": 37, "componentCount": 5, "textChars": 381, "nDataPoints": 8, "notes": "Data source: World Bank World Development Indicators. Part of KPCB Internet Trends 2016 deck.", "elementsJson": [ "headline_text", "line_chart" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:39.389+00", "seconds": 7.813, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/36", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-36", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.7, "w": 0.9, "x": 0.05, "y": 0.15 }, "kind": "chart", "text": "Birth Rates per 1,000 People per Year, By Region, 1960 – 2014", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Line chart", "slug": "line", "status": "active", "canonId": "019de52c-ff62-778f-8f6c-a952ceae8677", "version": 1, "description": null }, "framework": null }, "subkind": "line", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:39.389+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "a5f55196-b261-4eec-acd1-8e1874b91787", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.7, "x": 0.15, "y": 0.83 }, "kind": "legend", "text": "World, USA, China, India, Europe / Central Asia, East Asia / Pacific, Middle East / North Africa, Sub-Saharan Africa", "attrs": null, "canon": { "kind": { "name": "Legend", "slug": "legend", "status": "active", "canonId": "31361933-3d22-4c70-bbad-0801e9fffc0c", "version": 1, "description": "Color/symbol decoder placed adjacent to a chart or diagram." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:39.389+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "1f1ba058-8e8d-42ac-a761-8f74d2d558f5", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Birth rate per 1,000 people: 39%", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:02+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f23-e19e0bbf7dec", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.3, "x": 0.02, "y": 0.95 }, "kind": "source-note", "text": "Source: World Bank World Development Indicators. Note: Represents birth rates per 1,000 people per year.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:39.389+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "9ba493cc-9f6c-4723-a96e-7f855cd2b4e1", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.96, "x": 0.02, "y": 0.02 }, "kind": "title", "text": "Global Birth Rates = Down 39% Since 1960 (1% Annual Average Decline)", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Action title", "slug": "action-title", "status": "active", "canonId": "019de52c-fb31-734c-a0f5-a3935b73135d", "version": 1, "description": null }, "framework": null }, "subkind": "action-title", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:39.389+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "4b52a675-11f6-4730-9f6b-68e1c7c68ceb", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 37, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 5, "name": "Situation & Context", "beatId": "019de7d7-df7b-76b3-8c4c-98c32793875a", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Global internet + macro trends establish baseline state.", "position": 1, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 37, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 6, "name": "The Facts (What)", "beatId": "019de7d7-e03c-735a-b728-fc03ed76149b", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Heavy chart-driven user/macro data.", "position": 1, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 41, "from": 34, "loop": { "name": "27_cost_of_inaction", "slug": "27-cost-of-inaction", "status": "active", "bestFor": "Urgent budget requests, compliance, risk mitigation", "canonId": "019dd956-70d1-7395-a15b-857ba858b394", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Status Quo -> The Hidden Costs Accumulating -> The Future State of Inaction -> The Tipping Point", "description": "Quantify what happens if the audience does nothing", "familyLabel": null }, "matchId": "019de7d7-e126-71ea-a1ab-a10f86e56db8", "evidence": "pp 34-37 demographic decline -> p38 'Easy Growth Behind Us' -> p39 5 drivers losing mojo -> p41 internet as response.", "position": 3, "objective": "Show demographic + macro decay accumulating to 'easy growth behind us', flipping into urgency for innovation", "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 37, "type": "analysis", "title": "The chart tracks global life expectancy trends across various regions and countries over a 54-year period.", "function": "analyze_data", "rawType": "industry_trends", "block": null, "metadata": { "slideType": "industry_trends", "slideTypeCanon": { "name": "Industry trends", "slug": "industry_trends", "status": "active", "canonId": "019de52d-0b1d-7705-a0e0-c663199cd1fa", "version": 1, "description": null }, "function": "analyze_data", "functionCanon": { "name": "Analyze data", "slug": "analyze_data", "status": "active", "canonId": "019de52d-1590-7413-8c82-cc218cff40b4", "version": 1, "description": null }, "density": "balanced", "densityScore": 45, "componentCount": 6, "textChars": 378, "nDataPoints": 8, "notes": "The chart tracks global life expectancy trends across various regions and countries over a 54-year period.", "elementsJson": [ "headline_text", "line_chart", "footnote" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:34.445+00", "seconds": 2.85, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/37", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-37", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.55, "w": 0.78, "x": 0.12, "y": 0.23 }, "kind": "chart", "text": "Line chart showing life expectancy trends by region", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Line chart", "slug": "line", "status": "active", "canonId": "019de52c-ff62-778f-8f6c-a952ceae8677", "version": 1, "description": null }, "framework": null }, "subkind": "line", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:34.445+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "17fae267-f913-46ce-8a68-5f38244f1035", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.78, "x": 0.12, "y": 0.82 }, "kind": "list", "text": "World, USA, China, India, Europe / Central Asia, East Asia / Pacific, Middle East / North Africa, Sub-Saharan Africa", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:34.445+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "fbfe4891-90c7-4588-b887-3c63e9674a0d", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Life Expectancy: 72", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:05+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f25-7d3fab8026bb", "parentComponentId": null }, { "bbox": { "h": 0.02, "w": 0.2, "x": 0.1, "y": 0.95 }, "kind": "source-note", "text": "Source: World Bank World Development Indicators", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:34.445+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "f06d868d-887b-4abc-b71d-3a28106cee16", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.96, "x": 0.02, "y": 0.02 }, "kind": "title", "text": "Global Life Expectancy @ 72 Years = Up 36% Since 1960 (0.6% Annual Average Increase)", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:34.445+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "6f348246-1264-4c23-b153-29d92677a2d2", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.64, "x": 0.18, "y": 0.18 }, "kind": "title", "text": "Life Expectancy (Years, Both Genders), By Region, 1960 – 2014", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Subtitle", "slug": "subtitle", "status": "active", "canonId": "019de52c-fb09-739d-900c-815b0d9ac526", "version": 1, "description": null }, "framework": null }, "subkind": "subtitle", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:34.445+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "e8d94db1-e0cb-404a-b475-a40e1862cfe8", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 37, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 5, "name": "Situation & Context", "beatId": "019de7d7-df7b-76b3-8c4c-98c32793875a", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Global internet + macro trends establish baseline state.", "position": 1, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 37, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 6, "name": "The Facts (What)", "beatId": "019de7d7-e03c-735a-b728-fc03ed76149b", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Heavy chart-driven user/macro data.", "position": 1, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 41, "from": 34, "loop": { "name": "27_cost_of_inaction", "slug": "27-cost-of-inaction", "status": "active", "bestFor": "Urgent budget requests, compliance, risk mitigation", "canonId": "019dd956-70d1-7395-a15b-857ba858b394", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Status Quo -> The Hidden Costs Accumulating -> The Future State of Inaction -> The Tipping Point", "description": "Quantify what happens if the audience does nothing", "familyLabel": null }, "matchId": "019de7d7-e126-71ea-a1ab-a10f86e56db8", "evidence": "pp 34-37 demographic decline -> p38 'Easy Growth Behind Us' -> p39 5 drivers losing mojo -> p41 internet as response.", "position": 3, "objective": "Show demographic + macro decay accumulating to 'easy growth behind us', flipping into urgency for innovation", "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 38, "type": "setup", "function": "summarize", "rawType": "thesis_headline", "block": null, "metadata": { "slideType": "thesis_headline", "slideTypeCanon": { "name": "Thesis headline", "slug": "thesis_headline", "status": "active", "canonId": "019de52d-073a-70cb-b9f6-772a597bb5af", "version": 1, "description": null }, "function": "summarize", "functionCanon": { "name": "Summarize", "slug": "summarize", "status": "active", "canonId": "019de52d-1541-704f-b86f-bf7b75056373", "version": 1, "description": null }, "density": "sparse", "densityScore": 3, "componentCount": 1, "textChars": 87, "nDataPoints": 0, "notes": null, "elementsJson": [ "headline_text" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:33.922+00", "seconds": 2.256, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/38", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-38", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.4, "w": 0.7, "x": 0.15, "y": 0.3 }, "kind": "title", "text": "Net, Net, Economic Growth Slowing + Margins for Error Declining = Easy Growth Behind Us", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:33.922+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "2de22b88-a9a0-4621-a01e-2c6f6d317cc8", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Big Idea Formula", "slug": "big-idea-formula", "status": "active", "bestFor": "Any narrative-driven persuasive deck whose job is to move the audience: keynotes, fundraising pitches, capital-allocation board asks, all-hands behaviour-change talks, conference talks meant to shift mental models. Use it before structuring; pair with Pyramid when the deck must also withstand line-by-line scrutiny.", "canonId": "019dd956-7dd1-74d7-9866-ffdef19ecfbf", "version": 1, "bodyDocId": "c30d7484-69e0-4e21-82cf-20fa0966869e", "description": "Nancy Duarte's articulation of how to frame a presentation's central message: the speaker's unique point of view plus what's at stake for the audience, expressed as one complete declarative sentence. The narrative-driven counterpart to Minto's analytical governing thought.", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Storyteller", "layer": "block", "agents": [ "Storyteller" ], "matchId": "019de7d7-e9d8-77ec-a84b-3f979204b412", "evidence": "Big idea: easy growth gone, error margin shrinking.", "pageRefs": null, "priority": "Core", "whenToUse": "Any narrative-driven persuasive deck whose job is to move the audience: keynotes, fundraising pitches, capital-allocation board asks, all-hands behaviour-change talks, conference talks meant to shift mental models. Use it before structuring; pair with Pyramid when the deck must also withstand line-by-line scrutiny.", "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 38, "whyItWorks": "Solves the topic-not-thesis trap and the stake-less recommendation trap simultaneously. A single declarative sentence with a verb forces the speaker's stance into the room; routing the consequence through the word 'you' translates internal urgency into the audience's currency. The result is short enough to be repeated after the meeting — and that repetition is the persuasion mechanism.", "antipattern": "A topic dressed as a thesis ('Sustainability Roadmap 2026'), a stake attached to the speaker rather than the audience, two ideas spliced with 'and', abstract verbs (leverage / unlock / empower) that survive deletion, or writing the Big Idea after the deck is already built so the slides don't actually defend it.", "cardinality": null, "narrativePurpose": "Forces the deck to commit to a single declarative thesis before slide one — a sentence that names the speaker's stance and routes a consequence through the audience's currency. Acts as the filter every slide, anecdote, and chart must ladder up to." }, { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-e954-70d7-92f5-adb59c58b67b", "evidence": "'Easy Growth Behind Us' is the synthesis.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 92, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 38, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." }, { "tool": { "name": "Core Message Extraction", "slug": "core-message-extraction", "status": "active", "bestFor": "Any slide that carries an argument or finding. The diagnostic: if the slide has a chart on it, it needs a core message. Run extraction whenever the current title is a topic (Q3 performance, Customer satisfaction) rather than a claim, or when a reader could reasonably draw more than one conclusion from the visible evidence.", "canonId": "019dd956-bc71-707d-8867-1b2e810175cf", "version": 1, "bodyDocId": "f85613cb-4b77-462f-bfe6-3b862516e1a6", "description": "The discipline of distilling raw analysis, data, or content into a single declarative sentence — the slide's core message — that the audience would walk away with if they remembered nothing else. Process, not artefact: extraction questions run on the raw content until one sentence falls out.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-e9b9-7268-b521-1280e5eda3a9", "evidence": "Single line distills entire macro section.", "pageRefs": null, "priority": null, "whenToUse": "Any slide that carries an argument or finding. The diagnostic: if the slide has a chart on it, it needs a core message. Run extraction whenever the current title is a topic (Q3 performance, Customer satisfaction) rather than a claim, or when a reader could reasonably draw more than one conclusion from the visible evidence.", "confidence": 85, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 38, "whyItWorks": "Solves the two failure modes of slide writing simultaneously: the topic title (which outsources interpretation to the audience and produces three different conclusions in three different heads) and the multi-thesis stapler (which exceeds working memory and gets remembered as fragments). Aligns with how readers actually consume decks — Heath & Heath's Find the Core, the journalist's nut graf, and Minto's governing thought all converge on the same cognitive economics.", "antipattern": "Topic titles disguised as core messages (Customer satisfaction, no verb, no stake); multi-thesis sentences stapled with and; hedged sentences (may show signs of possible softening); chart-caption titles (Revenue fell 4%) that restate what the chart already shows instead of naming the so-what; meta-commentary (this slide explores...) that describes the slide rather than concluding it.", "cardinality": null, "narrativePurpose": "Forces the slide author to do the interpretive work before the slide ships, so the audience does not have to do it during the meeting. Wins the WYSIATI battle on purpose — the loudest fragment on the page becomes the author's chosen sentence rather than whichever chart label happens to be largest." } ], "frameworks": [], "arcBeats": [ { "to": 41, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 38, "name": "Problem & Complication", "beatId": "019de7d7-df9d-7324-a350-204551b07459", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "'Easy Growth Behind Us' / '5 Epic Growth Drivers Losing Mojo'.", "position": 2, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 41, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 38, "name": "The Implications (So What)", "beatId": "019de7d7-e05b-76ee-a06a-e41c3fd6c2f2", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Synthesis: rising risks, internet at core of response.", "position": 2, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 41, "from": 34, "loop": { "name": "27_cost_of_inaction", "slug": "27-cost-of-inaction", "status": "active", "bestFor": "Urgent budget requests, compliance, risk mitigation", "canonId": "019dd956-70d1-7395-a15b-857ba858b394", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Status Quo -> The Hidden Costs Accumulating -> The Future State of Inaction -> The Tipping Point", "description": "Quantify what happens if the audience does nothing", "familyLabel": null }, "matchId": "019de7d7-e126-71ea-a1ab-a10f86e56db8", "evidence": "pp 34-37 demographic decline -> p38 'Easy Growth Behind Us' -> p39 5 drivers losing mojo -> p41 internet as response.", "position": 3, "objective": "Show demographic + macro decay accumulating to 'easy growth behind us', flipping into urgency for innovation", "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 39, "type": "analysis", "title": "This slide is from the KPCB Internet Trends 2016 deck, summarizing macroeconomic headwinds.", "function": "summarize", "rawType": "industry_trends", "block": null, "metadata": { "slideType": "industry_trends", "slideTypeCanon": { "name": "Industry trends", "slug": "industry_trends", "status": "active", "canonId": "019de52d-0b1d-7705-a0e0-c663199cd1fa", "version": 1, "description": null }, "function": "summarize", "functionCanon": { "name": "Summarize", "slug": "summarize", "status": "active", "canonId": "019de52d-1541-704f-b86f-bf7b75056373", "version": 1, "description": null }, "density": "balanced", "densityScore": 42, "componentCount": 3, "textChars": 873, "nDataPoints": 10, "notes": "This slide is from the KPCB Internet Trends 2016 deck, summarizing macroeconomic headwinds.", "elementsJson": [ "headline_text", "numbered_list" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:34.223+00", "seconds": 2.434, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/39", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-39", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.7, "w": 0.9, "x": 0.07, "y": 0.15 }, "kind": "list", "text": "1) Connectivity Growth Slowing – Internet Users rose to 3B from 35MM (1995)\n2) Emerging Country Growth Slowing – Underdeveloped regions developed – including China / Emerging Asia / Middle East which rose to 69% of global GDP growth from 43%...\n3) Government Debt Rising (& High) – Spending rose to help support growth...Government debt-to-GDP rose to 66% from 51% (2000) for 50 major economies\n4) Interest Rates Have Declined – Helped fuel borrowing – USA 10-Year Nominal Treasury Yield fell to 1.9% (2016) from 6.6% (1995)\n5) Population Growth Rate Slowing & Population Aging – Higher birth rates helped drive labor force growth – population growth rate continued to fall – to 1.2% from 1.6% (1995)", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Numbered list", "slug": "numbered", "status": "active", "canonId": "019de52c-fcc0-7718-a284-a4250c805df2", "version": 1, "description": null }, "framework": null }, "subkind": "numbered", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:34.223+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "2cbf029c-0500-427d-8b4b-47b67a487270", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.4, "x": 0.1, "y": 0.95 }, "kind": "source-note", "text": "Source: US Census, ITU, IMF, Stephen Roach, McKinsey, Bloomberg, US Bureau of Labor Statistics, UN Population Division", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:34.223+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "fab586a3-a643-41bb-ad28-27aa0ebfeb3c", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.7, "x": 0.02, "y": 0.02 }, "kind": "title", "text": "5 Epic Growth Drivers Over Past 2 Decades = Losing Mojo", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:34.223+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "6772b858-6c57-4825-bf31-ed348539aff4", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Three Pillars", "slug": "three-pillars", "status": "active", "bestFor": null, "canonId": "019dd956-81ef-7455-a365-b234d95a6bbb", "version": 1, "bodyDocId": null, "description": "Three major supporting arguments that are MECE and address key concerns", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Architect", "layer": "block", "agents": [ "Architect" ], "matchId": "019de7d7-ea17-770f-9a1a-a8823cfea2c4", "evidence": "Numbered drivers as pillar list.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 55, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 39, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-e9f8-75ad-8553-577fec396141", "evidence": "'5 Epic Growth Drivers Losing Mojo'.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 90, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 39, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." } ], "frameworks": [], "arcBeats": [ { "to": 41, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 38, "name": "Problem & Complication", "beatId": "019de7d7-df9d-7324-a350-204551b07459", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "'Easy Growth Behind Us' / '5 Epic Growth Drivers Losing Mojo'.", "position": 2, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 41, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 38, "name": "The Implications (So What)", "beatId": "019de7d7-e05b-76ee-a06a-e41c3fd6c2f2", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Synthesis: rising risks, internet at core of response.", "position": 2, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 41, "from": 34, "loop": { "name": "27_cost_of_inaction", "slug": "27-cost-of-inaction", "status": "active", "bestFor": "Urgent budget requests, compliance, risk mitigation", "canonId": "019dd956-70d1-7395-a15b-857ba858b394", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Status Quo -> The Hidden Costs Accumulating -> The Future State of Inaction -> The Tipping Point", "description": "Quantify what happens if the audience does nothing", "familyLabel": null }, "matchId": "019de7d7-e126-71ea-a1ab-a10f86e56db8", "evidence": "pp 34-37 demographic decline -> p38 'Easy Growth Behind Us' -> p39 5 drivers losing mojo -> p41 internet as response.", "position": 3, "objective": "Show demographic + macro decay accumulating to 'easy growth behind us', flipping into urgency for innovation", "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 40, "type": "analysis", "title": "The chart illustrates market performance indexed to 100% at the start of 1993.", "function": "analyze_data", "rawType": "industry_trends", "block": null, "metadata": { "slideType": "industry_trends", "slideTypeCanon": { "name": "Industry trends", "slug": "industry_trends", "status": "active", "canonId": "019de52d-0b1d-7705-a0e0-c663199cd1fa", "version": 1, "description": null }, "function": "analyze_data", "functionCanon": { "name": "Analyze data", "slug": "analyze_data", "status": "active", "canonId": "019de52d-1590-7413-8c82-cc218cff40b4", "version": 1, "description": null }, "density": "balanced", "densityScore": 48, "componentCount": 6, "textChars": 456, "nDataPoints": 4, "notes": "The chart illustrates market performance indexed to 100% at the start of 1993.", "elementsJson": [ "headline_text", "line_chart" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:34.393+00", "seconds": 2.508, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/40", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-40", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.6, "w": 0.8, "x": 0.1, "y": 0.25 }, "kind": "chart", "text": "Line chart showing S&P 500, NASDAQ, China Shanghai Composite, and MSCI Europe performance over time.", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Line chart", "slug": "line", "status": "active", "canonId": "019de52c-ff62-778f-8f6c-a952ceae8677", "version": 1, "description": null }, "framework": null }, "subkind": "line", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:34.393+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "ac020b54-9f4d-400b-a5fa-15af805819ce", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.4, "x": 0.02, "y": 0.95 }, "kind": "disclaimer", "text": "Source: Capital IQ. Note: All values are indexed to 1 (100%) on Jan 1, 1993. Data as of 5/27/16.", "attrs": null, "canon": { "kind": { "name": "Disclaimer", "slug": "disclaimer", "status": "active", "canonId": "91173477-d91f-4024-bbaf-d4f93e3f82dc", "version": 1, "description": "Legal/cautionary text that occupies most of the body of its slide." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:34.393+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "4b02f89a-8272-4aff-8f06-c176445ca294", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.7, "x": 0.15, "y": 0.85 }, "kind": "legend", "text": "S&P 500 (Green), NASDAQ (Red), China Shanghai Composite (Purple), MSCI Europe (Blue)", "attrs": null, "canon": { "kind": { "name": "Legend", "slug": "legend", "status": "active", "canonId": "31361933-3d22-4c70-bbad-0801e9fffc0c", "version": 1, "description": "Color/symbol decoder placed adjacent to a chart or diagram." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:34.393+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "f78fa96b-47d7-448d-88df-e690320a0970", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Index Value", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:02+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f24-690b74f1d01a", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.7, "x": 0.02, "y": 0.02 }, "kind": "title", "text": "Several Up / Down Cycles in Past 2 Decades = Internet 1.0 (2000)...Property / Credit (2008)...", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:34.393+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "c270ed98-c8cb-4cc9-99b5-7d71a299e002", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.8, "x": 0.1, "y": 0.16 }, "kind": "title", "text": "Stock / Commodity Markets Performance (% Change From 1/93), 1/93 – 5/16", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Subtitle", "slug": "subtitle", "status": "active", "canonId": "019de52c-fb09-739d-900c-815b0d9ac526", "version": 1, "description": null }, "framework": null }, "subkind": "subtitle", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:34.393+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "d18269e8-15f6-4d7d-b5d9-9934901d66ac", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 41, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 38, "name": "Problem & Complication", "beatId": "019de7d7-df9d-7324-a350-204551b07459", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "'Easy Growth Behind Us' / '5 Epic Growth Drivers Losing Mojo'.", "position": 2, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 41, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 38, "name": "The Implications (So What)", "beatId": "019de7d7-e05b-76ee-a06a-e41c3fd6c2f2", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Synthesis: rising risks, internet at core of response.", "position": 2, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 41, "from": 34, "loop": { "name": "27_cost_of_inaction", "slug": "27-cost-of-inaction", "status": "active", "bestFor": "Urgent budget requests, compliance, risk mitigation", "canonId": "019dd956-70d1-7395-a15b-857ba858b394", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Status Quo -> The Hidden Costs Accumulating -> The Future State of Inaction -> The Tipping Point", "description": "Quantify what happens if the audience does nothing", "familyLabel": null }, "matchId": "019de7d7-e126-71ea-a1ab-a10f86e56db8", "evidence": "pp 34-37 demographic decline -> p38 'Easy Growth Behind Us' -> p39 5 drivers losing mojo -> p41 internet as response.", "position": 3, "objective": "Show demographic + macro decay accumulating to 'easy growth behind us', flipping into urgency for innovation", "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 41, "type": "setup", "function": "summarize", "rawType": "thesis_headline", "block": null, "metadata": { "slideType": "thesis_headline", "slideTypeCanon": { "name": "Thesis headline", "slug": "thesis_headline", "status": "active", "canonId": "019de52d-073a-70cb-b9f6-772a597bb5af", "version": 1, "description": null }, "function": "summarize", "functionCanon": { "name": "Summarize", "slug": "summarize", "status": "active", "canonId": "019de52d-1541-704f-b86f-bf7b75056373", "version": 1, "description": null }, "density": "sparse", "densityScore": 11, "componentCount": 2, "textChars": 254, "nDataPoints": 0, "notes": null, "elementsJson": [ "paragraph" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:35.936+00", "seconds": 4.029, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/41", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-41", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "Internet Can Be @ Core of This...", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:02+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f24-3129d00760af", "parentComponentId": null }, { "bbox": { "h": 0.6, "w": 0.7, "x": 0.15, "y": 0.2 }, "kind": "title", "text": "Adjusting to Slower Growth + Higher Debt + Aging Population Creates Rising Risks... Creates Opportunities for Businesses that Innovate / Increase Efficiency / Lower Prices / Create Jobs – Internet Can Be @ Core of This...", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Action title", "slug": "action-title", "status": "active", "canonId": "019de52c-fb31-734c-a0f5-a3935b73135d", "version": 1, "description": null }, "framework": null }, "subkind": "action-title", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:35.936+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "b6ca9985-d48c-4e41-abbd-81567f1044a5", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Before-After-Bridge", "slug": "before-after-bridge", "status": "active", "bestFor": null, "canonId": "019dd956-8604-7188-883f-42370288ad05", "version": 1, "bodyDocId": null, "description": "Narrative structure: Paint the before, show the after, explain the bridge", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Storyteller", "layer": "block", "agents": [ "Storyteller" ], "matchId": "019de7d7-ea57-7779-85a9-46df32b214f5", "evidence": "Bridges from 'rising risks' (problem) to 'internet at core' (solution).", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 41, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "The Turn", "slug": "the-turn", "status": "active", "bestFor": null, "canonId": "019dd956-a2b1-7787-8ff6-60ba7e50b814", "version": 1, "bodyDocId": null, "description": "Pivotal moment where perspective shifts or insight emerges", "familyLabel": null, "categoryName": "Loop", "categorySlug": "loop" }, "agent": "Storyteller", "layer": "loop", "agents": [ "Storyteller" ], "matchId": "019de7d7-ea75-74ef-ba61-b1f6b7e14d8d", "evidence": "Pivot from problem framing to solution framing.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 41, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-ea38-70b6-9075-9c068825bc1c", "evidence": "Action title pivots to opportunity for innovators.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 90, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 41, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." } ], "frameworks": [], "arcBeats": [ { "to": 41, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 38, "name": "Problem & Complication", "beatId": "019de7d7-df9d-7324-a350-204551b07459", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "'Easy Growth Behind Us' / '5 Epic Growth Drivers Losing Mojo'.", "position": 2, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 41, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 38, "name": "The Implications (So What)", "beatId": "019de7d7-e05b-76ee-a06a-e41c3fd6c2f2", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Synthesis: rising risks, internet at core of response.", "position": 2, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 41, "from": 34, "loop": { "name": "27_cost_of_inaction", "slug": "27-cost-of-inaction", "status": "active", "bestFor": "Urgent budget requests, compliance, risk mitigation", "canonId": "019dd956-70d1-7395-a15b-857ba858b394", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Status Quo -> The Hidden Costs Accumulating -> The Future State of Inaction -> The Tipping Point", "description": "Quantify what happens if the audience does nothing", "familyLabel": null }, "matchId": "019de7d7-e126-71ea-a1ab-a10f86e56db8", "evidence": "pp 34-37 demographic decline -> p38 'Easy Growth Behind Us' -> p39 5 drivers losing mojo -> p41 internet as response.", "position": 3, "objective": "Show demographic + macro decay accumulating to 'easy growth behind us', flipping into urgency for innovation", "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 42, "type": "setup", "function": "transition", "rawType": "section_divider", "block": null, "metadata": { "slideType": "section_divider", "slideTypeCanon": { "name": "Section divider", "slug": "section_divider", "status": "active", "canonId": "019de52d-066a-7402-9554-6ae504999041", "version": 1, "description": null }, "function": "transition", "functionCanon": { "name": "Transition", "slug": "transition", "status": "active", "canonId": "019de52d-1365-7149-92aa-66df859e75fd", "version": 1, "description": null }, "density": "sparse", "densityScore": 1, "componentCount": 1, "textChars": 37, "nDataPoints": 0, "notes": null, "elementsJson": [ "headline_text" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:33.7+00", "seconds": 1.645, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/42", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-42", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.15, "w": 0.7, "x": 0.05, "y": 0.3 }, "kind": "title", "text": "ADVERTISING / COMMERCE + BRAND TRENDS", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:33.7+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "bdcab553-4911-4c9b-9d0d-77b56fde331a", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [], "locked": true }, { "page": 43, "type": "setup", "function": "transition", "rawType": "section_divider", "block": null, "metadata": { "slideType": "section_divider", "slideTypeCanon": { "name": "Section divider", "slug": "section_divider", "status": "active", "canonId": "019de52d-066a-7402-9554-6ae504999041", "version": 1, "description": null }, "function": "transition", "functionCanon": { "name": "Transition", "slug": "transition", "status": "active", "canonId": "019de52d-1365-7149-92aa-66df859e75fd", "version": 1, "description": null }, "density": "sparse", "densityScore": 3, "componentCount": 1, "textChars": 71, "nDataPoints": 0, "notes": null, "elementsJson": [ "headline_text" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:34.086+00", "seconds": 2.027, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/43", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-43", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.3, "w": 0.8, "x": 0.1, "y": 0.35 }, "kind": "title", "text": "Online Advertising = Mobile + Majors + Newcomers Continue to Crank Away", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:34.086+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "028d718a-0ad5-47cc-8101-71067ec8e333", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 49, "from": 43, "loop": { "name": "03_aha_moment", "slug": "03-aha-moment", "status": "active", "bestFor": "Data-heavy sections, research findings, analytical arguments", "canonId": "019dd956-66f4-7668-ab25-cec9c996c0bc", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Problem/Question -> What the Data Shows -> The Insight", "description": "Establish a tension, present data, then deliver the insight that changes everything", "familyLabel": null }, "matchId": "019de7d7-e188-76e5-96d2-089815b5a635", "evidence": "p44 data -> p45 76% concentration -> p46 $22B opportunity -> p47-48 ad-blocking 'call-to-arms'.", "position": 4, "objective": "Move from raw ad-spend data to insight that mobile + Google/Facebook drive growth while ad efficacy lags", "confidence": 72, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 44, "type": "analysis", "title": "The slide uses a combination of stacked bars for revenue and a line for growth rate to illustrate the shift toward mobile.", "function": "analyze_data", "rawType": "industry_trends", "block": null, "metadata": { "slideType": "industry_trends", "slideTypeCanon": { "name": "Industry trends", "slug": "industry_trends", "status": "active", "canonId": "019de52d-0b1d-7705-a0e0-c663199cd1fa", "version": 1, "description": null }, "function": "analyze_data", "functionCanon": { "name": "Analyze data", "slug": "analyze_data", "status": "active", "canonId": "019de52d-1590-7413-8c82-cc218cff40b4", "version": 1, "description": null }, "density": "dense", "densityScore": 56, "componentCount": 7, "textChars": 401, "nDataPoints": 14, "notes": "The slide uses a combination of stacked bars for revenue and a line for growth rate to illustrate the shift toward mobile.", "elementsJson": [ "headline_text", "bar_chart_stacked", "line_chart" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:34.927+00", "seconds": 2.625, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/44", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-44", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.6, "w": 0.7, "x": 0.15, "y": 0.25 }, "kind": "chart", "text": "Stacked bar chart showing Desktop and Mobile advertising revenue from 2009-2015", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Stacked bar chart", "slug": "bar-stacked", "status": "active", "canonId": "019de52c-feec-74bf-9028-15b74f84f0a7", "version": 1, "description": null }, "framework": null }, "subkind": "bar-stacked", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:34.927+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "dcbc8ed3-5ccd-46ed-8552-477da4c8bd82", "parentComponentId": null }, { "bbox": { "h": 0.6, "w": 0.7, "x": 0.15, "y": 0.25 }, "kind": "chart", "text": "Line chart showing Y/Y growth percentage", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Line chart", "slug": "line", "status": "active", "canonId": "019de52c-ff62-778f-8f6c-a952ceae8677", "version": 1, "description": null }, "framework": null }, "subkind": "line", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:34.927+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "fe1ea3d9-89b1-4155-b552-dc9b14459613", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.6, "x": 0.2, "y": 0.85 }, "kind": "legend", "text": "Desktop Advertising, Mobile Advertising, Y/Y Growth", "attrs": null, "canon": { "kind": { "name": "Legend", "slug": "legend", "status": "active", "canonId": "31361933-3d22-4c70-bbad-0801e9fffc0c", "version": 1, "description": "Color/symbol decoder placed adjacent to a chart or diagram." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:34.927+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "e7b42ab1-e3f5-49e3-bd3d-71621eb3f9a7", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "USA Internet Advertising ($B): $60", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:02+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f24-1977298ec153", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.3, "x": 0.1, "y": 0.95 }, "kind": "source-note", "text": "Source: 2015 IAB / PWC Internet Advertising Report.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:34.927+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "b1acb6f7-3754-44cb-b9a7-2756ef4e1faf", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.9, "x": 0.05, "y": 0.05 }, "kind": "title", "text": "USA Internet Advertising Growth = Accelerating, +20% vs. +16% Y/Y... Owing to Mobile (+66%) vs. Desktop (+5%)", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Action title", "slug": "action-title", "status": "active", "canonId": "019de52c-fb31-734c-a0f5-a3935b73135d", "version": 1, "description": null }, "framework": null }, "subkind": "action-title", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:34.927+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "b751a44d-7228-498f-b519-d4e0e09b629e", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.4, "x": 0.3, "y": 0.2 }, "kind": "title", "text": "USA Internet Advertising, 2009 – 2015", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:34.927+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "16f26453-d7b8-43da-a127-1c76a8bba17e", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-ea94-756c-8a96-0d3117ea9c90", "evidence": "Title quotes Mobile +66% vs Desktop +5%.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 88, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 44, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." }, { "tool": { "name": "Chart Selection Guide", "slug": "chart-selection-guide", "status": "active", "bestFor": null, "canonId": "019dd956-b1a0-700b-ba17-0e16c4d5bcae", "version": 1, "bodyDocId": null, "description": "Choosing the right chart type for your data and message", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "019de7d7-eb01-72cd-97fd-c58f0d2c2dda", "evidence": "Stacked bars + line for $ + Y/Y growth.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 44, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 49, "from": 43, "loop": { "name": "03_aha_moment", "slug": "03-aha-moment", "status": "active", "bestFor": "Data-heavy sections, research findings, analytical arguments", "canonId": "019dd956-66f4-7668-ab25-cec9c996c0bc", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Problem/Question -> What the Data Shows -> The Insight", "description": "Establish a tension, present data, then deliver the insight that changes everything", "familyLabel": null }, "matchId": "019de7d7-e188-76e5-96d2-089815b5a635", "evidence": "p44 data -> p45 76% concentration -> p46 $22B opportunity -> p47-48 ad-blocking 'call-to-arms'.", "position": 4, "objective": "Move from raw ad-spend data to insight that mobile + Google/Facebook drive growth while ad efficacy lags", "confidence": 72, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 45, "type": "analysis", "title": "Part of the KPCB Internet Trends 2016 deck.", "function": "quantify_impact", "rawType": "market_landscape", "block": null, "metadata": { "slideType": "market_landscape", "slideTypeCanon": { "name": "Market landscape", "slug": "market_landscape", "status": "active", "canonId": "019de52d-0b6d-75db-a946-9ac362e3afc2", "version": 1, "description": null }, "function": "quantify_impact", "functionCanon": { "name": "Quantify impact", "slug": "quantify_impact", "status": "active", "canonId": "019de52d-1630-720d-b57d-fa7f76bebd8d", "version": 1, "description": null }, "density": "dense", "densityScore": 54, "componentCount": 6, "textChars": 611, "nDataPoints": 6, "notes": "Part of the KPCB Internet Trends 2016 deck.", "elementsJson": [ "headline_text", "bar_chart_grouped", "footnote" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:37.894+00", "seconds": 5.553, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/45", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-45", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "Google + Facebook = 76% (& Rising) Share of Internet Advertising Growth, USA", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:02+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f24-9dc10df28e6d", "parentComponentId": null }, { "bbox": { "h": 0.6, "w": 0.8, "x": 0.1, "y": 0.25 }, "kind": "chart", "text": null, "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Grouped bar chart", "slug": "bar-grouped", "status": "active", "canonId": "019de52c-ff3b-751e-a8ff-f21ff11097b1", "version": 1, "description": null }, "framework": null }, "subkind": "bar-grouped", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:37.894+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "30388563-e644-4d66-9413-58a1e7929a54", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Internet Advertising Revenue: 76%", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:02+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f24-a14341a70360", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.8, "x": 0.1, "y": 0.9 }, "kind": "source-note", "text": "Source: IAB / PWC 2015 Advertising Report, Facebook, Morgan Stanley Research. Note: Facebook revenue include Canada. Google USA ad revenue per Morgan Stanley estimates as company only discloses total ad revenue and total USA revenue. 'Others' includes all other USA internet (mobile + desktop) advertising revenue ex-Google / Facebook.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:37.894+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "35bdda96-21ad-46f2-8cbb-8b8e9a7d8aaa", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.9, "x": 0.05, "y": 0.05 }, "kind": "title", "text": "Google + Facebook = 76% (& Rising) Share of Internet Advertising Growth, USA", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:37.894+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "9d0f4877-4e9b-4471-a45e-5048e687819e", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.8, "x": 0.1, "y": 0.15 }, "kind": "title", "text": "Advertising Revenue and Growth Rates (%) of Google vs. Facebook vs. Other, USA, 2014 – 2015", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Subtitle", "slug": "subtitle", "status": "active", "canonId": "019de52c-fb09-739d-900c-815b0d9ac526", "version": 1, "description": null }, "framework": null }, "subkind": "subtitle", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:37.894+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "55b4807c-58a9-4eb4-8790-f4438280f15b", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Pareto Principle (80/20)", "slug": "pareto-principle-80-20", "status": "active", "bestFor": null, "canonId": "019dd956-8cc3-75ba-a35d-d6575b56c45d", "version": 1, "bodyDocId": null, "description": "80% of effects come from 20% of causes - focus on high-impact items", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Architect", "layer": "block", "agents": [ "Architect" ], "matchId": "019de7d7-eb40-764a-81a9-a6dce8568e77", "evidence": "Two players capture vast majority of growth.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 45, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-eb20-74c9-bd69-d2653420a1c7", "evidence": "'Google + Facebook = 76% share of growth'.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 90, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 45, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." } ], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 49, "from": 43, "loop": { "name": "03_aha_moment", "slug": "03-aha-moment", "status": "active", "bestFor": "Data-heavy sections, research findings, analytical arguments", "canonId": "019dd956-66f4-7668-ab25-cec9c996c0bc", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Problem/Question -> What the Data Shows -> The Insight", "description": "Establish a tension, present data, then deliver the insight that changes everything", "familyLabel": null }, "matchId": "019de7d7-e188-76e5-96d2-089815b5a635", "evidence": "p44 data -> p45 76% concentration -> p46 $22B opportunity -> p47-48 ad-blocking 'call-to-arms'.", "position": 4, "objective": "Move from raw ad-spend data to insight that mobile + Google/Facebook drive growth while ad efficacy lags", "confidence": 72, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 46, "type": "resolution", "title": "The slide uses a bar-grouped chart to illustrate the gap between consumer attention and ad spend, specifically calling out the mobile opportunity.", "function": "size_opportunity", "rawType": "market_sizing", "block": null, "metadata": { "slideType": "market_sizing", "slideTypeCanon": { "name": "Market sizing", "slug": "market_sizing", "status": "active", "canonId": "019de52d-08c8-756c-8664-733b73a7ee7b", "version": 1, "description": null }, "function": "size_opportunity", "functionCanon": { "name": "Size opportunity", "slug": "size_opportunity", "status": "active", "canonId": "019de52d-147b-7568-8828-a74a27697618", "version": 1, "description": null }, "density": "balanced", "densityScore": 46, "componentCount": 5, "textChars": 593, "nDataPoints": 10, "notes": "The slide uses a bar-grouped chart to illustrate the gap between consumer attention and ad spend, specifically calling out the mobile opportunity.", "elementsJson": [ "headline_text", "bar_chart_grouped", "callout_box" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:34.773+00", "seconds": 2.353, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/46", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-46", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.1, "w": 0.1, "x": 0.87, "y": 0.58 }, "kind": "callout", "text": "~$22B Opportunity in USA", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": null, "subkind": { "name": "Primary callout", "slug": "primary", "status": "active", "canonId": "019de52c-fbd1-70eb-a9ce-8997f8674c1d", "version": 1, "description": null }, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:34.773+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "69e82325-4881-44d7-a40d-483c556dabcf", "parentComponentId": null }, { "bbox": { "h": 0.7, "w": 0.85, "x": 0.08, "y": 0.15 }, "kind": "chart", "text": "% of Time Spent in Media vs. % of Advertising Spending, USA, 2015", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Grouped bar chart", "slug": "bar-grouped", "status": "active", "canonId": "019de52c-ff3b-751e-a8ff-f21ff11097b1", "version": 1, "description": null }, "framework": null }, "subkind": "bar-grouped", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:34.773+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "9c40828f-2165-4a5f-a150-69155f301cff", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Advertising Spend Opportunity: $22B", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:02+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f23-fa6289394c7a", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.7, "x": 0.02, "y": 0.92 }, "kind": "source-note", "text": "Source: Advertising spend based on IAB data for full year 2015. Print includes newspaper and magazine. Internet includes desktop + laptop + other connected devices. ~$22B opportunity calculated assuming Mobile ad spend share equal its respective time spent share. Time spent share data based on eMarketer 4/16. Arrows denote Y/Y shift in percent share. Excludes out-of-home, video game, and cinema advertising.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:34.773+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "e34e108e-8868-41b2-9e3e-601d28fb6d33", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.75, "x": 0.02, "y": 0.02 }, "kind": "title", "text": "@ Margin... Advertisers Remain Over-Indexed to Legacy Media", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:34.773+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "acb925d5-1976-45e9-baf6-987525590b6e", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-eb5f-7779-9721-6c2c4a9f88b9", "evidence": "'$22B Opportunity' is the so-what.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 85, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 46, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." }, { "tool": { "name": "Annotation", "slug": "annotation", "status": "active", "bestFor": null, "canonId": "019dd956-b5b9-7668-bf0e-3af99823ec5c", "version": 1, "bodyDocId": null, "description": "Adding explanatory labels to highlight key data points", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "019de7d7-ebe6-7113-bc94-162c2460d55e", "evidence": "Arrows mark over/under-indexing direction.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 46, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "So What? Test", "slug": "so-what-test", "status": "active", "bestFor": "On every slide carrying a chart, number, list, or finding intended to inform a decision; whenever a draft title is descriptive rather than directive; whenever the deck will circulate without its author.", "canonId": "019dd956-acd2-76f8-b59a-9bf15a89f10a", "version": 1, "bodyDocId": "fec04b06-b2f1-432b-a97b-916dc7563f64", "description": "The recursive editorial discipline of asking so-what of every slide, chart, and statement until the answer is an implication for the audience — that final answer becomes the slide's title; the chain becomes its body.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-ebc6-752c-b2e1-72e9fc0a12ad", "evidence": "Time-vs-spend gap -> opportunity sizing.", "pageRefs": null, "priority": "Core", "whenToUse": "On every slide carrying a chart, number, list, or finding intended to inform a decision; whenever a draft title is descriptive rather than directive; whenever the deck will circulate without its author.", "confidence": 80, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 46, "whyItWorks": "Solves the two failure modes of analytical communication at once: stopping at description (analyst-confidence problem) and leaving insight stranded in the analyst's head (translation problem). The recursion is what guarantees the implication makes it into ink.", "antipattern": "Stopping at the first tighter description (still a fact, not an implication), regressing past the audience's decision space into philosophy, smuggling the so-what into speaker notes, or re-using an implication aimed at a previous audience.", "cardinality": null, "narrativePurpose": "Forces every analytical artefact to close the gap between fact and decision, so the reader holds the recommendation by reading titles alone rather than reconstructing the analyst's mental model from raw evidence." } ], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 49, "from": 43, "loop": { "name": "03_aha_moment", "slug": "03-aha-moment", "status": "active", "bestFor": "Data-heavy sections, research findings, analytical arguments", "canonId": "019dd956-66f4-7668-ab25-cec9c996c0bc", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Problem/Question -> What the Data Shows -> The Insight", "description": "Establish a tension, present data, then deliver the insight that changes everything", "familyLabel": null }, "matchId": "019de7d7-e188-76e5-96d2-089815b5a635", "evidence": "p44 data -> p45 76% concentration -> p46 $22B opportunity -> p47-48 ad-blocking 'call-to-arms'.", "position": 4, "objective": "Move from raw ad-spend data to insight that mobile + Google/Facebook drive growth while ad efficacy lags", "confidence": 72, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 47, "type": "analysis", "function": "summarize", "rawType": "industry_trends", "block": null, "metadata": { "slideType": "industry_trends", "slideTypeCanon": { "name": "Industry trends", "slug": "industry_trends", "status": "active", "canonId": "019de52d-0b1d-7705-a0e0-c663199cd1fa", "version": 1, "description": null }, "function": "summarize", "functionCanon": { "name": "Summarize", "slug": "summarize", "status": "active", "canonId": "019de52d-1541-704f-b86f-bf7b75056373", "version": 1, "description": null }, "density": "dense", "densityScore": 68, "componentCount": 7, "textChars": 821, "nDataPoints": 6, "notes": null, "elementsJson": [ "headline_text", "bullet_list", "numbered_list" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:39.198+00", "seconds": 6.174, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/47", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-47", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "93% = Consider Using Ad Blocking Software", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:04+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f25-161e5c070a87", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.9, "x": 0.05, "y": 0.15 }, "kind": "list", "text": "Google Has Proven Effective Online Advertising Works... Google = $75B Revenue (2015), +14% Y/Y / $510B Market Value (5/31/16)", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:39.198+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "0895e1d9-1974-441c-ada5-e3e06b66d2a9", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.9, "x": 0.05, "y": 0.35 }, "kind": "list", "text": "...But Many Online (Video) Ads are Ineffective, per Unruly... 81% = Mute Video Ads, 62% = Annoyed with / Put Off by Brand Forcing Pre-Roll Viewing, 93% = Consider Using Ad Blocking Software", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:39.198+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "91d34418-620b-4b4a-ae38-a1d27a8ca2c5", "parentComponentId": null }, { "bbox": { "h": 0.35, "w": 0.9, "x": 0.05, "y": 0.55 }, "kind": "list", "text": "...But There are Ways Video Ads Can Work, per Unruly 1) Authentic 2) Entertaining 3) Evoke Emotion 4) Personal / Relatable 5) Useful 6) Viewer Control 7) Work with Sound Off 8) Non-Interruptive Ad Format", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Numbered list", "slug": "numbered", "status": "active", "canonId": "019de52c-fcc0-7718-a284-a4250c805df2", "version": 1, "description": null }, "framework": null }, "subkind": "numbered", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:39.198+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "8e22728c-0893-4358-a763-b3f5c63b9438", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Ad blocking consideration: 93%", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:04+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f25-1accceba2b93", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.9, "x": 0.05, "y": 0.95 }, "kind": "source-note", "text": "Source: CapitalIQ as of 5/31/16, Unruly Future Video Survey, July 2015. N = 3,200 internet users surveyed from the US, UK, Germany, Australia, Sweden, France, Indonesia and Japan.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:39.198+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "97ecba07-13ad-4754-9561-8e731a4231be", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.5, "x": 0.02, "y": 0.02 }, "kind": "title", "text": "Online Advertising Efficacy = Still Has Long Way to Go", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:39.198+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "7088b690-d72b-4664-bc9c-4fb1df7729df", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 49, "from": 43, "loop": { "name": "03_aha_moment", "slug": "03-aha-moment", "status": "active", "bestFor": "Data-heavy sections, research findings, analytical arguments", "canonId": "019dd956-66f4-7668-ab25-cec9c996c0bc", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Problem/Question -> What the Data Shows -> The Insight", "description": "Establish a tension, present data, then deliver the insight that changes everything", "familyLabel": null }, "matchId": "019de7d7-e188-76e5-96d2-089815b5a635", "evidence": "p44 data -> p45 76% concentration -> p46 $22B opportunity -> p47-48 ad-blocking 'call-to-arms'.", "position": 4, "objective": "Move from raw ad-spend data to insight that mobile + Google/Facebook drive growth while ad efficacy lags", "confidence": 72, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 48, "type": "analysis", "title": "The chart highlights a significant divergence in growth rates between desktop and mobile adblocking.", "function": "analyze_data", "rawType": "industry_trends", "block": null, "metadata": { "slideType": "industry_trends", "slideTypeCanon": { "name": "Industry trends", "slug": "industry_trends", "status": "active", "canonId": "019de52d-0b1d-7705-a0e0-c663199cd1fa", "version": 1, "description": null }, "function": "analyze_data", "functionCanon": { "name": "Analyze data", "slug": "analyze_data", "status": "active", "canonId": "019de52d-1590-7413-8c82-cc218cff40b4", "version": 1, "description": null }, "density": "balanced", "densityScore": 47, "componentCount": 6, "textChars": 437, "nDataPoints": 4, "notes": "The chart highlights a significant divergence in growth rates between desktop and mobile adblocking.", "elementsJson": [ "headline_text", "line_chart", "footnote" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:36.153+00", "seconds": 3.105, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/48", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-48", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.6, "w": 0.8, "x": 0.1, "y": 0.2 }, "kind": "chart", "text": "Line chart showing desktop and mobile adblocking growth", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Line chart", "slug": "line", "status": "active", "canonId": "019de52c-ff62-778f-8f6c-a952ceae8677", "version": 1, "description": null }, "framework": null }, "subkind": "line", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:36.153+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "d58c7461-9b01-4aab-90e7-14c5c072f525", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.8, "x": 0.1, "y": 0.93 }, "kind": "disclaimer", "text": "Source: PageFair, 5/16. Dotted line represents estimated data...", "attrs": null, "canon": { "kind": { "name": "Disclaimer", "slug": "disclaimer", "status": "active", "canonId": "91173477-d91f-4024-bbaf-d4f93e3f82dc", "version": 1, "description": "Legal/cautionary text that occupies most of the body of its slide." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:36.153+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "856cb8d9-3045-4fa4-bc35-a00a2b70ad5e", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.7, "x": 0.15, "y": 0.82 }, "kind": "legend", "text": "Desktop Adblocking Software Users; Mobile Adblocking Browser Users", "attrs": null, "canon": { "kind": { "name": "Legend", "slug": "legend", "status": "active", "canonId": "31361933-3d22-4c70-bbad-0801e9fffc0c", "version": 1, "description": "Color/symbol decoder placed adjacent to a chart or diagram." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:36.153+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "ed66e2bd-2782-44d0-83e5-4e98fa01950f", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Global Adblocking Users: 420MM+", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:05+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f25-95918780adcb", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.96, "x": 0.02, "y": 0.02 }, "kind": "title", "text": "Adblocking @ ~220MM Desktop Users (+16% Y/Y)...~420MM+ Mobile (+94%)... Majority in China / India / Indonesia = Call-to-Arms to Create Better Ads, per PageFair", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Action title", "slug": "action-title", "status": "active", "canonId": "019de52c-fb31-734c-a0f5-a3935b73135d", "version": 1, "description": null }, "framework": null }, "subkind": "action-title", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:36.153+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "4fd0c81e-5c69-4d80-b6b2-93628888e96c", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.7, "x": 0.15, "y": 0.175 }, "kind": "title", "text": "Global Adblocking Users on Web (Mobile + Desktop), 4/09 – 3/16", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:36.153+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "c8fc7864-0161-40e5-86b4-3c3d7ac6febf", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 49, "from": 43, "loop": { "name": "03_aha_moment", "slug": "03-aha-moment", "status": "active", "bestFor": "Data-heavy sections, research findings, analytical arguments", "canonId": "019dd956-66f4-7668-ab25-cec9c996c0bc", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Problem/Question -> What the Data Shows -> The Insight", "description": "Establish a tension, present data, then deliver the insight that changes everything", "familyLabel": null }, "matchId": "019de7d7-e188-76e5-96d2-089815b5a635", "evidence": "p44 data -> p45 76% concentration -> p46 $22B opportunity -> p47-48 ad-blocking 'call-to-arms'.", "position": 4, "objective": "Move from raw ad-spend data to insight that mobile + Google/Facebook drive growth while ad efficacy lags", "confidence": 72, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 49, "type": "evidence", "title": "The slide highlights Snapchat's '3V' advertising framework (Vertical, Video, Viewing).", "function": "illustrate_case", "rawType": "client_example", "block": null, "metadata": { "slideType": "client_example", "slideTypeCanon": { "name": "Client example", "slug": "client_example", "status": "active", "canonId": "019de52d-0c87-77cb-9867-613ae22e95ac", "version": 1, "description": null }, "function": "illustrate_case", "functionCanon": { "name": "Illustrate case", "slug": "illustrate_case", "status": "active", "canonId": "019de52d-13b4-772c-bb73-1873612a7463", "version": 1, "description": null }, "density": "overcrowded", "densityScore": 81, "componentCount": 13, "textChars": 655, "nDataPoints": 4, "notes": "The slide highlights Snapchat's '3V' advertising framework (Vertical, Video, Viewing).", "elementsJson": [ "headline_text", "paragraph", "callout_box", "photo", "footnote" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:36.44+00", "seconds": 3.343, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/49", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-49", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.12, "w": 0.35, "x": 0.55, "y": 0.33 }, "kind": "callout", "text": "Furious 7 (10-Second Ad) in... Ultra Music Festival Miami Live Story", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": null, "subkind": { "name": "Primary callout", "slug": "primary", "status": "active", "canonId": "019de52c-fbd1-70eb-a9ce-8997f8674c1d", "version": 1, "description": null }, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:36.44+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "6c6358eb-1814-4889-b1d9-72d2f9fbca62", "parentComponentId": null }, { "bbox": { "h": 0.12, "w": 0.35, "x": 0.08, "y": 0.33 }, "kind": "callout", "text": "Spotify (10-Second Ad) in... Snapchat Live Stories + Discover", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": null, "subkind": { "name": "Primary callout", "slug": "primary", "status": "active", "canonId": "019de52c-fbd1-70eb-a9ce-8997f8674c1d", "version": 1, "description": null }, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:36.44+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "6cc9e3fc-76f8-4291-845c-960ac8cfdd3c", "parentComponentId": null }, { "bbox": null, "kind": "callout", "text": "Vertical (Made for Mobiles) / Video (Great Way to Tell Story) / Viewing (Always Full Screen)", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:02+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f24-7df980884ea6", "parentComponentId": null }, { "bbox": { "h": 0.25, "w": 0.28, "x": 0.57, "y": 0.5 }, "kind": "image", "text": null, "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Illustration", "slug": "illustration", "status": "active", "canonId": "019de52c-fe76-7772-a5ac-c0b7294d7615", "version": 1, "description": null }, "framework": null }, "subkind": "illustration", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:36.44+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "56c4e3eb-dcc0-472d-bc64-61d85bd7a2ce", "parentComponentId": null }, { "bbox": { "h": 0.25, "w": 0.11, "x": 0.21, "y": 0.5 }, "kind": "image", "text": null, "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Illustration", "slug": "illustration", "status": "active", "canonId": "019de52c-fe76-7772-a5ac-c0b7294d7615", "version": 1, "description": null }, "framework": null }, "subkind": "illustration", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:36.44+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "7229d560-1594-4e2f-9e76-95ac9f0fdab8", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.3, "x": 0.1, "y": 0.8 }, "kind": "list", "text": "+30% Lift in Subscription Intent, 2x More Effective Than Typical Mobile Channels", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:36.44+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "ad5528cd-1011-40e6-abd7-b79c05907b0c", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.35, "x": 0.55, "y": 0.8 }, "kind": "list", "text": "+3x Attendance Among Target Demo for Snapchatters vs. Non-Snapchatters = Opening Weekend Box Office", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:36.44+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "c38fa0bd-4ad6-42e4-8eee-bb808f1217ad", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.2, "x": 0.6, "y": 0.46 }, "kind": "metric", "text": "14MM+ Views, 3/15", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": null, "subkind": { "name": "Big number", "slug": "big-number", "status": "active", "canonId": "019de52c-fc70-70c8-b965-0584548a9204", "version": 1, "description": null }, "framework": null }, "subkind": "big-number", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:36.44+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "0570d630-8268-47d6-80b6-b2b0481eb73c", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.2, "x": 0.15, "y": 0.46 }, "kind": "metric", "text": "26MM+ Views, 12/15", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": null, "subkind": { "name": "Big number", "slug": "big-number", "status": "active", "canonId": "019de52c-fc70-70c8-b965-0584548a9204", "version": 1, "description": null }, "framework": null }, "subkind": "big-number", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:36.44+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "9f589c38-a26c-4d15-8cd4-3ba683a11b74", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Views: 26MM+", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:02+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f24-83fa2849ee7c", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.9, "x": 0.05, "y": 0.15 }, "kind": "paragraph", "text": "Snapchat's 3V Advertising: Vertical (Made for Mobiles) / Video (Great Way to Tell Story) / Viewing (Always Full Screen)", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:36.44+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "fa91090b-bb80-440f-8efd-8cfe1bc66a2f", "parentComponentId": null }, { "bbox": { "h": 0.02, "w": 0.1, "x": 0.1, "y": 0.95 }, "kind": "source-note", "text": "Source: Snapchat", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:36.44+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "1c9f455d-0f8d-46f7-8949-f7536c541967", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.75, "x": 0.02, "y": 0.02 }, "kind": "title", "text": "Video Ads that Work = Authentic / Entertaining / In-Context / Often Brief", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:36.44+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "288eb8f5-0ee1-42c9-b442-cc21780ee7e2", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Metaphor & Analogy", "slug": "metaphor-analogy", "status": "active", "bestFor": null, "canonId": "019dd956-adea-7729-bca1-70810d6238a9", "version": 1, "bodyDocId": null, "description": "Making abstract concepts concrete through familiar comparisons", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "019de7d7-ec06-727a-8594-59447d4e1519", "evidence": "Snapchat '3V' framework as memorable mnemonic.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 65, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 49, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Sinatra Test", "slug": "sinatra-test", "status": "active", "bestFor": null, "canonId": "019dd956-be4a-775f-8038-d4e7e58dfc5a", "version": 1, "bodyDocId": null, "description": "If you can make it there, you can make it anywhere - using flagship example", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "019de7d7-ec24-761c-b53c-cbe6f2c08e81", "evidence": "Spotify and Furious 7 as flagship examples.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 60, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 49, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [ { "matchId": "64a9f40e-9fdf-4746-962d-73146e6878f5", "evidence": "Snapchat's 3V Advertising (Vertical, Video, Viewing)", "framework": null, "confidence": 1, "extraction": { "at": "2026-05-02 17:38:36.44+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 49, "frameworkName": "3V Advertising" } ], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 49, "from": 43, "loop": { "name": "03_aha_moment", "slug": "03-aha-moment", "status": "active", "bestFor": "Data-heavy sections, research findings, analytical arguments", "canonId": "019dd956-66f4-7668-ab25-cec9c996c0bc", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Problem/Question -> What the Data Shows -> The Insight", "description": "Establish a tension, present data, then deliver the insight that changes everything", "familyLabel": null }, "matchId": "019de7d7-e188-76e5-96d2-089815b5a635", "evidence": "p44 data -> p45 76% concentration -> p46 $22B opportunity -> p47-48 ad-blocking 'call-to-arms'.", "position": 4, "objective": "Move from raw ad-spend data to insight that mobile + Google/Facebook drive growth while ad efficacy lags", "confidence": 72, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 50, "type": "setup", "function": "transition", "rawType": "section_divider", "block": null, "metadata": { "slideType": "section_divider", "slideTypeCanon": { "name": "Section divider", "slug": "section_divider", "status": "active", "canonId": "019de52d-066a-7402-9554-6ae504999041", "version": 1, "description": null }, "function": "transition", "functionCanon": { "name": "Transition", "slug": "transition", "status": "active", "canonId": "019de52d-1365-7149-92aa-66df859e75fd", "version": 1, "description": null }, "density": "sparse", "densityScore": 2, "componentCount": 1, "textChars": 61, "nDataPoints": 0, "notes": null, "elementsJson": [ "headline_text" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:34.757+00", "seconds": 1.515, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/50", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-50", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.3, "w": 0.7, "x": 0.15, "y": 0.35 }, "kind": "title", "text": "Commerce + Brands = Evolving Rapidly By / For This Generation", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:34.757+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "41413fbc-feae-479f-ab8f-78256a175860", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 71, "from": 50, "loop": { "name": "04_tale_two_worlds", "slug": "04-tale-two-worlds", "status": "active", "bestFor": "Competitive analysis, benchmarking, case for change", "canonId": "019dd956-674f-750b-b15d-f082e2717f4e", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "Current State -> Desired State / Benchmark -> The Gap & Implication", "description": "Show the gap between two states to drive urgency or highlight opportunity", "familyLabel": null }, "matchId": "019de7d7-e1a8-7476-bf97-c3dc117d6e63", "evidence": "Generation comparison tables (52,53), retail-channel evolution (57-58), digital-native scaling (71).", "position": 5, "objective": "Contrast prior-generation retail world vs. millennial / digital-native world to motivate commerce reinvention", "confidence": 80, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 51, "type": "setup", "function": "transition", "rawType": "transition", "block": null, "metadata": { "slideType": "transition", "slideTypeCanon": { "name": "Transition", "slug": "transition", "status": "active", "canonId": "019de52d-0693-7766-9f05-887f41f8e41e", "version": 1, "description": null }, "function": "transition", "functionCanon": { "name": "Transition", "slug": "transition", "status": "active", "canonId": "019de52d-1365-7149-92aa-66df859e75fd", "version": 1, "description": null }, "density": "sparse", "densityScore": 4, "componentCount": 1, "textChars": 115, "nDataPoints": 0, "notes": null, "elementsJson": [ "headline_text" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:35.763+00", "seconds": 2.289, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/51", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-51", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.5, "w": 0.8, "x": 0.1, "y": 0.25 }, "kind": "title", "text": "Each Generation Has Slightly Different Core Values + Expectations... Shaped by Events that Occur in Their Lifetimes", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:35.763+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "f2babe57-910a-4b02-82c6-bd191705f7ad", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 71, "from": 50, "loop": { "name": "04_tale_two_worlds", "slug": "04-tale-two-worlds", "status": "active", "bestFor": "Competitive analysis, benchmarking, case for change", "canonId": "019dd956-674f-750b-b15d-f082e2717f4e", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "Current State -> Desired State / Benchmark -> The Gap & Implication", "description": "Show the gap between two states to drive urgency or highlight opportunity", "familyLabel": null }, "matchId": "019de7d7-e1a8-7476-bf97-c3dc117d6e63", "evidence": "Generation comparison tables (52,53), retail-channel evolution (57-58), digital-native scaling (71).", "position": 5, "objective": "Contrast prior-generation retail world vs. millennial / digital-native world to motivate commerce reinvention", "confidence": 80, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 52, "type": "setup", "title": "The slide highlights the evolution of consumer preferences over time, with a specific focus on the Millennial generation.", "function": "compare_peers", "rawType": "comparison_table", "block": null, "metadata": { "slideType": "comparison_table", "slideTypeCanon": { "name": "Comparison table", "slug": "comparison_table", "status": "active", "canonId": "019de52d-0a06-73f8-8813-fe022fab1de2", "version": 1, "description": null }, "function": "compare_peers", "functionCanon": { "name": "Compare peers", "slug": "compare_peers", "status": "active", "canonId": "019de52d-1453-72ba-a367-9ba3d34c1630", "version": 1, "description": null }, "density": "balanced", "densityScore": 40, "componentCount": 5, "textChars": 603, "nDataPoints": 0, "notes": "The slide highlights the evolution of consumer preferences over time, with a specific focus on the Millennial generation.", "elementsJson": [ "headline_text", "action_title", "photo", "data_table" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:36.093+00", "seconds": 2.581, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/52", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-52", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "Millennials = More Global / Optimistic / Tolerant…", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:04+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f25-670c62d2386f", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.92, "x": 0.04, "y": 0.15 }, "kind": "image", "text": "Images representing each generation.", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Photo", "slug": "photo", "status": "active", "canonId": "019de52c-fd37-757f-b4a8-ca26d4888875", "version": 1, "description": null }, "framework": null }, "subkind": "photo", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:36.093+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "6d4f2a9e-7a89-44a9-aaa9-095c79c999dc", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.7, "x": 0.04, "y": 0.92 }, "kind": "source-note", "text": "Source: Acosta Inc., Pew Research. Image: Doomsteaddiner.net, Billboard.com, Metro.co.uk. Note: Data from Acosta as of 7/13. Pew Research Center tabulations of the March Current Population Surveys (1963, 1980, 1998, and 2014).", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:36.093+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "edabe683-de26-48d8-a9dd-3d2c59a545c4", "parentComponentId": null }, { "bbox": { "h": 0.55, "w": 0.92, "x": 0.04, "y": 0.35 }, "kind": "table", "text": "Comparison matrix of generations (Silent, Boomers, Gen X, Millennials) across Birth Years, Summary, Core Values, Work/Life Balance, Technology, and Financial Approach.", "attrs": null, "canon": { "kind": { "name": "Table", "slug": "table", "status": "active", "canonId": "019de52c-f9c8-7148-8119-eaac9594cd28", "version": 1, "description": "Tabular data layout." }, "tool": null, "subkind": { "name": "Data table", "slug": "data", "status": "active", "canonId": "019de52d-02d5-75b8-8abf-88e92bf63569", "version": 1, "description": null }, "framework": null }, "subkind": "data", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:36.093+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "ab1aa371-fd67-4e81-8fa7-9701bda39074", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.8, "x": 0.02, "y": 0.02 }, "kind": "title", "text": "Consumer Preference / Value Evolution by Generation, USA... Millennials = More Global / Optimistic / Tolerant..., per Acosta", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:36.093+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "cf87ad6d-d3b1-455a-9434-0f5d04a06994", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Audience Segmentation", "slug": "audience-segmentation", "status": "active", "bestFor": null, "canonId": "019dd956-8079-7046-8e6b-ecdf1bf15590", "version": 1, "bodyDocId": null, "description": "Grouping audience by attitude toward your message: Champions, Neutrals, Skeptics", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Storyteller", "layer": "block", "agents": [ "Storyteller" ], "matchId": "019de7d7-ec44-7218-8941-892c827b3cd3", "evidence": "Four-generation profiling table.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 80, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 52, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "2x2 matrix", "slug": "matrix-2x2", "status": "active", "bestFor": null, "canonId": "019dd9e1-50ab-72d1-8afb-3ab0a38e32a8", "version": 1, "bodyDocId": null, "description": "BCG matrix, importance/urgency, any axes-and-quadrants frame.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "61385e7f-3291-4730-bc70-f9c451d1f920", "evidence": "Comparison matrix of generations (Silent, Boomers, Gen X, Millennials) across Birth Years, Summary, Core Values, Work/Life Balance, Technology, and Financial Approach.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:00:24.346614+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 52, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null }, { "tool": { "name": "Von Restorff Effect", "slug": "von-restorff-effect", "status": "active", "bestFor": null, "canonId": "019dd956-beab-73d8-9f62-30d0332e926e", "version": 1, "bodyDocId": null, "description": "Items that stand out are noticed and remembered - make key points visually distinct", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "019de7d7-ec63-7147-abf9-c293c1414338", "evidence": "Red dashed box highlights Millennials column.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 52, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [ { "matchId": "ee93cd7a-1105-4eb2-9c00-a066cd415d01", "evidence": "The slide segments the US population by generation to compare consumer preferences.", "framework": null, "confidence": 0.9, "extraction": { "at": "2026-05-02 17:38:36.093+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 52, "frameworkName": "audience-segmentation" }, { "matchId": "019de7d7-fd8e-75ed-9545-6a813e26c6f5", "evidence": "Silent / Boomer / GenX / Millennial values comparison.", "framework": null, "confidence": 65, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 52, "frameworkName": "Generational segmentation table" } ], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 71, "from": 50, "loop": { "name": "04_tale_two_worlds", "slug": "04-tale-two-worlds", "status": "active", "bestFor": "Competitive analysis, benchmarking, case for change", "canonId": "019dd956-674f-750b-b15d-f082e2717f4e", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "Current State -> Desired State / Benchmark -> The Gap & Implication", "description": "Show the gap between two states to drive urgency or highlight opportunity", "familyLabel": null }, "matchId": "019de7d7-e1a8-7476-bf97-c3dc117d6e63", "evidence": "Generation comparison tables (52,53), retail-channel evolution (57-58), digital-native scaling (71).", "position": 5, "objective": "Contrast prior-generation retail world vs. millennial / digital-native world to motivate commerce reinvention", "confidence": 80, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 53, "type": "setup", "title": "The slide highlights the trend of Millennials being more urban, diverse, and less likely to be married compared to previous generations at the same age.", "function": "compare_peers", "rawType": "comparison_table", "block": null, "metadata": { "slideType": "comparison_table", "slideTypeCanon": { "name": "Comparison table", "slug": "comparison_table", "status": "active", "canonId": "019de52d-0a06-73f8-8813-fe022fab1de2", "version": 1, "description": null }, "function": "compare_peers", "functionCanon": { "name": "Compare peers", "slug": "compare_peers", "status": "active", "canonId": "019de52d-1453-72ba-a367-9ba3d34c1630", "version": 1, "description": null }, "density": "dense", "densityScore": 55, "componentCount": 6, "textChars": 556, "nDataPoints": 48, "notes": "The slide highlights the trend of Millennials being more urban, diverse, and less likely to be married compared to previous generations at the same age.", "elementsJson": [ "headline_text", "photo", "data_table", "footnote" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:36.722+00", "seconds": 3.183, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/53", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-53", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.15, "w": 0.77, "x": 0.19, "y": 0.16 }, "kind": "image", "text": "Representative photos for each generation", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Photo", "slug": "photo", "status": "active", "canonId": "019de52c-fd37-757f-b4a8-ca26d4888875", "version": 1, "description": null }, "framework": null }, "subkind": "photo", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:36.722+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "0fbd8842-8acc-4d50-a4cf-c3d8474f1f43", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Metropolitan population percentage: 86%", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:04+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f25-49769d11759d", "parentComponentId": null }, { "bbox": { "h": 0.06, "w": 0.6, "x": 0.1, "y": 0.92 }, "kind": "source-note", "text": "Source: Pew Research. Image: Doomsteaddiner.net, Billboard.com, Metro.co.uk. Note: *Only shows those that were civilian employed... **Median household income shown in 2015 dollars...", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:36.722+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "280277b0-5273-4869-b0cf-fbe162411527", "parentComponentId": null }, { "bbox": { "h": 0.55, "w": 0.9, "x": 0.05, "y": 0.325 }, "kind": "table", "text": "Comparison table of Silent, Baby Boomers, Gen X, and Millennials across 8 metrics including location, diversity, marital status, education, employment, income, and population.", "attrs": null, "canon": { "kind": { "name": "Table", "slug": "table", "status": "active", "canonId": "019de52c-f9c8-7148-8119-eaac9594cd28", "version": 1, "description": "Tabular data layout." }, "tool": null, "subkind": { "name": "Data table", "slug": "data", "status": "active", "canonId": "019de52d-02d5-75b8-8abf-88e92bf63569", "version": 1, "description": null }, "framework": null }, "subkind": "data", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:36.722+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "db3b8c26-cefa-46b5-8aaa-04b7e3784b03", "parentComponentId": null }, { "bbox": { "h": 0.04, "w": 0.5, "x": 0.02, "y": 0.06 }, "kind": "title", "text": "Millennials = More Urban / Diverse / Single...", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Action title", "slug": "action-title", "status": "active", "canonId": "019de52c-fb31-734c-a0f5-a3935b73135d", "version": 1, "description": null }, "framework": null }, "subkind": "action-title", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:36.722+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "89bacc52-7f1e-4c30-b9e9-0e75ce1a5949", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.9, "x": 0.02, "y": 0.02 }, "kind": "title", "text": "Characteristic Evolution by Generation @ Peak Adult Years (18-33), USA...", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:36.722+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "b070c471-c258-432f-895c-f135bc4eef38", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Audience Segmentation", "slug": "audience-segmentation", "status": "active", "bestFor": null, "canonId": "019dd956-8079-7046-8e6b-ecdf1bf15590", "version": 1, "bodyDocId": null, "description": "Grouping audience by attitude toward your message: Champions, Neutrals, Skeptics", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Storyteller", "layer": "block", "agents": [ "Storyteller" ], "matchId": "019de7d7-ec82-74cb-8fab-3bd7219328fb", "evidence": "Generation segmentation continued at peak adult years.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 53, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "2x2 matrix", "slug": "matrix-2x2", "status": "active", "bestFor": null, "canonId": "019dd9e1-50ab-72d1-8afb-3ab0a38e32a8", "version": 1, "bodyDocId": null, "description": "BCG matrix, importance/urgency, any axes-and-quadrants frame.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "249b5464-61ef-4f61-b2e7-73899895c272", "evidence": "Comparison table of Silent, Baby Boomers, Gen X, and Millennials across 8 metrics including location, diversity, marital status, education, employment, income, and population.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:00:24.430514+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 53, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null }, { "tool": { "name": "Von Restorff Effect", "slug": "von-restorff-effect", "status": "active", "bestFor": null, "canonId": "019dd956-beab-73d8-9f62-30d0332e926e", "version": 1, "bodyDocId": null, "description": "Items that stand out are noticed and remembered - make key points visually distinct", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "019de7d7-eca2-7309-a971-db8b31c51f3b", "evidence": "Red dashed box on Millennials.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 53, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [ { "matchId": "a78615a9-dbbd-4e82-84c1-a4f45e895e0c", "evidence": "The slide uses a table to compare demographic characteristics across four distinct generational cohorts.", "framework": null, "confidence": 0.9, "extraction": { "at": "2026-05-02 17:38:36.722+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 53, "frameworkName": "comparison_frame" } ], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 71, "from": 50, "loop": { "name": "04_tale_two_worlds", "slug": "04-tale-two-worlds", "status": "active", "bestFor": "Competitive analysis, benchmarking, case for change", "canonId": "019dd956-674f-750b-b15d-f082e2717f4e", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "Current State -> Desired State / Benchmark -> The Gap & Implication", "description": "Show the gap between two states to drive urgency or highlight opportunity", "familyLabel": null }, "matchId": "019de7d7-e1a8-7476-bf97-c3dc117d6e63", "evidence": "Generation comparison tables (52,53), retail-channel evolution (57-58), digital-native scaling (71).", "position": 5, "objective": "Contrast prior-generation retail world vs. millennial / digital-native world to motivate commerce reinvention", "confidence": 80, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 54, "type": "setup", "function": "transition", "rawType": "transition", "block": null, "metadata": { "slideType": "transition", "slideTypeCanon": { "name": "Transition", "slug": "transition", "status": "active", "canonId": "019de52d-0693-7766-9f05-887f41f8e41e", "version": 1, "description": null }, "function": "transition", "functionCanon": { "name": "Transition", "slug": "transition", "status": "active", "canonId": "019de52d-1365-7149-92aa-66df859e75fd", "version": 1, "description": null }, "density": "sparse", "densityScore": 4, "componentCount": 2, "textChars": 79, "nDataPoints": 0, "notes": null, "elementsJson": [ "headline_text" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:47.846+00", "seconds": 14.099, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/54", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-54", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.15, "w": 0.6, "x": 0.2, "y": 0.5 }, "kind": "title", "text": "Shaped by Evolution of Technology + Media", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Action title", "slug": "action-title", "status": "active", "canonId": "019de52c-fb31-734c-a0f5-a3935b73135d", "version": 1, "description": null }, "framework": null }, "subkind": "action-title", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:47.846+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "47046e0e-6673-4e01-890e-22839310d6f6", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.5, "x": 0.25, "y": 0.25 }, "kind": "title", "text": "Marketing Channels Evolve With Time...", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:47.846+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "5a2d420d-d56c-4b6d-9a7b-b83ac6e591e3", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 71, "from": 50, "loop": { "name": "04_tale_two_worlds", "slug": "04-tale-two-worlds", "status": "active", "bestFor": "Competitive analysis, benchmarking, case for change", "canonId": "019dd956-674f-750b-b15d-f082e2717f4e", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "Current State -> Desired State / Benchmark -> The Gap & Implication", "description": "Show the gap between two states to drive urgency or highlight opportunity", "familyLabel": null }, "matchId": "019de7d7-e1a8-7476-bf97-c3dc117d6e63", "evidence": "Generation comparison tables (52,53), retail-channel evolution (57-58), digital-native scaling (71).", "position": 5, "objective": "Contrast prior-generation retail world vs. millennial / digital-native world to motivate commerce reinvention", "confidence": 80, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 55, "type": "analysis", "title": "Data is adjusted for inflation in 2015 dollars.", "function": "analyze_data", "rawType": "industry_trends", "block": null, "metadata": { "slideType": "industry_trends", "slideTypeCanon": { "name": "Industry trends", "slug": "industry_trends", "status": "active", "canonId": "019de52d-0b1d-7705-a0e0-c663199cd1fa", "version": 1, "description": null }, "function": "analyze_data", "functionCanon": { "name": "Analyze data", "slug": "analyze_data", "status": "active", "canonId": "019de52d-1590-7413-8c82-cc218cff40b4", "version": 1, "description": null }, "density": "balanced", "densityScore": 43, "componentCount": 5, "textChars": 432, "nDataPoints": 63, "notes": "Data is adjusted for inflation in 2015 dollars.", "elementsJson": [ "headline_text", "line_chart", "footnote" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:36.473+00", "seconds": 2.725, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/55", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-55", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.6, "w": 0.9, "x": 0.05, "y": 0.25 }, "kind": "chart", "text": "Line chart showing advertising expenditure growth over 20 years for Internet, TV, and Radio.", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Line chart", "slug": "line", "status": "active", "canonId": "019de52c-ff62-778f-8f6c-a952ceae8677", "version": 1, "description": null }, "framework": null }, "subkind": "line", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:36.473+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "a5761346-cbc4-4087-a389-b3fdfb1cb860", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Advertising Expenditures: $60B", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:04+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f24-f3c35146ad93", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.8, "x": 0.1, "y": 0.94 }, "kind": "source-note", "text": "Source: McCann Erickson (1926-1979); Morgan Stanley Research, Magna, RAB, OAAA, IAB, NAA, PIB (1980-2015). Note: Data adjusted for inflation and shown in 2015 U.S. dollars.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:36.473+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "1e105919-980d-4122-ac05-21089ea0766b", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.65, "x": 0.02, "y": 0.02 }, "kind": "title", "text": "Each New Marketing Channel = Grew Faster... Internet > TV > Radio", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Action title", "slug": "action-title", "status": "active", "canonId": "019de52c-fb31-734c-a0f5-a3935b73135d", "version": 1, "description": null }, "framework": null }, "subkind": "action-title", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:36.473+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "e53c518d-e380-49cd-a433-85310796498c", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.8, "x": 0.1, "y": 0.17 }, "kind": "title", "text": "Advertising Expenditure Ramp by Channel, First 20 Years, USA, 1926 – 2015", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:36.473+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "7dd3c5aa-474b-4dff-bccc-82c207459ada", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-ed0c-7189-9e5d-af28ab3dfe34", "evidence": "'Internet > TV > Radio' growth ranking.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 85, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 55, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." }, { "tool": { "name": "Small Multiples", "slug": "small-multiples", "status": "active", "bestFor": null, "canonId": "019dd956-b32d-7586-b368-baa1dd388ed4", "version": 1, "bodyDocId": null, "description": "Repeating similar charts for comparison across categories or time", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "019de7d7-ed2c-717d-80d9-6bd12ee79e8f", "evidence": "20-year normalized comparison of three media eras.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 60, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 55, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 71, "from": 50, "loop": { "name": "04_tale_two_worlds", "slug": "04-tale-two-worlds", "status": "active", "bestFor": "Competitive analysis, benchmarking, case for change", "canonId": "019dd956-674f-750b-b15d-f082e2717f4e", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "Current State -> Desired State / Benchmark -> The Gap & Implication", "description": "Show the gap between two states to drive urgency or highlight opportunity", "familyLabel": null }, "matchId": "019de7d7-e1a8-7476-bf97-c3dc117d6e63", "evidence": "Generation comparison tables (52,53), retail-channel evolution (57-58), digital-native scaling (71).", "position": 5, "objective": "Contrast prior-generation retail world vs. millennial / digital-native world to motivate commerce reinvention", "confidence": 80, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 56, "type": "setup", "function": "transition", "rawType": "transition", "block": null, "metadata": { "slideType": "transition", "slideTypeCanon": { "name": "Transition", "slug": "transition", "status": "active", "canonId": "019de52d-0693-7766-9f05-887f41f8e41e", "version": 1, "description": null }, "function": "transition", "functionCanon": { "name": "Transition", "slug": "transition", "status": "active", "canonId": "019de52d-1365-7149-92aa-66df859e75fd", "version": 1, "description": null }, "density": "sparse", "densityScore": 3, "componentCount": 1, "textChars": 87, "nDataPoints": 0, "notes": null, "elementsJson": [ "headline_text" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:35.842+00", "seconds": 2.002, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/56", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-56", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.4, "w": 0.7, "x": 0.15, "y": 0.3 }, "kind": "title", "text": "Retailing Channels Evolve With Time... Shaped by Evolution of Technology + Distribution", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:35.842+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "862b5fc5-f673-4a06-b74d-49f3d212748e", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 71, "from": 50, "loop": { "name": "04_tale_two_worlds", "slug": "04-tale-two-worlds", "status": "active", "bestFor": "Competitive analysis, benchmarking, case for change", "canonId": "019dd956-674f-750b-b15d-f082e2717f4e", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "Current State -> Desired State / Benchmark -> The Gap & Implication", "description": "Show the gap between two states to drive urgency or highlight opportunity", "familyLabel": null }, "matchId": "019de7d7-e1a8-7476-bf97-c3dc117d6e63", "evidence": "Generation comparison tables (52,53), retail-channel evolution (57-58), digital-native scaling (71).", "position": 5, "objective": "Contrast prior-generation retail world vs. millennial / digital-native world to motivate commerce reinvention", "confidence": 80, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 57, "type": "analysis", "title": "The slide uses a timeline-based layout to correlate retail history with generational demographics.", "function": "establish_context", "rawType": "industry_trends", "block": null, "metadata": { "slideType": "industry_trends", "slideTypeCanon": { "name": "Industry trends", "slug": "industry_trends", "status": "active", "canonId": "019de52d-0b1d-7705-a0e0-c663199cd1fa", "version": 1, "description": null }, "function": "establish_context", "functionCanon": { "name": "Establish context", "slug": "establish_context", "status": "active", "canonId": "019de52d-1314-74e6-9074-d213dc0bdcdf", "version": 1, "description": null }, "density": "balanced", "densityScore": 30, "componentCount": 5, "textChars": 351, "nDataPoints": 0, "notes": "The slide uses a timeline-based layout to correlate retail history with generational demographics.", "elementsJson": [ "photo", "timeline_visual" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:38.268+00", "seconds": 4.359, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/57", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-57", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.15, "w": 0.95, "x": 0.02, "y": 0.48 }, "kind": "diagram", "text": "Generational overlap timeline", "attrs": null, "canon": { "kind": { "name": "Diagram", "slug": "diagram", "status": "active", "canonId": "019de52c-f9f0-734a-81de-15382ff28c65", "version": 1, "description": "Schematic or relational diagram." }, "tool": null, "subkind": { "name": "Timeline", "slug": "timeline", "status": "active", "canonId": "019de52d-03c5-73fc-84aa-4180cbf0f5cf", "version": 1, "description": null }, "framework": null }, "subkind": "timeline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:38.268+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "443b245b-debd-4ce9-a6a2-73fa08a9e517", "parentComponentId": null }, { "bbox": { "h": 0.25, "w": 0.95, "x": 0.02, "y": 0.65 }, "kind": "image", "text": "Historical photos of retail stores and e-commerce screenshot", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Photo", "slug": "photo", "status": "active", "canonId": "019de52c-fd37-757f-b4a8-ca26d4888875", "version": 1, "description": null }, "framework": null }, "subkind": "photo", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:38.268+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "84424aa2-ec06-4531-a4e3-a7bf17c0152b", "parentComponentId": null }, { "bbox": { "h": 0.25, "w": 0.95, "x": 0.02, "y": 0.2 }, "kind": "image", "text": "Historical photos of retail stores", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Photo", "slug": "photo", "status": "active", "canonId": "019de52c-fd37-757f-b4a8-ca26d4888875", "version": 1, "description": null }, "framework": null }, "subkind": "photo", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:38.268+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "99f5885f-686f-4118-a391-dd8e40efa49e", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.6, "x": 0.1, "y": 0.94 }, "kind": "source-note", "text": "Source: McKinsey; Image: Wikipedia.org, Barnumlanding.com, Cbsd.org, Dwell.com, Rediff.com, Freep.com, Corporate.walmart.com, Zdnet.com", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:38.268+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "6131eaaf-c1db-42e9-b4f7-c84bb932d17f", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.9, "x": 0.02, "y": 0.02 }, "kind": "title", "text": "Evolution of Commerce Over Past ~2 Centuries, USA = Stores → More Stores → Malls → E-Commerce", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:38.268+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "16b91da5-d32e-4e59-b2c3-aaf6e3fcd551", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Metaphor & Analogy", "slug": "metaphor-analogy", "status": "active", "bestFor": null, "canonId": "019dd956-adea-7729-bca1-70810d6238a9", "version": 1, "bodyDocId": null, "description": "Making abstract concepts concrete through familiar comparisons", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "019de7d7-ed4c-766f-8975-b5c2862927b8", "evidence": "Photo timeline analogizes retail evolution.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 65, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 57, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Picture Superiority Effect", "slug": "picture-superiority-effect", "status": "active", "bestFor": null, "canonId": "019dd956-c201-7014-bb58-3e85e3e11dfd", "version": 1, "bodyDocId": null, "description": "Pictures remembered 6x better than words - prioritize visuals over text", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "019de7d7-ed6b-7502-92e6-fad3459d6398", "evidence": "Photo gallery makes evolution visual.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 57, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [ { "matchId": "a7ed6cf7-a7d1-4735-a88e-646bde2c1db8", "evidence": "Chronological progression of retail formats", "framework": null, "confidence": 1, "extraction": { "at": "2026-05-02 17:38:38.268+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 57, "frameworkName": "timeline" } ], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 71, "from": 50, "loop": { "name": "04_tale_two_worlds", "slug": "04-tale-two-worlds", "status": "active", "bestFor": "Competitive analysis, benchmarking, case for change", "canonId": "019dd956-674f-750b-b15d-f082e2717f4e", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "Current State -> Desired State / Benchmark -> The Gap & Implication", "description": "Show the gap between two states to drive urgency or highlight opportunity", "familyLabel": null }, "matchId": "019de7d7-e1a8-7476-bf97-c3dc117d6e63", "evidence": "Generation comparison tables (52,53), retail-channel evolution (57-58), digital-native scaling (71).", "position": 5, "objective": "Contrast prior-generation retail world vs. millennial / digital-native world to motivate commerce reinvention", "confidence": 80, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 58, "type": "analysis", "title": "The slide uses a timeline-based framework to correlate the founding of major retail brands with the emergence of specific generational cohorts.", "function": "establish_context", "rawType": "industry_trends", "block": null, "metadata": { "slideType": "industry_trends", "slideTypeCanon": { "name": "Industry trends", "slug": "industry_trends", "status": "active", "canonId": "019de52d-0b1d-7705-a0e0-c663199cd1fa", "version": 1, "description": null }, "function": "establish_context", "functionCanon": { "name": "Establish context", "slug": "establish_context", "status": "active", "canonId": "019de52d-1314-74e6-9074-d213dc0bdcdf", "version": 1, "description": null }, "density": "balanced", "densityScore": 25, "componentCount": 4, "textChars": 384, "nDataPoints": 0, "notes": "The slide uses a timeline-based framework to correlate the founding of major retail brands with the emergence of specific generational cohorts.", "elementsJson": [ "headline_text", "logo_grid", "timeline_visual", "footnote" ], "confidence": 0.95, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:42.029+00", "seconds": 8.021, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/58", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-58", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.6, "w": 0.96, "x": 0.02, "y": 0.3 }, "kind": "chart", "text": "Generational overlap timeline with company logos grouped by decade", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": null, "framework": null }, "subkind": "timeline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:42.029+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "579950f7-1316-44d3-bfde-57b0fbd2040c", "parentComponentId": null }, { "bbox": { "h": 0.06, "w": 0.96, "x": 0.02, "y": 0.93 }, "kind": "source-note", "text": "Source: KPCB, Retailindustry.about.com (1900s – 1980s), Ranker (1990s), Internet Retailer “2016 Top 500 Guide” (2000s – 2010s)", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:42.029+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "ba565851-5156-47d4-9058-ef8b5a9d9c1b", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.96, "x": 0.02, "y": 0.02 }, "kind": "title", "text": "New / Emerging Retailers Optimize for Generational Change = J.C. Penney → Meijer → Walmart → Costco → Amazon → Casper", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:42.029+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "0300710e-1331-4d1e-a4b4-2d8be3bcb09a", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.96, "x": 0.02, "y": 0.21 }, "kind": "title", "text": "Retail Companies Founded by Decade (Illustrative Example), USA, 1900 – 2015", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Subtitle", "slug": "subtitle", "status": "active", "canonId": "019de52c-fb09-739d-900c-815b0d9ac526", "version": 1, "description": null }, "framework": null }, "subkind": "subtitle", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:42.029+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "8c1a9deb-9229-4efa-b56c-995f5b704974", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-edd1-7609-9725-82880ac58c0f", "evidence": "JCP->Walmart->Amazon->Casper progression in title.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 80, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 58, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." } ], "frameworks": [ { "matchId": "b2244fea-a3b1-4a76-8963-7ff1761386f2", "evidence": "The slide uses a chronological timeline to map company founding dates against generational cohorts.", "framework": null, "confidence": 1, "extraction": { "at": "2026-05-02 17:38:42.029+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 58, "frameworkName": "timeline" } ], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 71, "from": 50, "loop": { "name": "04_tale_two_worlds", "slug": "04-tale-two-worlds", "status": "active", "bestFor": "Competitive analysis, benchmarking, case for change", "canonId": "019dd956-674f-750b-b15d-f082e2717f4e", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "Current State -> Desired State / Benchmark -> The Gap & Implication", "description": "Show the gap between two states to drive urgency or highlight opportunity", "familyLabel": null }, "matchId": "019de7d7-e1a8-7476-bf97-c3dc117d6e63", "evidence": "Generation comparison tables (52,53), retail-channel evolution (57-58), digital-native scaling (71).", "position": 5, "objective": "Contrast prior-generation retail world vs. millennial / digital-native world to motivate commerce reinvention", "confidence": 80, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 59, "type": "setup", "function": "transition", "rawType": "section_divider", "block": null, "metadata": { "slideType": "section_divider", "slideTypeCanon": { "name": "Section divider", "slug": "section_divider", "status": "active", "canonId": "019de52d-066a-7402-9554-6ae504999041", "version": 1, "description": null }, "function": "transition", "functionCanon": { "name": "Transition", "slug": "transition", "status": "active", "canonId": "019de52d-1365-7149-92aa-66df859e75fd", "version": 1, "description": null }, "density": "sparse", "densityScore": 2, "componentCount": 1, "textChars": 44, "nDataPoints": 0, "notes": null, "elementsJson": [ "headline_text" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:35.691+00", "seconds": 1.566, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/59", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-59", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.2, "w": 0.7, "x": 0.15, "y": 0.4 }, "kind": "title", "text": "Millennials = Impacting + Evolving Retail...", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:35.691+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "a2330354-ed6b-4ad0-842d-9006037258e2", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 71, "from": 50, "loop": { "name": "04_tale_two_worlds", "slug": "04-tale-two-worlds", "status": "active", "bestFor": "Competitive analysis, benchmarking, case for change", "canonId": "019dd956-674f-750b-b15d-f082e2717f4e", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "Current State -> Desired State / Benchmark -> The Gap & Implication", "description": "Show the gap between two states to drive urgency or highlight opportunity", "familyLabel": null }, "matchId": "019de7d7-e1a8-7476-bf97-c3dc117d6e63", "evidence": "Generation comparison tables (52,53), retail-channel evolution (57-58), digital-native scaling (71).", "position": 5, "objective": "Contrast prior-generation retail world vs. millennial / digital-native world to motivate commerce reinvention", "confidence": 80, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 60, "type": "resolution", "title": "Part of the KPCB Internet Trends 2016 deck.", "function": "size_opportunity", "rawType": "market_sizing", "block": null, "metadata": { "slideType": "market_sizing", "slideTypeCanon": { "name": "Market sizing", "slug": "market_sizing", "status": "active", "canonId": "019de52d-08c8-756c-8664-733b73a7ee7b", "version": 1, "description": null }, "function": "size_opportunity", "functionCanon": { "name": "Size opportunity", "slug": "size_opportunity", "status": "active", "canonId": "019de52d-147b-7568-8828-a74a27697618", "version": 1, "description": null }, "density": "balanced", "densityScore": 42, "componentCount": 5, "textChars": 462, "nDataPoints": 16, "notes": "Part of the KPCB Internet Trends 2016 deck.", "elementsJson": [ "headline_text", "bar_chart_vertical", "bar_chart_vertical", "footnote" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:39.586+00", "seconds": 5.3, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/60", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-60", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.6, "w": 0.4, "x": 0.55, "y": 0.2 }, "kind": "chart", "text": "Household Expenditure, Annual Average, by Age of Reference Person, USA, 2014", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Vertical bar chart", "slug": "bar-vertical", "status": "active", "canonId": "019de52c-fe9d-70f2-b3b7-a9ae294f5917", "version": 1, "description": null }, "framework": null }, "subkind": "bar-vertical", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:39.586+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "2d3dd5ca-02f5-4888-a7b5-805541d4e02c", "parentComponentId": null }, { "bbox": { "h": 0.6, "w": 0.4, "x": 0.05, "y": 0.2 }, "kind": "chart", "text": "Population by Age Range, USA, 2014", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Vertical bar chart", "slug": "bar-vertical", "status": "active", "canonId": "019de52c-fe9d-70f2-b3b7-a9ae294f5917", "version": 1, "description": null }, "framework": null }, "subkind": "bar-vertical", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:39.586+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "4b12144c-1191-4ad5-bb3e-a51130b3da25", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Annual Expenditure: 27%", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:07+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f26-7969b4d33739", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.5, "x": 0.05, "y": 0.95 }, "kind": "source-note", "text": "Source: U.S. Census Bureau '2010-2014 American Community Survey 5-Year Estimates', Bureau of Labor Statistics 'Consumer Expenditure Survey 2014'. Note: Millennials defined as persons born between 1980 - 2000.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:39.586+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "b334c8ca-b77c-41cf-8f8f-ff66efc5785c", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.9, "x": 0.05, "y": 0.05 }, "kind": "title", "text": "Millennials @ 27% of Population = Largest Generation, USA... Spending Power Should Rise Significantly in Next 10-20 Years", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Action title", "slug": "action-title", "status": "active", "canonId": "019de52c-fb31-734c-a0f5-a3935b73135d", "version": 1, "description": null }, "framework": null }, "subkind": "action-title", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:39.586+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "e6416b4e-4c5e-4ca4-bab9-4c39da5a3e75", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-edf2-715a-877d-8f449a73856a", "evidence": "Millennials = 27% population, rising spend.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 85, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 60, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." }, { "tool": { "name": "Color Strategy", "slug": "color-strategy", "status": "active", "bestFor": null, "canonId": "019dd956-b202-77cf-8a6e-f445b08c0fd3", "version": 1, "bodyDocId": null, "description": "Using color for emphasis, categories, sentiment, and hierarchy", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "019de7d7-ee13-7115-8732-d4964b90b79c", "evidence": "Green bars isolate millennial cohort.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 75, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 60, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 71, "from": 50, "loop": { "name": "04_tale_two_worlds", "slug": "04-tale-two-worlds", "status": "active", "bestFor": "Competitive analysis, benchmarking, case for change", "canonId": "019dd956-674f-750b-b15d-f082e2717f4e", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "Current State -> Desired State / Benchmark -> The Gap & Implication", "description": "Show the gap between two states to drive urgency or highlight opportunity", "familyLabel": null }, "matchId": "019de7d7-e1a8-7476-bf97-c3dc117d6e63", "evidence": "Generation comparison tables (52,53), retail-channel evolution (57-58), digital-native scaling (71).", "position": 5, "objective": "Contrast prior-generation retail world vs. millennial / digital-native world to motivate commerce reinvention", "confidence": 80, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 61, "type": "analysis", "title": "Data source: U.S. Census Bureau, Federal Reserve Bank of St. Louis (5/16).", "function": "analyze_data", "rawType": "industry_trends", "block": null, "metadata": { "slideType": "industry_trends", "slideTypeCanon": { "name": "Industry trends", "slug": "industry_trends", "status": "active", "canonId": "019de52d-0b1d-7705-a0e0-c663199cd1fa", "version": 1, "description": null }, "function": "analyze_data", "functionCanon": { "name": "Analyze data", "slug": "analyze_data", "status": "active", "canonId": "019de52d-1590-7413-8c82-cc218cff40b4", "version": 1, "description": null }, "density": "balanced", "densityScore": 43, "componentCount": 5, "textChars": 484, "nDataPoints": 16, "notes": "Data source: U.S. Census Bureau, Federal Reserve Bank of St. Louis (5/16).", "elementsJson": [ "headline_text", "line_chart", "callout_box", "footnote" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:36.609+00", "seconds": 2.214, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/61", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-61", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.08, "w": 0.12, "x": 0.78, "y": 0.24 }, "kind": "callout", "text": "$340B+ of E-Commerce Spend", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": null, "subkind": { "name": "Primary callout", "slug": "primary", "status": "active", "canonId": "019de52c-fbd1-70eb-a9ce-8997f8674c1d", "version": 1, "description": null }, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:36.609+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "997db39e-3ba4-4783-9e9c-28fc929379c7", "parentComponentId": null }, { "bbox": { "h": 0.7, "w": 0.8, "x": 0.1, "y": 0.15 }, "kind": "chart", "text": "E-Commerce as % of Total Retail Sales, USA, 2000 – 2015", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Line chart", "slug": "line", "status": "active", "canonId": "019de52c-ff62-778f-8f6c-a952ceae8677", "version": 1, "description": null }, "framework": null }, "subkind": "line", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:36.609+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "695ac64e-94cb-4407-94fa-1d3bd17bede9", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "E-commerce as % of Total Retail Sales: 10%", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:07+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f26-ff290c293988", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.7, "x": 0.05, "y": 0.92 }, "kind": "source-note", "text": "Source: U.S. Census Bureau, Federal Reserve Bank of St. Louis (5/16). Note: E-commerce and retail sales data are seasonally adjusted. Retail sales exclude food services, retail trade from gasoline stations, and retail trade from automobiles and other motor vehicles.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:36.609+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "6992538e-a1c9-449f-b6d1-ab5a7ab32a0b", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.9, "x": 0.05, "y": 0.05 }, "kind": "title", "text": "Internet Continues to Ramp as Retail Distribution Channel = 10% of Retail Sales vs. <2% in 2000", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Action title", "slug": "action-title", "status": "active", "canonId": "019de52c-fb31-734c-a0f5-a3935b73135d", "version": 1, "description": null }, "framework": null }, "subkind": "action-title", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:36.609+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "94c5f8a8-b3db-457a-8f29-3424afcea483", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-ee33-752d-97f4-9b24caccf2c4", "evidence": "10% e-comm vs <2% in 2000.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 85, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 61, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." } ], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 71, "from": 50, "loop": { "name": "04_tale_two_worlds", "slug": "04-tale-two-worlds", "status": "active", "bestFor": "Competitive analysis, benchmarking, case for change", "canonId": "019dd956-674f-750b-b15d-f082e2717f4e", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "Current State -> Desired State / Benchmark -> The Gap & Implication", "description": "Show the gap between two states to drive urgency or highlight opportunity", "familyLabel": null }, "matchId": "019de7d7-e1a8-7476-bf97-c3dc117d6e63", "evidence": "Generation comparison tables (52,53), retail-channel evolution (57-58), digital-native scaling (71).", "position": 5, "objective": "Contrast prior-generation retail world vs. millennial / digital-native world to motivate commerce reinvention", "confidence": 80, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 62, "type": "setup", "title": "This is a classic KPCB Internet Trends slide, using a simple equation to frame a complex industry shift.", "function": "summarize", "rawType": "thesis_headline", "block": null, "metadata": { "slideType": "thesis_headline", "slideTypeCanon": { "name": "Thesis headline", "slug": "thesis_headline", "status": "active", "canonId": "019de52d-073a-70cb-b9f6-772a597bb5af", "version": 1, "description": null }, "function": "summarize", "functionCanon": { "name": "Summarize", "slug": "summarize", "status": "active", "canonId": "019de52d-1541-704f-b86f-bf7b75056373", "version": 1, "description": null }, "density": "sparse", "densityScore": 6, "componentCount": 2, "textChars": 134, "nDataPoints": 0, "notes": "This is a classic KPCB Internet Trends slide, using a simple equation to frame a complex industry shift.", "elementsJson": [ "headline_text" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:38.033+00", "seconds": 3.568, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/62", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-62", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "Retail = Technology + Media + Distribution Increasingly Intertwined", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:07+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f25-bbe681c21a06", "parentComponentId": null }, { "bbox": { "h": 0.3, "w": 0.8, "x": 0.1, "y": 0.35 }, "kind": "title", "text": "Retail = Technology + Media + Distribution Increasingly Intertwined", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:38.033+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "287419bd-dbf2-49c0-bd4a-6d70c537bae1", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 71, "from": 50, "loop": { "name": "04_tale_two_worlds", "slug": "04-tale-two-worlds", "status": "active", "bestFor": "Competitive analysis, benchmarking, case for change", "canonId": "019dd956-674f-750b-b15d-f082e2717f4e", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "Current State -> Desired State / Benchmark -> The Gap & Implication", "description": "Show the gap between two states to drive urgency or highlight opportunity", "familyLabel": null }, "matchId": "019de7d7-e1a8-7476-bf97-c3dc117d6e63", "evidence": "Generation comparison tables (52,53), retail-channel evolution (57-58), digital-native scaling (71).", "position": 5, "objective": "Contrast prior-generation retail world vs. millennial / digital-native world to motivate commerce reinvention", "confidence": 80, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 63, "type": "evidence", "title": "The slide uses a timeline-like structure to show the progression of Amazon's private label expansion.", "function": "illustrate_case", "rawType": "client_example", "block": null, "metadata": { "slideType": "client_example", "slideTypeCanon": { "name": "Client example", "slug": "client_example", "status": "active", "canonId": "019de52d-0c87-77cb-9867-613ae22e95ac", "version": 1, "description": null }, "function": "illustrate_case", "functionCanon": { "name": "Illustrate case", "slug": "illustrate_case", "status": "active", "canonId": "019de52d-13b4-772c-bb73-1873612a7463", "version": 1, "description": null }, "density": "dense", "densityScore": 68, "componentCount": 7, "textChars": 819, "nDataPoints": 6, "notes": "The slide uses a timeline-like structure to show the progression of Amazon's private label expansion.", "elementsJson": [ "headline_text", "photo", "other" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:37.629+00", "seconds": 2.946, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/63", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-63", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.35, "w": 0.9, "x": 0.05, "y": 0.35 }, "kind": "image", "text": "Product images for Outdoor Furniture, Home Goods, Electronic Accessories, and Fashion Brands", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Illustration", "slug": "illustration", "status": "active", "canonId": "019de52c-fe76-7772-a5ac-c0b7294d7615", "version": 1, "description": null }, "framework": null }, "subkind": "illustration", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:37.629+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "52efb8ab-877f-4344-b9f9-3a968a2a07df", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.9, "x": 0.05, "y": 0.2 }, "kind": "list", "text": "Outdoor Furniture (Strathwood, 2004); Home Goods (Pinzon, 2008); Electronic Accessories (AmazonBasics, 2009); Fashion Brands (2015)", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:37.629+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "4fe4db87-663e-4913-b8be-bd5a72a6f698", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.9, "x": 0.05, "y": 0.0075 }, "kind": "metric", "text": "11% Home & Garden; 10% Household; 21% Electronics; 12% Men's Apparel; 9% Women's Clothing", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": null, "subkind": { "name": "Big number", "slug": "big-number", "status": "active", "canonId": "019de52c-fc70-70c8-b965-0584548a9204", "version": 1, "description": null }, "framework": null }, "subkind": "big-number", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:37.629+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "8d6cfa02-66bc-4cd0-8c8e-1792b74b23f2", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Percentage of total Amazon purchasers: 21%", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:08+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f27-468a0837a6c6", "parentComponentId": null }, { "bbox": { "h": 0.06, "w": 0.9, "x": 0.05, "y": 0.92 }, "kind": "source-note", "text": "Source: Internet Retailer, Bizjournals.com, Cowen & Company Internet Retail Tracker. Image: Amazon.com, Milled.com. Note: Purchaser data based on Cowen & Company consumer tracking survey (n=~2,500), as of 3/16. Data shown is percentage of Amazon purchasers who purchased items from a specific category.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:37.629+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "b7e35596-db87-465d-b8a9-f169334ab95b", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.96, "x": 0.02, "y": 0.02 }, "kind": "title", "text": "Retail – The New Normal = Drive Transaction Volume → Collect / Use Data → Launch New Products / Private Labels...", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:37.629+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "814b1f67-f951-4c60-99c8-b28741cbed14", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.58, "x": 0.21, "y": 0.0016 }, "kind": "title", "text": "Amazon – Private Label Brand Launches, 2004 – 2015", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Subtitle", "slug": "subtitle", "status": "active", "canonId": "019de52c-fb09-739d-900c-815b0d9ac526", "version": 1, "description": null }, "framework": null }, "subkind": "subtitle", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:37.629+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "74efbf77-2396-4c35-9310-17bb1efb38b2", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Audience Definition", "slug": "audience-definition", "status": "active", "bestFor": null, "canonId": "019dd956-7f2a-775d-aeee-ff099bcb7756", "version": 1, "bodyDocId": null, "description": "Six key questions: Who are they? What do they know? What do they believe? What do they care about? What do they fear? What decisions can they make?", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "bdf8745c-0e37-44b2-9774-0236321cd61a", "evidence": "title/headline: Retail – The New Normal = Drive Transaction Volume → Collect / Use Data → Launch New Products / Private Labels...", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:00:37.031515+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 63, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Data Story Arc", "slug": "data-story-arc", "status": "active", "bestFor": null, "canonId": "019dd956-9c30-728e-b974-d3fb123dcf5a", "version": 1, "bodyDocId": null, "description": "Context → Conflict → Insight → Implication structure for data narratives", "familyLabel": null, "categoryName": "Loop", "categorySlug": "loop" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "5792d424-21f6-479f-995b-5574d28eb982", "evidence": "metric/big-number: 11% Home & Garden; 10% Household; 21% Electronics; 12% Men's Apparel; 9% Women's Clothing", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 0.6, "extraction": { "at": "2026-07-16 22:00:37.068642+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 63, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 71, "from": 50, "loop": { "name": "04_tale_two_worlds", "slug": "04-tale-two-worlds", "status": "active", "bestFor": "Competitive analysis, benchmarking, case for change", "canonId": "019dd956-674f-750b-b15d-f082e2717f4e", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "Current State -> Desired State / Benchmark -> The Gap & Implication", "description": "Show the gap between two states to drive urgency or highlight opportunity", "familyLabel": null }, "matchId": "019de7d7-e1a8-7476-bf97-c3dc117d6e63", "evidence": "Generation comparison tables (52,53), retail-channel evolution (57-58), digital-native scaling (71).", "position": 5, "objective": "Contrast prior-generation retail world vs. millennial / digital-native world to motivate commerce reinvention", "confidence": 80, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 64, "type": "analysis", "title": "The slide uses a process-flow style layout to show the blurring lines between traditional retail roles.", "function": "present_framework", "rawType": "market_landscape", "block": null, "metadata": { "slideType": "market_landscape", "slideTypeCanon": { "name": "Market landscape", "slug": "market_landscape", "status": "active", "canonId": "019de52d-0b6d-75db-a946-9ac362e3afc2", "version": 1, "description": null }, "function": "present_framework", "functionCanon": { "name": "Present framework", "slug": "present_framework", "status": "active", "canonId": "019de52d-1403-7667-9100-d2ac6709f750", "version": 1, "description": null }, "density": "dense", "densityScore": 56, "componentCount": 6, "textChars": 976, "nDataPoints": 0, "notes": "The slide uses a process-flow style layout to show the blurring lines between traditional retail roles.", "elementsJson": [ "headline_text", "paragraph", "process_diagram", "photo" ], "confidence": 0.95, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:37.557+00", "seconds": 2.842, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/64", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-64", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "Less differentiation between products / brands / retailers as single products evolve into brands + consumers shop directly from brands + retailers leverage insights to develop own vertically-integrated brands...New distribution models emerging enabling direct-to-consumer commerce in the home...", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:07+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f26-14269a5641f3", "parentComponentId": null }, { "bbox": { "h": 0.65, "w": 0.9, "x": 0.05, "y": 0.25 }, "kind": "diagram", "text": "Flow from Products to Brands to Retailers to New Distribution Models", "attrs": null, "canon": { "kind": { "name": "Diagram", "slug": "diagram", "status": "active", "canonId": "019de52c-f9f0-734a-81de-15382ff28c65", "version": 1, "description": "Schematic or relational diagram." }, "tool": null, "subkind": { "name": "Process flow", "slug": "process", "status": "active", "canonId": "019de52d-039c-718f-ad3a-efe9c4b3c838", "version": 1, "description": null }, "framework": null }, "subkind": "process", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:37.557+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "20316755-0107-45cc-a37b-2cc61e28a718", "parentComponentId": null }, { "bbox": { "h": 0.5, "w": 0.9, "x": 0.05, "y": 0.35 }, "kind": "image", "text": "Casper, Warby Parker, Thrive Market, Stitch Fix imagery", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Photo", "slug": "photo", "status": "active", "canonId": "019de52c-fd37-757f-b4a8-ca26d4888875", "version": 1, "description": null }, "framework": null }, "subkind": "photo", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:37.557+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "7278361b-9903-42e0-882c-d1e52568f5b0", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.9, "x": 0.05, "y": 0.13 }, "kind": "paragraph", "text": "Less differentiation between products / brands / retailers as single products evolve into brands + consumers shop directly from brands + retailers leverage insights to develop own vertically-integrated brands...New distribution models emerging enabling direct-to-consumer commerce in the home...", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:37.557+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "cb29bf5d-2ec5-4f7b-9096-d1c98fd286e5", "parentComponentId": null }, { "bbox": { "h": 0.02, "w": 0.5, "x": 0.1, "y": 0.95 }, "kind": "source-note", "text": "Image: Myjane.ru, CNBC.com, Vanityfair.com, Insidebusinessnyc.com, Funandfit.org, Thrivemarket.com, Thedustyrosestyle.com, Stitchfix.tumblr.com", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:37.557+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "c28d07c3-421b-49fb-b25d-d32d12845e9a", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.9, "x": 0.05, "y": 0.02 }, "kind": "title", "text": "...Products Become Brands...Brands Become Retailers... Retailers Become Products / Brands...Retailers Come Into Homes...", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:37.557+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "2bfb85df-2f0a-4f66-a09d-fb7c0c04a5c5", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Audience Persona", "slug": "audience-persona", "status": "active", "bestFor": null, "canonId": "019dd956-7fe3-74e9-88b8-be0bea34f219", "version": 1, "bodyDocId": null, "description": "Detailed fictional profile of typical audience member including goals, frustrations, and context", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "bc73aa55-b34a-4d24-ac0b-b9dc44aa5084", "evidence": "paragraph/paragraph: Less differentiation between products / brands / retailers as single products evolve into brands + consumers shop directly from brands + retailers leverage insights to develop own vertically-integrated brands...", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.6, "extraction": { "at": "2026-07-16 22:00:37.14073+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 64, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Metaphor & Analogy", "slug": "metaphor-analogy", "status": "active", "bestFor": null, "canonId": "019dd956-adea-7729-bca1-70810d6238a9", "version": 1, "bodyDocId": null, "description": "Making abstract concepts concrete through familiar comparisons", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "019de7d7-ee52-7618-8ace-8a170fc2a30d", "evidence": "Casper/Warby/Thrive/Stitch Fix as case-mosaic.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 65, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 64, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [ { "matchId": "5b2b82f0-d2fa-4b55-a562-53d26aba0c6f", "evidence": "The slide illustrates the vertical integration and blurring of roles in the retail value chain.", "framework": null, "confidence": 0.8, "extraction": { "at": "2026-05-02 17:38:37.557+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 64, "frameworkName": "Value Chain" } ], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 71, "from": 50, "loop": { "name": "04_tale_two_worlds", "slug": "04-tale-two-worlds", "status": "active", "bestFor": "Competitive analysis, benchmarking, case for change", "canonId": "019dd956-674f-750b-b15d-f082e2717f4e", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "Current State -> Desired State / Benchmark -> The Gap & Implication", "description": "Show the gap between two states to drive urgency or highlight opportunity", "familyLabel": null }, "matchId": "019de7d7-e1a8-7476-bf97-c3dc117d6e63", "evidence": "Generation comparison tables (52,53), retail-channel evolution (57-58), digital-native scaling (71).", "position": 5, "objective": "Contrast prior-generation retail world vs. millennial / digital-native world to motivate commerce reinvention", "confidence": 80, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 65, "type": "analysis", "title": "KPCB Internet Trends 2016 slide 64.", "function": "present_framework", "rawType": "industry_trends", "block": null, "metadata": { "slideType": "industry_trends", "slideTypeCanon": { "name": "Industry trends", "slug": "industry_trends", "status": "active", "canonId": "019de52d-0b1d-7705-a0e0-c663199cd1fa", "version": 1, "description": null }, "function": "present_framework", "functionCanon": { "name": "Present framework", "slug": "present_framework", "status": "active", "canonId": "019de52d-1403-7667-9100-d2ac6709f750", "version": 1, "description": null }, "density": "overcrowded", "densityScore": 76, "componentCount": 8, "textChars": 880, "nDataPoints": 7, "notes": "KPCB Internet Trends 2016 slide 64.", "elementsJson": [ "headline_text", "paragraph", "photo", "bar_chart_horizontal", "footnote" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:38.452+00", "seconds": 3.637, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/65", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-65", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "Warby Parker @ $3K Annual Sales per Square Foot = One of Top Grossing Physical Retailers per Square Foot in USA", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:07+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f27-14ef4efb9b95", "parentComponentId": null }, { "bbox": { "h": 0.3, "w": 0.4, "x": 0.55, "y": 0.6 }, "kind": "chart", "text": "Top 5 Physical Retailers by Sales / Sq. Ft., USA, 2015*", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Horizontal bar chart", "slug": "bar-horizontal", "status": "active", "canonId": "019de52c-fec4-7221-986b-1cb5f5e84b1f", "version": 1, "description": null }, "framework": null }, "subkind": "bar-horizontal", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:38.452+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "f6012b01-421f-43e2-8fc1-3a496a6c389d", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.25, "x": 0.56, "y": 0.35 }, "kind": "image", "text": "Warby Parker store front", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Photo", "slug": "photo", "status": "active", "canonId": "019de52c-fd37-757f-b4a8-ca26d4888875", "version": 1, "description": null }, "framework": null }, "subkind": "photo", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:38.452+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "76ee334c-aa86-475b-8d2b-8b24fe88266b", "parentComponentId": null }, { "bbox": { "h": 0.45, "w": 0.35, "x": 0.14, "y": 0.4 }, "kind": "image", "text": "Neiman Marcus store and mobile app", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Photo", "slug": "photo", "status": "active", "canonId": "019de52c-fd37-757f-b4a8-ca26d4888875", "version": 1, "description": null }, "framework": null }, "subkind": "photo", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:38.452+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "fa27baa0-d8c4-4bc1-9334-b0b31fd67592", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Sales per Square Foot: $5,546", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:07+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f27-1b84e58644c4", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.9, "x": 0.05, "y": 0.13 }, "kind": "paragraph", "text": "Physical Retailers Evolving & Increasing E-Commerce Presence...New Products / Brands / Retailers Launching Physical Stores / Showrooms / Retail Channels...Omni-Channel is Key...Warby Parker @ $3K Annual Sales per Square Foot = One of Top Grossing Physical Retailers per Square Foot in USA", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:38.452+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "1e3410b5-e540-4f28-bed7-5de544625e56", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.5, "x": 0.05, "y": 0.95 }, "kind": "source-note", "text": "Source: Company filings, Fast Company, Time, eMarketer. Image: Pursuitist.com, Digiday.com, Warbyparker.com. Note: *Excludes gas stations. Based on sales figures from trailing 12 months. Warby Parker figures as of February 2015.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:38.452+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "61b689c9-4a94-40ed-a497-bbdae14d2809", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.9, "x": 0.05, "y": 0.05 }, "kind": "title", "text": "...Physical Retailers Become Digital Retailers... Digital Retailers Become Data-Optimized Physical Retailers...", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:38.452+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "2d6dc09f-2baa-407b-b8c9-b545ff889ea3", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Contrast Pairs", "slug": "contrast-pairs", "status": "active", "bestFor": null, "canonId": "019dd956-9b77-70d3-88b1-f34e26f60860", "version": 1, "bodyDocId": null, "description": "Creating tension through opposites: Before↔After, Problem↔Solution, Pain↔Relief", "familyLabel": null, "categoryName": "Loop", "categorySlug": "loop" }, "agent": "Storyteller", "layer": "loop", "agents": [ "Storyteller" ], "matchId": "019de7d7-ee71-72ae-9124-8c560a5697a4", "evidence": "Neiman Marcus -> digital vs Warby Parker -> physical.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 75, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 65, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Chart Selection Guide", "slug": "chart-selection-guide", "status": "active", "bestFor": null, "canonId": "019dd956-b1a0-700b-ba17-0e16c4d5bcae", "version": 1, "bodyDocId": null, "description": "Choosing the right chart type for your data and message", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "99b7d7fb-c275-4055-b6a8-6b1e7dc008d2", "evidence": "chart/bar-horizontal: Top 5 Physical Retailers by Sales / Sq. Ft., USA, 2015*", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.6, "extraction": { "at": "2026-07-16 22:00:37.215824+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 65, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [ { "matchId": "2d01bb49-588e-482e-bd2e-95ffea73c5b2", "evidence": "The slide explicitly discusses the convergence of physical and digital retail channels.", "framework": null, "confidence": 0.9, "extraction": { "at": "2026-05-02 17:38:38.452+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 65, "frameworkName": "omni-channel-retail" } ], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 71, "from": 50, "loop": { "name": "04_tale_two_worlds", "slug": "04-tale-two-worlds", "status": "active", "bestFor": "Competitive analysis, benchmarking, case for change", "canonId": "019dd956-674f-750b-b15d-f082e2717f4e", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "Current State -> Desired State / Benchmark -> The Gap & Implication", "description": "Show the gap between two states to drive urgency or highlight opportunity", "familyLabel": null }, "matchId": "019de7d7-e1a8-7476-bf97-c3dc117d6e63", "evidence": "Generation comparison tables (52,53), retail-channel evolution (57-58), digital-native scaling (71).", "position": 5, "objective": "Contrast prior-generation retail world vs. millennial / digital-native world to motivate commerce reinvention", "confidence": 80, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 66, "type": "evidence", "title": "The slide uses a three-column layout to show product hardware, social proof via Nextdoor, and geographic network expansion.", "function": "illustrate_case", "rawType": "customer_journey", "block": null, "metadata": { "slideType": "customer_journey", "slideTypeCanon": { "name": "Customer journey", "slug": "customer_journey", "status": "active", "canonId": "019de52d-0966-70ce-afe3-bc7c98ffc8c9", "version": 1, "description": null }, "function": "illustrate_case", "functionCanon": { "name": "Illustrate case", "slug": "illustrate_case", "status": "active", "canonId": "019de52d-13b4-772c-bb73-1873612a7463", "version": 1, "description": null }, "density": "balanced", "densityScore": 28, "componentCount": 5, "textChars": 310, "nDataPoints": 0, "notes": "The slide uses a three-column layout to show product hardware, social proof via Nextdoor, and geographic network expansion.", "elementsJson": [ "headline_text", "photo", "screenshot", "map" ], "confidence": 0.95, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:37.614+00", "seconds": 2.69, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/66", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-66", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.7, "w": 0.28, "x": 0.68, "y": 0.2 }, "kind": "chart", "text": "Geographic proliferation of Ring devices over time", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": null, "framework": null }, "subkind": "map", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:37.614+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "1885ce53-907e-4444-9030-712f3ced9e01", "parentComponentId": null }, { "bbox": { "h": 0.7, "w": 0.28, "x": 0.04, "y": 0.15 }, "kind": "image", "text": "Ring hardware and app interface screenshots", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Illustration", "slug": "illustration", "status": "active", "canonId": "019de52c-fe76-7772-a5ac-c0b7294d7615", "version": 1, "description": null }, "framework": null }, "subkind": "illustration", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:37.614+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "c2565c0f-0118-47bd-b12e-714f075f429d", "parentComponentId": null }, { "bbox": { "h": 0.7, "w": 0.3, "x": 0.35, "y": 0.2 }, "kind": "image", "text": "Nextdoor social feed showing user testimonials about Ring", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Screenshot", "slug": "screenshot", "status": "active", "canonId": "019de52c-fd87-7509-8391-3d79fb339379", "version": 1, "description": null }, "framework": null }, "subkind": "screenshot", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:37.614+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "f96abd16-e161-4cbd-8098-0a12642a2b73", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.2, "x": 0.04, "y": 0.95 }, "kind": "source-note", "text": "Source: Ring, Nextdoor, WLKY News. Image: Ring.com, Whas11.com", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:37.614+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "154712d6-f1f7-46d0-8a51-1bb5dd638115", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.94, "x": 0.03, "y": 0.03 }, "kind": "title", "text": "...Connected Product Users Easily Notified When to Buy / Upgrade... Can Benefit from Viral Sharing", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:37.614+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "6b6ec4cb-bcdb-48b1-98ee-c424a6aa3f26", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [ { "matchId": "0f5a3593-79f7-4b41-a3b9-f6490f3424a5", "evidence": "The slide demonstrates how product usage leads to viral sharing and community growth, creating a self-reinforcing loop.", "framework": null, "confidence": 0.85, "extraction": { "at": "2026-05-02 17:38:37.614+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 66, "frameworkName": "network-effects-flywheel" } ], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 71, "from": 50, "loop": { "name": "04_tale_two_worlds", "slug": "04-tale-two-worlds", "status": "active", "bestFor": "Competitive analysis, benchmarking, case for change", "canonId": "019dd956-674f-750b-b15d-f082e2717f4e", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "Current State -> Desired State / Benchmark -> The Gap & Implication", "description": "Show the gap between two states to drive urgency or highlight opportunity", "familyLabel": null }, "matchId": "019de7d7-e1a8-7476-bf97-c3dc117d6e63", "evidence": "Generation comparison tables (52,53), retail-channel evolution (57-58), digital-native scaling (71).", "position": 5, "objective": "Contrast prior-generation retail world vs. millennial / digital-native world to motivate commerce reinvention", "confidence": 80, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 67, "type": "setup", "function": "summarize", "rawType": "thesis_headline", "block": null, "metadata": { "slideType": "thesis_headline", "slideTypeCanon": { "name": "Thesis headline", "slug": "thesis_headline", "status": "active", "canonId": "019de52d-073a-70cb-b9f6-772a597bb5af", "version": 1, "description": null }, "function": "summarize", "functionCanon": { "name": "Summarize", "slug": "summarize", "status": "active", "canonId": "019de52d-1541-704f-b86f-bf7b75056373", "version": 1, "description": null }, "density": "sparse", "densityScore": 13, "componentCount": 3, "textChars": 234, "nDataPoints": 0, "notes": null, "elementsJson": [ "paragraph" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:37.406+00", "seconds": 2.308, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/67", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-67", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "Bolstered by Always-On Connectivity + Hyper-Targeted Marketing + Images + Personalization", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:07+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f26-30f400c10f19", "parentComponentId": null }, { "bbox": { "h": 0.25, "w": 0.72, "x": 0.14, "y": 0.56 }, "kind": "paragraph", "text": "Bolstered by Always-On Connectivity + Hyper-Targeted Marketing + Images + Personalization", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:37.406+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "31635fbb-3ecd-4d2a-8d36-bb2d2b7c4be2", "parentComponentId": null }, { "bbox": { "h": 0.25, "w": 0.72, "x": 0.14, "y": 0.19 }, "kind": "title", "text": "Internet-Enabled Retailers / Products / Brands On Rise =", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:37.406+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "1f7f4f1b-d5ff-413c-8180-f9acd588b476", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 71, "from": 50, "loop": { "name": "04_tale_two_worlds", "slug": "04-tale-two-worlds", "status": "active", "bestFor": "Competitive analysis, benchmarking, case for change", "canonId": "019dd956-674f-750b-b15d-f082e2717f4e", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "Current State -> Desired State / Benchmark -> The Gap & Implication", "description": "Show the gap between two states to drive urgency or highlight opportunity", "familyLabel": null }, "matchId": "019de7d7-e1a8-7476-bf97-c3dc117d6e63", "evidence": "Generation comparison tables (52,53), retail-channel evolution (57-58), digital-native scaling (71).", "position": 5, "objective": "Contrast prior-generation retail world vs. millennial / digital-native world to motivate commerce reinvention", "confidence": 80, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 68, "type": "evidence", "title": "Part of KPCB Internet Trends 2016 deck.", "function": "illustrate_case", "rawType": "case_study", "block": null, "metadata": { "slideType": "case_study", "slideTypeCanon": { "name": "Case study", "slug": "case_study", "status": "active", "canonId": "019de52d-0b95-7344-8090-926f3b8e92c8", "version": 1, "description": null }, "function": "illustrate_case", "functionCanon": { "name": "Illustrate case", "slug": "illustrate_case", "status": "active", "canonId": "019de52d-13b4-772c-bb73-1873612a7463", "version": 1, "description": null }, "density": "overcrowded", "densityScore": 87, "componentCount": 10, "textChars": 1304, "nDataPoints": 3, "notes": "Part of KPCB Internet Trends 2016 deck.", "elementsJson": [ "headline_text", "screenshot", "paragraph" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:38.288+00", "seconds": 2.948, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/68", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-68", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "Every $100 we spent on Facebook was worth $1,000 in sales.", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:07+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f26-5abab3fde6ef", "parentComponentId": null }, { "bbox": { "h": 0.35, "w": 0.25, "x": 0.6, "y": 0.285 }, "kind": "image", "text": "Stance Instagram ad", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Screenshot", "slug": "screenshot", "status": "active", "canonId": "019de52c-fd87-7509-8391-3d79fb339379", "version": 1, "description": null }, "framework": null }, "subkind": "screenshot", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:38.288+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "c44684ca-4d6a-404d-83c4-59dfe6e04153", "parentComponentId": null }, { "bbox": { "h": 0.35, "w": 0.25, "x": 0.13, "y": 0.285 }, "kind": "image", "text": "Combatant Gentlemen Facebook ad", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Screenshot", "slug": "screenshot", "status": "active", "canonId": "019de52c-fd87-7509-8391-3d79fb339379", "version": 1, "description": null }, "framework": null }, "subkind": "screenshot", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:38.288+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "e6acb17d-f924-4c58-9124-3f5a1806c8db", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Return on Ad Spend: 36%", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:07+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f26-632e6f2a2630", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.45, "x": 0.53, "y": 0.76 }, "kind": "paragraph", "text": "Stance targeted the ads to adults whose interests include the Star Wars movies, but excluded those interested only in specific Star Wars characters. The 'Sock Wars' campaign generated an impressive 36% boost to return on ad spend.", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:38.288+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "15523abc-e89e-4614-be87-4b0f6bdb3fec", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.45, "x": 0.53, "y": 0.64 }, "kind": "paragraph", "text": "After noticing that its Instagram placements were outperforming all other placement types in its Star Wars collection launch campaign, Stance decided to create a dedicated ad set to maximize its ad spend against this placement & build upon Instagram's unique visual nature and strong targeting capabilities.", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:38.288+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "229a01be-efc3-412b-9618-e3c2c1797718", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.9, "x": 0.05, "y": 0.15 }, "kind": "paragraph", "text": "Internet = Driving Force for New Product Introductions with Hypertargeting / Intent-Based Marketing via Facebook / Twitter / Instagram / Google...", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:38.288+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "85456324-2edf-477c-9f8f-333670e3b7fd", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.45, "x": 0.05, "y": 0.64 }, "kind": "quote", "text": "Our customer acquisition strategy was Facebook... Every $100 we spent on Facebook was worth $1,000 in sales. For us, it was a simple math equation.", "attrs": null, "canon": { "kind": { "name": "Quote", "slug": "quote", "status": "active", "canonId": "019de52c-f8fb-751e-8bc6-d58e2d59562a", "version": 1, "description": "Pull quote or testimonial." }, "tool": null, "subkind": { "name": "Testimonial", "slug": "testimonial", "status": "active", "canonId": "019de52c-fc21-71b6-9ac3-8266a64945e8", "version": 1, "description": null }, "framework": null }, "subkind": "testimonial", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:38.288+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "3b3ce1db-2ba8-4479-87e4-49df79849706", "parentComponentId": null }, { "bbox": null, "kind": "quote", "text": "Our customer acquisition strategy was Facebook. Our [target customer] typically spends a lot of time on Facebook...Every $100 we spent on Facebook was worth $1,000 in sales. For us, it was a simple math equation. - Vishaal Melwani, CEO and Founder, Combatant Gentlemen", "attrs": null, "canon": { "kind": { "name": "Quote", "slug": "quote", "status": "active", "canonId": "019de52c-f8fb-751e-8bc6-d58e2d59562a", "version": 1, "description": "Pull quote or testimonial." }, "tool": { "name": "Authority citation", "slug": "authority-citation", "status": "active", "bestFor": null, "canonId": "019dd9e1-49ae-7557-89ad-3fca70469b45", "version": 1, "bodyDocId": null, "description": "Quoting an authority figure, study, or precedent to lend weight.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:07+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f26-5e47f7595b5e", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.7, "x": 0.05, "y": 0.05 }, "kind": "title", "text": "Hyper-Targeted Marketing = Driving Growth for Retailers / Products / Brands", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:38.288+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "a99be12d-c024-4369-91b2-b16a3006e395", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "AIDA Model", "slug": "aida-model", "status": "active", "bestFor": null, "canonId": "019dd956-86fc-773c-813f-d416714b8413", "version": 1, "bodyDocId": null, "description": "Attention, Interest, Desire, Action - classic persuasion sequence", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "4b792958-ffcd-4732-b327-787b89ef28ce", "evidence": "quote: Our customer acquisition strategy was Facebook. Our [target customer] typically spends a lot of time on Facebook...Every $100 we spent on Facebook was worth $1,000 in sales. For us, it was a simple math equation.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.6, "extraction": { "at": "2026-07-16 22:00:37.358492+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 68, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Emotional Appeal", "slug": "emotional-appeal", "status": "active", "bestFor": null, "canonId": "019dd956-bde9-7668-8be7-0097678fec59", "version": 1, "bodyDocId": null, "description": "Connecting to audience feelings rather than just logic", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "019de7d7-ee92-729e-8b08-561ed0757838", "evidence": "Practitioner quote about $100->$1000 ROI.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 60, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 68, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 71, "from": 50, "loop": { "name": "04_tale_two_worlds", "slug": "04-tale-two-worlds", "status": "active", "bestFor": "Competitive analysis, benchmarking, case for change", "canonId": "019dd956-674f-750b-b15d-f082e2717f4e", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "Current State -> Desired State / Benchmark -> The Gap & Implication", "description": "Show the gap between two states to drive urgency or highlight opportunity", "familyLabel": null }, "matchId": "019de7d7-e1a8-7476-bf97-c3dc117d6e63", "evidence": "Generation comparison tables (52,53), retail-channel evolution (57-58), digital-native scaling (71).", "position": 5, "objective": "Contrast prior-generation retail world vs. millennial / digital-native world to motivate commerce reinvention", "confidence": 80, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 69, "type": "evidence", "title": "The slide uses a process-flow structure to explain the business model.", "function": "illustrate_case", "rawType": "customer_journey", "block": null, "metadata": { "slideType": "customer_journey", "slideTypeCanon": { "name": "Customer journey", "slug": "customer_journey", "status": "active", "canonId": "019de52d-0966-70ce-afe3-bc7c98ffc8c9", "version": 1, "description": null }, "function": "illustrate_case", "functionCanon": { "name": "Illustrate case", "slug": "illustrate_case", "status": "active", "canonId": "019de52d-13b4-772c-bb73-1873612a7463", "version": 1, "description": null }, "density": "overcrowded", "densityScore": 87, "componentCount": 11, "textChars": 1130, "nDataPoints": 1, "notes": "The slide uses a process-flow structure to explain the business model.", "elementsJson": [ "headline_text", "paragraph", "screenshot", "photo" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:43.602+00", "seconds": 7.939, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/69", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-69", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "Stitch Fix = Applying Netflix / Spotify-Like Content Discovery to Fashion... Each Customer = Differentiated Experience...99.99% of Fixes Shipped = Unique", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:07+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f26-ad67d03b56a4", "parentComponentId": null }, { "bbox": { "h": 0.45, "w": 0.3, "x": 0.35, "y": 0.45 }, "kind": "image", "text": "Woman opening a Stitch Fix box", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Photo", "slug": "photo", "status": "active", "canonId": "019de52c-fd37-757f-b4a8-ca26d4888875", "version": 1, "description": null }, "framework": null }, "subkind": "photo", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:43.602+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "af105a08-b88b-4d26-a4a2-1d6b2a8b7748", "parentComponentId": null }, { "bbox": { "h": 0.45, "w": 0.28, "x": 0.05, "y": 0.45 }, "kind": "image", "text": "Stitch Fix style quiz mobile interface", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Screenshot", "slug": "screenshot", "status": "active", "canonId": "019de52c-fd87-7509-8391-3d79fb339379", "version": 1, "description": null }, "framework": null }, "subkind": "screenshot", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:43.602+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "6b498392-a74a-418a-9d4a-1f2690cf9cb0", "parentComponentId": null }, { "bbox": { "h": 0.45, "w": 0.25, "x": 0.7, "y": 0.45 }, "kind": "image", "text": "Stitch Fix feedback mobile interface", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Screenshot", "slug": "screenshot", "status": "active", "canonId": "019de52c-fd87-7509-8391-3d79fb339379", "version": 1, "description": null }, "framework": null }, "subkind": "screenshot", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:43.602+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "b2892214-e64d-4c84-b49a-d037640e3b97", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.28, "x": 0.68, "y": 0.25 }, "kind": "list", "text": "Customer Preferences & Feedback. Collect information on customer experience to drive future product selection", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:43.602+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "61d4bacd-d126-48e2-a910-63d12b0be7bf", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.3, "x": 0.05, "y": 0.25 }, "kind": "list", "text": "Data-Driven Onboarding Process = Mix of Art + Science. Collect data points on customer preferences / style / activities. 46% of active clients provide Pinterest profiles. Stylists use Pinterest boards + access to algorithms to improve product selection.", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:43.602+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "eedc5118-4602-45b0-9874-5d2c20ca30d4", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.3, "x": 0.35, "y": 0.25 }, "kind": "list", "text": "Ship 'Fixes' with Curated Items Based on Preferences / Style. Allows clients to try products selected by stylists in comfort of home / return items they don't like", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:43.602+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "f66a8e0b-ea16-44ee-b4ab-c339c3f3d6b7", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Unique shipments: 99.99%", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:07+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f26-b19b3a4056ea", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.15, "x": 0.05, "y": 0.95 }, "kind": "source-note", "text": "Source: Stitch Fix; Image: Forbes.com", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:43.602+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "d19016f8-d74a-428e-a0f9-1f9b3379ed6c", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.9, "x": 0.05, "y": 0.15 }, "kind": "title", "text": "Stitch Fix = Applying Netflix / Spotify-Like Content Discovery to Fashion... Each Customer = Differentiated Experience...99.99% of Fixes Shipped = Unique", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Action title", "slug": "action-title", "status": "active", "canonId": "019de52c-fb31-734c-a0f5-a3935b73135d", "version": 1, "description": null }, "framework": null }, "subkind": "action-title", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:43.602+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "02e2eabd-677e-4a17-8564-7c346de8579b", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.9, "x": 0.05, "y": 0.02 }, "kind": "title", "text": "Stitch Fix User Experience = Micro Data-Driven Engagement & Satisfaction... Data Collection + Personalization / Curation + Feedback...", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:43.602+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "06e41104-3a63-42e5-8037-6521b3e18b3e", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [ { "matchId": "b0b27d37-8570-4b95-8145-1938576d7845", "evidence": "The slide outlines the three stages of the customer interaction with the service.", "framework": null, "confidence": 0.9, "extraction": { "at": "2026-05-02 17:38:43.602+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 69, "frameworkName": "customer-journey-map" } ], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 71, "from": 50, "loop": { "name": "04_tale_two_worlds", "slug": "04-tale-two-worlds", "status": "active", "bestFor": "Competitive analysis, benchmarking, case for change", "canonId": "019dd956-674f-750b-b15d-f082e2717f4e", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "Current State -> Desired State / Benchmark -> The Gap & Implication", "description": "Show the gap between two states to drive urgency or highlight opportunity", "familyLabel": null }, "matchId": "019de7d7-e1a8-7476-bf97-c3dc117d6e63", "evidence": "Generation comparison tables (52,53), retail-channel evolution (57-58), digital-native scaling (71).", "position": 5, "objective": "Contrast prior-generation retail world vs. millennial / digital-native world to motivate commerce reinvention", "confidence": 80, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 70, "type": "resolution", "title": "Includes two small line charts showing probability of success by age and sizing, and one scatter plot showing correlation between predicted and actual purchase ", "function": "quantify_impact", "rawType": "key_takeaways", "block": null, "metadata": { "slideType": "key_takeaways", "slideTypeCanon": { "name": "Key takeaways", "slug": "key_takeaways", "status": "active", "canonId": "019de52d-06e7-7674-a891-9f7de3b11b6d", "version": 1, "description": null }, "function": "quantify_impact", "functionCanon": { "name": "Quantify impact", "slug": "quantify_impact", "status": "active", "canonId": "019de52d-1630-720d-b57d-fa7f76bebd8d", "version": 1, "description": null }, "density": "overcrowded", "densityScore": 83, "componentCount": 11, "textChars": 841, "nDataPoints": 3, "notes": "Includes two small line charts showing probability of success by age and sizing, and one scatter plot showing correlation between predicted and actual purchase rates.", "elementsJson": [ "headline_text", "paragraph", "line_chart", "photo" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:39.916+00", "seconds": 4.25, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/70", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-70", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "Stitch Fix = Data On Users + Data on Items + Constantly Improving Algorithms = Drive High Customer Satisfaction...100% of Purchases from Recommendations", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:07+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f25-e3b829eadbfb", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.28, "x": 0.05, "y": 0.48 }, "kind": "chart", "text": "Example of Product Success Probability by Age", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Line chart", "slug": "line", "status": "active", "canonId": "019de52c-ff62-778f-8f6c-a952ceae8677", "version": 1, "description": null }, "framework": null }, "subkind": "line", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:39.916+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "672e3a93-5611-48f6-ab5c-a3697d827bf3", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.28, "x": 0.05, "y": 0.68 }, "kind": "chart", "text": "Example of Product Success Probability by Sizing", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Line chart", "slug": "line", "status": "active", "canonId": "019de52c-ff62-778f-8f6c-a952ceae8677", "version": 1, "description": null }, "framework": null }, "subkind": "line", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:39.916+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "e0dd9d33-fb7e-4d46-8536-90ed22223ca2", "parentComponentId": null }, { "bbox": { "h": 0.4, "w": 0.25, "x": 0.38, "y": 0.48 }, "kind": "chart", "text": "Actual Proportion Purchased vs Probability of Purchase", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Scatter plot", "slug": "scatter", "status": "active", "canonId": "019de52d-007d-72ec-8689-c79fb78e21a2", "version": 1, "description": null }, "framework": null }, "subkind": "scatter", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:39.916+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "4a035d8f-0171-4423-8c82-652c7041c38d", "parentComponentId": null }, { "bbox": { "h": 0.25, "w": 0.28, "x": 0.68, "y": 0.57 }, "kind": "image", "text": "Customer with Stitch Fix box", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Photo", "slug": "photo", "status": "active", "canonId": "019de52c-fd37-757f-b4a8-ca26d4888875", "version": 1, "description": null }, "framework": null }, "subkind": "photo", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:39.916+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "dd25b20c-de38-419b-bf4d-f69bda7283db", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.3, "x": 0.65, "y": 0.025 }, "kind": "list", "text": "Strong Consumer Engagement / Anticipation...Increased Wallet Share...", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:39.916+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "7e3d355f-6329-4cd3-a99e-ec9fb21612ef", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.3, "x": 0.35, "y": 0.025 }, "kind": "list", "text": "Data Networking Effect... Helps Stylist Predict Success of Items with Specific Client", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:39.916+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "93687364-c611-46cd-a7a8-b9532d49b222", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.3, "x": 0.05, "y": 0.025 }, "kind": "list", "text": "Data Collection on Item-by-Item Basis Coupled with User Insights", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:39.916+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "a73c02e2-af5a-4745-a68d-2e10e64deff5", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Client wallet share: 39%", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:07+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f25-e5184254da40", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.9, "x": 0.05, "y": 0.13 }, "kind": "title", "text": "Stitch Fix = Data On Users + Data on Items + Constantly Improving Algorithms = Drive High Customer Satisfaction...100% of Purchases from Recommendations", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Action title", "slug": "action-title", "status": "active", "canonId": "019de52c-fb31-734c-a0f5-a3935b73135d", "version": 1, "description": null }, "framework": null }, "subkind": "action-title", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:39.916+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "13d50a93-3ac8-4684-b74b-c56b04b50398", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.9, "x": 0.05, "y": 0.02 }, "kind": "title", "text": "...Stitch Fix Back-End Experience = 39% of Clients Purchase Majority of Clothing from Stitch Fix vs. ~30% of Clients Y/Y", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:39.916+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "d5500a08-c2b6-4023-8786-625b1266ee96", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [ { "matchId": "e8a63b50-db29-4608-99ed-d9eff1e28ee6", "evidence": "Describes data collection leading to better predictions, leading to higher engagement and wallet share.", "framework": null, "confidence": 0.9, "extraction": { "at": "2026-05-02 17:38:39.916+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 70, "frameworkName": "network-effects-flywheel" } ], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 71, "from": 50, "loop": { "name": "04_tale_two_worlds", "slug": "04-tale-two-worlds", "status": "active", "bestFor": "Competitive analysis, benchmarking, case for change", "canonId": "019dd956-674f-750b-b15d-f082e2717f4e", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "Current State -> Desired State / Benchmark -> The Gap & Implication", "description": "Show the gap between two states to drive urgency or highlight opportunity", "familyLabel": null }, "matchId": "019de7d7-e1a8-7476-bf97-c3dc117d6e63", "evidence": "Generation comparison tables (52,53), retail-channel evolution (57-58), digital-native scaling (71).", "position": 5, "objective": "Contrast prior-generation retail world vs. millennial / digital-native world to motivate commerce reinvention", "confidence": 80, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 71, "type": "analysis", "title": "The chart illustrates the acceleration of growth for modern e-commerce companies compared to legacy retail brands.", "function": "illustrate_case", "rawType": "industry_trends", "block": null, "metadata": { "slideType": "industry_trends", "slideTypeCanon": { "name": "Industry trends", "slug": "industry_trends", "status": "active", "canonId": "019de52d-0b1d-7705-a0e0-c663199cd1fa", "version": 1, "description": null }, "function": "illustrate_case", "functionCanon": { "name": "Illustrate case", "slug": "illustrate_case", "status": "active", "canonId": "019de52d-13b4-772c-bb73-1873612a7463", "version": 1, "description": null }, "density": "dense", "densityScore": 63, "componentCount": 6, "textChars": 898, "nDataPoints": 15, "notes": "The chart illustrates the acceleration of growth for modern e-commerce companies compared to legacy retail brands.", "elementsJson": [ "headline_text", "paragraph", "line_chart", "footnote" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:41.278+00", "seconds": 5.425, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/71", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-71", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "Viral Marketing / Sharing Mechanisms (Facebook / Instagram / Snapchat / Twitter...) + On-Demand Purchasing Options via Mobile / Web + Access to Growth Capital + Millennial Appeal = Enabling Rapid Growth for New Products / Brands / Retailers", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:07+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f26-d8bd57a168ad", "parentComponentId": null }, { "bbox": { "h": 0.6, "w": 0.8, "x": 0.1, "y": 0.25 }, "kind": "chart", "text": "Sales Growth For Select Internet Retailers*, USA, First 5 Years Since Inception", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Line chart", "slug": "line", "status": "active", "canonId": "019de52c-ff62-778f-8f6c-a952ceae8677", "version": 1, "description": null }, "framework": null }, "subkind": "line", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:41.278+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "0f69fe78-6fba-43bb-b905-6dd6f083cfa5", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Annual Sales: $100MM", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:07+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f26-dd952e9f09ff", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.7, "x": 0.15, "y": 0.13 }, "kind": "paragraph", "text": "Viral Marketing / Sharing Mechanisms (Facebook / Instagram / Snapchat / Twitter...) + On-Demand Purchasing Options via Mobile / Web + Access to Growth Capital + Millennial Appeal = Enabling Rapid Growth for New Products / Brands / Retailers", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:41.278+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "62403590-b32e-4bc5-b84d-420e44b8ea74", "parentComponentId": null }, { "bbox": { "h": 0.06, "w": 0.8, "x": 0.1, "y": 0.92 }, "kind": "source-note", "text": "Source: Internet Retailer \"2016 Top 500 Guide\", company filings. Note: *Data only for e-commerce sales and shown in 2015 dollars. **Years to reach $100MM in annual revenue in 2015 dollars.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:41.278+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "ab4f671c-c98b-4f2c-a342-66fa70634d58", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.9, "x": 0.05, "y": 0.02 }, "kind": "title", "text": "Many Internet Retailers / Brands @ $100MM in Annual Sales* in <5 Years... Took Nike = 14 Years / Lululemon = 9 / Under Armour = 8**", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:41.278+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "891d6d54-93b0-448b-a55e-039c2d957725", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-eeb1-765b-b75c-ee2e2f840ab8", "evidence": "$100MM in <5 yrs vs Nike 14 yrs.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 88, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 71, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." } ], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 71, "from": 50, "loop": { "name": "04_tale_two_worlds", "slug": "04-tale-two-worlds", "status": "active", "bestFor": "Competitive analysis, benchmarking, case for change", "canonId": "019dd956-674f-750b-b15d-f082e2717f4e", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "Current State -> Desired State / Benchmark -> The Gap & Implication", "description": "Show the gap between two states to drive urgency or highlight opportunity", "familyLabel": null }, "matchId": "019de7d7-e1a8-7476-bf97-c3dc117d6e63", "evidence": "Generation comparison tables (52,53), retail-channel evolution (57-58), digital-native scaling (71).", "position": 5, "objective": "Contrast prior-generation retail world vs. millennial / digital-native world to motivate commerce reinvention", "confidence": 80, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 72, "type": "setup", "function": "transition", "rawType": "section_divider", "block": null, "metadata": { "slideType": "section_divider", "slideTypeCanon": { "name": "Section divider", "slug": "section_divider", "status": "active", "canonId": "019de52d-066a-7402-9554-6ae504999041", "version": 1, "description": null }, "function": "transition", "functionCanon": { "name": "Transition", "slug": "transition", "status": "active", "canonId": "019de52d-1365-7149-92aa-66df859e75fd", "version": 1, "description": null }, "density": "sparse", "densityScore": 3, "componentCount": 1, "textChars": 77, "nDataPoints": 0, "notes": null, "elementsJson": [ "headline_text" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:38.047+00", "seconds": 2.121, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/72", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-72", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.3, "w": 0.6, "x": 0.05, "y": 0.3 }, "kind": "title", "text": "RE-IMAGINING COMMUNICATION VIA SOCIAL PLATFORMS –\n– VIDEO\n– IMAGE\n– MESSAGING", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:38.047+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "9258f3f5-1bde-499a-8058-94d3f4790a2d", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Section divider", "slug": "section-divider", "status": "active", "bestFor": null, "canonId": "019dd9e1-4c66-707d-8d1f-6e14547134c7", "version": 1, "bodyDocId": null, "description": "A transitional slide marking the start of a new section.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "3bbccc05-b071-4f54-a657-2f17e3ffbc71", "evidence": "title/headline: RE-IMAGINING COMMUNICATION VIA SOCIAL PLATFORMS – VIDEO – IMAGE – MESSAGING", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.9, "extraction": { "at": "2026-07-16 22:00:37.553361+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 72, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [], "locked": true }, { "page": 73, "type": "setup", "function": "transition", "rawType": "section_divider", "block": null, "metadata": { "slideType": "section_divider", "slideTypeCanon": { "name": "Section divider", "slug": "section_divider", "status": "active", "canonId": "019de52d-066a-7402-9554-6ae504999041", "version": 1, "description": null }, "function": "transition", "functionCanon": { "name": "Transition", "slug": "transition", "status": "active", "canonId": "019de52d-1365-7149-92aa-66df859e75fd", "version": 1, "description": null }, "density": "sparse", "densityScore": 2, "componentCount": 1, "textChars": 46, "nDataPoints": 0, "notes": null, "elementsJson": [ "headline_text" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:39.572+00", "seconds": 3.56, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/73", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-73", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.2, "w": 0.7, "x": 0.15, "y": 0.4 }, "kind": "title", "text": "Visual (Video + Image) Usage Continues to Rise", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:39.572+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "4083f4d5-1d64-4dd8-b7e4-0e8b19ba89e5", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 89, "from": 73, "loop": { "name": "21_before_after", "slug": "21-before-after", "status": "active", "bestFor": "Product demos, process improvements, ROI justification", "canonId": "019dd956-6e68-73fd-a295-fe90145c2da8", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Old Way (Pain) -> The Moment of Change -> The New Way (Glory) -> The Measurable Delta", "description": "Show the dramatic contrast between the old way and the new way through side-by-side comparison", "familyLabel": null }, "matchId": "019de7d7-e1c6-73b0-8fd5-4ff03a42076e", "evidence": "Live->On-Demand->Semi-Live->Real-Live diagram (pp 76-77) frames before/after; case studies on Snapchat, FB Live.", "position": 6, "objective": "Map the before/after of video consumption from linear TV to live/social/UGC", "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 74, "type": "setup", "title": "The chart uses brand logos as data points to visualize the competitive landscape of social networks.", "function": "compare_peers", "rawType": "peer_benchmark", "block": null, "metadata": { "slideType": "peer_benchmark", "slideTypeCanon": { "name": "Peer benchmark", "slug": "peer_benchmark", "status": "active", "canonId": "019de52d-08f0-7158-a78d-d7b5331fefaf", "version": 1, "description": null }, "function": "compare_peers", "functionCanon": { "name": "Compare peers", "slug": "compare_peers", "status": "active", "canonId": "019de52d-1453-72ba-a367-9ba3d34c1630", "version": 1, "description": null }, "density": "balanced", "densityScore": 34, "componentCount": 5, "textChars": 310, "nDataPoints": 9, "notes": "The chart uses brand logos as data points to visualize the competitive landscape of social networks.", "elementsJson": [ "headline_text", "bubble_chart", "footnote" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:38.805+00", "seconds": 2.665, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/74", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-74", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.55, "w": 0.8, "x": 0.1, "y": 0.3 }, "kind": "chart", "text": "Scatter plot showing reach vs engagement", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Scatter plot", "slug": "scatter", "status": "active", "canonId": "019de52d-007d-72ec-8689-c79fb78e21a2", "version": 1, "description": null }, "framework": null }, "subkind": "scatter", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:38.805+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "3b16e61b-05f7-4feb-a7bc-2f2268d9b101", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Average Monthly Minutes per Visitor", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:07+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f25-ca69dc40e94b", "parentComponentId": null }, { "bbox": { "h": 0.02, "w": 0.2, "x": 0.1, "y": 0.95 }, "kind": "source-note", "text": "Source: ComScore Media Metrix Multi-Platform, 12/15.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:38.805+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "550b73f5-581a-4020-bb3a-8bd5e5c11727", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.8, "x": 0.05, "y": 0.05 }, "kind": "title", "text": "Millennial Social Network Engagement Leaders = Visual... Facebook / Snapchat / Instagram...", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:38.805+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "52ed3918-8407-4614-83d2-f437219bad98", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.6, "x": 0.2, "y": 0.2 }, "kind": "title", "text": "Age 18-34 Digital Audience Penetration vs. Engagement of Leading Social Networks, USA, 12/15", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Subtitle", "slug": "subtitle", "status": "active", "canonId": "019de52c-fb09-739d-900c-815b0d9ac526", "version": 1, "description": null }, "framework": null }, "subkind": "subtitle", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:38.805+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "e6b23be7-3f96-4d1c-a2f7-a855054ad14a", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [ { "matchId": "ee53ed12-56d2-41ac-99bb-1a76d9982440", "evidence": "The slide uses a scatter plot to map social networks across two dimensions (reach and engagement).", "framework": null, "confidence": 0.8, "extraction": { "at": "2026-05-02 17:38:38.805+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 74, "frameworkName": "matrix-2x2" } ], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 89, "from": 73, "loop": { "name": "21_before_after", "slug": "21-before-after", "status": "active", "bestFor": "Product demos, process improvements, ROI justification", "canonId": "019dd956-6e68-73fd-a295-fe90145c2da8", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Old Way (Pain) -> The Moment of Change -> The New Way (Glory) -> The Measurable Delta", "description": "Show the dramatic contrast between the old way and the new way through side-by-side comparison", "familyLabel": null }, "matchId": "019de7d7-e1c6-73b0-8fd5-4ff03a42076e", "evidence": "Live->On-Demand->Semi-Live->Real-Live diagram (pp 76-77) frames before/after; case studies on Snapchat, FB Live.", "position": 6, "objective": "Map the before/after of video consumption from linear TV to live/social/UGC", "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 75, "type": "setup", "title": "The slide highlights the shift from text-based communication in Millennials to image-based communication in Gen Z.", "function": "compare_options", "rawType": "comparison_table", "block": null, "metadata": { "slideType": "comparison_table", "slideTypeCanon": { "name": "Comparison table", "slug": "comparison_table", "status": "active", "canonId": "019de52d-0a06-73f8-8813-fe022fab1de2", "version": 1, "description": null }, "function": "compare_options", "functionCanon": { "name": "Compare options", "slug": "compare_options", "status": "active", "canonId": "019de52d-167f-7038-aebc-70a9d2e0e33b", "version": 1, "description": null }, "density": "balanced", "densityScore": 35, "componentCount": 4, "textChars": 637, "nDataPoints": 0, "notes": "The slide highlights the shift from text-based communication in Millennials to image-based communication in Gen Z.", "elementsJson": [ "headline_text", "comparison_table", "footnote" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:39.217+00", "seconds": 2.757, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/75", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-75", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.4, "w": 0.8, "x": 0.1, "y": 0.35 }, "kind": "list", "text": "Millennials: Tech Savvy: 2 screens at once, Communicate with text, Curators and Sharers, Now-focused, Optimists, Want to be discovered. Gen Z: Tech Innate: 5 screens at once, Communicate with images, Creators and Collaborators, Future-focused, Realists, Want to work for success", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Comparison list", "slug": "comparison", "status": "active", "canonId": "019de52c-fce7-733e-99d3-030a104727bf", "version": 1, "description": null }, "framework": null }, "subkind": "comparison", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:39.217+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "7b75399a-6285-4168-8ae1-b4247bffce34", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.6, "x": 0.1, "y": 0.94 }, "kind": "source-note", "text": "Source: “Engaging and Cultivating Millennials and Gen Z,” Denison University and Ologie, 12/14. Note: Gen Z defined in this report as those born after 1995. In 2016 they are ages 1-20. Note that there may be different opinions on which years each generation begins and ends.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:39.217+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "af5ee8a4-a2bb-4eaf-a9dc-8aae9db58b0a", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.5, "x": 0.05, "y": 0.05 }, "kind": "title", "text": "Generation Z (Ages 1-20) = Communicates with Images", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:39.217+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "3cd18f5a-3962-4091-a235-313c13dc49f5", "parentComponentId": null }, { "bbox": { "h": 0.06, "w": 0.82, "x": 0.09, "y": 0.245 }, "kind": "title", "text": "Attributes – Millennials vs. Gen Z", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Subtitle", "slug": "subtitle", "status": "active", "canonId": "019de52c-fb09-739d-900c-815b0d9ac526", "version": 1, "description": null }, "framework": null }, "subkind": "subtitle", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:39.217+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "1eb72ccf-8439-4a08-9aa4-820df8ffc024", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Audience Definition", "slug": "audience-definition", "status": "active", "bestFor": null, "canonId": "019dd956-7f2a-775d-aeee-ff099bcb7756", "version": 1, "bodyDocId": null, "description": "Six key questions: Who are they? What do they know? What do they believe? What do they care about? What do they fear? What decisions can they make?", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "db49039c-2182-4bff-9e76-48c6ff0d97d3", "evidence": "title/subtitle: Attributes – Millennials vs. Gen Z", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:00:31.949218+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 75, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Comparison frame", "slug": "comparison-frame", "status": "active", "bestFor": null, "canonId": "019dd9e1-484b-7399-a4fc-d14644b99f93", "version": 1, "bodyDocId": null, "description": "Two or more states/subjects placed side by side to expose a gap.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "6da8abf0-c225-46db-ad02-e4cfb3644a01", "evidence": "list/comparison: Millennials: Tech Savvy: 2 screens at once, Communicate with text, Curators and Sharers, Now-focused, Optimists, Want to be discovered. Gen Z: Tech Innate: 5 screens at once, Communicate with images, Cre", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:00:31.887645+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 75, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null } ], "frameworks": [ { "matchId": "0ef4b6eb-e083-4df2-93a6-89c2c3487c51", "evidence": "Side-by-side comparison of two demographic groups across multiple attributes.", "framework": null, "confidence": 0.9, "extraction": { "at": "2026-05-02 17:38:39.217+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 75, "frameworkName": "comparison_frame" }, { "matchId": "019de7d7-fdad-7533-8c75-3789211adde6", "evidence": "Two-column trait comparison table.", "framework": null, "confidence": 60, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 75, "frameworkName": "Generational comparison (Millennials vs Gen Z)" } ], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 89, "from": 73, "loop": { "name": "21_before_after", "slug": "21-before-after", "status": "active", "bestFor": "Product demos, process improvements, ROI justification", "canonId": "019dd956-6e68-73fd-a295-fe90145c2da8", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Old Way (Pain) -> The Moment of Change -> The New Way (Glory) -> The Measurable Delta", "description": "Show the dramatic contrast between the old way and the new way through side-by-side comparison", "familyLabel": null }, "matchId": "019de7d7-e1c6-73b0-8fd5-4ff03a42076e", "evidence": "Live->On-Demand->Semi-Live->Real-Live diagram (pp 76-77) frames before/after; case studies on Snapchat, FB Live.", "position": 6, "objective": "Map the before/after of video consumption from linear TV to live/social/UGC", "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 76, "type": "setup", "function": "transition", "rawType": "transition", "block": null, "metadata": { "slideType": "transition", "slideTypeCanon": { "name": "Transition", "slug": "transition", "status": "active", "canonId": "019de52d-0693-7766-9f05-887f41f8e41e", "version": 1, "description": null }, "function": "transition", "functionCanon": { "name": "Transition", "slug": "transition", "status": "active", "canonId": "019de52d-1365-7149-92aa-66df859e75fd", "version": 1, "description": null }, "density": "sparse", "densityScore": 9, "componentCount": 3, "textChars": 123, "nDataPoints": 0, "notes": null, "elementsJson": [ "headline_text", "process_diagram" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:38.648+00", "seconds": 2.129, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/76", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-76", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "Live → On-Demand → Semi-Live → Real-Live", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:09+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f27-ae5b6f7c34d7", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.7, "x": 0.15, "y": 0.63 }, "kind": "paragraph", "text": "Live → On-Demand → Semi-Live → Real-Live", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:38.648+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "3f2bcc90-7ac3-43c0-8f4e-775b3ff2496d", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.62, "x": 0.19, "y": 0.35 }, "kind": "title", "text": "Video Viewing Evolution Over Past Century =", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:38.648+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "714aa233-9921-408f-b4e7-926f1d79ca13", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Causal Chain", "slug": "causal-chain", "status": "active", "bestFor": null, "canonId": "019dd956-9e98-7269-907b-8cf727e9499d", "version": 1, "bodyDocId": null, "description": "Showing how one event leads to another in sequence", "familyLabel": null, "categoryName": "Loop", "categorySlug": "loop" }, "agent": "Architect", "layer": "loop", "agents": [ "Architect" ], "matchId": "019de7d7-ef3d-72b9-8984-a272e54fc4d9", "evidence": "Sequential evolution diagram.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 72, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 76, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-ef1b-74f9-b3a4-9f94936559db", "evidence": "Live->On-Demand->Semi-Live->Real-Live progression.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 80, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 76, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." }, { "tool": { "name": "Before-After-Bridge", "slug": "before-after-bridge", "status": "active", "bestFor": null, "canonId": "019dd956-8604-7188-883f-42370288ad05", "version": 1, "bodyDocId": null, "description": "Narrative structure: Paint the before, show the after, explain the bridge", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "2b177e35-5c14-4679-9d83-cca2f8fa4e3e", "evidence": "callout: Live → On-Demand → Semi-Live → Real-Live", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:00:32.03095+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 76, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 89, "from": 73, "loop": { "name": "21_before_after", "slug": "21-before-after", "status": "active", "bestFor": "Product demos, process improvements, ROI justification", "canonId": "019dd956-6e68-73fd-a295-fe90145c2da8", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Old Way (Pain) -> The Moment of Change -> The New Way (Glory) -> The Measurable Delta", "description": "Show the dramatic contrast between the old way and the new way through side-by-side comparison", "familyLabel": null }, "matchId": "019de7d7-e1c6-73b0-8fd5-4ff03a42076e", "evidence": "Live->On-Demand->Semi-Live->Real-Live diagram (pp 76-77) frames before/after; case studies on Snapchat, FB Live.", "position": 6, "objective": "Map the before/after of video consumption from linear TV to live/social/UGC", "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 77, "type": "analysis", "title": "Uses a timeline-based framework to illustrate the shift in audience engagement and timing.", "function": "present_framework", "rawType": "industry_trends", "block": null, "metadata": { "slideType": "industry_trends", "slideTypeCanon": { "name": "Industry trends", "slug": "industry_trends", "status": "active", "canonId": "019de52d-0b1d-7705-a0e0-c663199cd1fa", "version": 1, "description": null }, "function": "present_framework", "functionCanon": { "name": "Present framework", "slug": "present_framework", "status": "active", "canonId": "019de52d-1403-7667-9100-d2ac6709f750", "version": 1, "description": null }, "density": "balanced", "densityScore": 39, "componentCount": 5, "textChars": 438, "nDataPoints": 4, "notes": "Uses a timeline-based framework to illustrate the shift in audience engagement and timing.", "elementsJson": [ "headline_text", "process_diagram", "photo" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:39.728+00", "seconds": 2.932, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/77", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-77", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.25, "w": 0.9, "x": 0.05, "y": 0.65 }, "kind": "image", "text": "Visual examples of TV, Netflix, Snapchat, and Periscope/Facebook Live", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Illustration", "slug": "illustration", "status": "active", "canonId": "019de52c-fe76-7772-a5ac-c0b7294d7615", "version": 1, "description": null }, "framework": null }, "subkind": "illustration", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:39.728+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "0649cfd0-b89d-4854-9495-384aea6390ca", "parentComponentId": null }, { "bbox": { "h": 0.4, "w": 0.9, "x": 0.05, "y": 0.2 }, "kind": "list", "text": "Live (Linear) 1926; On-Demand 1999; Semi-Live 2013; Real-Live 2015/2016", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Comparison list", "slug": "comparison", "status": "active", "canonId": "019de52c-fce7-733e-99d3-030a104727bf", "version": 1, "description": null }, "framework": null }, "subkind": "comparison", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:39.728+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "1d1f0e3c-dca8-4de8-b082-7242a35460df", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.6, "x": 0.02, "y": 0.95 }, "kind": "source-note", "text": "Images: Facebook, Twitter, Snapchat, Netflix, TiVopedia, BT.com. 1926 - First television introduced by John Baird to members of the Royal Institution. 1999 - First DVR released by Tivo. 2013 - Snapchat Stories launched.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:39.728+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "f8c2cbe0-e4ba-4fba-b750-e2afb7a52a05", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.8, "x": 0.02, "y": 0.1 }, "kind": "title", "text": "Live (Linear) → On-Demand → Semi-Live → Real-Live", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Action title", "slug": "action-title", "status": "active", "canonId": "019de52c-fb31-734c-a0f5-a3935b73135d", "version": 1, "description": null }, "framework": null }, "subkind": "action-title", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:39.728+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "e8144184-0683-4bee-b61d-2596bb5f3aa4", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.45, "x": 0.02, "y": 0.02 }, "kind": "title", "text": "Video Evolution = Accelerating", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:39.728+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "1b69dc27-8057-49bb-9bfd-544c126133d4", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Before-After-Bridge", "slug": "before-after-bridge", "status": "active", "bestFor": null, "canonId": "019dd956-8604-7188-883f-42370288ad05", "version": 1, "bodyDocId": null, "description": "Narrative structure: Paint the before, show the after, explain the bridge", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Storyteller", "layer": "block", "agents": [ "Storyteller" ], "matchId": "019de7d7-ef7e-77fb-9df2-335c58b7d016", "evidence": "Loop start: before-after framing of video.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 75, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 77, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-ef5e-7398-95ea-94ec3a7febea", "evidence": "Same arc with platform examples.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 80, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 77, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." }, { "tool": { "name": "BCG Growth-Share Matrix", "slug": "bcg-growth-share-matrix", "status": "active", "bestFor": null, "canonId": "019de52d-1e65-748e-be86-47bed7c1258d", "version": 1, "bodyDocId": null, "description": null, "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "05ec10a4-fd61-4348-8294-c1dad551f6b4", "evidence": "list/comparison: Live (Linear) 1926; On-Demand 1999; Semi-Live 2013; Real-Live 2015/2016", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.5, "extraction": { "at": "2026-07-16 22:00:32.111898+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 77, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Logical chain", "slug": "logical-chain", "status": "active", "bestFor": null, "canonId": "019dd9e1-5104-702f-8953-85757af6553d", "version": 1, "bodyDocId": null, "description": "If-then, premise-conclusion, deductive chain.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "f6449a27-f9e4-4c8c-b03c-7e8f3087f4c5", "evidence": "Live (Linear) → On-Demand → Semi-Live → Real-Live", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.6, "extraction": { "at": "2026-07-16 22:00:32.152895+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 77, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null } ], "frameworks": [ { "matchId": "2eea973f-7bdd-4ef8-a21a-cc75a91865a5", "evidence": "Chronological progression of video consumption models", "framework": null, "confidence": 0.9, "extraction": { "at": "2026-05-02 17:38:39.728+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 77, "frameworkName": "timeline" } ], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 89, "from": 73, "loop": { "name": "21_before_after", "slug": "21-before-after", "status": "active", "bestFor": "Product demos, process improvements, ROI justification", "canonId": "019dd956-6e68-73fd-a295-fe90145c2da8", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Old Way (Pain) -> The Moment of Change -> The New Way (Glory) -> The Measurable Delta", "description": "Show the dramatic contrast between the old way and the new way through side-by-side comparison", "familyLabel": null }, "matchId": "019de7d7-e1c6-73b0-8fd5-4ff03a42076e", "evidence": "Live->On-Demand->Semi-Live->Real-Live diagram (pp 76-77) frames before/after; case studies on Snapchat, FB Live.", "position": 6, "objective": "Map the before/after of video consumption from linear TV to live/social/UGC", "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 78, "type": "setup", "function": "transition", "rawType": "section_divider", "block": null, "metadata": { "slideType": "section_divider", "slideTypeCanon": { "name": "Section divider", "slug": "section_divider", "status": "active", "canonId": "019de52d-066a-7402-9554-6ae504999041", "version": 1, "description": null }, "function": "transition", "functionCanon": { "name": "Transition", "slug": "transition", "status": "active", "canonId": "019de52d-1365-7149-92aa-66df859e75fd", "version": 1, "description": null }, "density": "sparse", "densityScore": 4, "componentCount": 2, "textChars": 65, "nDataPoints": 0, "notes": null, "elementsJson": [ "headline_text" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:38.861+00", "seconds": 1.933, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/78", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-78", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.045, "w": 0.144, "x": 0.428, "y": 0.385 }, "kind": "title", "text": "Video", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:38.861+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "f7013360-0d84-48d2-825f-1ac2d4e3e7ce", "parentComponentId": null }, { "bbox": { "h": 0.115, "w": 0.854, "x": 0.073, "y": 0.453 }, "kind": "title", "text": "Usage / Sophistication / Relevance Continues to Grow Rapidly", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Subtitle", "slug": "subtitle", "status": "active", "canonId": "019de52c-fb09-739d-900c-815b0d9ac526", "version": 1, "description": null }, "framework": null }, "subkind": "subtitle", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:38.861+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "49ccdb8c-2a9c-4a18-a17b-cd890ff0b907", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 89, "from": 73, "loop": { "name": "21_before_after", "slug": "21-before-after", "status": "active", "bestFor": "Product demos, process improvements, ROI justification", "canonId": "019dd956-6e68-73fd-a295-fe90145c2da8", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Old Way (Pain) -> The Moment of Change -> The New Way (Glory) -> The Measurable Delta", "description": "Show the dramatic contrast between the old way and the new way through side-by-side comparison", "familyLabel": null }, "matchId": "019de7d7-e1c6-73b0-8fd5-4ff03a42076e", "evidence": "Live->On-Demand->Semi-Live->Real-Live diagram (pp 76-77) frames before/after; case studies on Snapchat, FB Live.", "position": 6, "objective": "Map the before/after of video consumption from linear TV to live/social/UGC", "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 79, "type": "analysis", "title": "KPCB Internet Trends 2016 slide 78.", "function": "analyze_data", "rawType": "industry_trends", "block": null, "metadata": { "slideType": "industry_trends", "slideTypeCanon": { "name": "Industry trends", "slug": "industry_trends", "status": "active", "canonId": "019de52d-0b1d-7705-a0e0-c663199cd1fa", "version": 1, "description": null }, "function": "analyze_data", "functionCanon": { "name": "Analyze data", "slug": "analyze_data", "status": "active", "canonId": "019de52d-1590-7413-8c82-cc218cff40b4", "version": 1, "description": null }, "density": "balanced", "densityScore": 39, "componentCount": 5, "textChars": 411, "nDataPoints": 11, "notes": "KPCB Internet Trends 2016 slide 78.", "elementsJson": [ "headline_text", "bar_chart_vertical", "bar_chart_vertical", "footnote" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:39.197+00", "seconds": 2.09, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/79", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-79", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.65, "w": 0.4, "x": 0.05, "y": 0.2 }, "kind": "chart", "text": "Facebook Daily Video Views, Global, Q3:14 – Q3:15", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Vertical bar chart", "slug": "bar-vertical", "status": "active", "canonId": "019de52c-fe9d-70f2-b3b7-a9ae294f5917", "version": 1, "description": null }, "framework": null }, "subkind": "bar-vertical", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:39.197+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "43ec66e4-3101-44d7-a82b-05ce1591bcb4", "parentComponentId": null }, { "bbox": { "h": 0.65, "w": 0.45, "x": 0.5, "y": 0.2 }, "kind": "chart", "text": "Snapchat Daily Video Views, Global, Q4:14 – Q1:16", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Vertical bar chart", "slug": "bar-vertical", "status": "active", "canonId": "019de52c-fe9d-70f2-b3b7-a9ae294f5917", "version": 1, "description": null }, "framework": null }, "subkind": "bar-vertical", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:39.197+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "621abff1-1860-409a-af7f-e076d957c89e", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Daily Video Views: 10B", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:09+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f27-9376fa277dea", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.6, "x": 0.05, "y": 0.9 }, "kind": "source-note", "text": "Source: Facebook, Snapchat. Q2:15 Facebook video views data based on KPCB estimate. Facebook video views represent any video shown onscreen for >3 seconds (including autoplay). Snapchat video views counted instantaneously on load.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:39.197+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "d8ce6945-6a41-43ab-b48b-2634ba4241be", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.8, "x": 0.02, "y": 0.02 }, "kind": "title", "text": "User-Shared Video Views on Snapchat & Facebook = Growing Fast", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:39.197+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "d136c150-ac41-4dbe-9f7f-49b530931a5b", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 89, "from": 73, "loop": { "name": "21_before_after", "slug": "21-before-after", "status": "active", "bestFor": "Product demos, process improvements, ROI justification", "canonId": "019dd956-6e68-73fd-a295-fe90145c2da8", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Old Way (Pain) -> The Moment of Change -> The New Way (Glory) -> The Measurable Delta", "description": "Show the dramatic contrast between the old way and the new way through side-by-side comparison", "familyLabel": null }, "matchId": "019de7d7-e1c6-73b0-8fd5-4ff03a42076e", "evidence": "Live->On-Demand->Semi-Live->Real-Live diagram (pp 76-77) frames before/after; case studies on Snapchat, FB Live.", "position": 6, "objective": "Map the before/after of video consumption from linear TV to live/social/UGC", "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 80, "type": "setup", "function": "summarize", "rawType": "thesis_headline", "block": null, "metadata": { "slideType": "thesis_headline", "slideTypeCanon": { "name": "Thesis headline", "slug": "thesis_headline", "status": "active", "canonId": "019de52d-073a-70cb-b9f6-772a597bb5af", "version": 1, "description": null }, "function": "summarize", "functionCanon": { "name": "Summarize", "slug": "summarize", "status": "active", "canonId": "019de52d-1541-704f-b86f-bf7b75056373", "version": 1, "description": null }, "density": "sparse", "densityScore": 3, "componentCount": 1, "textChars": 88, "nDataPoints": 0, "notes": null, "elementsJson": [ "headline_text" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:41.761+00", "seconds": 4.627, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/80", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-80", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.2, "w": 0.8, "x": 0.1, "y": 0.4 }, "kind": "title", "text": "Smartphone Usage Increasingly = Camera + Storytelling + Creativity + Messaging / Sharing", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:41.761+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "e5f0dcf7-a6a6-450f-8ea0-5657c6ca6b28", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 89, "from": 73, "loop": { "name": "21_before_after", "slug": "21-before-after", "status": "active", "bestFor": "Product demos, process improvements, ROI justification", "canonId": "019dd956-6e68-73fd-a295-fe90145c2da8", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Old Way (Pain) -> The Moment of Change -> The New Way (Glory) -> The Measurable Delta", "description": "Show the dramatic contrast between the old way and the new way through side-by-side comparison", "familyLabel": null }, "matchId": "019de7d7-e1c6-73b0-8fd5-4ff03a42076e", "evidence": "Live->On-Demand->Semi-Live->Real-Live diagram (pp 76-77) frames before/after; case studies on Snapchat, FB Live.", "position": 6, "objective": "Map the before/after of video consumption from linear TV to live/social/UGC", "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 81, "type": "analysis", "title": "The slide uses a chronological progression to show the expansion of the platform's content ecosystem.", "function": "present_framework", "rawType": "industry_trends", "block": null, "metadata": { "slideType": "industry_trends", "slideTypeCanon": { "name": "Industry trends", "slug": "industry_trends", "status": "active", "canonId": "019de52d-0b1d-7705-a0e0-c663199cd1fa", "version": 1, "description": null }, "function": "present_framework", "functionCanon": { "name": "Present framework", "slug": "present_framework", "status": "active", "canonId": "019de52d-1403-7667-9100-d2ac6709f750", "version": 1, "description": null }, "density": "dense", "densityScore": 73, "componentCount": 9, "textChars": 606, "nDataPoints": 4, "notes": "The slide uses a chronological progression to show the expansion of the platform's content ecosystem.", "elementsJson": [ "headline_text", "screenshot", "paragraph" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:40.694+00", "seconds": 3.075, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/81", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-81", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "More Users Watched College Football and MTV Music Awards on Snapchat than Watched the Events on TV", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:09+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f27-693ced129ea6", "parentComponentId": null }, { "bbox": null, "kind": "framework", "text": "Evolution of Snapchat Content Strategy", "attrs": null, "canon": { "kind": { "name": "Framework", "slug": "framework", "status": "active", "canonId": "019de52c-fa18-77c6-b10a-ccb8277ac0fa", "version": 1, "description": "Named conceptual framework instance." }, "tool": null, "subkind": { "name": "Framework instance", "slug": "instance", "status": "active", "canonId": "019de52d-05a2-72af-be0b-7edc60708a03", "version": 1, "description": null }, "framework": null }, "subkind": "instance", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:40.694+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "f9f5e2ab-4052-4a45-a3b9-34809a70f9b4", "parentComponentId": null }, { "bbox": { "h": 0.5, "w": 0.2, "x": 0.08, "y": 0.28 }, "kind": "image", "text": "Snapchat Stories UI", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Screenshot", "slug": "screenshot", "status": "active", "canonId": "019de52c-fd87-7509-8391-3d79fb339379", "version": 1, "description": null }, "framework": null }, "subkind": "screenshot", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:40.694+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "1f416bfa-2977-4f2a-938d-eb25d664704a", "parentComponentId": null }, { "bbox": { "h": 0.5, "w": 0.2, "x": 0.4, "y": 0.28 }, "kind": "image", "text": "Snapchat Live UI", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Screenshot", "slug": "screenshot", "status": "active", "canonId": "019de52c-fd87-7509-8391-3d79fb339379", "version": 1, "description": null }, "framework": null }, "subkind": "screenshot", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:40.694+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "95ccb14b-80a1-400a-9cd9-27d72d129362", "parentComponentId": null }, { "bbox": { "h": 0.5, "w": 0.2, "x": 0.72, "y": 0.28 }, "kind": "image", "text": "Snapchat Discover UI", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Screenshot", "slug": "screenshot", "status": "active", "canonId": "019de52c-fd87-7509-8391-3d79fb339379", "version": 1, "description": null }, "framework": null }, "subkind": "screenshot", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:40.694+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "af618e8e-4b26-47ef-8cd1-68fc2a0bacd0", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Monthly Active Users: 70MM+", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:09+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f27-6e5d9d96438a", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.3, "x": 0.68, "y": 0.75 }, "kind": "paragraph", "text": "70MM+ Snapchatters View Discover Each Month. Top Performing Channels Average 6 – 7 minutes per Snapchatter per Day", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:40.694+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "2a45734c-ba35-4279-8fc8-2d64c4dabee4", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.3, "x": 0.35, "y": 0.75 }, "kind": "paragraph", "text": "10–20MM Snapchatters View Live Stories Each Day. More Users Watched College Football and MTV Music Awards on Snapchat than Watched the Events on TV", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:40.694+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "425ac91f-4f1c-4285-8557-1a3be5ac32a8", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.96, "x": 0.02, "y": 0.02 }, "kind": "title", "text": "Snapchat Trifecta = Communications + Video + Platform... Stories (Personal) -> Live (Personal + Pro Curation) -> Discover (Pro)", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:40.694+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "1b7b3beb-922e-425c-8dda-39c96b274a61", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "The Rule of Three", "slug": "the-rule-of-three", "status": "active", "bestFor": null, "canonId": "019dd956-8962-75cf-b4f8-9394501a6f33", "version": 1, "bodyDocId": null, "description": "Ideas presented in threes are more memorable and satisfying", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Storyteller", "layer": "block", "agents": [ "Storyteller" ], "matchId": "019de7d7-effc-770c-acc8-009ac8c7f9c4", "evidence": "Three-part trifecta.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 81, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-efdd-77b8-aef7-e3333100b41b", "evidence": "Snapchat trifecta Stories->Live->Discover.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 85, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 81, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." }, { "tool": { "name": "Canvas framework", "slug": "canvas-framework", "status": "active", "bestFor": null, "canonId": "019dd9e1-5005-762c-82f8-265b08436ca1", "version": 1, "bodyDocId": null, "description": "Named canvas (business model canvas, value prop canvas, etc.).", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "3832a2f1-b8f3-4c0c-8d88-58d1cd6c43d5", "evidence": "framework/instance: Evolution of Snapchat Content Strategy", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.6, "extraction": { "at": "2026-07-16 22:00:32.352727+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 81, "whyItWorks": null, "antipattern": null, "cardinality": "optional", "narrativePurpose": null } ], "frameworks": [ { "matchId": "5001f15f-5927-4c5b-b367-6e418b709801", "evidence": "Chronological progression of product features from 10/13 to 1/15", "framework": null, "confidence": 0.9, "extraction": { "at": "2026-05-02 17:38:40.694+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 81, "frameworkName": "timeline" } ], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 89, "from": 73, "loop": { "name": "21_before_after", "slug": "21-before-after", "status": "active", "bestFor": "Product demos, process improvements, ROI justification", "canonId": "019dd956-6e68-73fd-a295-fe90145c2da8", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Old Way (Pain) -> The Moment of Change -> The New Way (Glory) -> The Measurable Delta", "description": "Show the dramatic contrast between the old way and the new way through side-by-side comparison", "familyLabel": null }, "matchId": "019de7d7-e1c6-73b0-8fd5-4ff03a42076e", "evidence": "Live->On-Demand->Semi-Live->Real-Live diagram (pp 76-77) frames before/after; case studies on Snapchat, FB Live.", "position": 6, "objective": "Map the before/after of video consumption from linear TV to live/social/UGC", "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 82, "type": "setup", "function": "summarize", "rawType": "thesis_headline", "block": null, "metadata": { "slideType": "thesis_headline", "slideTypeCanon": { "name": "Thesis headline", "slug": "thesis_headline", "status": "active", "canonId": "019de52d-073a-70cb-b9f6-772a597bb5af", "version": 1, "description": null }, "function": "summarize", "functionCanon": { "name": "Summarize", "slug": "summarize", "status": "active", "canonId": "019de52d-1541-704f-b86f-bf7b75056373", "version": 1, "description": null }, "density": "sparse", "densityScore": 5, "componentCount": 2, "textChars": 103, "nDataPoints": 0, "notes": null, "elementsJson": [ "headline_text" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:40.09+00", "seconds": 2.22, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/82", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-82", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.2, "w": 0.58, "x": 0.21, "y": 0.55 }, "kind": "paragraph", "text": "Camera-Based Storytelling + Creativity + Messaging / Sharing", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:40.09+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "ea9bdc8b-af96-4b4f-8c31-68c1be2bb8f7", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.52, "x": 0.24, "y": 0.275 }, "kind": "title", "text": "Advertisers / Brands = Finding Ways Into...", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:40.09+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "ce315663-24e2-410c-bfac-33cd3faeca98", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 89, "from": 73, "loop": { "name": "21_before_after", "slug": "21-before-after", "status": "active", "bestFor": "Product demos, process improvements, ROI justification", "canonId": "019dd956-6e68-73fd-a295-fe90145c2da8", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Old Way (Pain) -> The Moment of Change -> The New Way (Glory) -> The Measurable Delta", "description": "Show the dramatic contrast between the old way and the new way through side-by-side comparison", "familyLabel": null }, "matchId": "019de7d7-e1c6-73b0-8fd5-4ff03a42076e", "evidence": "Live->On-Demand->Semi-Live->Real-Live diagram (pp 76-77) frames before/after; case studies on Snapchat, FB Live.", "position": 6, "objective": "Map the before/after of video consumption from linear TV to live/social/UGC", "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 83, "type": "evidence", "function": "illustrate_case", "rawType": "client_example", "block": null, "metadata": { "slideType": "client_example", "slideTypeCanon": { "name": "Client example", "slug": "client_example", "status": "active", "canonId": "019de52d-0c87-77cb-9867-613ae22e95ac", "version": 1, "description": null }, "function": "illustrate_case", "functionCanon": { "name": "Illustrate case", "slug": "illustrate_case", "status": "active", "canonId": "019de52d-13b4-772c-bb73-1873612a7463", "version": 1, "description": null }, "density": "overcrowded", "densityScore": 78, "componentCount": 10, "textChars": 645, "nDataPoints": 6, "notes": null, "elementsJson": [ "headline_text", "screenshot", "paragraph" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:40.757+00", "seconds": 2.818, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/83", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-83", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "+23% Visitation Lift Within 7 Days of Seeing Friend's Geofilter", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:11+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f29-03a04510c129", "parentComponentId": null }, { "bbox": { "h": 0.4, "w": 0.25, "x": 0.6, "y": 0.38 }, "kind": "image", "text": "(RED) Snapchat filter example", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Photo", "slug": "photo", "status": "active", "canonId": "019de52c-fd37-757f-b4a8-ca26d4888875", "version": 1, "description": null }, "framework": null }, "subkind": "photo", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:40.757+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "9e12d5ff-3d02-4836-bd32-307c9cd3b481", "parentComponentId": null }, { "bbox": { "h": 0.4, "w": 0.25, "x": 0.15, "y": 0.38 }, "kind": "image", "text": "KFC Snapchat filter example", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Photo", "slug": "photo", "status": "active", "canonId": "019de52c-fd37-757f-b4a8-ca26d4888875", "version": 1, "description": null }, "framework": null }, "subkind": "photo", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:40.757+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "eca3c358-ccd0-415b-9b05-cf371f6954c1", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.35, "x": 0.1, "y": 0.8 }, "kind": "metric", "text": "+23% Visitation Lift Within 7 Days of Seeing Friend’s Geofilter", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": null, "subkind": { "name": "Big number", "slug": "big-number", "status": "active", "canonId": "019de52c-fc70-70c8-b965-0584548a9204", "version": 1, "description": null }, "framework": null }, "subkind": "big-number", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:40.757+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "966cd2c6-bb74-4318-9821-ee9732a54449", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.35, "x": 0.55, "y": 0.8 }, "kind": "metric", "text": "+90% Higher Likelihood of Donating to (RED) Among Those Who Saw Geofilter", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": null, "subkind": { "name": "Big number", "slug": "big-number", "status": "active", "canonId": "019de52c-fc70-70c8-b965-0584548a9204", "version": 1, "description": null }, "framework": null }, "subkind": "big-number", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:40.757+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "b9bf0bf6-986c-4858-9f1c-1f515471677f", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Views: 76MM+", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:11+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f29-06672718d054", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.35, "x": 0.1, "y": 0.15 }, "kind": "paragraph", "text": "'Love at First Bite' by KFC 9MM+ Views. Geofilter offered @ 900+ KFCs in UK and applied 200K+ times, 12/15 – 2/16", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:40.757+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "4d8babf3-9ff5-4d79-90e3-df5a30728e1c", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.35, "x": 0.55, "y": 0.15 }, "kind": "paragraph", "text": "'World AIDS Day – Join the Fight' by (RED) 76MM+ Views. Each time a geofilter was sent, Bill & Melinda Gates Foundation donated $3 to (RED)’s fight against AIDS 12/15", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:40.757+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "97624113-5a60-4081-bbc3-47ab4482a791", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.1, "x": 0.1, "y": 0.95 }, "kind": "source-note", "text": "Source: Snapchat", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:40.757+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "a24ea2fd-c565-4083-b491-686e31b84de0", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.8, "x": 0.05, "y": 0.05 }, "kind": "title", "text": "Brand Filters Integrated into Snapchat Snaps by Users... Often Geo-Fenced, in Venue", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:40.757+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "ee70ca45-eea6-4da0-826b-a4f223ffa4eb", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 89, "from": 73, "loop": { "name": "21_before_after", "slug": "21-before-after", "status": "active", "bestFor": "Product demos, process improvements, ROI justification", "canonId": "019dd956-6e68-73fd-a295-fe90145c2da8", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Old Way (Pain) -> The Moment of Change -> The New Way (Glory) -> The Measurable Delta", "description": "Show the dramatic contrast between the old way and the new way through side-by-side comparison", "familyLabel": null }, "matchId": "019de7d7-e1c6-73b0-8fd5-4ff03a42076e", "evidence": "Live->On-Demand->Semi-Live->Real-Live diagram (pp 76-77) frames before/after; case studies on Snapchat, FB Live.", "position": 6, "objective": "Map the before/after of video consumption from linear TV to live/social/UGC", "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 84, "type": "evidence", "title": "Part of KPCB Internet Trends 2016 deck.", "function": "illustrate_case", "rawType": "client_example", "block": null, "metadata": { "slideType": "client_example", "slideTypeCanon": { "name": "Client example", "slug": "client_example", "status": "active", "canonId": "019de52d-0c87-77cb-9867-613ae22e95ac", "version": 1, "description": null }, "function": "illustrate_case", "functionCanon": { "name": "Illustrate case", "slug": "illustrate_case", "status": "active", "canonId": "019de52d-13b4-772c-bb73-1873612a7463", "version": 1, "description": null }, "density": "dense", "densityScore": 61, "componentCount": 8, "textChars": 409, "nDataPoints": 4, "notes": "Part of KPCB Internet Trends 2016 deck.", "elementsJson": [ "headline_text", "photo", "paragraph" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:40.687+00", "seconds": 2.726, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/84", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-84", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "Average Snapchatter Plays With Sponsored Lens for 20 Seconds", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:09+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f27-e81fa828b062", "parentComponentId": null }, { "bbox": { "h": 0.4, "w": 0.2, "x": 0.1, "y": 0.34 }, "kind": "image", "text": "Taco Bell Cinco de Mayo Lens", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Photo", "slug": "photo", "status": "active", "canonId": "019de52c-fd37-757f-b4a8-ca26d4888875", "version": 1, "description": null }, "framework": null }, "subkind": "photo", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:40.687+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "236f1588-745c-47a8-9ad4-1f82c1add9d4", "parentComponentId": null }, { "bbox": { "h": 0.4, "w": 0.2, "x": 0.4, "y": 0.34 }, "kind": "image", "text": "Gatorade Super Bowl Lens", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Photo", "slug": "photo", "status": "active", "canonId": "019de52c-fd37-757f-b4a8-ca26d4888875", "version": 1, "description": null }, "framework": null }, "subkind": "photo", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:40.687+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "6611b125-a037-4547-8464-6fb04cf821f3", "parentComponentId": null }, { "bbox": { "h": 0.4, "w": 0.2, "x": 0.7, "y": 0.34 }, "kind": "image", "text": "Iron Man Filter from MSQRD", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Photo", "slug": "photo", "status": "active", "canonId": "019de52c-fd37-757f-b4a8-ca26d4888875", "version": 1, "description": null }, "framework": null }, "subkind": "photo", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:40.687+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "e772b892-056c-4f69-a766-289aa5cb0931", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.5, "x": 0.1, "y": 0.78 }, "kind": "metric", "text": "Average Snapchatter Plays With Sponsored Lens for 20 Seconds", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": null, "subkind": { "name": "Big number", "slug": "big-number", "status": "active", "canonId": "019de52c-fc70-70c8-b965-0584548a9204", "version": 1, "description": null }, "framework": null }, "subkind": "big-number", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:40.687+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "0c975944-4396-48a4-a0bb-41feaa390fcd", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Average interaction time: 20 Seconds", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:09+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f27-ef9713334292", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.4, "x": 0.1, "y": 0.94 }, "kind": "source-note", "text": "Source: Snapchat, Facebook. Time on sponsored lens excludes time taking and uploading image / video.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:40.687+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "758f8b23-0572-43c2-a639-4a89d80c8909", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.7, "x": 0.02, "y": 0.02 }, "kind": "title", "text": "Branded Snapchat Lenses & Facebook Filters... Increasingly Applied by Users", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:40.687+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "40ed7b8e-f3ad-41d5-bcc5-f1ee2b43335b", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 89, "from": 73, "loop": { "name": "21_before_after", "slug": "21-before-after", "status": "active", "bestFor": "Product demos, process improvements, ROI justification", "canonId": "019dd956-6e68-73fd-a295-fe90145c2da8", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Old Way (Pain) -> The Moment of Change -> The New Way (Glory) -> The Measurable Delta", "description": "Show the dramatic contrast between the old way and the new way through side-by-side comparison", "familyLabel": null }, "matchId": "019de7d7-e1c6-73b0-8fd5-4ff03a42076e", "evidence": "Live->On-Demand->Semi-Live->Real-Live diagram (pp 76-77) frames before/after; case studies on Snapchat, FB Live.", "position": 6, "objective": "Map the before/after of video consumption from linear TV to live/social/UGC", "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 85, "type": "setup", "function": "summarize", "rawType": "thesis_headline", "block": null, "metadata": { "slideType": "thesis_headline", "slideTypeCanon": { "name": "Thesis headline", "slug": "thesis_headline", "status": "active", "canonId": "019de52d-073a-70cb-b9f6-772a597bb5af", "version": 1, "description": null }, "function": "summarize", "functionCanon": { "name": "Summarize", "slug": "summarize", "status": "active", "canonId": "019de52d-1541-704f-b86f-bf7b75056373", "version": 1, "description": null }, "density": "sparse", "densityScore": 2, "componentCount": 1, "textChars": 63, "nDataPoints": 0, "notes": null, "elementsJson": [ "headline_text" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:39.733+00", "seconds": 1.716, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/85", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-85", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.5, "w": 0.5, "x": 0.25, "y": 0.25 }, "kind": "title", "text": "Real-Live = Facebook Live... New Paradigm for Live Broadcasting", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:39.733+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "e23a6fab-4d7a-4cad-b54c-d9c7d83fabff", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 89, "from": 73, "loop": { "name": "21_before_after", "slug": "21-before-after", "status": "active", "bestFor": "Product demos, process improvements, ROI justification", "canonId": "019dd956-6e68-73fd-a295-fe90145c2da8", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Old Way (Pain) -> The Moment of Change -> The New Way (Glory) -> The Measurable Delta", "description": "Show the dramatic contrast between the old way and the new way through side-by-side comparison", "familyLabel": null }, "matchId": "019de7d7-e1c6-73b0-8fd5-4ff03a42076e", "evidence": "Live->On-Demand->Semi-Live->Real-Live diagram (pp 76-77) frames before/after; case studies on Snapchat, FB Live.", "position": 6, "objective": "Map the before/after of video consumption from linear TV to live/social/UGC", "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 86, "type": "evidence", "title": "The slide highlights the power of viral UGC on Facebook Live, specifically noting the impact on Kohl's brand and app performance.", "function": "illustrate_case", "rawType": "case_study", "block": null, "metadata": { "slideType": "case_study", "slideTypeCanon": { "name": "Case study", "slug": "case_study", "status": "active", "canonId": "019de52d-0b95-7344-8090-926f3b8e92c8", "version": 1, "description": null }, "function": "illustrate_case", "functionCanon": { "name": "Illustrate case", "slug": "illustrate_case", "status": "active", "canonId": "019de52d-13b4-772c-bb73-1873612a7463", "version": 1, "description": null }, "density": "dense", "densityScore": 56, "componentCount": 7, "textChars": 466, "nDataPoints": 2, "notes": "The slide highlights the power of viral UGC on Facebook Live, specifically noting the impact on Kohl's brand and app performance.", "elementsJson": [ "photo", "paragraph" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:41.248+00", "seconds": 3.06, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/86", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-86", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "Kohl's = Became Leading App in USA iOS App Store", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:09+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f27-cf55f38469b4", "parentComponentId": null }, { "bbox": { "h": 0.45, "w": 0.72, "x": 0.14, "y": 0.39 }, "kind": "image", "text": "Screenshots of the Facebook Live video", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Screenshot", "slug": "screenshot", "status": "active", "canonId": "019de52c-fd87-7509-8391-3d79fb339379", "version": 1, "description": null }, "framework": null }, "subkind": "screenshot", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:41.248+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "5de4aae1-bd3a-4677-9edb-fcb761c62bfc", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.6, "x": 0.2, "y": 0.25 }, "kind": "list", "text": "Most Viewed Live Video @ 153MM+ Views, 5/16\nKohl's = Mentioned 2 Times in Video\nKohl's = Became Leading App in USA iOS App Store\nChewbacca Mask Demand Rose Dramatically", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:41.248+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "add741fe-7e04-49e4-b1c8-aaa42b613191", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Views: 153MM+", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:09+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f27-d15e19fb0080", "parentComponentId": null }, { "bbox": { "h": 0.02, "w": 0.1, "x": 0.1, "y": 0.95 }, "kind": "source-note", "text": "Source: Facebook", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:41.248+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "0d959b80-a310-42fb-bc9c-a6236812de57", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.7, "x": 0.15, "y": 0.18 }, "kind": "title", "text": "Candace Payne in Chewbacca Mask on Facebook Live", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Action title", "slug": "action-title", "status": "active", "canonId": "019de52c-fb31-734c-a0f5-a3935b73135d", "version": 1, "description": null }, "framework": null }, "subkind": "action-title", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:41.248+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "d05a5287-16d0-43f4-ba50-353f6928eae5", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.9, "x": 0.05, "y": 0.05 }, "kind": "title", "text": "UGC (User Generated Content) @ New Orders of Viewing Magnitude... Facebook Live = Raw / Authentic / Accessible for Creators & Consumers", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:41.248+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "17cf65a8-3105-4bb9-b688-8894063d862d", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Emotional Appeal", "slug": "emotional-appeal", "status": "active", "bestFor": null, "canonId": "019dd956-bde9-7668-8be7-0097678fec59", "version": 1, "bodyDocId": null, "description": "Connecting to audience feelings rather than just logic", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "019de7d7-f03b-7009-b705-7a3b28acf22d", "evidence": "Emotional virality story.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 60, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 86, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Story Moments", "slug": "story-moments", "status": "active", "bestFor": null, "canonId": "019dd956-ae4e-768d-a18b-108e6cda511e", "version": 1, "bodyDocId": null, "description": "Design key emotional beats: The Shock, The Vision, The Proof, The Choice, The Call", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "019de7d7-f01b-778b-bc7f-8d57009f6f81", "evidence": "Chewbacca-Mom viral moment as narrative beat.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 65, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 86, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 89, "from": 73, "loop": { "name": "21_before_after", "slug": "21-before-after", "status": "active", "bestFor": "Product demos, process improvements, ROI justification", "canonId": "019dd956-6e68-73fd-a295-fe90145c2da8", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Old Way (Pain) -> The Moment of Change -> The New Way (Glory) -> The Measurable Delta", "description": "Show the dramatic contrast between the old way and the new way through side-by-side comparison", "familyLabel": null }, "matchId": "019de7d7-e1c6-73b0-8fd5-4ff03a42076e", "evidence": "Live->On-Demand->Semi-Live->Real-Live diagram (pp 76-77) frames before/after; case studies on Snapchat, FB Live.", "position": 6, "objective": "Map the before/after of video consumption from linear TV to live/social/UGC", "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 87, "type": "setup", "function": "summarize", "rawType": "thesis_headline", "block": null, "metadata": { "slideType": "thesis_headline", "slideTypeCanon": { "name": "Thesis headline", "slug": "thesis_headline", "status": "active", "canonId": "019de52d-073a-70cb-b9f6-772a597bb5af", "version": 1, "description": null }, "function": "summarize", "functionCanon": { "name": "Summarize", "slug": "summarize", "status": "active", "canonId": "019de52d-1541-704f-b86f-bf7b75056373", "version": 1, "description": null }, "density": "sparse", "densityScore": 3, "componentCount": 1, "textChars": 78, "nDataPoints": 0, "notes": null, "elementsJson": [ "headline_text" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:41.614+00", "seconds": 3.394, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/87", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-87", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.4, "w": 0.7, "x": 0.15, "y": 0.25 }, "kind": "title", "text": "Live Sports Viewing = Has Always Been Social But.... It’s Just Getting Started", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:41.614+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "30d7ca78-ab24-4f93-b972-9a8cb0307a22", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 89, "from": 73, "loop": { "name": "21_before_after", "slug": "21-before-after", "status": "active", "bestFor": "Product demos, process improvements, ROI justification", "canonId": "019dd956-6e68-73fd-a295-fe90145c2da8", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Old Way (Pain) -> The Moment of Change -> The New Way (Glory) -> The Measurable Delta", "description": "Show the dramatic contrast between the old way and the new way through side-by-side comparison", "familyLabel": null }, "matchId": "019de7d7-e1c6-73b0-8fd5-4ff03a42076e", "evidence": "Live->On-Demand->Semi-Live->Real-Live diagram (pp 76-77) frames before/after; case studies on Snapchat, FB Live.", "position": 6, "objective": "Map the before/after of video consumption from linear TV to live/social/UGC", "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 88, "type": "setup", "function": "establish_context", "rawType": "thesis_headline", "block": null, "metadata": { "slideType": "thesis_headline", "slideTypeCanon": { "name": "Thesis headline", "slug": "thesis_headline", "status": "active", "canonId": "019de52d-073a-70cb-b9f6-772a597bb5af", "version": 1, "description": null }, "function": "establish_context", "functionCanon": { "name": "Establish context", "slug": "establish_context", "status": "active", "canonId": "019de52d-1314-74e6-9074-d213dc0bdcdf", "version": 1, "description": null }, "density": "sparse", "densityScore": 16, "componentCount": 3, "textChars": 281, "nDataPoints": 0, "notes": null, "elementsJson": [ "headline_text" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:40.51+00", "seconds": 2.273, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/88", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-88", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "Live Streaming – Wrapped with Social Media Tools – Helps Make that More of a Reality...", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:09+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f28-2a17b9aeced0", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.7, "x": 0.15, "y": 0.55 }, "kind": "title", "text": "Live Streaming – Wrapped with Social Media Tools – Helps Make that More of a Reality...", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Action title", "slug": "action-title", "status": "active", "canonId": "019de52c-fb31-734c-a0f5-a3935b73135d", "version": 1, "description": null }, "framework": null }, "subkind": "action-title", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:40.51+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "1cf91f0d-fc8f-4a5e-9059-ea6bc917e945", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.8, "x": 0.1, "y": 0.2 }, "kind": "title", "text": "How Often are You Able to Watch a Game (on Sidelines or TV) with All Your Friends Who Share Your Team Love?", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:40.51+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "64bdb807-82c4-4205-bd2e-f367f13005ce", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 89, "from": 73, "loop": { "name": "21_before_after", "slug": "21-before-after", "status": "active", "bestFor": "Product demos, process improvements, ROI justification", "canonId": "019dd956-6e68-73fd-a295-fe90145c2da8", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Old Way (Pain) -> The Moment of Change -> The New Way (Glory) -> The Measurable Delta", "description": "Show the dramatic contrast between the old way and the new way through side-by-side comparison", "familyLabel": null }, "matchId": "019de7d7-e1c6-73b0-8fd5-4ff03a42076e", "evidence": "Live->On-Demand->Semi-Live->Real-Live diagram (pp 76-77) frames before/after; case studies on Snapchat, FB Live.", "position": 6, "objective": "Map the before/after of video consumption from linear TV to live/social/UGC", "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 89, "type": "evidence", "title": "The slide uses a series of screenshots with annotations to explain the features of a hypothetical integrated sports viewing experience.", "function": "illustrate_case", "rawType": "client_example", "block": null, "metadata": { "slideType": "client_example", "slideTypeCanon": { "name": "Client example", "slug": "client_example", "status": "active", "canonId": "019de52d-0c87-77cb-9867-613ae22e95ac", "version": 1, "description": null }, "function": "illustrate_case", "functionCanon": { "name": "Illustrate case", "slug": "illustrate_case", "status": "active", "canonId": "019de52d-13b4-772c-bb73-1873612a7463", "version": 1, "description": null }, "density": "dense", "densityScore": 50, "componentCount": 6, "textChars": 666, "nDataPoints": 0, "notes": "The slide uses a series of screenshots with annotations to explain the features of a hypothetical integrated sports viewing experience.", "elementsJson": [ "headline_text", "screenshot", "paragraph" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:45.514+00", "seconds": 7.142, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/89", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-89", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "Hypothetical Mock-Up Complete Sports Viewing Platform = Live Broadcast + Analysis + Scores + Replays + Notifications + Social Media Tools", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:09+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f28-0668a368b6ba", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.3, "x": 0.05, "y": 0.95 }, "kind": "disclaimer", "text": "Source: KPCB Hypothetical Mock-Up. Design provided by Brian Tran (KPCB Edge)", "attrs": null, "canon": { "kind": { "name": "Disclaimer", "slug": "disclaimer", "status": "active", "canonId": "91173477-d91f-4024-bbaf-d4f93e3f82dc", "version": 1, "description": "Legal/cautionary text that occupies most of the body of its slide." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:45.514+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "d6435439-92bf-4e37-9710-34cae3245cdf", "parentComponentId": null }, { "bbox": { "h": 0.45, "w": 0.95, "x": 0.03, "y": 0.45 }, "kind": "image", "text": "Series of mobile app screenshots showing various UI states", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Screenshot", "slug": "screenshot", "status": "active", "canonId": "019de52c-fd87-7509-8391-3d79fb339379", "version": 1, "description": null }, "framework": null }, "subkind": "screenshot", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:45.514+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "256fd491-692b-4b40-b987-d6acd8fe193b", "parentComponentId": null }, { "bbox": { "h": 0.5, "w": 0.9, "x": 0.05, "y": 0.35 }, "kind": "legend", "text": "Annotations pointing to specific UI elements like notifications, scoreboard, tweets, commentary, and toggles.", "attrs": null, "canon": { "kind": { "name": "Legend", "slug": "legend", "status": "active", "canonId": "31361933-3d22-4c70-bbad-0801e9fffc0c", "version": 1, "description": "Color/symbol decoder placed adjacent to a chart or diagram." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:45.514+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "b2ee481f-05e0-4a84-95ed-60c9815593df", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.9, "x": 0.05, "y": 0.02 }, "kind": "title", "text": "2016E = Milestone Year for ‘Traditional’ Live Streaming on Social Networks... NFL Live Broadcast TV of Thursday Night Football on Twitter (Fall 2016)", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:45.514+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "62e8eb0c-2b47-4417-bb0a-6c9aca381a5a", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.8, "x": 0.1, "y": 0.18 }, "kind": "title", "text": "Hypothetical Mock-Up\nComplete Sports Viewing Platform =\nLive Broadcast + Analysis + Scores + Replays + Notifications + Social Media Tools", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Subtitle", "slug": "subtitle", "status": "active", "canonId": "019de52c-fb09-739d-900c-815b0d9ac526", "version": 1, "description": null }, "framework": null }, "subkind": "subtitle", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:45.514+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "60b5e87a-a23e-47a2-aaae-1217590ffc09", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 89, "from": 73, "loop": { "name": "21_before_after", "slug": "21-before-after", "status": "active", "bestFor": "Product demos, process improvements, ROI justification", "canonId": "019dd956-6e68-73fd-a295-fe90145c2da8", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Old Way (Pain) -> The Moment of Change -> The New Way (Glory) -> The Measurable Delta", "description": "Show the dramatic contrast between the old way and the new way through side-by-side comparison", "familyLabel": null }, "matchId": "019de7d7-e1c6-73b0-8fd5-4ff03a42076e", "evidence": "Live->On-Demand->Semi-Live->Real-Live diagram (pp 76-77) frames before/after; case studies on Snapchat, FB Live.", "position": 6, "objective": "Map the before/after of video consumption from linear TV to live/social/UGC", "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 90, "type": "setup", "function": "transition", "rawType": "section_divider", "block": null, "metadata": { "slideType": "section_divider", "slideTypeCanon": { "name": "Section divider", "slug": "section_divider", "status": "active", "canonId": "019de52d-066a-7402-9554-6ae504999041", "version": 1, "description": null }, "function": "transition", "functionCanon": { "name": "Transition", "slug": "transition", "status": "active", "canonId": "019de52d-1365-7149-92aa-66df859e75fd", "version": 1, "description": null }, "density": "sparse", "densityScore": 2, "componentCount": 1, "textChars": 66, "nDataPoints": 0, "notes": null, "elementsJson": [ "headline_text" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:40.818+00", "seconds": 2.281, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/90", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-90", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.2, "w": 0.8, "x": 0.1, "y": 0.4 }, "kind": "title", "text": "Image Usage / Sophistication / Relevance Continues to Grow Rapidly", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:40.818+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "972316ee-f9f4-4a7c-8e3f-026b823d6e1f", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [], "locked": true }, { "page": 91, "type": "analysis", "title": "The chart tracks the rapid growth of photo sharing, specifically segmenting Facebook-owned properties in 2015.", "function": "analyze_data", "rawType": "industry_trends", "block": null, "metadata": { "slideType": "industry_trends", "slideTypeCanon": { "name": "Industry trends", "slug": "industry_trends", "status": "active", "canonId": "019de52d-0b1d-7705-a0e0-c663199cd1fa", "version": 1, "description": null }, "function": "analyze_data", "functionCanon": { "name": "Analyze data", "slug": "analyze_data", "status": "active", "canonId": "019de52d-1590-7413-8c82-cc218cff40b4", "version": 1, "description": null }, "density": "dense", "densityScore": 57, "componentCount": 7, "textChars": 450, "nDataPoints": 11, "notes": "The chart tracks the rapid growth of photo sharing, specifically segmenting Facebook-owned properties in 2015.", "elementsJson": [ "headline_text", "bar_chart_stacked", "footnote" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:44.756+00", "seconds": 6.073, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/91", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-91", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.2, "w": 0.1, "x": 0.85, "y": 0.55 }, "kind": "callout", "text": "Facebook-owned properties", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": null, "subkind": { "name": "Primary callout", "slug": "primary", "status": "active", "canonId": "019de52c-fbd1-70eb-a9ce-8997f8674c1d", "version": 1, "description": null }, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:44.756+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "8d0dcbb2-d45e-433a-a529-5e81a834e286", "parentComponentId": null }, { "bbox": { "h": 0.55, "w": 0.75, "x": 0.12, "y": 0.28 }, "kind": "chart", "text": null, "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Stacked bar chart", "slug": "bar-stacked", "status": "active", "canonId": "019de52c-feec-74bf-9028-15b74f84f0a7", "version": 1, "description": null }, "framework": null }, "subkind": "bar-stacked", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:44.756+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "802900f9-b77a-4c43-96b3-771cd3f6c033", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.8, "x": 0.1, "y": 0.93 }, "kind": "disclaimer", "text": "Source: Snapchat, Company disclosed information, KPCB estimates. Note: Snapchat data includes images and video. WhatsApp data estimated based on average of photos shared disclosed in Q1:15 and Q1:16. Instagram data per Instagram press release.", "attrs": null, "canon": { "kind": { "name": "Disclaimer", "slug": "disclaimer", "status": "active", "canonId": "91173477-d91f-4024-bbaf-d4f93e3f82dc", "version": 1, "description": "Legal/cautionary text that occupies most of the body of its slide." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:44.756+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "690be1af-52eb-4561-81d3-fb5d9f8ccaaf", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.25, "x": 0.25, "y": 0.4 }, "kind": "legend", "text": "Snapchat, Facebook Messenger, Instagram, WhatsApp, Facebook", "attrs": null, "canon": { "kind": { "name": "Legend", "slug": "legend", "status": "active", "canonId": "31361933-3d22-4c70-bbad-0801e9fffc0c", "version": 1, "description": "Color/symbol decoder placed adjacent to a chart or diagram." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:44.756+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "a77bc3d8-9ada-4250-ade2-7e86ca67ec1b", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Daily photos shared: 3,000", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:10+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f28-796d9b5dd9bf", "parentComponentId": null }, { "bbox": { "h": 0.06, "w": 0.45, "x": 0.05, "y": 0.04 }, "kind": "title", "text": "Image Growth Remains Strong", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:44.756+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "c19f035f-17cf-443f-b2f4-c1f6160f9d45", "parentComponentId": null }, { "bbox": { "h": 0.04, "w": 0.85, "x": 0.08, "y": 0.19 }, "kind": "title", "text": "Daily Number of Photos Shared on Select Platforms, Global, 2005 – 2015", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Subtitle", "slug": "subtitle", "status": "active", "canonId": "019de52c-fb09-739d-900c-815b0d9ac526", "version": 1, "description": null }, "framework": null }, "subkind": "subtitle", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:44.756+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "4450918a-506a-4ae7-bccd-9a136cbc7cfb", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-f05b-7370-917f-b347d09eceef", "evidence": "3,000 daily photos shared per user, scale headline.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 80, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 91, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." }, { "tool": { "name": "Annotation", "slug": "annotation", "status": "active", "bestFor": null, "canonId": "019dd956-b5b9-7668-bf0e-3af99823ec5c", "version": 1, "bodyDocId": null, "description": "Adding explanatory labels to highlight key data points", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "019de7d7-f079-769c-91f1-34085d45dc12", "evidence": "Bracket marks Facebook-owned share.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 72, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 91, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Chartjunk Elimination", "slug": "chartjunk-elimination", "status": "active", "bestFor": null, "canonId": "019dd956-b49e-7453-ab01-b60f338eeda1", "version": 1, "bodyDocId": null, "description": "Remove decorative elements that don't convey data: 3D effects, shadows, unnecessary gridlines", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "b4a4a022-6cc5-4b1a-8060-d817426f1ccc", "evidence": "Annotations pointing to specific UI elements like notifications, scoreboard, tweets, commentary, and toggles.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:00:26.584561+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 91, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 97, "from": 91, "loop": { "name": "03_aha_moment", "slug": "03-aha-moment", "status": "active", "bestFor": "Data-heavy sections, research findings, analytical arguments", "canonId": "019dd956-66f4-7668-ab25-cec9c996c0bc", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Problem/Question -> What the Data Shows -> The Insight", "description": "Establish a tension, present data, then deliver the insight that changes everything", "familyLabel": null }, "matchId": "019de7d7-e1e5-72e2-bdd4-d377842d1c46", "evidence": "p91 photos shared exploding -> pp93-94 Pinterest/OfferUp shopping use -> pp95-97 Houzz monetization.", "position": 7, "objective": "From rising image-share data to insight that image platforms drive commerce", "confidence": 70, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 92, "type": "setup", "function": "transition", "rawType": "section_divider", "block": null, "metadata": { "slideType": "section_divider", "slideTypeCanon": { "name": "Section divider", "slug": "section_divider", "status": "active", "canonId": "019de52d-066a-7402-9554-6ae504999041", "version": 1, "description": null }, "function": "transition", "functionCanon": { "name": "Transition", "slug": "transition", "status": "active", "canonId": "019de52d-1365-7149-92aa-66df859e75fd", "version": 1, "description": null }, "density": "sparse", "densityScore": 1, "componentCount": 1, "textChars": 36, "nDataPoints": 0, "notes": null, "elementsJson": [ "headline_text" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:40.169+00", "seconds": 1.474, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/92", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-92", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.3, "w": 0.7, "x": 0.15, "y": 0.35 }, "kind": "title", "text": "Images = Monetization Options Rising", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:40.169+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "9747407b-a1db-4467-9e98-9e6f7f6b3514", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 97, "from": 91, "loop": { "name": "03_aha_moment", "slug": "03-aha-moment", "status": "active", "bestFor": "Data-heavy sections, research findings, analytical arguments", "canonId": "019dd956-66f4-7668-ab25-cec9c996c0bc", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Problem/Question -> What the Data Shows -> The Insight", "description": "Establish a tension, present data, then deliver the insight that changes everything", "familyLabel": null }, "matchId": "019de7d7-e1e5-72e2-bdd4-d377842d1c46", "evidence": "p91 photos shared exploding -> pp93-94 Pinterest/OfferUp shopping use -> pp95-97 Houzz monetization.", "position": 7, "objective": "From rising image-share data to insight that image platforms drive commerce", "confidence": 70, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 93, "type": "analysis", "title": "Data from KPCB Internet Trends 2016 report.", "function": "analyze_data", "rawType": "industry_trends", "block": null, "metadata": { "slideType": "industry_trends", "slideTypeCanon": { "name": "Industry trends", "slug": "industry_trends", "status": "active", "canonId": "019de52d-0b1d-7705-a0e0-c663199cd1fa", "version": 1, "description": null }, "function": "analyze_data", "functionCanon": { "name": "Analyze data", "slug": "analyze_data", "status": "active", "canonId": "019de52d-1590-7413-8c82-cc218cff40b4", "version": 1, "description": null }, "density": "balanced", "densityScore": 44, "componentCount": 5, "textChars": 520, "nDataPoints": 12, "notes": "Data from KPCB Internet Trends 2016 report.", "elementsJson": [ "bar_chart_vertical", "bar_chart_horizontal" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:41.728+00", "seconds": 2.885, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/93", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-93", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.65, "w": 0.4, "x": 0.55, "y": 0.2 }, "kind": "chart", "text": "'What Do You Use Pinterest For?' (% of Respondents), USA, 4/16", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Horizontal bar chart", "slug": "bar-horizontal", "status": "active", "canonId": "019de52c-fec4-7221-986b-1cb5f5e84b1f", "version": 1, "description": null }, "framework": null }, "subkind": "bar-horizontal", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:41.728+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "7fa1fecc-76f0-4cdf-adf8-eb76e828c50e", "parentComponentId": null }, { "bbox": { "h": 0.65, "w": 0.45, "x": 0.05, "y": 0.2 }, "kind": "chart", "text": "% of Users on Each Platform Who Utilize to Find / Shop for Products, USA, 4/16", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Vertical bar chart", "slug": "bar-vertical", "status": "active", "canonId": "019de52c-fe9d-70f2-b3b7-a9ae294f5917", "version": 1, "description": null }, "framework": null }, "subkind": "bar-vertical", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:41.728+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "1262ce8f-3122-4469-a68f-fd729918a241", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Percentage of users: 55%", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:09+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f28-4600fa8bbeb2", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.6, "x": 0.05, "y": 0.92 }, "kind": "source-note", "text": "Source: Cowen & Company \"ShopTalk Conference Takeaways: A Glimpse Into The Future Of Retail & eCommerce\" (05/16). Note: Based on Cowen & Company proprietary Consumer Internet Survey from April / May 2016 of 2,500 US consumers, 30% of which where Pinterest MAUs as of 4/16.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:41.728+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "95949dfe-e0d6-41b7-8336-91a56002f134", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.8, "x": 0.05, "y": 0.05 }, "kind": "title", "text": "Image-Based Platforms Like Pinterest = Often Used for Finding Products / Shopping...", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:41.728+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "241d157a-9e40-4f49-bb45-523f09a1e2d1", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Chart Selection Guide", "slug": "chart-selection-guide", "status": "active", "bestFor": null, "canonId": "019dd956-b1a0-700b-ba17-0e16c4d5bcae", "version": 1, "bodyDocId": null, "description": "Choosing the right chart type for your data and message", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "342b96f0-e813-4932-9580-55d158ff3fda", "evidence": "chart/bar-vertical: % of Users on Each Platform Who Utilize to Find / Shop for Products, USA, 4/16", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:00:26.697116+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 93, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 97, "from": 91, "loop": { "name": "03_aha_moment", "slug": "03-aha-moment", "status": "active", "bestFor": "Data-heavy sections, research findings, analytical arguments", "canonId": "019dd956-66f4-7668-ab25-cec9c996c0bc", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Problem/Question -> What the Data Shows -> The Insight", "description": "Establish a tension, present data, then deliver the insight that changes everything", "familyLabel": null }, "matchId": "019de7d7-e1e5-72e2-bdd4-d377842d1c46", "evidence": "p91 photos shared exploding -> pp93-94 Pinterest/OfferUp shopping use -> pp95-97 Houzz monetization.", "position": 7, "objective": "From rising image-share data to insight that image platforms drive commerce", "confidence": 70, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 94, "type": "analysis", "title": "The slide uses a red dashed box to draw attention to the growth of OfferUp.", "function": "quantify_impact", "rawType": "industry_trends", "block": null, "metadata": { "slideType": "industry_trends", "slideTypeCanon": { "name": "Industry trends", "slug": "industry_trends", "status": "active", "canonId": "019de52d-0b1d-7705-a0e0-c663199cd1fa", "version": 1, "description": null }, "function": "quantify_impact", "functionCanon": { "name": "Quantify impact", "slug": "quantify_impact", "status": "active", "canonId": "019de52d-1630-720d-b57d-fa7f76bebd8d", "version": 1, "description": null }, "density": "balanced", "densityScore": 39, "componentCount": 5, "textChars": 391, "nDataPoints": 12, "notes": "The slide uses a red dashed box to draw attention to the growth of OfferUp.", "elementsJson": [ "headline_text", "bar_chart_grouped", "footnote" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:42.513+00", "seconds": 3.568, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/94", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-94", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.65, "w": 0.8, "x": 0.1, "y": 0.2 }, "kind": "chart", "text": "Average Daily Time Spent per User, USA, 11/14 & 6/15", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Grouped bar chart", "slug": "bar-grouped", "status": "active", "canonId": "019de52c-ff3b-751e-a8ff-f21ff11097b1", "version": 1, "description": null }, "framework": null }, "subkind": "bar-grouped", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:42.513+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "c98909ce-1728-4bc4-9d48-e939d752ab3b", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.1, "x": 0.75, "y": 0.3 }, "kind": "legend", "text": "11/14 (light green), 6/15 (dark blue)", "attrs": null, "canon": { "kind": { "name": "Legend", "slug": "legend", "status": "active", "canonId": "31361933-3d22-4c70-bbad-0801e9fffc0c", "version": 1, "description": "Color/symbol decoder placed adjacent to a chart or diagram." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:42.513+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "d31c5984-307f-40e7-a73c-4d5e0acad510", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Average Daily Time Spent per User: 25", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:09+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f28-5f421bce898f", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.4, "x": 0.05, "y": 0.95 }, "kind": "source-note", "text": "Source: OfferUp, Cowen & Company 'Twitter/Social User Survey 2.0: What's changed?' Note: Based on SurveyMonkey survey conducted in June 2015 on 2,000 US persons aged 18+", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:42.513+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "193e7005-bb9e-40eb-8a34-870d171afbf5", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.9, "x": 0.05, "y": 0.05 }, "kind": "title", "text": "...Image-Based Platforms Like OfferUp = High (& Rising) Engagement Levels & Used for Commerce...", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:42.513+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "eb3a283f-8792-4516-aee6-c97223fa9d69", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Chart Selection Guide", "slug": "chart-selection-guide", "status": "active", "bestFor": null, "canonId": "019dd956-b1a0-700b-ba17-0e16c4d5bcae", "version": 1, "bodyDocId": null, "description": "Choosing the right chart type for your data and message", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "1083d678-721e-4029-a5c5-7e4985c1a394", "evidence": "chart/bar-grouped: Average Daily Time Spent per User, USA, 11/14 & 6/15", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:00:26.774479+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 94, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 97, "from": 91, "loop": { "name": "03_aha_moment", "slug": "03-aha-moment", "status": "active", "bestFor": "Data-heavy sections, research findings, analytical arguments", "canonId": "019dd956-66f4-7668-ab25-cec9c996c0bc", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Problem/Question -> What the Data Shows -> The Insight", "description": "Establish a tension, present data, then deliver the insight that changes everything", "familyLabel": null }, "matchId": "019de7d7-e1e5-72e2-bdd4-d377842d1c46", "evidence": "p91 photos shared exploding -> pp93-94 Pinterest/OfferUp shopping use -> pp95-97 Houzz monetization.", "position": 7, "objective": "From rising image-share data to insight that image platforms drive commerce", "confidence": 70, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 95, "type": "setup", "title": "KPCB Internet Trends 2016 slide 94.", "function": "compare_peers", "rawType": "peer_benchmark", "block": null, "metadata": { "slideType": "peer_benchmark", "slideTypeCanon": { "name": "Peer benchmark", "slug": "peer_benchmark", "status": "active", "canonId": "019de52d-08f0-7158-a78d-d7b5331fefaf", "version": 1, "description": null }, "function": "compare_peers", "functionCanon": { "name": "Compare peers", "slug": "compare_peers", "status": "active", "canonId": "019de52d-1453-72ba-a367-9ba3d34c1630", "version": 1, "description": null }, "density": "balanced", "densityScore": 29, "componentCount": 4, "textChars": 318, "nDataPoints": 16, "notes": "KPCB Internet Trends 2016 slide 94.", "elementsJson": [ "headline_text", "line_chart", "footnote" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:41.19+00", "seconds": 2.132, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/95", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-95", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.6, "w": 0.7, "x": 0.15, "y": 0.18 }, "kind": "chart", "text": "OfferUp vs. eBay GMV Growth, First 8 Years Since Inception", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Line chart", "slug": "line", "status": "active", "canonId": "019de52c-ff62-778f-8f6c-a952ceae8677", "version": 1, "description": null }, "framework": null }, "subkind": "line", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:41.19+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "19ff9155-445d-4946-bd3b-70183a5d0036", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "GMV", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:10+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f28-9cf3203e1a5a", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.4, "x": 0.1, "y": 0.92 }, "kind": "source-note", "text": "Source: OfferUp, company filings, and KPCB estimates. Note: Shown on a calendar year basis and in nominal dollars. eBay was launched in 1995 and OfferUp in 2011.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:41.19+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "416a9684-4956-4f01-89a9-37c50cff57b9", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.9, "x": 0.05, "y": 0.05 }, "kind": "title", "text": "...Image-Based Peer-to-Peer (P2P) Marketplace OfferUp = Ramping Faster than eBay @ Same Stage...", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Action title", "slug": "action-title", "status": "active", "canonId": "019de52c-fb31-734c-a0f5-a3935b73135d", "version": 1, "description": null }, "framework": null }, "subkind": "action-title", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:41.19+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "410f5c37-ac08-4ce2-808f-a6c0b4d50a1c", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-f09a-721e-8ddf-dfd1501bae0a", "evidence": "OfferUp ramping faster than eBay at same stage.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 82, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 95, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." } ], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 97, "from": 91, "loop": { "name": "03_aha_moment", "slug": "03-aha-moment", "status": "active", "bestFor": "Data-heavy sections, research findings, analytical arguments", "canonId": "019dd956-66f4-7668-ab25-cec9c996c0bc", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Problem/Question -> What the Data Shows -> The Insight", "description": "Establish a tension, present data, then deliver the insight that changes everything", "familyLabel": null }, "matchId": "019de7d7-e1e5-72e2-bdd4-d377842d1c46", "evidence": "p91 photos shared exploding -> pp93-94 Pinterest/OfferUp shopping use -> pp95-97 Houzz monetization.", "position": 7, "objective": "From rising image-share data to insight that image platforms drive commerce", "confidence": 70, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 96, "type": "analysis", "title": "The chart highlights the launch of the Houzz Marketplace in 10/14 and the subsequent growth in products available.", "function": "quantify_impact", "rawType": "kpi_dashboard", "block": null, "metadata": { "slideType": "kpi_dashboard", "slideTypeCanon": { "name": "KPI dashboard", "slug": "kpi_dashboard", "status": "active", "canonId": "019de52d-0be5-7295-af4d-b850fe7b7e65", "version": 1, "description": null }, "function": "quantify_impact", "functionCanon": { "name": "Quantify impact", "slug": "quantify_impact", "status": "active", "canonId": "019de52d-1630-720d-b57d-fa7f76bebd8d", "version": 1, "description": null }, "density": "balanced", "densityScore": 49, "componentCount": 6, "textChars": 483, "nDataPoints": 4, "notes": "The chart highlights the launch of the Houzz Marketplace in 10/14 and the subsequent growth in products available.", "elementsJson": [ "line_chart" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:41.768+00", "seconds": 2.584, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/96", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-96", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "5.5M Products Available for Purchase on Houzz", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:10+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f28-b711e7acca58", "parentComponentId": null }, { "bbox": { "h": 0.6, "w": 0.8, "x": 0.1, "y": 0.25 }, "kind": "chart", "text": "Growth of Houzz metrics from 4/12 to 4/16", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Line chart", "slug": "line", "status": "active", "canonId": "019de52c-ff62-778f-8f6c-a952ceae8677", "version": 1, "description": null }, "framework": null }, "subkind": "line", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:41.768+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "2b792409-c8bd-4eeb-a0db-c293b7bc2f58", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.2, "x": 0.75, "y": 0.35 }, "kind": "legend", "text": "Consumers, Content (Photos), Commerce (All Products), Active Professionals", "attrs": null, "canon": { "kind": { "name": "Legend", "slug": "legend", "status": "active", "canonId": "31361933-3d22-4c70-bbad-0801e9fffc0c", "version": 1, "description": "Color/symbol decoder placed adjacent to a chart or diagram." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:41.768+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "d317cbdd-2dc9-4a83-ae3f-e4213a85fc1a", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "User/Product Growth: 40MM", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:10+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f28-ba2ebbcb1e63", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.5, "x": 0.05, "y": 0.95 }, "kind": "source-note", "text": "Source: Houzz. 5.5MM products are available on Houzz for purchase directly within the app and on Houzz.com (Houzz Marketplace). There are 13MM total products available on Houzz Marketplace + linked to merchant sites.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:41.768+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "daf02443-62c1-4a2c-bb1c-e7b3b8ba2907", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.9, "x": 0.05, "y": 0.05 }, "kind": "title", "text": "...Image-Based Platform Houzz = Content + Community + Commerce Continue to Ramp...", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:41.768+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "00d76a01-c739-4c61-924c-9e91bd161640", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 97, "from": 91, "loop": { "name": "03_aha_moment", "slug": "03-aha-moment", "status": "active", "bestFor": "Data-heavy sections, research findings, analytical arguments", "canonId": "019dd956-66f4-7668-ab25-cec9c996c0bc", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Problem/Question -> What the Data Shows -> The Insight", "description": "Establish a tension, present data, then deliver the insight that changes everything", "familyLabel": null }, "matchId": "019de7d7-e1e5-72e2-bdd4-d377842d1c46", "evidence": "p91 photos shared exploding -> pp93-94 Pinterest/OfferUp shopping use -> pp95-97 Houzz monetization.", "position": 7, "objective": "From rising image-share data to insight that image platforms drive commerce", "confidence": 70, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 97, "type": "evidence", "title": "Slide from KPCB Internet Trends 2016 report.", "function": "illustrate_case", "rawType": "case_study", "block": null, "metadata": { "slideType": "case_study", "slideTypeCanon": { "name": "Case study", "slug": "case_study", "status": "active", "canonId": "019de52d-0b95-7344-8090-926f3b8e92c8", "version": 1, "description": null }, "function": "illustrate_case", "functionCanon": { "name": "Illustrate case", "slug": "illustrate_case", "status": "active", "canonId": "019de52d-13b4-772c-bb73-1873612a7463", "version": 1, "description": null }, "density": "overcrowded", "densityScore": 75, "componentCount": 8, "textChars": 827, "nDataPoints": 8, "notes": "Slide from KPCB Internet Trends 2016 report.", "elementsJson": [ "headline_text", "bullet_list", "screenshot" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:42.187+00", "seconds": 2.666, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/97", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-97", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "Users = 97% More Likely to Use Houzz Next Time They Shop...5.5x More Likely to Purchase... Spend 3x More Time in App", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:10+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f28-cdfbda29dbc3", "parentComponentId": null }, { "bbox": { "h": 0.35, "w": 0.27, "x": 0.14, "y": 0.5 }, "kind": "image", "text": "Smartphone showing AR view", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Photo", "slug": "photo", "status": "active", "canonId": "019de52c-fd37-757f-b4a8-ca26d4888875", "version": 1, "description": null }, "framework": null }, "subkind": "photo", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:42.187+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "73f50fd1-1422-47af-8a24-776a517fae40", "parentComponentId": null }, { "bbox": { "h": 0.35, "w": 0.38, "x": 0.55, "y": 0.5 }, "kind": "image", "text": "Tablet showing Sketch tool", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Photo", "slug": "photo", "status": "active", "canonId": "019de52c-fd37-757f-b4a8-ca26d4888875", "version": 1, "description": null }, "framework": null }, "subkind": "photo", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:42.187+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "e3021e92-703b-406a-a36f-4f7d2cf3dda9", "parentComponentId": null }, { "bbox": { "h": 0.3, "w": 0.4, "x": 0.55, "y": 0.18 }, "kind": "list", "text": "Sketch (12/15): Add Products from Houzz Marketplace to Any Photo on Houzz or Your Own Sketch. Over 500K Sketches Saved Since Launch. Sketch Users = 5x More Likely to Purchase... Spend 4x More Time in App", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:42.187+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "6d61bfd9-7d9f-43b0-835d-ae00c86166ff", "parentComponentId": null }, { "bbox": { "h": 0.3, "w": 0.45, "x": 0.05, "y": 0.18 }, "kind": "list", "text": "View In My Room (2/16 Launch): Pick a Product & Preview What It Looks Like In Any Room Through Camera. 50% of Users Who Made a Purchase in Latest Version of Houzz App (Since 2/17/16) Used View In My Room. Users = 97% More Likely to Use Houzz Next Time They Shop...5.5x More Likely to Purchase... Spend 3x More Time in App", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:42.187+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "df06413b-8cd3-40da-b11d-c7cac7a36a60", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Purchase Conversion: 5x", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:10+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f28-d2981adc189c", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.1, "x": 0.05, "y": 0.95 }, "kind": "source-note", "text": "Source: Houzz", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:42.187+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "1a0eb705-baa7-4fa7-ad2f-45c26c6f63d0", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.9, "x": 0.05, "y": 0.05 }, "kind": "title", "text": "...Houzz Personalized Planning with Images = 3-4x Higher Engagement...5x Higher Purchase Conversion", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Action title", "slug": "action-title", "status": "active", "canonId": "019de52c-fb31-734c-a0f5-a3935b73135d", "version": 1, "description": null }, "framework": null }, "subkind": "action-title", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:42.187+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "b6df337b-cc13-4c36-9154-8feab083e817", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 97, "from": 91, "loop": { "name": "03_aha_moment", "slug": "03-aha-moment", "status": "active", "bestFor": "Data-heavy sections, research findings, analytical arguments", "canonId": "019dd956-66f4-7668-ab25-cec9c996c0bc", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Problem/Question -> What the Data Shows -> The Insight", "description": "Establish a tension, present data, then deliver the insight that changes everything", "familyLabel": null }, "matchId": "019de7d7-e1e5-72e2-bdd4-d377842d1c46", "evidence": "p91 photos shared exploding -> pp93-94 Pinterest/OfferUp shopping use -> pp95-97 Houzz monetization.", "position": 7, "objective": "From rising image-share data to insight that image platforms drive commerce", "confidence": 70, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 98, "type": "setup", "function": "transition", "rawType": "transition", "block": null, "metadata": { "slideType": "transition", "slideTypeCanon": { "name": "Transition", "slug": "transition", "status": "active", "canonId": "019de52d-0693-7766-9f05-887f41f8e41e", "version": 1, "description": null }, "function": "transition", "functionCanon": { "name": "Transition", "slug": "transition", "status": "active", "canonId": "019de52d-1365-7149-92aa-66df859e75fd", "version": 1, "description": null }, "density": "sparse", "densityScore": 1, "componentCount": 1, "textChars": 28, "nDataPoints": 0, "notes": null, "elementsJson": [ "headline_text" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:43.447+00", "seconds": 3.906, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/98", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-98", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.2, "w": 0.46, "x": 0.27, "y": 0.35 }, "kind": "title", "text": "Messaging = Evolving Rapidly", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:43.447+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "8df21b95-97d1-4898-8c57-7a93efa420c8", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [], "locked": true }, { "page": 99, "type": "setup", "function": "summarize", "rawType": "thesis_headline", "block": null, "metadata": { "slideType": "thesis_headline", "slideTypeCanon": { "name": "Thesis headline", "slug": "thesis_headline", "status": "active", "canonId": "019de52d-073a-70cb-b9f6-772a597bb5af", "version": 1, "description": null }, "function": "summarize", "functionCanon": { "name": "Summarize", "slug": "summarize", "status": "active", "canonId": "019de52d-1541-704f-b86f-bf7b75056373", "version": 1, "description": null }, "density": "sparse", "densityScore": 2, "componentCount": 1, "textChars": 46, "nDataPoints": 0, "notes": null, "elementsJson": [ "headline_text" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:42.547+00", "seconds": 2.918, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/99", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-99", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.2, "w": 0.7, "x": 0.15, "y": 0.35 }, "kind": "title", "text": "Messaging Leaders = Strong User (+ Use) Growth", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:42.547+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "7adb82a1-584c-44e9-a0a4-b507baabef15", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 111, "from": 99, "loop": { "name": "21_before_after", "slug": "21-before-after", "status": "active", "bestFor": "Product demos, process improvements, ROI justification", "canonId": "019dd956-6e68-73fd-a295-fe90145c2da8", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Old Way (Pain) -> The Moment of Change -> The New Way (Glory) -> The Measurable Delta", "description": "Show the dramatic contrast between the old way and the new way through side-by-side comparison", "familyLabel": null }, "matchId": "019de7d7-e20e-7730-839d-468e03deb0a9", "evidence": "p101 'simple -> expressive', p103 'social -> business', tables on Asia super-apps (104,106), home-screen replacement (111).", "position": 8, "objective": "Show messaging evolving from simple chat (before) to expressive, business-grade super-apps (after)", "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 100, "type": "analysis", "title": "The chart highlights the rapid adoption of messaging apps compared to traditional social networks.", "function": "analyze_data", "rawType": "industry_trends", "block": null, "metadata": { "slideType": "industry_trends", "slideTypeCanon": { "name": "Industry trends", "slug": "industry_trends", "status": "active", "canonId": "019de52d-0b1d-7705-a0e0-c663199cd1fa", "version": 1, "description": null }, "function": "analyze_data", "functionCanon": { "name": "Analyze data", "slug": "analyze_data", "status": "active", "canonId": "019de52d-1590-7413-8c82-cc218cff40b4", "version": 1, "description": null }, "density": "balanced", "densityScore": 46, "componentCount": 5, "textChars": 546, "nDataPoints": 18, "notes": "The chart highlights the rapid adoption of messaging apps compared to traditional social networks.", "elementsJson": [ "headline_text", "line_chart", "footnote" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:45.326+00", "seconds": 5.613, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/100", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-100", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.6, "w": 0.8, "x": 0.1, "y": 0.25 }, "kind": "chart", "text": "Line chart showing MAU growth for WhatsApp, Facebook Messenger, WeChat, Instagram, Twitter, and LinkedIn.", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Line chart", "slug": "line", "status": "active", "canonId": "019de52c-ff62-778f-8f6c-a952ceae8677", "version": 1, "description": null }, "framework": null }, "subkind": "line", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:45.326+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "e2fe0e8b-33b9-4c3b-87da-655dffd33b23", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Monthly Active Users (MM): 1,000", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:12+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f29-8f31e1c57b52", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.6, "x": 0.05, "y": 0.95 }, "kind": "source-note", "text": "Source: Facebook, WhatsApp, Tencent, Instagram, Twitter, LinkedIn, Morgan Stanley Research. Note: 2013 data for Instagram and Facebook Messenger are approximated from statements made in early 2014. Twitter users excludes SMS fast followers.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:45.326+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "dbe56cae-caa6-4abd-ab26-36795547615d", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.8, "x": 0.05, "y": 0.05 }, "kind": "title", "text": "Messaging Continues to Grow Rapidly... Leaders = WhatsApp / Facebook Messenger / WeChat", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:45.326+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "8ccbf119-183e-4e15-b3f7-7d6513ed0fa1", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.7, "x": 0.15, "y": 0.15 }, "kind": "title", "text": "Monthly Active Users on Select Social Networks and Messengers, Global, 2011 – 2015", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Subtitle", "slug": "subtitle", "status": "active", "canonId": "019de52c-fb09-739d-900c-815b0d9ac526", "version": 1, "description": null }, "framework": null }, "subkind": "subtitle", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:45.326+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "ea6f9029-046c-40ab-899c-1f7406f7f85a", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-f0ba-701e-bbb9-6f053280f1c2", "evidence": "Title names WhatsApp/Messenger/WeChat as leaders.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 85, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 100, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." }, { "tool": { "name": "Chartjunk Elimination", "slug": "chartjunk-elimination", "status": "active", "bestFor": null, "canonId": "019dd956-b49e-7453-ab01-b60f338eeda1", "version": 1, "bodyDocId": null, "description": "Remove decorative elements that don't convey data: 3D effects, shadows, unnecessary gridlines", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "ce191611-4472-4a5b-96f2-164f2ff86076", "evidence": "Line chart showing MAU growth for WhatsApp, Facebook Messenger, WeChat, Instagram, Twitter, and LinkedIn.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:00:24.927881+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 100, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Chart Selection Guide", "slug": "chart-selection-guide", "status": "active", "bestFor": null, "canonId": "019dd956-b1a0-700b-ba17-0e16c4d5bcae", "version": 1, "bodyDocId": null, "description": "Choosing the right chart type for your data and message", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "019de7d7-f126-7291-87d2-343d910bcb28", "evidence": "Multi-series line with launch-year context.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 75, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 100, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 111, "from": 99, "loop": { "name": "21_before_after", "slug": "21-before-after", "status": "active", "bestFor": "Product demos, process improvements, ROI justification", "canonId": "019dd956-6e68-73fd-a295-fe90145c2da8", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Old Way (Pain) -> The Moment of Change -> The New Way (Glory) -> The Measurable Delta", "description": "Show the dramatic contrast between the old way and the new way through side-by-side comparison", "familyLabel": null }, "matchId": "019de7d7-e20e-7730-839d-468e03deb0a9", "evidence": "p101 'simple -> expressive', p103 'social -> business', tables on Asia super-apps (104,106), home-screen replacement (111).", "position": 8, "objective": "Show messaging evolving from simple chat (before) to expressive, business-grade super-apps (after)", "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 101, "type": "setup", "function": "summarize", "rawType": "thesis_headline", "block": null, "metadata": { "slideType": "thesis_headline", "slideTypeCanon": { "name": "Thesis headline", "slug": "thesis_headline", "status": "active", "canonId": "019de52d-073a-70cb-b9f6-772a597bb5af", "version": 1, "description": null }, "function": "summarize", "functionCanon": { "name": "Summarize", "slug": "summarize", "status": "active", "canonId": "019de52d-1541-704f-b86f-bf7b75056373", "version": 1, "description": null }, "density": "sparse", "densityScore": 8, "componentCount": 2, "textChars": 178, "nDataPoints": 0, "notes": null, "elementsJson": [ "headline_text" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:42.327+00", "seconds": 2.605, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/101", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-101", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "Messaging = Evolving from Simple Social Conversations to More Expressive Communication...", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:16+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f2a-8d429661aea5", "parentComponentId": null }, { "bbox": { "h": 0.5, "w": 0.7, "x": 0.15, "y": 0.25 }, "kind": "title", "text": "Messaging = Evolving from Simple Social Conversations to More Expressive Communication...", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:42.327+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "0a9be861-0154-4360-af83-f0413d4bbb8c", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 111, "from": 99, "loop": { "name": "21_before_after", "slug": "21-before-after", "status": "active", "bestFor": "Product demos, process improvements, ROI justification", "canonId": "019dd956-6e68-73fd-a295-fe90145c2da8", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Old Way (Pain) -> The Moment of Change -> The New Way (Glory) -> The Measurable Delta", "description": "Show the dramatic contrast between the old way and the new way through side-by-side comparison", "familyLabel": null }, "matchId": "019de7d7-e20e-7730-839d-468e03deb0a9", "evidence": "p101 'simple -> expressive', p103 'social -> business', tables on Asia super-apps (104,106), home-screen replacement (111).", "position": 8, "objective": "Show messaging evolving from simple chat (before) to expressive, business-grade super-apps (after)", "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 102, "type": "analysis", "title": "The slide uses a grid layout to present a chronological progression of messaging features.", "function": "summarize", "rawType": "industry_trends", "block": null, "metadata": { "slideType": "industry_trends", "slideTypeCanon": { "name": "Industry trends", "slug": "industry_trends", "status": "active", "canonId": "019de52d-0b1d-7705-a0e0-c663199cd1fa", "version": 1, "description": null }, "function": "summarize", "functionCanon": { "name": "Summarize", "slug": "summarize", "status": "active", "canonId": "019de52d-1541-704f-b86f-bf7b75056373", "version": 1, "description": null }, "density": "sparse", "densityScore": 19, "componentCount": 4, "textChars": 252, "nDataPoints": 0, "notes": "The slide uses a grid layout to present a chronological progression of messaging features.", "elementsJson": [ "headline_text", "icon_grid", "photo" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:43.491+00", "seconds": 3.582, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/102", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-102", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.6, "w": 0.9, "x": 0.05, "y": 0.25 }, "kind": "diagram", "text": "Grid of 8 messaging evolution milestones from 1990s to 2015", "attrs": null, "canon": { "kind": { "name": "Diagram", "slug": "diagram", "status": "active", "canonId": "019de52c-f9f0-734a-81de-15382ff28c65", "version": 1, "description": "Schematic or relational diagram." }, "tool": null, "subkind": { "name": "Timeline", "slug": "timeline", "status": "active", "canonId": "019de52d-03c5-73fc-84aa-4180cbf0f5cf", "version": 1, "description": null }, "framework": null }, "subkind": "timeline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:43.491+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "1b1d1199-0a50-463e-bcbe-606fae6a5df1", "parentComponentId": null }, { "bbox": { "h": 0.02, "w": 0.2, "x": 0.1, "y": 0.95 }, "kind": "source-note", "text": "Source: Wired, Company Statements, Press Releases.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:43.491+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "0b0e01de-2783-4ced-ad7d-b36f796521b6", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.6, "x": 0.05, "y": 0.05 }, "kind": "title", "text": "Messaging Platform Evolution = More Tools for Simple Self-Expression", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:43.491+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "1cf066ef-5843-40d3-9569-06fa34b4fab8", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.5, "x": 0.25, "y": 0.15 }, "kind": "title", "text": "Global Electronic Messaging Platforms – Evolution of Simple Self-Expression", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Subtitle", "slug": "subtitle", "status": "active", "canonId": "019de52c-fb09-739d-900c-815b0d9ac526", "version": 1, "description": null }, "framework": null }, "subkind": "subtitle", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:43.491+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "b296e2dd-4453-44f9-89b1-d225c9b97f88", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [ { "matchId": "0d072532-1678-400e-b643-ee2f7c9313cd", "evidence": "Chronological progression of messaging features from 1990s to 2015", "framework": null, "confidence": 0.9, "extraction": { "at": "2026-05-02 17:38:43.491+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 102, "frameworkName": "timeline" } ], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 111, "from": 99, "loop": { "name": "21_before_after", "slug": "21-before-after", "status": "active", "bestFor": "Product demos, process improvements, ROI justification", "canonId": "019dd956-6e68-73fd-a295-fe90145c2da8", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Old Way (Pain) -> The Moment of Change -> The New Way (Glory) -> The Measurable Delta", "description": "Show the dramatic contrast between the old way and the new way through side-by-side comparison", "familyLabel": null }, "matchId": "019de7d7-e20e-7730-839d-468e03deb0a9", "evidence": "p101 'simple -> expressive', p103 'social -> business', tables on Asia super-apps (104,106), home-screen replacement (111).", "position": 8, "objective": "Show messaging evolving from simple chat (before) to expressive, business-grade super-apps (after)", "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 103, "type": "setup", "function": "summarize", "rawType": "thesis_headline", "block": null, "metadata": { "slideType": "thesis_headline", "slideTypeCanon": { "name": "Thesis headline", "slug": "thesis_headline", "status": "active", "canonId": "019de52d-073a-70cb-b9f6-772a597bb5af", "version": 1, "description": null }, "function": "summarize", "functionCanon": { "name": "Summarize", "slug": "summarize", "status": "active", "canonId": "019de52d-1541-704f-b86f-bf7b75056373", "version": 1, "description": null }, "density": "sparse", "densityScore": 3, "componentCount": 1, "textChars": 90, "nDataPoints": 0, "notes": null, "elementsJson": [ "headline_text" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:52.822+00", "seconds": 12.885, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/103", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-103", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.5, "w": 0.8, "x": 0.1, "y": 0.25 }, "kind": "title", "text": "...Messaging = Evolving from Simple Social Conversations to Business-Related Conversations", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:52.822+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "228f3d7f-d5ab-438c-8d6a-e6b029eba773", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 111, "from": 99, "loop": { "name": "21_before_after", "slug": "21-before-after", "status": "active", "bestFor": "Product demos, process improvements, ROI justification", "canonId": "019dd956-6e68-73fd-a295-fe90145c2da8", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Old Way (Pain) -> The Moment of Change -> The New Way (Glory) -> The Measurable Delta", "description": "Show the dramatic contrast between the old way and the new way through side-by-side comparison", "familyLabel": null }, "matchId": "019de7d7-e20e-7730-839d-468e03deb0a9", "evidence": "p101 'simple -> expressive', p103 'social -> business', tables on Asia super-apps (104,106), home-screen replacement (111).", "position": 8, "objective": "Show messaging evolving from simple chat (before) to expressive, business-grade super-apps (after)", "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 104, "type": "setup", "title": "The table uses checkmarks and specific dates to indicate the rollout of various features across three major Asian messaging platforms.", "function": "compare_options", "rawType": "comparison_table", "block": null, "metadata": { "slideType": "comparison_table", "slideTypeCanon": { "name": "Comparison table", "slug": "comparison_table", "status": "active", "canonId": "019de52d-0a06-73f8-8813-fe022fab1de2", "version": 1, "description": null }, "function": "compare_options", "functionCanon": { "name": "Compare options", "slug": "compare_options", "status": "active", "canonId": "019de52d-167f-7038-aebc-70a9d2e0e33b", "version": 1, "description": null }, "density": "dense", "densityScore": 50, "componentCount": 5, "textChars": 641, "nDataPoints": 45, "notes": "The table uses checkmarks and specific dates to indicate the rollout of various features across three major Asian messaging platforms.", "elementsJson": [ "headline_text", "comparison_table", "callout_box", "icon_grid", "footnote" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:42.623+00", "seconds": 2.479, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/104", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-104", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.06, "w": 0.15, "x": 0.05, "y": 0.37 }, "kind": "callout", "text": "New Services Added 2015 -16*", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": null, "subkind": { "name": "Primary callout", "slug": "primary", "status": "active", "canonId": "019de52c-fbd1-70eb-a9ce-8997f8674c1d", "version": 1, "description": null }, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:42.623+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "0bd2e359-94a1-443c-a797-34c92d28b9ae", "parentComponentId": null }, { "bbox": { "h": 0.06, "w": 0.15, "x": 0.05, "y": 0.62 }, "kind": "callout", "text": "Previous Existing Services", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": null, "subkind": { "name": "Primary callout", "slug": "primary", "status": "active", "canonId": "019de52c-fbd1-70eb-a9ce-8997f8674c1d", "version": 1, "description": null }, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:42.623+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "981efd19-cb9f-4de8-89ab-dc568ad66d8b", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.8, "x": 0.1, "y": 0.94 }, "kind": "disclaimer", "text": "Source: Company websites, press releases, Morgan Stanley Research. *Blue shading denotes that at least one of the platforms listed has added new features since 2015. Some features for other platforms may have been added in prior years. Note: Enterprise denotes product made specifically for messaging or social networking within the enterprise, which is distinct from B2C messaging where businesses engage with current or potential customers.", "attrs": null, "canon": { "kind": { "name": "Disclaimer", "slug": "disclaimer", "status": "active", "canonId": "91173477-d91f-4024-bbaf-d4f93e3f82dc", "version": 1, "description": "Legal/cautionary text that occupies most of the body of its slide." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:42.623+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "a3a874d4-1d3a-477e-b1cc-9dd05470de32", "parentComponentId": null }, { "bbox": { "h": 0.75, "w": 0.75, "x": 0.22, "y": 0.18 }, "kind": "table", "text": "Comparison table of KakaoTalk, WeChat, and LINE features", "attrs": null, "canon": { "kind": { "name": "Table", "slug": "table", "status": "active", "canonId": "019de52c-f9c8-7148-8119-eaac9594cd28", "version": 1, "description": "Tabular data layout." }, "tool": null, "subkind": { "name": "Data table", "slug": "data", "status": "active", "canonId": "019de52d-02d5-75b8-8abf-88e92bf63569", "version": 1, "description": null }, "framework": null }, "subkind": "data", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:42.623+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "15190a86-6166-40d2-9c69-1721e5060394", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.95, "x": 0.02, "y": 0.02 }, "kind": "title", "text": "Asia-Based Messaging Leaders = Continue to Expand Uses / Services Beyond Social Messaging", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:42.623+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "07a5c0f2-66ca-4b91-868b-c720a21f3fce", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Color Strategy", "slug": "color-strategy", "status": "active", "bestFor": null, "canonId": "019dd956-b202-77cf-8a6e-f445b08c0fd3", "version": 1, "bodyDocId": null, "description": "Using color for emphasis, categories, sentiment, and hierarchy", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "019de7d7-f146-72cd-8214-d90feb30e743", "evidence": "Blue shading marks 2015-16 additions.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 104, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Comparison frame", "slug": "comparison-frame", "status": "active", "bestFor": null, "canonId": "019dd9e1-484b-7399-a4fc-d14644b99f93", "version": 1, "bodyDocId": null, "description": "Two or more states/subjects placed side by side to expose a gap.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "9d32db0e-b12e-421d-8166-12db722f89a2", "evidence": "Comparison table of KakaoTalk, WeChat, and LINE features", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:00:25.136571+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 104, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 111, "from": 99, "loop": { "name": "21_before_after", "slug": "21-before-after", "status": "active", "bestFor": "Product demos, process improvements, ROI justification", "canonId": "019dd956-6e68-73fd-a295-fe90145c2da8", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Old Way (Pain) -> The Moment of Change -> The New Way (Glory) -> The Measurable Delta", "description": "Show the dramatic contrast between the old way and the new way through side-by-side comparison", "familyLabel": null }, "matchId": "019de7d7-e20e-7730-839d-468e03deb0a9", "evidence": "p101 'simple -> expressive', p103 'social -> business', tables on Asia super-apps (104,106), home-screen replacement (111).", "position": 8, "objective": "Show messaging evolving from simple chat (before) to expressive, business-grade super-apps (after)", "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 105, "type": "evidence", "title": "The slide uses screenshots of chat interfaces to demonstrate the 'magic of the thread' concept.", "function": "illustrate_case", "rawType": "client_example", "block": null, "metadata": { "slideType": "client_example", "slideTypeCanon": { "name": "Client example", "slug": "client_example", "status": "active", "canonId": "019de52d-0c87-77cb-9867-613ae22e95ac", "version": 1, "description": null }, "function": "illustrate_case", "functionCanon": { "name": "Illustrate case", "slug": "illustrate_case", "status": "active", "canonId": "019de52d-13b4-772c-bb73-1873612a7463", "version": 1, "description": null }, "density": "dense", "densityScore": 65, "componentCount": 7, "textChars": 735, "nDataPoints": 4, "notes": "The slide uses screenshots of chat interfaces to demonstrate the 'magic of the thread' concept.", "elementsJson": [ "headline_text", "screenshot", "paragraph" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:43.429+00", "seconds": 3.137, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/105", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-105", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.5, "w": 0.25, "x": 0.6, "y": 0.25 }, "kind": "image", "text": "Rogers Communications chat interface", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Screenshot", "slug": "screenshot", "status": "active", "canonId": "019de52c-fd87-7509-8391-3d79fb339379", "version": 1, "description": null }, "framework": null }, "subkind": "screenshot", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:43.429+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "d2f4521d-b485-43e8-95ff-844c2843e249", "parentComponentId": null }, { "bbox": { "h": 0.5, "w": 0.25, "x": 0.15, "y": 0.25 }, "kind": "image", "text": "Hyatt chat interface", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Screenshot", "slug": "screenshot", "status": "active", "canonId": "019de52c-fd87-7509-8391-3d79fb339379", "version": 1, "description": null }, "framework": null }, "subkind": "screenshot", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:43.429+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "d4cb5cc8-4f14-47d6-9834-103cdb44b4d9", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.35, "x": 0.55, "y": 0.75 }, "kind": "list", "text": "Started Offering Customer Service on Facebook Messenger in 12/15\n65% Increase in Customer Satisfaction\n65% Decrease in Customer Complaints", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:43.429+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "117f8f2f-d43b-4e82-b48f-0e3dd755a74f", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.35, "x": 0.1, "y": 0.75 }, "kind": "list", "text": "Started Offering Customer Service on Facebook Messenger in 11/15\n+20x Increase in Messages Received by Hyatt Within ~1 Month", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:43.429+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "99e15b39-d908-4641-a77c-59c35542e226", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Customer Satisfaction: 65%", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:11+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f28-eaf1b5bd7518", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.8, "x": 0.1, "y": 0.94 }, "kind": "source-note", "text": "Source: 'Digital Transformation for Telecom Operators,' by Deloitte, 2016. Wired. The Commissioner for Complaints for Telecommunications Services (CCTS) reported a 65 per cent decrease in customer complaints between 8/15 and 1/16 compared to the previous six months", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:43.429+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "d7306411-b386-4fe2-a098-a62f983e744b", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.9, "x": 0.05, "y": 0.05 }, "kind": "title", "text": "Messaging Secret Sauce = Magic of the Thread = Conversational... Remembers Identity / Time / Specifics / Preferences / Context", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:43.429+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "310d1236-988e-49c9-9ea7-5c59ebfb0fa3", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Audience Definition", "slug": "audience-definition", "status": "active", "bestFor": null, "canonId": "019dd956-7f2a-775d-aeee-ff099bcb7756", "version": 1, "bodyDocId": null, "description": "Six key questions: Who are they? What do they know? What do they believe? What do they care about? What do they fear? What decisions can they make?", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "154eb43d-84bc-4e75-905b-1c39d2e7a61e", "evidence": "Started Offering Customer Service on Facebook Messenger in 12/15", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 0.6, "extraction": { "at": "2026-07-16 22:00:25.217209+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 105, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 111, "from": 99, "loop": { "name": "21_before_after", "slug": "21-before-after", "status": "active", "bestFor": "Product demos, process improvements, ROI justification", "canonId": "019dd956-6e68-73fd-a295-fe90145c2da8", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Old Way (Pain) -> The Moment of Change -> The New Way (Glory) -> The Measurable Delta", "description": "Show the dramatic contrast between the old way and the new way through side-by-side comparison", "familyLabel": null }, "matchId": "019de7d7-e20e-7730-839d-468e03deb0a9", "evidence": "p101 'simple -> expressive', p103 'social -> business', tables on Asia super-apps (104,106), home-screen replacement (111).", "position": 8, "objective": "Show messaging evolving from simple chat (before) to expressive, business-grade super-apps (after)", "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 106, "type": "setup", "title": "The slide compares three major messaging platforms across six functional categories: Business/Official Accounts, Engagement, Payments, B2C Chat for SMEs, Advert", "function": "compare_peers", "rawType": "comparison_table", "block": null, "metadata": { "slideType": "comparison_table", "slideTypeCanon": { "name": "Comparison table", "slug": "comparison_table", "status": "active", "canonId": "019de52d-0a06-73f8-8813-fe022fab1de2", "version": 1, "description": null }, "function": "compare_peers", "functionCanon": { "name": "Compare peers", "slug": "compare_peers", "status": "active", "canonId": "019de52d-1453-72ba-a367-9ba3d34c1630", "version": 1, "description": null }, "density": "balanced", "densityScore": 29, "componentCount": 4, "textChars": 328, "nDataPoints": 12, "notes": "The slide compares three major messaging platforms across six functional categories: Business/Official Accounts, Engagement, Payments, B2C Chat for SMEs, Advertising, and Partnerships.", "elementsJson": [ "headline_text", "comparison_table", "logo_grid" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:43.643+00", "seconds": 3.316, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/106", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-106", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": null, "kind": "metric", "text": "Business Accounts: 50MM+", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:12+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f29-e1a795e6fd3e", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.4, "x": 0.1, "y": 0.95 }, "kind": "source-note", "text": "Source: WeChat, Line, Facebook Messenger, various press releases, \"WeChat's Impact: A Report on WeChat Platform Data,\" by Grata (2/15)", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:43.643+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "3fc8c3c6-d83c-4d44-a4c5-12b4fcf6903c", "parentComponentId": null }, { "bbox": { "h": 0.7, "w": 0.9, "x": 0.05, "y": 0.2 }, "kind": "table", "text": "Comparison matrix of WeChat, Facebook, and LINE features and metrics.", "attrs": null, "canon": { "kind": { "name": "Table", "slug": "table", "status": "active", "canonId": "019de52c-f9c8-7148-8119-eaac9594cd28", "version": 1, "description": "Tabular data layout." }, "tool": null, "subkind": { "name": "Data table", "slug": "data", "status": "active", "canonId": "019de52d-02d5-75b8-8abf-88e92bf63569", "version": 1, "description": null }, "framework": null }, "subkind": "data", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:43.643+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "fc4da001-4d91-46dc-b978-a3f8ea863adb", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.9, "x": 0.05, "y": 0.05 }, "kind": "title", "text": "Messaging Platforms = Millions of Business Accounts Helping Facilitate Customer Service & Commerce...", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:43.643+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "c5705abe-9ea7-42e9-b019-86690842a43c", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 111, "from": 99, "loop": { "name": "21_before_after", "slug": "21-before-after", "status": "active", "bestFor": "Product demos, process improvements, ROI justification", "canonId": "019dd956-6e68-73fd-a295-fe90145c2da8", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Old Way (Pain) -> The Moment of Change -> The New Way (Glory) -> The Measurable Delta", "description": "Show the dramatic contrast between the old way and the new way through side-by-side comparison", "familyLabel": null }, "matchId": "019de7d7-e20e-7730-839d-468e03deb0a9", "evidence": "p101 'simple -> expressive', p103 'social -> business', tables on Asia super-apps (104,106), home-screen replacement (111).", "position": 8, "objective": "Show messaging evolving from simple chat (before) to expressive, business-grade super-apps (after)", "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 107, "type": "evidence", "title": "The slide illustrates a specific regional behavior (conversational commerce) using a sequence of mobile screenshots.", "function": "illustrate_case", "rawType": "customer_journey", "block": null, "metadata": { "slideType": "customer_journey", "slideTypeCanon": { "name": "Customer journey", "slug": "customer_journey", "status": "active", "canonId": "019de52d-0966-70ce-afe3-bc7c98ffc8c9", "version": 1, "description": null }, "function": "illustrate_case", "functionCanon": { "name": "Illustrate case", "slug": "illustrate_case", "status": "active", "canonId": "019de52d-13b4-772c-bb73-1873612a7463", "version": 1, "description": null }, "density": "dense", "densityScore": 53, "componentCount": 7, "textChars": 511, "nDataPoints": 0, "notes": "The slide illustrates a specific regional behavior (conversational commerce) using a sequence of mobile screenshots.", "elementsJson": [ "headline_text", "screenshot", "paragraph" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:47.194+00", "seconds": 6.667, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/107", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-107", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "Browsing Begins on Instagram...Conversation / Payment / Confirmation Ends on Line", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:13+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f2a-24b0a43d9ad1", "parentComponentId": null }, { "bbox": { "h": 0.45, "w": 0.92, "x": 0.04, "y": 0.3 }, "kind": "image", "text": "Sequence of 6 mobile screenshots showing the shopping process", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Screenshot", "slug": "screenshot", "status": "active", "canonId": "019de52c-fd87-7509-8391-3d79fb339379", "version": 1, "description": null }, "framework": null }, "subkind": "screenshot", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:47.194+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "7e07cce6-bb28-4f2c-92b3-c02512e1584d", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.92, "x": 0.04, "y": 0.7 }, "kind": "list", "text": "Visit Instagram Shop; Browse Products; Inquire About Product via Line; Get Payment Details; Confirm Payment; Ship & Track Order", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Timeline item", "slug": "timeline-item", "status": "active", "canonId": "019de52c-fd0e-74ce-9443-440fbd8c23b4", "version": 1, "description": null }, "framework": null }, "subkind": "timeline-item", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:47.194+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "c6d49d7d-93ad-433b-a83b-432b4c8260a7", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.76, "x": 0.12, "y": 0.23 }, "kind": "paragraph", "text": "Browsing Begins on Instagram...Conversation / Payment / Confirmation Ends on Line", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:47.194+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "d2f7e89a-a079-4232-a9d4-a842d46029f3", "parentComponentId": null }, { "bbox": { "h": 0.02, "w": 0.35, "x": 0.02, "y": 0.95 }, "kind": "source-note", "text": "Source: Commerce + Mobile: Evolution of New Business Models in SEA, 7/15.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:47.194+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "0bd31ccb-2e4e-473f-8548-eec52dad7828", "parentComponentId": null }, { "bbox": { "h": 0.04, "w": 0.56, "x": 0.22, "y": 0.185 }, "kind": "title", "text": "Shopper in Thailand on Instagram", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Action title", "slug": "action-title", "status": "active", "canonId": "019de52c-fb31-734c-a0f5-a3935b73135d", "version": 1, "description": null }, "framework": null }, "subkind": "action-title", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:47.194+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "224fe530-16c1-4f37-9bab-590022b35920", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.55, "x": 0.02, "y": 0.02 }, "kind": "title", "text": "...Messaging Platforms = Conversational Commerce Ramping", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:47.194+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "c9d9732e-5a65-47c4-92fe-b580e558e03d", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Customer journey map", "slug": "customer-journey-map", "status": "active", "bestFor": null, "canonId": "019de52d-1b26-7499-98c8-1091acc836be", "version": 1, "bodyDocId": null, "description": null, "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "7f917961-d5ea-49d9-9513-dbbb60653439", "evidence": "Sequence of 6 mobile screenshots showing the shopping process", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.8, "extraction": { "at": "2026-07-16 22:00:25.33769+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 107, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [ { "matchId": "972c953a-aba4-47af-bf88-a66a8267edba", "evidence": "Visual sequence of steps a customer takes to complete a purchase.", "framework": null, "confidence": 1, "extraction": { "at": "2026-05-02 17:38:47.194+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 107, "frameworkName": "customer-journey-map" } ], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 111, "from": 99, "loop": { "name": "21_before_after", "slug": "21-before-after", "status": "active", "bestFor": "Product demos, process improvements, ROI justification", "canonId": "019dd956-6e68-73fd-a295-fe90145c2da8", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Old Way (Pain) -> The Moment of Change -> The New Way (Glory) -> The Measurable Delta", "description": "Show the dramatic contrast between the old way and the new way through side-by-side comparison", "familyLabel": null }, "matchId": "019de7d7-e20e-7730-839d-468e03deb0a9", "evidence": "p101 'simple -> expressive', p103 'social -> business', tables on Asia super-apps (104,106), home-screen replacement (111).", "position": 8, "objective": "Show messaging evolving from simple chat (before) to expressive, business-grade super-apps (after)", "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 108, "type": "analysis", "title": "Data source: Global Contact Center Benchmarking Report, Dimension Data, 2015.", "function": "analyze_data", "rawType": "data_table", "block": null, "metadata": { "slideType": "data_table", "slideTypeCanon": { "name": "Data table", "slug": "data_table", "status": "active", "canonId": "019de52d-0bbd-71b9-9918-417f904abbf8", "version": 1, "description": null }, "function": "analyze_data", "functionCanon": { "name": "Analyze data", "slug": "analyze_data", "status": "active", "canonId": "019de52d-1590-7413-8c82-cc218cff40b4", "version": 1, "description": null }, "density": "dense", "densityScore": 68, "componentCount": 7, "textChars": 740, "nDataPoints": 20, "notes": "Data source: Global Contact Center Benchmarking Report, Dimension Data, 2015.", "elementsJson": [ "headline_text", "data_table", "footnote" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:43.657+00", "seconds": 2.92, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/108", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-108", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "Best Ways for Businesses to Contact Millennials = Social Media & Chat... Worst Way = Telephone", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:12+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f29-59bc2f33a577", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Percentage of contact centers reporting channel popularity: 90%", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:12+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f29-5c271c765c7c", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.6, "x": 0.2, "y": 0.23 }, "kind": "paragraph", "text": "Which channels are most popular with your age-profiled customers? (% of contact centers)", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:43.657+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "b3c4c54d-5ad9-4f8a-96cb-a171f01fa5fe", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.55, "x": 0.1, "y": 0.94 }, "kind": "source-note", "text": "Source: \"Global Contact Center Benchmarking Report,\" Dimension Data, 2015. N = 717 Contact Centers, Global. Results are shown based on contact centers that actually tracked channel popularity. Percentage may not add up to 100 owing to rounding. Generation Y is typically referred to as \"Millennials\"", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:43.657+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "45e02f81-613f-4efc-b9e2-eabd149beb8e", "parentComponentId": null }, { "bbox": { "h": 0.55, "w": 0.74, "x": 0.13, "y": 0.31 }, "kind": "table", "text": "Table showing contact channel percentages by generation", "attrs": null, "canon": { "kind": { "name": "Table", "slug": "table", "status": "active", "canonId": "019de52c-f9c8-7148-8119-eaac9594cd28", "version": 1, "description": "Tabular data layout." }, "tool": null, "subkind": { "name": "Data table", "slug": "data", "status": "active", "canonId": "019de52d-02d5-75b8-8abf-88e92bf63569", "version": 1, "description": null }, "framework": null }, "subkind": "data", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:43.657+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "ccb8aa06-5c20-4900-a53c-457d22a51389", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.9, "x": 0.05, "y": 0.05 }, "kind": "title", "text": "Best Ways for Businesses to Contact Millennials = Social Media & Chat... Worst Way = Telephone", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Action title", "slug": "action-title", "status": "active", "canonId": "019de52c-fb31-734c-a0f5-a3935b73135d", "version": 1, "description": null }, "framework": null }, "subkind": "action-title", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:43.657+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "1edf2437-c61a-4ca7-ba46-ee0b470d6bd5", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.7, "x": 0.15, "y": 0.18 }, "kind": "title", "text": "Popularity of Business Contact Channels, by Age", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:43.657+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "762b24c4-5896-4135-8654-c0160eae159f", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Contrast Pairs", "slug": "contrast-pairs", "status": "active", "bestFor": null, "canonId": "019dd956-9b77-70d3-88b1-f34e26f60860", "version": 1, "bodyDocId": null, "description": "Creating tension through opposites: Before↔After, Problem↔Solution, Pain↔Relief", "familyLabel": null, "categoryName": "Loop", "categorySlug": "loop" }, "agent": "Storyteller", "layer": "loop", "agents": [ "Storyteller" ], "matchId": "019de7d7-f185-737a-8f8d-06739b1545c9", "evidence": "Best vs worst phrasing.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 108, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-f166-73df-9168-ffadcf4cf738", "evidence": "Best vs worst contact-channel for millennials.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 88, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 108, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." }, { "tool": { "name": "Data Story Arc", "slug": "data-story-arc", "status": "active", "bestFor": null, "canonId": "019dd956-9c30-728e-b974-d3fb123dcf5a", "version": 1, "bodyDocId": null, "description": "Context → Conflict → Insight → Implication structure for data narratives", "familyLabel": null, "categoryName": "Loop", "categorySlug": "loop" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "e7558b24-bf32-4b3d-a8af-f0c7e3b33115", "evidence": "Table showing contact channel percentages by generation", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 0.6, "extraction": { "at": "2026-07-16 22:00:25.420115+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 108, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Von Restorff Effect", "slug": "von-restorff-effect", "status": "active", "bestFor": null, "canonId": "019dd956-beab-73d8-9f62-30d0332e926e", "version": 1, "bodyDocId": null, "description": "Items that stand out are noticed and remembered - make key points visually distinct", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "019de7d7-f1ea-759c-8218-4fe39d4a2c14", "evidence": "Red borders highlight top channels.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 108, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 111, "from": 99, "loop": { "name": "21_before_after", "slug": "21-before-after", "status": "active", "bestFor": "Product demos, process improvements, ROI justification", "canonId": "019dd956-6e68-73fd-a295-fe90145c2da8", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Old Way (Pain) -> The Moment of Change -> The New Way (Glory) -> The Measurable Delta", "description": "Show the dramatic contrast between the old way and the new way through side-by-side comparison", "familyLabel": null }, "matchId": "019de7d7-e20e-7730-839d-468e03deb0a9", "evidence": "p101 'simple -> expressive', p103 'social -> business', tables on Asia super-apps (104,106), home-screen replacement (111).", "position": 8, "objective": "Show messaging evolving from simple chat (before) to expressive, business-grade super-apps (after)", "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 109, "type": "tension", "title": "This is a high-level conceptual slide from the KPCB Internet Trends 2016 report.", "function": "frame_problem", "rawType": "thesis_headline", "block": null, "metadata": { "slideType": "thesis_headline", "slideTypeCanon": { "name": "Thesis headline", "slug": "thesis_headline", "status": "active", "canonId": "019de52d-073a-70cb-b9f6-772a597bb5af", "version": 1, "description": null }, "function": "frame_problem", "functionCanon": { "name": "Frame problem", "slug": "frame_problem", "status": "active", "canonId": "019de52d-13db-753e-ad70-e9b2d0dab398", "version": 1, "description": null }, "density": "sparse", "densityScore": 6, "componentCount": 2, "textChars": 134, "nDataPoints": 0, "notes": "This is a high-level conceptual slide from the KPCB Internet Trends 2016 report.", "elementsJson": [ "headline_text" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:43.488+00", "seconds": 2.466, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/109", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-109", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.15, "w": 0.8, "x": 0.1, "y": 0.6 }, "kind": "title", "text": "Messaging Leaders = Want to Change That", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:43.488+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "c5b5907b-986b-42c5-82bc-3a110d481527", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.8, "x": 0.1, "y": 0.25 }, "kind": "title", "text": "Android / iOS Home Screens (Like Portals in Internet 1.0) = Mobile Power Alleys (~2008-2016)...", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:43.488+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "ea4138b2-200b-43d8-a86f-cfa55d0f0aa1", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [ { "matchId": "e0fba9e3-34d4-46dc-8523-365066977641", "evidence": "Compares mobile home screens to Internet 1.0 portals.", "framework": null, "confidence": 0.9, "extraction": { "at": "2026-05-02 17:38:43.488+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 109, "frameworkName": "metaphor-analogy" } ], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 111, "from": 99, "loop": { "name": "21_before_after", "slug": "21-before-after", "status": "active", "bestFor": "Product demos, process improvements, ROI justification", "canonId": "019dd956-6e68-73fd-a295-fe90145c2da8", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Old Way (Pain) -> The Moment of Change -> The New Way (Glory) -> The Measurable Delta", "description": "Show the dramatic contrast between the old way and the new way through side-by-side comparison", "familyLabel": null }, "matchId": "019de7d7-e20e-7730-839d-468e03deb0a9", "evidence": "p101 'simple -> expressive', p103 'social -> business', tables on Asia super-apps (104,106), home-screen replacement (111).", "position": 8, "objective": "Show messaging evolving from simple chat (before) to expressive, business-grade super-apps (after)", "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 110, "type": "analysis", "title": "Part of KPCB Internet Trends 2016 deck.", "function": "summarize", "rawType": "data_table", "block": null, "metadata": { "slideType": "data_table", "slideTypeCanon": { "name": "Data table", "slug": "data_table", "status": "active", "canonId": "019de52d-0bbd-71b9-9918-417f904abbf8", "version": 1, "description": null }, "function": "summarize", "functionCanon": { "name": "Summarize", "slug": "summarize", "status": "active", "canonId": "019de52d-1541-704f-b86f-bf7b75056373", "version": 1, "description": null }, "density": "balanced", "densityScore": 38, "componentCount": 5, "textChars": 381, "nDataPoints": 10, "notes": "Part of KPCB Internet Trends 2016 deck.", "elementsJson": [ "headline_text", "data_table" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:43.782+00", "seconds": 2.733, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/110", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-110", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": null, "kind": "metric", "text": "Apps used daily: 12", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:12+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f29-b145d78d4285", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.4, "x": 0.05, "y": 0.9 }, "kind": "source-note", "text": "Source: SimilarWeb, 5/16. *Apps installed does not include pre-installed apps. Most commonly used apps includes preloads.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:43.782+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "97beac99-6d47-4da3-98c2-9bdc069b89d3", "parentComponentId": null }, { "bbox": { "h": 0.5, "w": 0.9, "x": 0.05, "y": 0.3 }, "kind": "table", "text": "Table showing USA vs Worldwide metrics for apps installed, daily usage, usage concentration, time spent, and top apps.", "attrs": null, "canon": { "kind": { "name": "Table", "slug": "table", "status": "active", "canonId": "019de52c-f9c8-7148-8119-eaac9594cd28", "version": 1, "description": "Tabular data layout." }, "tool": null, "subkind": { "name": "Data table", "slug": "data", "status": "active", "canonId": "019de52d-02d5-75b8-8abf-88e92bf63569", "version": 1, "description": null }, "framework": null }, "subkind": "data", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:43.782+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "0a2ee721-6d00-41de-8372-0a3f67ff59e6", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.9, "x": 0.05, "y": 0.05 }, "kind": "title", "text": "Average Global Mobile User = ~33 Apps...12 Apps Used Daily... 80% of Time Spent in 3 Apps", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:43.782+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "b36d9f1c-b13c-460b-b7ed-6effe22bb503", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.4, "x": 0.3, "y": 0.2 }, "kind": "title", "text": "Day in Life of a Mobile User, 2016", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Subtitle", "slug": "subtitle", "status": "active", "canonId": "019de52c-fb09-739d-900c-815b0d9ac526", "version": 1, "description": null }, "framework": null }, "subkind": "subtitle", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:43.782+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "4d9799ad-05b4-4e83-8828-2834a44ce13c", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Data-Ink Ratio", "slug": "data-ink-ratio", "status": "active", "bestFor": null, "canonId": "019dd956-afc8-70da-b378-92834d36fde6", "version": 1, "bodyDocId": null, "description": "Maximize data, minimize non-data ink - remove chartjunk and decoration", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "04bede98-d8d9-4959-91de-0a33a355d1bb", "evidence": "Table showing USA vs Worldwide metrics for apps installed, daily usage, usage concentration, time spent, and top apps.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:00:25.544965+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 110, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 111, "from": 99, "loop": { "name": "21_before_after", "slug": "21-before-after", "status": "active", "bestFor": "Product demos, process improvements, ROI justification", "canonId": "019dd956-6e68-73fd-a295-fe90145c2da8", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Old Way (Pain) -> The Moment of Change -> The New Way (Glory) -> The Measurable Delta", "description": "Show the dramatic contrast between the old way and the new way through side-by-side comparison", "familyLabel": null }, "matchId": "019de7d7-e20e-7730-839d-468e03deb0a9", "evidence": "p101 'simple -> expressive', p103 'social -> business', tables on Asia super-apps (104,106), home-screen replacement (111).", "position": 8, "objective": "Show messaging evolving from simple chat (before) to expressive, business-grade super-apps (after)", "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 111, "type": "setup", "function": "compare_options", "rawType": "comparison_table", "block": null, "metadata": { "slideType": "comparison_table", "slideTypeCanon": { "name": "Comparison table", "slug": "comparison_table", "status": "active", "canonId": "019de52d-0a06-73f8-8813-fe022fab1de2", "version": 1, "description": null }, "function": "compare_options", "functionCanon": { "name": "Compare options", "slug": "compare_options", "status": "active", "canonId": "019de52d-167f-7038-aebc-70a9d2e0e33b", "version": 1, "description": null }, "density": "sparse", "densityScore": 20, "componentCount": 5, "textChars": 138, "nDataPoints": 0, "notes": null, "elementsJson": [ "headline_text", "screenshot" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:43.286+00", "seconds": 2.115, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/111", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-111", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.6, "w": 0.25, "x": 0.17, "y": 0.27 }, "kind": "image", "text": "iOS Home Screen", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Screenshot", "slug": "screenshot", "status": "active", "canonId": "019de52c-fd87-7509-8391-3d79fb339379", "version": 1, "description": null }, "framework": null }, "subkind": "screenshot", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:43.286+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "ef524dda-c8ad-41cd-873e-71e573701c24", "parentComponentId": null }, { "bbox": { "h": 0.6, "w": 0.25, "x": 0.58, "y": 0.27 }, "kind": "image", "text": "Facebook Messenger Inbox", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Screenshot", "slug": "screenshot", "status": "active", "canonId": "019de52c-fd87-7509-8391-3d79fb339379", "version": 1, "description": null }, "framework": null }, "subkind": "screenshot", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:43.286+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "fc36b47a-b554-4e65-a36a-a4489347a274", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.9, "x": 0.05, "y": 0.03 }, "kind": "title", "text": "Messaging Apps = Increasingly Becoming Second Home Screen...", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:43.286+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "f038b99b-ad6a-4a83-b55f-e1c2e8160286", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.2, "x": 0.6, "y": 0.17 }, "kind": "title", "text": "Facebook Messenger Inbox", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Subtitle", "slug": "subtitle", "status": "active", "canonId": "019de52c-fb09-739d-900c-815b0d9ac526", "version": 1, "description": null }, "framework": null }, "subkind": "subtitle", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:43.286+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "4424ce08-a938-46da-898d-736afbd63ff4", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.2, "x": 0.2, "y": 0.17 }, "kind": "title", "text": "iOS Home Screen", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Subtitle", "slug": "subtitle", "status": "active", "canonId": "019de52c-fb09-739d-900c-815b0d9ac526", "version": 1, "description": null }, "framework": null }, "subkind": "subtitle", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:43.286+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "86086ff8-62ff-4461-9282-209ba6637e5d", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Comparison frame", "slug": "comparison-frame", "status": "active", "bestFor": null, "canonId": "019dd9e1-484b-7399-a4fc-d14644b99f93", "version": 1, "bodyDocId": null, "description": "Two or more states/subjects placed side by side to expose a gap.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "92e7e60c-9706-44d5-92b4-95d5077dea7d", "evidence": "comparison_table components", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:00:29.996561+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 111, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 111, "from": 99, "loop": { "name": "21_before_after", "slug": "21-before-after", "status": "active", "bestFor": "Product demos, process improvements, ROI justification", "canonId": "019dd956-6e68-73fd-a295-fe90145c2da8", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Old Way (Pain) -> The Moment of Change -> The New Way (Glory) -> The Measurable Delta", "description": "Show the dramatic contrast between the old way and the new way through side-by-side comparison", "familyLabel": null }, "matchId": "019de7d7-e20e-7730-839d-468e03deb0a9", "evidence": "p101 'simple -> expressive', p103 'social -> business', tables on Asia super-apps (104,106), home-screen replacement (111).", "position": 8, "objective": "Show messaging evolving from simple chat (before) to expressive, business-grade super-apps (after)", "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 112, "type": "setup", "function": "transition", "rawType": "section_divider", "block": null, "metadata": { "slideType": "section_divider", "slideTypeCanon": { "name": "Section divider", "slug": "section_divider", "status": "active", "canonId": "019de52d-066a-7402-9554-6ae504999041", "version": 1, "description": null }, "function": "transition", "functionCanon": { "name": "Transition", "slug": "transition", "status": "active", "canonId": "019de52d-1365-7149-92aa-66df859e75fd", "version": 1, "description": null }, "density": "sparse", "densityScore": 2, "componentCount": 1, "textChars": 67, "nDataPoints": 0, "notes": null, "elementsJson": [ "headline_text" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:44.456+00", "seconds": 3.228, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/112", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-112", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.3, "w": 0.8, "x": 0.05, "y": 0.3 }, "kind": "title", "text": "RE-IMAGINING HUMAN / COMPUTER INTERFACES –\n– VOICE\n– TRANSPORTATION", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:44.456+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "f1c25a27-7799-4c6d-92ae-0071bb037e72", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Section divider", "slug": "section-divider", "status": "active", "bestFor": null, "canonId": "019dd9e1-4c66-707d-8d1f-6e14547134c7", "version": 1, "bodyDocId": null, "description": "A transitional slide marking the start of a new section.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "90fd210a-36a8-47e6-bae2-f096587ea594", "evidence": "section_divider type", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.9, "extraction": { "at": "2026-07-16 22:00:30.080548+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 112, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [], "locked": true }, { "page": 113, "type": "setup", "function": "transition", "rawType": "section_divider", "block": null, "metadata": { "slideType": "section_divider", "slideTypeCanon": { "name": "Section divider", "slug": "section_divider", "status": "active", "canonId": "019de52d-066a-7402-9554-6ae504999041", "version": 1, "description": null }, "function": "transition", "functionCanon": { "name": "Transition", "slug": "transition", "status": "active", "canonId": "019de52d-1365-7149-92aa-66df859e75fd", "version": 1, "description": null }, "density": "sparse", "densityScore": 2, "componentCount": 1, "textChars": 65, "nDataPoints": 0, "notes": null, "elementsJson": [ "headline_text" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:43.701+00", "seconds": 2.25, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/113", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-113", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.299, "w": 0.766, "x": 0.117, "y": 0.35 }, "kind": "title", "text": "Re-Imagining Voice = A New Paradigm in Human-Computer Interaction", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:43.701+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "5958fdee-352a-4dd1-be02-7218f3c2dfcc", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Section divider", "slug": "section-divider", "status": "active", "bestFor": null, "canonId": "019dd9e1-4c66-707d-8d1f-6e14547134c7", "version": 1, "bodyDocId": null, "description": "A transitional slide marking the start of a new section.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "0dfc3801-f023-417e-bcbe-a083cded00f8", "evidence": "section_divider type", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.9, "extraction": { "at": "2026-07-16 22:00:30.155636+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 113, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 134, "from": 113, "loop": { "name": "15_why_now", "slug": "15-why-now", "status": "active", "bestFor": "Sales pitches, fundraising, requesting immediate budget approval", "canonId": "019dd956-6c00-70cd-bd42-6bacc4af726f", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Context (Trends) -> The Trigger Event -> The Window of Opportunity", "description": "Create temporal urgency by proving that the window of opportunity is opening or closing", "familyLabel": null }, "matchId": "019de7d7-e22d-74be-b2d8-6f4dcc8e253a", "evidence": "p114-115 historical context, p116 'Why Now?' header, p118-120 99% accuracy threshold trigger, pp 122-134 adoption window.", "position": 9, "objective": "Argue voice as a new computing paradigm - context, accuracy trigger, opportunity window", "confidence": 82, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 114, "type": "setup", "function": "transition", "rawType": "transition", "block": null, "metadata": { "slideType": "transition", "slideTypeCanon": { "name": "Transition", "slug": "transition", "status": "active", "canonId": "019de52d-0693-7766-9f05-887f41f8e41e", "version": 1, "description": null }, "function": "transition", "functionCanon": { "name": "Transition", "slug": "transition", "status": "active", "canonId": "019de52d-1365-7149-92aa-66df859e75fd", "version": 1, "description": null }, "density": "sparse", "densityScore": 5, "componentCount": 2, "textChars": 108, "nDataPoints": 0, "notes": null, "elementsJson": [ "headline_text" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:44.074+00", "seconds": 2.505, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/114", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-114", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.15, "w": 0.64, "x": 0.18, "y": 0.65 }, "kind": "title", "text": "Innovations Every Decade Over Past 75 Years", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:44.074+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "4d61ef86-867f-4225-ad96-aad48da5a719", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.72, "x": 0.14, "y": 0.275 }, "kind": "title", "text": "Evolution of Basic Human-Computer Interaction Over ~2 Centuries =", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:44.074+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "d9ba9520-aae6-4a93-9d26-7d04272aed48", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 134, "from": 113, "loop": { "name": "15_why_now", "slug": "15-why-now", "status": "active", "bestFor": "Sales pitches, fundraising, requesting immediate budget approval", "canonId": "019dd956-6c00-70cd-bd42-6bacc4af726f", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Context (Trends) -> The Trigger Event -> The Window of Opportunity", "description": "Create temporal urgency by proving that the window of opportunity is opening or closing", "familyLabel": null }, "matchId": "019de7d7-e22d-74be-b2d8-6f4dcc8e253a", "evidence": "p114-115 historical context, p116 'Why Now?' header, p118-120 99% accuracy threshold trigger, pp 122-134 adoption window.", "position": 9, "objective": "Argue voice as a new computing paradigm - context, accuracy trigger, opportunity window", "confidence": 82, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 115, "type": "setup", "title": "The slide uses a grid-based layout to present a historical progression of interface technologies.", "function": "establish_context", "rawType": "timeline", "block": null, "metadata": { "slideType": "timeline", "slideTypeCanon": { "name": "Timeline", "slug": "timeline", "status": "active", "canonId": "019de52d-0851-75eb-b758-ea2965e7739a", "version": 1, "description": null }, "function": "establish_context", "functionCanon": { "name": "Establish context", "slug": "establish_context", "status": "active", "canonId": "019de52d-1314-74e6-9074-d213dc0bdcdf", "version": 1, "description": null }, "density": "balanced", "densityScore": 29, "componentCount": 4, "textChars": 311, "nDataPoints": 15, "notes": "The slide uses a grid-based layout to present a historical progression of interface technologies.", "elementsJson": [ "headline_text", "icon_grid" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:44.121+00", "seconds": 2.505, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/115", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-115", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.25, "w": 0.3, "x": 0.68, "y": 0.64 }, "kind": "callout", "text": "Voice on Mobile (Siri) 2011, Voice on Connected / Ambient Devices (Amazon Echo) 2014", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": null, "subkind": { "name": "Primary callout", "slug": "primary", "status": "active", "canonId": "019de52c-fbd1-70eb-a9ce-8997f8674c1d", "version": 1, "description": null }, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:44.121+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "e3da55f2-0334-45f7-becb-7e4371b41969", "parentComponentId": null }, { "bbox": { "h": 0.75, "w": 0.95, "x": 0.03, "y": 0.15 }, "kind": "image", "text": "Grid of 15 historical computing devices and interfaces", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Icon grid", "slug": "icon-grid", "status": "active", "canonId": "019de52c-fdfe-749d-9990-1db465a3eed4", "version": 1, "description": null }, "framework": null }, "subkind": "icon-grid", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:44.121+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "56de6fc0-003b-40e8-96a3-cf5d8fe1351c", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.3, "x": 0.1, "y": 0.94 }, "kind": "source-note", "text": "Source: University of Calgary, \"History of Computer Interfaces\" (Saul Greenberg)", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:44.121+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "672906d9-8124-47c9-9816-28ad927a2dac", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.8, "x": 0.02, "y": 0.02 }, "kind": "title", "text": "Human-Computer Interaction (1830s – 2015), USA = Touch 1.0 -> Touch 2.0 -> Touch 3.0 -> Voice", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:44.121+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "093025e0-2fb7-4b4f-8c8f-82956ee1324e", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [ { "matchId": "3f366cc6-56f6-4b22-ac2a-ebb355cab06d", "evidence": "Chronological progression of technology milestones", "framework": null, "confidence": 1, "extraction": { "at": "2026-05-02 17:38:44.121+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 115, "frameworkName": "timeline" } ], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 134, "from": 113, "loop": { "name": "15_why_now", "slug": "15-why-now", "status": "active", "bestFor": "Sales pitches, fundraising, requesting immediate budget approval", "canonId": "019dd956-6c00-70cd-bd42-6bacc4af726f", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Context (Trends) -> The Trigger Event -> The Window of Opportunity", "description": "Create temporal urgency by proving that the window of opportunity is opening or closing", "familyLabel": null }, "matchId": "019de7d7-e22d-74be-b2d8-6f4dcc8e253a", "evidence": "p114-115 historical context, p116 'Why Now?' header, p118-120 99% accuracy threshold trigger, pp 122-134 adoption window.", "position": 9, "objective": "Argue voice as a new computing paradigm - context, accuracy trigger, opportunity window", "confidence": 82, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 116, "type": "setup", "function": "transition", "rawType": "section_divider", "block": null, "metadata": { "slideType": "section_divider", "slideTypeCanon": { "name": "Section divider", "slug": "section_divider", "status": "active", "canonId": "019de52d-066a-7402-9554-6ae504999041", "version": 1, "description": null }, "function": "transition", "functionCanon": { "name": "Transition", "slug": "transition", "status": "active", "canonId": "019de52d-1365-7149-92aa-66df859e75fd", "version": 1, "description": null }, "density": "sparse", "densityScore": 1, "componentCount": 1, "textChars": 39, "nDataPoints": 0, "notes": null, "elementsJson": [ "headline_text" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:44.364+00", "seconds": 2.548, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/116", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-116", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.299, "w": 0.544, "x": 0.228, "y": 0.35 }, "kind": "title", "text": "Voice as Computing Interface = Why Now?", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:44.364+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "f95b021c-87ce-43d6-adf3-a653e4135d6e", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Section divider", "slug": "section-divider", "status": "active", "bestFor": null, "canonId": "019dd9e1-4c66-707d-8d1f-6e14547134c7", "version": 1, "bodyDocId": null, "description": "A transitional slide marking the start of a new section.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "a5f6b577-6698-40ca-8a10-8a9ebe824bd2", "evidence": "section_divider type", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.9, "extraction": { "at": "2026-07-16 22:00:30.300577+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 116, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 134, "from": 113, "loop": { "name": "15_why_now", "slug": "15-why-now", "status": "active", "bestFor": "Sales pitches, fundraising, requesting immediate budget approval", "canonId": "019dd956-6c00-70cd-bd42-6bacc4af726f", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Context (Trends) -> The Trigger Event -> The Window of Opportunity", "description": "Create temporal urgency by proving that the window of opportunity is opening or closing", "familyLabel": null }, "matchId": "019de7d7-e22d-74be-b2d8-6f4dcc8e253a", "evidence": "p114-115 historical context, p116 'Why Now?' header, p118-120 99% accuracy threshold trigger, pp 122-134 adoption window.", "position": 9, "objective": "Argue voice as a new computing paradigm - context, accuracy trigger, opportunity window", "confidence": 82, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 117, "type": "setup", "function": "summarize", "rawType": "key_messages", "block": null, "metadata": { "slideType": "key_messages", "slideTypeCanon": { "name": "Key messages", "slug": "key_messages", "status": "active", "canonId": "019de52d-0712-703f-89f5-bda6688faf3f", "version": 1, "description": null }, "function": "summarize", "functionCanon": { "name": "Summarize", "slug": "summarize", "status": "active", "canonId": "019de52d-1541-704f-b86f-bf7b75056373", "version": 1, "description": null }, "density": "balanced", "densityScore": 41, "componentCount": 4, "textChars": 717, "nDataPoints": 2, "notes": null, "elementsJson": [ "headline_text", "numbered_list" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:47.257+00", "seconds": 5.305, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/117", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-117", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.6, "w": 0.4, "x": 0.55, "y": 0.19 }, "kind": "list", "text": "1) Random Access vs. Hierarchical GUI: Think Google Search vs. Yahoo! Directory... 2) Low Cost + Small Footprint: Requires microphone / speaker / processor / connectivity – great for Internet of Things... 3) Requires Natural Language Recognition & Processing", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Numbered list", "slug": "numbered", "status": "active", "canonId": "019de52c-fcc0-7718-a284-a4250c805df2", "version": 1, "description": null }, "framework": null }, "subkind": "numbered", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:47.257+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "78766daa-e756-47e3-8c33-01d0baea757f", "parentComponentId": null }, { "bbox": { "h": 0.6, "w": 0.4, "x": 0.05, "y": 0.19 }, "kind": "list", "text": "1) Fast: Humans can speak 150 vs. type 40 words per minute, on average... 2) Easy: Convenient, hands-free, instant... 3) Personalized + Context-Driven / Keyboard Free: Ability to understand wide context of questions based on prior questions / interactions / location / other semantics", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Numbered list", "slug": "numbered", "status": "active", "canonId": "019de52c-fcc0-7718-a284-a4250c805df2", "version": 1, "description": null }, "framework": null }, "subkind": "numbered", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:47.257+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "eaf585fc-8911-4921-9254-fe5794444c43", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.4, "x": 0.1, "y": 0.95 }, "kind": "source-note", "text": "Source: Learn2Type.com, National Center for Voice and Speech, Steve Cheng, Global Product Lead for Voice Search, Google", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:47.257+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "d4cc84c0-4604-4bf3-9f33-fc5007839efe", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.9, "x": 0.05, "y": 0.03 }, "kind": "title", "text": "Voice = Should Be Most Efficient Form of Computing Input", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:47.257+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "cb0b1c8c-b55a-4b9c-8908-20721fe706b5", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Three Pillars", "slug": "three-pillars", "status": "active", "bestFor": null, "canonId": "019dd956-81ef-7455-a365-b234d95a6bbb", "version": 1, "bodyDocId": null, "description": "Three major supporting arguments that are MECE and address key concerns", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Architect", "layer": "block", "agents": [ "Architect" ], "matchId": "019de7d7-f209-7599-b43b-f7fb4952e60a", "evidence": "Two parallel lists structuring benefits/qualities.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 55, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 117, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 134, "from": 113, "loop": { "name": "15_why_now", "slug": "15-why-now", "status": "active", "bestFor": "Sales pitches, fundraising, requesting immediate budget approval", "canonId": "019dd956-6c00-70cd-bd42-6bacc4af726f", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Context (Trends) -> The Trigger Event -> The Window of Opportunity", "description": "Create temporal urgency by proving that the window of opportunity is opening or closing", "familyLabel": null }, "matchId": "019de7d7-e22d-74be-b2d8-6f4dcc8e253a", "evidence": "p114-115 historical context, p116 'Why Now?' header, p118-120 99% accuracy threshold trigger, pp 122-134 adoption window.", "position": 9, "objective": "Argue voice as a new computing paradigm - context, accuracy trigger, opportunity window", "confidence": 82, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 118, "type": "setup", "title": "The slide uses a quote to establish a technical thesis about product-market fit for voice interfaces.", "function": "summarize", "rawType": "quote_slide", "block": null, "metadata": { "slideType": "quote_slide", "slideTypeCanon": { "name": "Quote slide", "slug": "quote_slide", "status": "active", "canonId": "019de52d-098e-7555-a9fd-4f0af7e80bc2", "version": 1, "description": null }, "function": "summarize", "functionCanon": { "name": "Summarize", "slug": "summarize", "status": "active", "canonId": "019de52d-1541-704f-b86f-bf7b75056373", "version": 1, "description": null }, "density": "dense", "densityScore": 71, "componentCount": 7, "textChars": 1123, "nDataPoints": 4, "notes": "The slide uses a quote to establish a technical thesis about product-market fit for voice interfaces.", "elementsJson": [ "headline_text", "paragraph", "quote_block" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:44.436+00", "seconds": 2.426, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/118", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-118", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "Accuracy, followed by latency, are the two key metrics for a production speech system...", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:14+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f2a-66bafff69f2b", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Speech recognition accuracy: 99%", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:14+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f2a-6ecbd58cfeb5", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.4, "x": 0.1, "y": 0.75 }, "kind": "paragraph", "text": "ANDREW NG, CHIEF SCIENTIST AT BAIDU", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:44.436+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "7d2e0a99-75ac-4631-b2a6-83af4b04adea", "parentComponentId": null }, { "bbox": { "h": 0.5, "w": 0.8, "x": 0.1, "y": 0.2 }, "kind": "quote", "text": "As speech recognition accuracy goes from say 95% to 99%, all of us in the room will go from barely using it today to using it all the time. Most people underestimate the difference between 95% and 99% accuracy – 99% is a game changer... No one wants to wait 10 seconds for a response. Accuracy, followed by latency, are the two key metrics for a production speech system...", "attrs": null, "canon": { "kind": { "name": "Quote", "slug": "quote", "status": "active", "canonId": "019de52c-f8fb-751e-8bc6-d58e2d59562a", "version": 1, "description": "Pull quote or testimonial." }, "tool": null, "subkind": { "name": "Pull quote", "slug": "pull-quote", "status": "active", "canonId": "019de52c-fbf9-76fe-97e1-a0b7540445c9", "version": 1, "description": null }, "framework": null }, "subkind": "pull-quote", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:44.436+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "5464c831-866a-4328-80a5-51344f9d5172", "parentComponentId": null }, { "bbox": null, "kind": "quote", "text": "As speech recognition accuracy goes from say 95% to 99%, all of us in the room will go from barely using it today to using it all the time. Most people underestimate the difference between 95% and 99% accuracy – 99% is a game changer... No one wants to wait 10 seconds for a response. Accuracy, followed by latency, are the two key metrics for a production speech system... — ANDREW NG, CHIEF SCIENTIST AT BAIDU", "attrs": null, "canon": { "kind": { "name": "Quote", "slug": "quote", "status": "active", "canonId": "019de52c-f8fb-751e-8bc6-d58e2d59562a", "version": 1, "description": "Pull quote or testimonial." }, "tool": { "name": "Authority citation", "slug": "authority-citation", "status": "active", "bestFor": null, "canonId": "019dd9e1-49ae-7557-89ad-3fca70469b45", "version": 1, "bodyDocId": null, "description": "Quoting an authority figure, study, or precedent to lend weight.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:14+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f2a-6bf1015eb178", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.2, "x": 0.1, "y": 0.95 }, "kind": "source-note", "text": "Source: Andrew Ng, Chief Scientist, Baidu. Note: P2M = person to machine.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:44.436+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "bb4e38d5-69b8-4c8b-9d3e-a1e203dfced7", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.9, "x": 0.05, "y": 0.05 }, "kind": "title", "text": "Person to Machine (P2M) Voice Interaction Adoption Keys = 99% Accuracy in Understanding & Meaning + Low Latency", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:44.436+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "8a9318fc-9d2b-416a-a9e5-ae1a66feccef", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Authority Bias", "slug": "authority-bias", "status": "active", "bestFor": null, "canonId": "019dd956-c38d-70b9-a284-b2b479763356", "version": 1, "bodyDocId": null, "description": "Expert opinions are weighted more heavily - cite credible sources", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Architect", "Storyteller" ], "matchId": "019de7d7-f228-746f-b787-c9435f72abf3", "evidence": "Andrew Ng quote on 95->99% accuracy borrows expert authority.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 80, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 118, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Credibility Transfer", "slug": "credibility-transfer", "status": "active", "bestFor": null, "canonId": "019dd956-bd34-759a-8e3b-2f14b571a2a1", "version": 1, "bodyDocId": null, "description": "Borrowing authority from trusted sources or vivid details", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "019de7d7-f248-734c-80ff-26fdac774213", "evidence": "Quote by recognized AI authority validates threshold claim.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 75, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 118, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 134, "from": 113, "loop": { "name": "15_why_now", "slug": "15-why-now", "status": "active", "bestFor": "Sales pitches, fundraising, requesting immediate budget approval", "canonId": "019dd956-6c00-70cd-bd42-6bacc4af726f", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Context (Trends) -> The Trigger Event -> The Window of Opportunity", "description": "Create temporal urgency by proving that the window of opportunity is opening or closing", "familyLabel": null }, "matchId": "019de7d7-e22d-74be-b2d8-6f4dcc8e253a", "evidence": "p114-115 historical context, p116 'Why Now?' header, p118-120 99% accuracy threshold trigger, pp 122-134 adoption window.", "position": 9, "objective": "Argue voice as a new computing paradigm - context, accuracy trigger, opportunity window", "confidence": 82, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 119, "type": "analysis", "title": "The chart uses a logarithmic scale for the y-axis.", "function": "analyze_data", "rawType": "industry_trends", "block": null, "metadata": { "slideType": "industry_trends", "slideTypeCanon": { "name": "Industry trends", "slug": "industry_trends", "status": "active", "canonId": "019de52d-0b1d-7705-a0e0-c663199cd1fa", "version": 1, "description": null }, "function": "analyze_data", "functionCanon": { "name": "Analyze data", "slug": "analyze_data", "status": "active", "canonId": "019de52d-1590-7413-8c82-cc218cff40b4", "version": 1, "description": null }, "density": "dense", "densityScore": 68, "componentCount": 8, "textChars": 567, "nDataPoints": 5, "notes": "The chart uses a logarithmic scale for the y-axis.", "elementsJson": [ "headline_text", "paragraph", "line_chart", "callout_box" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:48.624+00", "seconds": 6.574, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/119", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-119", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.05, "w": 0.1, "x": 0.7, "y": 0.45 }, "kind": "callout", "text": "@ ~70% accuracy", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": null, "subkind": { "name": "Primary callout", "slug": "primary", "status": "active", "canonId": "019de52c-fbd1-70eb-a9ce-8997f8674c1d", "version": 1, "description": null }, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:48.624+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "3940205f-97bb-4848-9d27-05684d4ca076", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.1, "x": 0.8, "y": 0.4 }, "kind": "callout", "text": "@ ~90% accuracy", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": null, "subkind": { "name": "Primary callout", "slug": "primary", "status": "active", "canonId": "019de52c-fbd1-70eb-a9ce-8997f8674c1d", "version": 1, "description": null }, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:48.624+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "fa01acb0-5f7b-4584-a815-33d8b3c3a207", "parentComponentId": null }, { "bbox": null, "kind": "callout", "text": "Next Frontier = Recognition in heavy background noise in far-field & across diverse speaker characteristics (accents, pitch...)", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:14+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f2a-49600039bbfc", "parentComponentId": null }, { "bbox": { "h": 0.6, "w": 0.7, "x": 0.15, "y": 0.25 }, "kind": "chart", "text": "Words Recognized by Machine (per Google), 1970 – 2016", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Line chart", "slug": "line", "status": "active", "canonId": "019de52c-ff62-778f-8f6c-a952ceae8677", "version": 1, "description": null }, "framework": null }, "subkind": "line", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:48.624+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "cbf0a779-43a8-41f9-8ac3-e16770913062", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Words Recognized: 90%", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:14+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f2a-4ec84c78946a", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.6, "x": 0.2, "y": 0.15 }, "kind": "paragraph", "text": "Next Frontier = Recognition in heavy background noise in far-field & across diverse speaker characteristics (accents, pitch...)", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:48.624+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "ac7c55e3-9196-4c11-ab86-c01af424d3ef", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.3, "x": 0.05, "y": 0.95 }, "kind": "source-note", "text": "Source: Johan Schalkwyk, Voice Technology and Research Lead, Google. Note: For the English language.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:48.624+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "b2d59224-bffc-4baf-9020-f64579ef155e", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.9, "x": 0.05, "y": 0.05 }, "kind": "title", "text": "Machine Speech Recognition @ Human Level Recognition for... Voice Search in Low Noise Environment, per Google", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:48.624+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "03d4ab80-93f7-4a4d-a22b-b53d4180da1b", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-f268-778b-baeb-9c5491c80b63", "evidence": "Words recognized at human level milestone.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 80, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 119, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." }, { "tool": { "name": "Chart Selection Guide", "slug": "chart-selection-guide", "status": "active", "bestFor": null, "canonId": "019dd956-b1a0-700b-ba17-0e16c4d5bcae", "version": 1, "bodyDocId": null, "description": "Choosing the right chart type for your data and message", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "019de7d7-f28a-702c-97d9-cce8dfe4a0cc", "evidence": "Log-scale line for exponential improvement.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 75, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 119, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 134, "from": 113, "loop": { "name": "15_why_now", "slug": "15-why-now", "status": "active", "bestFor": "Sales pitches, fundraising, requesting immediate budget approval", "canonId": "019dd956-6c00-70cd-bd42-6bacc4af726f", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Context (Trends) -> The Trigger Event -> The Window of Opportunity", "description": "Create temporal urgency by proving that the window of opportunity is opening or closing", "familyLabel": null }, "matchId": "019de7d7-e22d-74be-b2d8-6f4dcc8e253a", "evidence": "p114-115 historical context, p116 'Why Now?' header, p118-120 99% accuracy threshold trigger, pp 122-134 adoption window.", "position": 9, "objective": "Argue voice as a new computing paradigm - context, accuracy trigger, opportunity window", "confidence": 82, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 120, "type": "analysis", "title": "The chart highlights the rapid technological advancement in speech recognition across three major industry players.", "function": "analyze_data", "rawType": "industry_trends", "block": null, "metadata": { "slideType": "industry_trends", "slideTypeCanon": { "name": "Industry trends", "slug": "industry_trends", "status": "active", "canonId": "019de52d-0b1d-7705-a0e0-c663199cd1fa", "version": 1, "description": null }, "function": "analyze_data", "functionCanon": { "name": "Analyze data", "slug": "analyze_data", "status": "active", "canonId": "019de52d-1590-7413-8c82-cc218cff40b4", "version": 1, "description": null }, "density": "balanced", "densityScore": 36, "componentCount": 5, "textChars": 342, "nDataPoints": 12, "notes": "The chart highlights the rapid technological advancement in speech recognition across three major industry players.", "elementsJson": [ "headline_text", "bar_chart_grouped", "footnote" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:45.171+00", "seconds": 2.735, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/120", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-120", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.5, "w": 0.8, "x": 0.1, "y": 0.3 }, "kind": "chart", "text": "Grouped bar chart showing accuracy progression for Baidu, Google, and Hound", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Vertical bar chart", "slug": "bar-vertical", "status": "active", "canonId": "019de52c-fe9d-70f2-b3b7-a9ae294f5917", "version": 1, "description": null }, "framework": null }, "subkind": "bar-vertical", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:45.171+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "c4ad932a-144b-457a-9408-31095fb07149", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Word Accuracy Rate: 90%", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:19+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f2c-587efd7a7238", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.6, "x": 0.1, "y": 0.9 }, "kind": "source-note", "text": "Source: Baidu, Google, VentureBeat, SoundHound. Note: Word Error Rate (WER) definitions are specific to each company...", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:45.171+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "a7a967d8-501a-480a-8357-bf6fbd5d3002", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.7, "x": 0.05, "y": 0.05 }, "kind": "title", "text": "Voice Word Accuracy Rates Improving Rapidly... +90% Accuracy for Major Platforms", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:45.171+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "b931685c-1a7c-4cf2-a941-19b9e4252728", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.5, "x": 0.25, "y": 0.17 }, "kind": "title", "text": "Word Accuracy Rates by Platform*, 2012 – 2016", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Subtitle", "slug": "subtitle", "status": "active", "canonId": "019de52c-fb09-739d-900c-815b0d9ac526", "version": 1, "description": null }, "framework": null }, "subkind": "subtitle", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:45.171+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "b2183d23-1b3f-424b-b8a8-516620a34375", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-f2a9-7438-8df2-1e1939254d9a", "evidence": "+90% accuracy across major platforms.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 80, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 120, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." } ], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 134, "from": 113, "loop": { "name": "15_why_now", "slug": "15-why-now", "status": "active", "bestFor": "Sales pitches, fundraising, requesting immediate budget approval", "canonId": "019dd956-6c00-70cd-bd42-6bacc4af726f", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Context (Trends) -> The Trigger Event -> The Window of Opportunity", "description": "Create temporal urgency by proving that the window of opportunity is opening or closing", "familyLabel": null }, "matchId": "019de7d7-e22d-74be-b2d8-6f4dcc8e253a", "evidence": "p114-115 historical context, p116 'Why Now?' header, p118-120 99% accuracy threshold trigger, pp 122-134 adoption window.", "position": 9, "objective": "Argue voice as a new computing paradigm - context, accuracy trigger, opportunity window", "confidence": 82, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 121, "type": "setup", "title": "This is a transition or thesis slide from the KPCB Internet Trends 2016 report.", "function": "summarize", "rawType": "thesis_headline", "block": null, "metadata": { "slideType": "thesis_headline", "slideTypeCanon": { "name": "Thesis headline", "slug": "thesis_headline", "status": "active", "canonId": "019de52d-073a-70cb-b9f6-772a597bb5af", "version": 1, "description": null }, "function": "summarize", "functionCanon": { "name": "Summarize", "slug": "summarize", "status": "active", "canonId": "019de52d-1541-704f-b86f-bf7b75056373", "version": 1, "description": null }, "density": "sparse", "densityScore": 5, "componentCount": 2, "textChars": 94, "nDataPoints": 0, "notes": "This is a transition or thesis slide from the KPCB Internet Trends 2016 report.", "elementsJson": [ "headline_text" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:44.35+00", "seconds": 1.835, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/121", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-121", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.15, "w": 0.7, "x": 0.15, "y": 0.45 }, "kind": "title", "text": "Evolving from Keyboards to Microphones & Keyboards = Still Early Innings", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Action title", "slug": "action-title", "status": "active", "canonId": "019de52c-fb31-734c-a0f5-a3935b73135d", "version": 1, "description": null }, "framework": null }, "subkind": "action-title", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:44.35+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "f8cbc116-e8e2-43b9-b2b6-bc4d42fcfbf2", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.54, "x": 0.23, "y": 0.28 }, "kind": "title", "text": "Computing Interface...", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:44.35+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "6de92d65-e614-4b7f-b02a-402238ae191c", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 134, "from": 113, "loop": { "name": "15_why_now", "slug": "15-why-now", "status": "active", "bestFor": "Sales pitches, fundraising, requesting immediate budget approval", "canonId": "019dd956-6c00-70cd-bd42-6bacc4af726f", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Context (Trends) -> The Trigger Event -> The Window of Opportunity", "description": "Create temporal urgency by proving that the window of opportunity is opening or closing", "familyLabel": null }, "matchId": "019de7d7-e22d-74be-b2d8-6f4dcc8e253a", "evidence": "p114-115 historical context, p116 'Why Now?' header, p118-120 99% accuracy threshold trigger, pp 122-134 adoption window.", "position": 9, "objective": "Argue voice as a new computing paradigm - context, accuracy trigger, opportunity window", "confidence": 82, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 122, "type": "analysis", "title": "Data source: Thrive Analytics, 'Local Search Reports' 2013-2015.", "function": "analyze_data", "rawType": "industry_trends", "block": null, "metadata": { "slideType": "industry_trends", "slideTypeCanon": { "name": "Industry trends", "slug": "industry_trends", "status": "active", "canonId": "019de52d-0b1d-7705-a0e0-c663199cd1fa", "version": 1, "description": null }, "function": "analyze_data", "functionCanon": { "name": "Analyze data", "slug": "analyze_data", "status": "active", "canonId": "019de52d-1590-7413-8c82-cc218cff40b4", "version": 1, "description": null }, "density": "dense", "densityScore": 51, "componentCount": 5, "textChars": 709, "nDataPoints": 15, "notes": "Data source: Thrive Analytics, 'Local Search Reports' 2013-2015.", "elementsJson": [ "headline_text", "bar_chart_vertical", "bar_chart_grouped" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:50.42+00", "seconds": 7.818, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/122", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-122", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.6, "w": 0.45, "x": 0.52, "y": 0.2 }, "kind": "chart", "text": "Voice Assistant Usage – Primary Reason for Change, % of Respondents, USA, 2014 – 2015", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Horizontal bar chart", "slug": "bar-horizontal", "status": "active", "canonId": "019de52c-fec4-7221-986b-1cb5f5e84b1f", "version": 1, "description": null }, "framework": null }, "subkind": "bar-horizontal", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:50.42+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "cb3456b5-31e7-4738-a629-a06448a0adf1", "parentComponentId": null }, { "bbox": { "h": 0.6, "w": 0.45, "x": 0.05, "y": 0.2 }, "kind": "chart", "text": "% of Smartphone Owners Using Voice Assistants Annually, USA, 2013 – 2015", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Vertical bar chart", "slug": "bar-vertical", "status": "active", "canonId": "019de52c-fe9d-70f2-b3b7-a9ae294f5917", "version": 1, "description": null }, "framework": null }, "subkind": "bar-vertical", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:50.42+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "c7555cbe-0b95-4943-aa9b-86c32b04f7be", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.9, "x": 0.05, "y": 0.9 }, "kind": "disclaimer", "text": "Source: Thrive Analytics, \"Local Search Reports\" 2013-2015. Note: Results highlighted in these charts are from the 2013, 2014, and/or 2015 Local Search surveys. These surveys were conducted via an online panel with representative sample sizes for the national population in the US. There were 1,102, 2,058, and 2,125 US smartphone owners that completed the surveys in 2013, 2014 and 2015 respectively.", "attrs": null, "canon": { "kind": { "name": "Disclaimer", "slug": "disclaimer", "status": "active", "canonId": "91173477-d91f-4024-bbaf-d4f93e3f82dc", "version": 1, "description": "Legal/cautionary text that occupies most of the body of its slide." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:50.42+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "f789cdb3-313f-445e-aab5-aa62379c1b5a", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Percentage of smartphone owners using voice assistants: 65%", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:19+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f2b-43e6205d42ad", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.7, "x": 0.05, "y": 0.05 }, "kind": "title", "text": "Mobile Voice Assistant Usage = Rising Quickly... Primarily Driven By Technology Improvements", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:50.42+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "32523600-4f45-412b-9725-efdb39c84c74", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Causal Chain", "slug": "causal-chain", "status": "active", "bestFor": null, "canonId": "019dd956-9e98-7269-907b-8cf727e9499d", "version": 1, "bodyDocId": null, "description": "Showing how one event leads to another in sequence", "familyLabel": null, "categoryName": "Loop", "categorySlug": "loop" }, "agent": "Architect", "layer": "loop", "agents": [ "Architect" ], "matchId": "019de7d7-f331-7599-a243-e748cb0f464b", "evidence": "Trend chart + driver chart shows tech improvements drive usage.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 65, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 122, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-f2c8-753f-8e6c-08c808c4b56d", "evidence": "Voice-assistant adoption rising fast.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 122, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." } ], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 134, "from": 113, "loop": { "name": "15_why_now", "slug": "15-why-now", "status": "active", "bestFor": "Sales pitches, fundraising, requesting immediate budget approval", "canonId": "019dd956-6c00-70cd-bd42-6bacc4af726f", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Context (Trends) -> The Trigger Event -> The Window of Opportunity", "description": "Create temporal urgency by proving that the window of opportunity is opening or closing", "familyLabel": null }, "matchId": "019de7d7-e22d-74be-b2d8-6f4dcc8e253a", "evidence": "p114-115 historical context, p116 'Why Now?' header, p118-120 99% accuracy threshold trigger, pp 122-134 adoption window.", "position": 9, "objective": "Argue voice as a new computing paradigm - context, accuracy trigger, opportunity window", "confidence": 82, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 123, "type": "analysis", "title": "The slide uses Google Trends data as a proxy for voice search adoption.", "function": "quantify_impact", "rawType": "industry_trends", "block": null, "metadata": { "slideType": "industry_trends", "slideTypeCanon": { "name": "Industry trends", "slug": "industry_trends", "status": "active", "canonId": "019de52d-0b1d-7705-a0e0-c663199cd1fa", "version": 1, "description": null }, "function": "quantify_impact", "functionCanon": { "name": "Quantify impact", "slug": "quantify_impact", "status": "active", "canonId": "019de52d-1630-720d-b57d-fa7f76bebd8d", "version": 1, "description": null }, "density": "dense", "densityScore": 63, "componentCount": 7, "textChars": 678, "nDataPoints": 3, "notes": "The slide uses Google Trends data as a proxy for voice search adoption.", "elementsJson": [ "headline_text", "paragraph", "line_chart" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:45.627+00", "seconds": 2.891, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/123", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-123", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "Google Trends imply queries associated with voice-related commands have risen >35x since 2008 after launch of iPhone & Google Voice Search", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:19+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f2b-6f0fb29742d8", "parentComponentId": null }, { "bbox": { "h": 0.6, "w": 0.9, "x": 0.05, "y": 0.3 }, "kind": "chart", "text": "Google Trends, Worldwide, 2008 – 2016", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Line chart", "slug": "line", "status": "active", "canonId": "019de52c-ff62-778f-8f6c-a952ceae8677", "version": 1, "description": null }, "framework": null }, "subkind": "line", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:45.627+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "f8585193-e018-4901-802d-3d391e38af49", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.1, "x": 0.15, "y": 0.45 }, "kind": "legend", "text": "Navigate Home, Call Mom, Call Dad", "attrs": null, "canon": { "kind": { "name": "Legend", "slug": "legend", "status": "active", "canonId": "31361933-3d22-4c70-bbad-0801e9fffc0c", "version": 1, "description": "Color/symbol decoder placed adjacent to a chart or diagram." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:45.627+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "0b7ce63a-7fac-4e88-8e4e-a9ca1cd46b83", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Search query volume: >35x", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:19+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f2b-70f6859848b3", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.7, "x": 0.15, "y": 0.18 }, "kind": "paragraph", "text": "Google Trends imply queries associated with voice-related commands have risen >35x since 2008 after launch of iPhone & Google Voice Search", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:45.627+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "19a313d2-17f4-4247-a02b-a5e4b1e60d33", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.96, "x": 0.02, "y": 0.95 }, "kind": "source-note", "text": "Source: Google Trends. Note: Assume command-based queries are voice searches given lack of relevance for keyword-based search. Aggregate growth values determined using growth in Google Trends for three queries listed above.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:45.627+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "3ed916a8-724d-44db-8c74-7efecc91cea5", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.96, "x": 0.02, "y": 0.02 }, "kind": "title", "text": "Google Voice Search Queries = Up >35x Since 2008 & >7x Since 2010, per Google Trends", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:45.627+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "d89ee9ad-769f-4916-81f8-52d5ac02d1b8", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Waterfall chart", "slug": "waterfall-chart", "status": "active", "bestFor": null, "canonId": "e2799da3-725f-44a9-a093-570f1f388e64", "version": 1, "bodyDocId": null, "description": null, "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "94145722-68c5-4819-a4ce-f0ac7c5e65fb", "evidence": "chart/line: Google Trends, Worldwide, 2008 – 2016", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:00:35.898515+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 123, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 134, "from": 113, "loop": { "name": "15_why_now", "slug": "15-why-now", "status": "active", "bestFor": "Sales pitches, fundraising, requesting immediate budget approval", "canonId": "019dd956-6c00-70cd-bd42-6bacc4af726f", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Context (Trends) -> The Trigger Event -> The Window of Opportunity", "description": "Create temporal urgency by proving that the window of opportunity is opening or closing", "familyLabel": null }, "matchId": "019de7d7-e22d-74be-b2d8-6f4dcc8e253a", "evidence": "p114-115 historical context, p116 'Why Now?' header, p118-120 99% accuracy threshold trigger, pp 122-134 adoption window.", "position": 9, "objective": "Argue voice as a new computing paradigm - context, accuracy trigger, opportunity window", "confidence": 82, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 124, "type": "analysis", "title": "The slide highlights the rapid adoption of voice technologies in the Chinese market due to the difficulty of typing on small keyboards.", "function": "quantify_impact", "rawType": "kpi_dashboard", "block": null, "metadata": { "slideType": "kpi_dashboard", "slideTypeCanon": { "name": "KPI dashboard", "slug": "kpi_dashboard", "status": "active", "canonId": "019de52d-0be5-7295-af4d-b850fe7b7e65", "version": 1, "description": null }, "function": "quantify_impact", "functionCanon": { "name": "Quantify impact", "slug": "quantify_impact", "status": "active", "canonId": "019de52d-1630-720d-b57d-fa7f76bebd8d", "version": 1, "description": null }, "density": "dense", "densityScore": 66, "componentCount": 7, "textChars": 803, "nDataPoints": 2, "notes": "The slide highlights the rapid adoption of voice technologies in the Chinese market due to the difficulty of typing on small keyboards.", "elementsJson": [ "headline_text", "paragraph", "line_chart", "line_chart", "footnote" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:45.409+00", "seconds": 2.571, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/124", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-124", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "Usage across all Baidu products growing rapidly...typing Chinese on small cellphone keyboard even more difficult than typing English...Text-to-Speech supplements speech recognition & key component of man-machine communications using voice", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:18+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f2a-9f40f11e8d73", "parentComponentId": null }, { "bbox": { "h": 0.5, "w": 0.4, "x": 0.05, "y": 0.28 }, "kind": "chart", "text": "Baidu Speech Recognition Daily Usage by API Calls, Global, 2014 – 2016", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Line chart", "slug": "line", "status": "active", "canonId": "019de52c-ff62-778f-8f6c-a952ceae8677", "version": 1, "description": null }, "framework": null }, "subkind": "line", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:45.409+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "a60a95d4-5167-450f-bea3-293c992fe40a", "parentComponentId": null }, { "bbox": { "h": 0.5, "w": 0.4, "x": 0.55, "y": 0.28 }, "kind": "chart", "text": "Baidu Text to Speech (TTS) Daily Usage by API Calls, Global, 2014 – 2016", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Line chart", "slug": "line", "status": "active", "canonId": "019de52c-ff62-778f-8f6c-a952ceae8677", "version": 1, "description": null }, "framework": null }, "subkind": "line", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:45.409+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "acf16dfa-26a2-46a4-a309-459fb082e843", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "API Calls: 26x", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:18+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f2a-a0dcaeee441c", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.7, "x": 0.15, "y": 0.15 }, "kind": "paragraph", "text": "Usage across all Baidu products growing rapidly...typing Chinese on small cellphone keyboard even more difficult than typing English...Text-to-Speech supplements speech recognition & key component of man-machine communications using voice", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:45.409+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "18bc90b4-a1f5-4179-9ecd-37f0a3496a26", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.9, "x": 0.05, "y": 0.92 }, "kind": "source-note", "text": "Source: Baidu. Note: (1) Data shown is growth of speech recognition at Baidu... (2) Data shown is growth of TTS...", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:45.409+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "53cf5e26-3a18-4ae3-b114-ac951cf3f9d2", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.9, "x": 0.05, "y": 0.05 }, "kind": "title", "text": "Baidu Voice = Input Growth >4x...Output >26x, Since Q2:14", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Action title", "slug": "action-title", "status": "active", "canonId": "019de52c-fb31-734c-a0f5-a3935b73135d", "version": 1, "description": null }, "framework": null }, "subkind": "action-title", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:45.409+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "5000193d-51d0-4979-8d75-21ca6f4eade5", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Waterfall chart", "slug": "waterfall-chart", "status": "active", "bestFor": null, "canonId": "e2799da3-725f-44a9-a093-570f1f388e64", "version": 1, "bodyDocId": null, "description": null, "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "4a91b4a0-471b-4ac7-a92e-8113b6eaa91e", "evidence": "chart/line: Baidu Text to Speech (TTS) Daily Usage by API Calls, Global, 2014 – 2016", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:00:35.964467+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 124, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Waterfall chart", "slug": "waterfall-chart", "status": "active", "bestFor": null, "canonId": "e2799da3-725f-44a9-a093-570f1f388e64", "version": 1, "bodyDocId": null, "description": null, "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "b5b1563c-9d50-42bc-a569-a86d9512019f", "evidence": "chart/line: Baidu Speech Recognition Daily Usage by API Calls, Global, 2014 – 2016", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:00:35.998737+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 124, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 134, "from": 113, "loop": { "name": "15_why_now", "slug": "15-why-now", "status": "active", "bestFor": "Sales pitches, fundraising, requesting immediate budget approval", "canonId": "019dd956-6c00-70cd-bd42-6bacc4af726f", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Context (Trends) -> The Trigger Event -> The Window of Opportunity", "description": "Create temporal urgency by proving that the window of opportunity is opening or closing", "familyLabel": null }, "matchId": "019de7d7-e22d-74be-b2d8-6f4dcc8e253a", "evidence": "p114-115 historical context, p116 'Why Now?' header, p118-120 99% accuracy threshold trigger, pp 122-134 adoption window.", "position": 9, "objective": "Argue voice as a new computing paradigm - context, accuracy trigger, opportunity window", "confidence": 82, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 125, "type": "analysis", "title": "Data source: SoundHound. Based on 30-day user activity.", "function": "analyze_data", "rawType": "data_table", "block": null, "metadata": { "slideType": "data_table", "slideTypeCanon": { "name": "Data table", "slug": "data_table", "status": "active", "canonId": "019de52d-0bbd-71b9-9918-417f904abbf8", "version": 1, "description": null }, "function": "analyze_data", "functionCanon": { "name": "Analyze data", "slug": "analyze_data", "status": "active", "canonId": "019de52d-1590-7413-8c82-cc218cff40b4", "version": 1, "description": null }, "density": "dense", "densityScore": 65, "componentCount": 7, "textChars": 747, "nDataPoints": 4, "notes": "Data source: SoundHound. Based on 30-day user activity.", "elementsJson": [ "headline_text", "paragraph", "pie_chart", "footnote" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:46.464+00", "seconds": 3.476, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/125", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-125", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "Seeing 6-8 queries per active user per day among 100+ domains across 4 categories... Users most care about speed / accuracy / ability to follow up / ability to understand complex queries...", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:19+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f2b-f5b09a5a1ad8", "parentComponentId": null }, { "bbox": { "h": 0.5, "w": 0.4, "x": 0.3, "y": 0.35 }, "kind": "chart", "text": "Pie chart showing: General Information (30%), Personal Assistant (27%), Local Information (22%), Fun & Entertainment (21%)", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Pie chart", "slug": "pie", "status": "active", "canonId": "019de52c-ffdb-71bb-a800-5c5ab9f1c373", "version": 1, "description": null }, "framework": null }, "subkind": "pie", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:46.464+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "d8acd61b-0fe4-4aa0-b904-775820919db4", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Queries per user per day: 6-8", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:19+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f2b-f9174d497f3e", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.8, "x": 0.1, "y": 0.15 }, "kind": "paragraph", "text": "Seeing 6-8 queries per active user per day among 100+ domains across 4 categories... Users most care about speed / accuracy / ability to follow up / ability to understand complex queries...", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:46.464+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "346b5ad9-137f-4042-9b85-69f336b90374", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.6, "x": 0.1, "y": 0.93 }, "kind": "source-note", "text": "Source: SoundHound. Note: Based on most recent 30-days of user activity.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:46.464+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "0be5b704-6ac0-4c7c-83fd-f55765cadc5c", "parentComponentId": null }, { "bbox": { "h": 0.12, "w": 0.96, "x": 0.02, "y": 0.02 }, "kind": "title", "text": "Hound Voice Search & Assistant App = 6-8 Queries Across 4 Categories per User per Day", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:46.464+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "2f6f4b3b-ab2c-45c0-a9cd-5ec7c34331ee", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.6, "x": 0.2, "y": 0.27 }, "kind": "title", "text": "Voice Query Breakdown – Observed Data on Hound App, USA, 2016", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Subtitle", "slug": "subtitle", "status": "active", "canonId": "019de52c-fb09-739d-900c-815b0d9ac526", "version": 1, "description": null }, "framework": null }, "subkind": "subtitle", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:46.464+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "40253fdd-c2b8-4383-a25d-a8719fe9069f", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "2x2 matrix", "slug": "matrix-2x2", "status": "active", "bestFor": null, "canonId": "019dd9e1-50ab-72d1-8afb-3ab0a38e32a8", "version": 1, "bodyDocId": null, "description": "BCG matrix, importance/urgency, any axes-and-quadrants frame.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "a4c36437-73c6-45a0-87c7-a892f9ca2f67", "evidence": "chart/pie: Pie chart showing: General Information (30%), Personal Assistant (27%), Local Information (22%), Fun & Entertainment (21%)", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:00:36.070043+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 125, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 134, "from": 113, "loop": { "name": "15_why_now", "slug": "15-why-now", "status": "active", "bestFor": "Sales pitches, fundraising, requesting immediate budget approval", "canonId": "019dd956-6c00-70cd-bd42-6bacc4af726f", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Context (Trends) -> The Trigger Event -> The Window of Opportunity", "description": "Create temporal urgency by proving that the window of opportunity is opening or closing", "familyLabel": null }, "matchId": "019de7d7-e22d-74be-b2d8-6f4dcc8e253a", "evidence": "p114-115 historical context, p116 'Why Now?' header, p118-120 99% accuracy threshold trigger, pp 122-134 adoption window.", "position": 9, "objective": "Argue voice as a new computing paradigm - context, accuracy trigger, opportunity window", "confidence": 82, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 126, "type": "setup", "title": "Part of KPCB Internet Trends 2016 deck.", "function": "summarize", "rawType": "timeline", "block": null, "metadata": { "slideType": "timeline", "slideTypeCanon": { "name": "Timeline", "slug": "timeline", "status": "active", "canonId": "019de52d-0851-75eb-b758-ea2965e7739a", "version": 1, "description": null }, "function": "summarize", "functionCanon": { "name": "Summarize", "slug": "summarize", "status": "active", "canonId": "019de52d-1541-704f-b86f-bf7b75056373", "version": 1, "description": null }, "density": "overcrowded", "densityScore": 89, "componentCount": 12, "textChars": 1084, "nDataPoints": 6, "notes": "Part of KPCB Internet Trends 2016 deck.", "elementsJson": [ "headline_text", "timeline_visual", "callout_box", "quote_block" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:47.151+00", "seconds": 3.543, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/126", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-126", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.25, "w": 0.22, "x": 0.75, "y": 0.2 }, "kind": "callout", "text": "2020: In five years time at least 50% of all searches are going to be either through images or speech. Andrew Ng, Chief Scientist, Baidu (9/14)", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": null, "subkind": { "name": "Primary callout", "slug": "primary", "status": "active", "canonId": "019de52c-fbd1-70eb-a9ce-8997f8674c1d", "version": 1, "description": null }, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:47.151+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "e077311d-96c0-4b9c-9bc7-33ac26eca906", "parentComponentId": null }, { "bbox": null, "kind": "callout", "text": "In five years time at least 50% of all searches are going to be either through images or speech.", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:18+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f2a-ce0f850e6427", "parentComponentId": null }, { "bbox": { "h": 0.6, "w": 0.94, "x": 0.03, "y": 0.21 }, "kind": "diagram", "text": "Timeline of voice search milestones", "attrs": null, "canon": { "kind": { "name": "Diagram", "slug": "diagram", "status": "active", "canonId": "019de52c-f9f0-734a-81de-15382ff28c65", "version": 1, "description": "Schematic or relational diagram." }, "tool": null, "subkind": { "name": "Timeline", "slug": "timeline", "status": "active", "canonId": "019de52d-03c5-73fc-84aa-4180cbf0f5cf", "version": 1, "description": null }, "framework": null }, "subkind": "timeline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:47.151+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "83feb171-0042-4bde-a025-8c6d531e4afb", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.25, "x": 0.43, "y": 0.2 }, "kind": "list", "text": "May 2016: Bing – 25% of searches performed on Windows 10 taskbar are voice searches per Microsoft reps.", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Timeline item", "slug": "timeline-item", "status": "active", "canonId": "019de52c-fd0e-74ce-9443-440fbd8c23b4", "version": 1, "description": null }, "framework": null }, "subkind": "timeline-item", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:47.151+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "3599efca-bf85-49d5-829d-2eee468f7ec8", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.25, "x": 0.36, "y": 0.61 }, "kind": "list", "text": "2015: Amazon Echo – fastest-selling speaker in 2015, @ for ~25% of USA speaker market, per 1010data.", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Timeline item", "slug": "timeline-item", "status": "active", "canonId": "019de52c-fd0e-74ce-9443-440fbd8c23b4", "version": 1, "description": null }, "framework": null }, "subkind": "timeline-item", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:47.151+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "506d7a78-8a97-498d-bf71-1f42d6b56282", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.25, "x": 0.65, "y": 0.61 }, "kind": "list", "text": "May 2016: Android – 1 in 5 searches on mobile app in USA are voice searches & share is growing.", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Timeline item", "slug": "timeline-item", "status": "active", "canonId": "019de52c-fd0e-74ce-9443-440fbd8c23b4", "version": 1, "description": null }, "framework": null }, "subkind": "timeline-item", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:47.151+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "dce1c1a8-4955-4287-b5e3-b1f196e49ac9", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.25, "x": 0.06, "y": 0.61 }, "kind": "list", "text": "June 2015: Siri – handles more than 1 billion requests per week through speech.", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Timeline item", "slug": "timeline-item", "status": "active", "canonId": "019de52c-fd0e-74ce-9443-440fbd8c23b4", "version": 1, "description": null }, "framework": null }, "subkind": "timeline-item", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:47.151+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "f53322ee-2420-4f34-a078-f79b1df22ddf", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.25, "x": 0.12, "y": 0.2 }, "kind": "list", "text": "September 2014: Baidu – 1 in 10 queries come through speech.", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Timeline item", "slug": "timeline-item", "status": "active", "canonId": "019de52c-fd0e-74ce-9443-440fbd8c23b4", "version": 1, "description": null }, "framework": null }, "subkind": "timeline-item", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:47.151+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "f9a7fe34-99f4-4462-ab0e-7b4d9e7aa3e7", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Search share: 50%", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:18+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f2a-d7d9e2fee669", "parentComponentId": null }, { "bbox": null, "kind": "quote", "text": "In five years time at least 50% of all searches are going to be either through images or speech. — Andrew Ng, Chief Scientist, Baidu (9/14)", "attrs": null, "canon": { "kind": { "name": "Quote", "slug": "quote", "status": "active", "canonId": "019de52c-f8fb-751e-8bc6-d58e2d59562a", "version": 1, "description": "Pull quote or testimonial." }, "tool": { "name": "Authority citation", "slug": "authority-citation", "status": "active", "bestFor": null, "canonId": "019dd9e1-49ae-7557-89ad-3fca70469b45", "version": 1, "bodyDocId": null, "description": "Quoting an authority figure, study, or precedent to lend weight.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:18+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f2a-d29836a0edd9", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.5, "x": 0.1, "y": 0.94 }, "kind": "source-note", "text": "Source: Baidu World 2014, Gigaom, Gadgets 360, 1010data, MediaPost, SearchEngineLand, Google I/O 2016, ComScore, Recode, Fast Company", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:47.151+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "cf01a904-9c82-461e-bf49-211e5d4182c2", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.96, "x": 0.02, "y": 0.02 }, "kind": "title", "text": "Voice = Gaining Search Share... USA Android @ 20%...Baidu @ 10%...Bing Taskbar @ 25%", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:47.151+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "ba708284-72d7-476e-bc98-59103fa8444c", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Authority Bias", "slug": "authority-bias", "status": "active", "bestFor": null, "canonId": "019dd956-c38d-70b9-a284-b2b479763356", "version": 1, "bodyDocId": null, "description": "Expert opinions are weighted more heavily - cite credible sources", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Architect", "Storyteller" ], "matchId": "019de7d7-f351-77e7-9741-e8ec6cf21575", "evidence": "Andrew Ng forecast: 50% of search via images/speech.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 75, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 126, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Credibility Transfer", "slug": "credibility-transfer", "status": "active", "bestFor": null, "canonId": "019dd956-bd34-759a-8e3b-2f14b571a2a1", "version": 1, "bodyDocId": null, "description": "Borrowing authority from trusted sources or vivid details", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "019de7d7-f372-72d7-9650-b8b5fe670363", "evidence": "Expert quote sells the future-state.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 126, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [ { "matchId": "48313183-fa6a-41ed-a96b-997b8bbfc551", "evidence": "Chronological progression of voice search adoption milestones.", "framework": null, "confidence": 1, "extraction": { "at": "2026-05-02 17:38:47.151+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 126, "frameworkName": "timeline" } ], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 134, "from": 113, "loop": { "name": "15_why_now", "slug": "15-why-now", "status": "active", "bestFor": "Sales pitches, fundraising, requesting immediate budget approval", "canonId": "019dd956-6c00-70cd-bd42-6bacc4af726f", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Context (Trends) -> The Trigger Event -> The Window of Opportunity", "description": "Create temporal urgency by proving that the window of opportunity is opening or closing", "familyLabel": null }, "matchId": "019de7d7-e22d-74be-b2d8-6f4dcc8e253a", "evidence": "p114-115 historical context, p116 'Why Now?' header, p118-120 99% accuracy threshold trigger, pp 122-134 adoption window.", "position": 9, "objective": "Argue voice as a new computing paradigm - context, accuracy trigger, opportunity window", "confidence": 82, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 127, "type": "setup", "function": "summarize", "rawType": "thesis_headline", "block": null, "metadata": { "slideType": "thesis_headline", "slideTypeCanon": { "name": "Thesis headline", "slug": "thesis_headline", "status": "active", "canonId": "019de52d-073a-70cb-b9f6-772a597bb5af", "version": 1, "description": null }, "function": "summarize", "functionCanon": { "name": "Summarize", "slug": "summarize", "status": "active", "canonId": "019de52d-1541-704f-b86f-bf7b75056373", "version": 1, "description": null }, "density": "sparse", "densityScore": 4, "componentCount": 2, "textChars": 83, "nDataPoints": 0, "notes": null, "elementsJson": [ "headline_text" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:48.926+00", "seconds": 5.29, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/127", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-127", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.15, "w": 0.81, "x": 0.095, "y": 0.545 }, "kind": "title", "text": "Hands & Vision-Free = Expands Concept of 'Always On'", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Action title", "slug": "action-title", "status": "active", "canonId": "019de52c-fb31-734c-a0f5-a3935b73135d", "version": 1, "description": null }, "framework": null }, "subkind": "action-title", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:48.926+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "52391ef7-025e-474c-8094-ae0461226ea0", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.55, "x": 0.225, "y": 0.285 }, "kind": "title", "text": "Voice as Computing Interface...", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:48.926+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "5642bf0c-4b0b-4396-8c34-0e2fb68ba3e3", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 134, "from": 113, "loop": { "name": "15_why_now", "slug": "15-why-now", "status": "active", "bestFor": "Sales pitches, fundraising, requesting immediate budget approval", "canonId": "019dd956-6c00-70cd-bd42-6bacc4af726f", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Context (Trends) -> The Trigger Event -> The Window of Opportunity", "description": "Create temporal urgency by proving that the window of opportunity is opening or closing", "familyLabel": null }, "matchId": "019de7d7-e22d-74be-b2d8-6f4dcc8e253a", "evidence": "p114-115 historical context, p116 'Why Now?' header, p118-120 99% accuracy threshold trigger, pp 122-134 adoption window.", "position": 9, "objective": "Argue voice as a new computing paradigm - context, accuracy trigger, opportunity window", "confidence": 82, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 128, "type": "analysis", "title": "KPCB Internet Trends 2016 slide 127.", "function": "analyze_data", "rawType": "industry_trends", "block": null, "metadata": { "slideType": "industry_trends", "slideTypeCanon": { "name": "Industry trends", "slug": "industry_trends", "status": "active", "canonId": "019de52d-0b1d-7705-a0e0-c663199cd1fa", "version": 1, "description": null }, "function": "analyze_data", "functionCanon": { "name": "Analyze data", "slug": "analyze_data", "status": "active", "canonId": "019de52d-1590-7413-8c82-cc218cff40b4", "version": 1, "description": null }, "density": "balanced", "densityScore": 46, "componentCount": 6, "textChars": 375, "nDataPoints": 9, "notes": "KPCB Internet Trends 2016 slide 127.", "elementsJson": [ "headline_text", "bar_chart_horizontal", "bar_chart_horizontal", "footnote" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:46.436+00", "seconds": 2.67, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/128", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-128", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "Hands & vision-free interaction is the top reason to use voice.", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:19+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f2c-3b83eef92f7e", "parentComponentId": null }, { "bbox": { "h": 0.6, "w": 0.4, "x": 0.05, "y": 0.2 }, "kind": "chart", "text": "Primary Reasons for Using Voice, USA, 2016", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Horizontal bar chart", "slug": "bar-horizontal", "status": "active", "canonId": "019de52c-fec4-7221-986b-1cb5f5e84b1f", "version": 1, "description": null }, "framework": null }, "subkind": "bar-horizontal", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:46.436+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "d7132940-5207-4c48-a003-5c33483baec1", "parentComponentId": null }, { "bbox": { "h": 0.6, "w": 0.4, "x": 0.55, "y": 0.2 }, "kind": "chart", "text": "Primary Setting for Voice Usage, USA, 2016", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Horizontal bar chart", "slug": "bar-horizontal", "status": "active", "canonId": "019de52c-fec4-7221-986b-1cb5f5e84b1f", "version": 1, "description": null }, "framework": null }, "subkind": "bar-horizontal", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:46.436+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "e27c317e-1aa0-45f2-b439-646c3e8e8afb", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Usage motivation: 61%", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:19+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f2c-3c6f83c41630", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.9, "x": 0.05, "y": 0.9 }, "kind": "source-note", "text": "Source: MindMeld 'Intelligent Voice Assistants Research Report - Q1 2016'. Note: Based on survey of n = 1,800 respondents...", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:46.436+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "f58d7cd8-a83e-4f66-ab04-c3290089b435", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.9, "x": 0.05, "y": 0.05 }, "kind": "title", "text": "Hands & Vision-Free Interaction = Top Reason to Use Voice...@ Home / In Car / On Go", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:46.436+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "ca53c605-de2d-4c76-b397-10956ce35a8d", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 134, "from": 113, "loop": { "name": "15_why_now", "slug": "15-why-now", "status": "active", "bestFor": "Sales pitches, fundraising, requesting immediate budget approval", "canonId": "019dd956-6c00-70cd-bd42-6bacc4af726f", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Context (Trends) -> The Trigger Event -> The Window of Opportunity", "description": "Create temporal urgency by proving that the window of opportunity is opening or closing", "familyLabel": null }, "matchId": "019de7d7-e22d-74be-b2d8-6f4dcc8e253a", "evidence": "p114-115 historical context, p116 'Why Now?' header, p118-120 99% accuracy threshold trigger, pp 122-134 adoption window.", "position": 9, "objective": "Argue voice as a new computing paradigm - context, accuracy trigger, opportunity window", "confidence": 82, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 129, "type": "setup", "function": "transition", "rawType": "section_divider", "block": null, "metadata": { "slideType": "section_divider", "slideTypeCanon": { "name": "Section divider", "slug": "section_divider", "status": "active", "canonId": "019de52d-066a-7402-9554-6ae504999041", "version": 1, "description": null }, "function": "transition", "functionCanon": { "name": "Transition", "slug": "transition", "status": "active", "canonId": "019de52d-1365-7149-92aa-66df859e75fd", "version": 1, "description": null }, "density": "sparse", "densityScore": 4, "componentCount": 1, "textChars": 94, "nDataPoints": 0, "notes": null, "elementsJson": [ "headline_text" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:45.425+00", "seconds": 1.63, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/129", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-129", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.4, "w": 0.6, "x": 0.2, "y": 0.3 }, "kind": "title", "text": "Voice as Computing Interface... Platforms Being Built... Third Party Developers Moving Quickly", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:45.425+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "f0451529-9fc5-4508-8f0d-e6b9c1691b6b", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 134, "from": 113, "loop": { "name": "15_why_now", "slug": "15-why-now", "status": "active", "bestFor": "Sales pitches, fundraising, requesting immediate budget approval", "canonId": "019dd956-6c00-70cd-bd42-6bacc4af726f", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Context (Trends) -> The Trigger Event -> The Window of Opportunity", "description": "Create temporal urgency by proving that the window of opportunity is opening or closing", "familyLabel": null }, "matchId": "019de7d7-e22d-74be-b2d8-6f4dcc8e253a", "evidence": "p114-115 historical context, p116 'Why Now?' header, p118-120 99% accuracy threshold trigger, pp 122-134 adoption window.", "position": 9, "objective": "Argue voice as a new computing paradigm - context, accuracy trigger, opportunity window", "confidence": 82, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 130, "type": "evidence", "title": "Slide from KPCB Internet Trends 2016 report.", "function": "illustrate_case", "rawType": "client_example", "block": null, "metadata": { "slideType": "client_example", "slideTypeCanon": { "name": "Client example", "slug": "client_example", "status": "active", "canonId": "019de52d-0c87-77cb-9867-613ae22e95ac", "version": 1, "description": null }, "function": "illustrate_case", "functionCanon": { "name": "Illustrate case", "slug": "illustrate_case", "status": "active", "canonId": "019de52d-13b4-772c-bb73-1873612a7463", "version": 1, "description": null }, "density": "dense", "densityScore": 74, "componentCount": 10, "textChars": 549, "nDataPoints": 3, "notes": "Slide from KPCB Internet Trends 2016 report.", "elementsJson": [ "headline_text", "icon_grid", "screenshot", "logo_grid", "paragraph" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:46.924+00", "seconds": 3.092, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/130", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-130", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "Alexa 'Skills' Kit Developers = ~950 Skills (5/16) vs. 14 Skills (9/15)", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:19+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f2a-ea496cad6ffe", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.82, "x": 0.09, "y": 0.77 }, "kind": "image", "text": "Partner logos", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Logo grid", "slug": "logo-grid", "status": "active", "canonId": "019de52c-fdd7-7409-93e5-81280a8ca215", "version": 1, "description": null }, "framework": null }, "subkind": "logo-grid", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:46.924+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "6c3637d6-b0d7-4fc7-8a17-811b6d500fae", "parentComponentId": null }, { "bbox": { "h": 0.32, "w": 0.45, "x": 0.06, "y": 0.31 }, "kind": "image", "text": "Home device icons", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Logo grid", "slug": "logo-grid", "status": "active", "canonId": "019de52c-fdd7-7409-93e5-81280a8ca215", "version": 1, "description": null }, "framework": null }, "subkind": "logo-grid", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:46.924+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "c0e196d2-7664-438e-bf0b-e3fdb23d7a61", "parentComponentId": null }, { "bbox": { "h": 0.32, "w": 0.25, "x": 0.51, "y": 0.345 }, "kind": "image", "text": "Car integration photo", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Photo", "slug": "photo", "status": "active", "canonId": "019de52c-fd37-757f-b4a8-ca26d4888875", "version": 1, "description": null }, "framework": null }, "subkind": "photo", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:46.924+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "30dbbe37-1ada-4dcb-9862-08271e46506c", "parentComponentId": null }, { "bbox": { "h": 0.35, "w": 0.13, "x": 0.82, "y": 0.33 }, "kind": "image", "text": "Mobile app screenshot", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Photo", "slug": "photo", "status": "active", "canonId": "019de52c-fd37-757f-b4a8-ca26d4888875", "version": 1, "description": null }, "framework": null }, "subkind": "photo", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:46.924+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "ca008f05-29c8-4e3b-ae6d-b13f71674082", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Alexa Skills: 950", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:19+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f2a-efde39c0205b", "parentComponentId": null }, { "bbox": { "h": 0.04, "w": 0.8, "x": 0.1, "y": 0.695 }, "kind": "paragraph", "text": "Alexa 'Skills' Kit Developers = ~950 Skills (5/16) vs. 14 Skills (9/15)", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:46.924+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "b2c45cb3-921f-475e-8a20-947d11ff6fe4", "parentComponentId": null }, { "bbox": { "h": 0.04, "w": 0.86, "x": 0.07, "y": 0.16 }, "kind": "paragraph", "text": "Alexa Voice Service – OEM / Developer Integrations (10+ integrations...)", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:46.924+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "bfed3f9f-9dd6-4922-be4a-d82eb3ba2316", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.4, "x": 0.1, "y": 0.945 }, "kind": "source-note", "text": "Source: TechCrunch, Amazon Alexa, AFTVnews. Image: Geekwire.com, Heylexi.com. Note: Amazon launched the Alexa Skills Kit for third-party developers in 6/15.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:46.924+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "01fe3b54-80f6-406a-ada0-62860528ee10", "parentComponentId": null }, { "bbox": { "h": 0.12, "w": 0.96, "x": 0.02, "y": 0.02 }, "kind": "title", "text": "Amazon Alexa Voice Platform Goal = Voice-Enable Devices = Mics for Home / Car / Mobiles...", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:46.924+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "6a49f7a6-b5b0-401c-b0b1-089425d2db3b", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-f391-7518-a8cf-89062e834622", "evidence": "Alexa Skills 950 vs 14 (Y/Y).", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 80, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 130, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." }, { "tool": { "name": "List presentation", "slug": "list-presentation", "status": "active", "bestFor": null, "canonId": "019dd9e1-4ef7-777d-ba68-9074c2b3bcf1", "version": 1, "bodyDocId": null, "description": "Bulleted, numbered, or checklist enumerations.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "27ab1d7b-35c1-4e30-9ba4-8da15f55308d", "evidence": "list/numbered: 1. Shopping Lists (2014) 2. Reorder past purchases by voice (2015) 3. Order new items – assuming you are fine with Amazon selecting exact item (2015)", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:00:36.21167+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 130, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null }, { "tool": { "name": "Picture Superiority Effect", "slug": "picture-superiority-effect", "status": "active", "bestFor": null, "canonId": "019dd956-c201-7014-bb58-3e85e3e11dfd", "version": 1, "bodyDocId": null, "description": "Pictures remembered 6x better than words - prioritize visuals over text", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "019de7d7-f3f7-71d2-8f96-139393c95b99", "evidence": "Product images ground the abstract platform argument.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 65, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 130, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 134, "from": 113, "loop": { "name": "15_why_now", "slug": "15-why-now", "status": "active", "bestFor": "Sales pitches, fundraising, requesting immediate budget approval", "canonId": "019dd956-6c00-70cd-bd42-6bacc4af726f", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Context (Trends) -> The Trigger Event -> The Window of Opportunity", "description": "Create temporal urgency by proving that the window of opportunity is opening or closing", "familyLabel": null }, "matchId": "019de7d7-e22d-74be-b2d8-6f4dcc8e253a", "evidence": "p114-115 historical context, p116 'Why Now?' header, p118-120 99% accuracy threshold trigger, pp 122-134 adoption window.", "position": 9, "objective": "Argue voice as a new computing paradigm - context, accuracy trigger, opportunity window", "confidence": 82, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 131, "type": "setup", "title": "The slide highlights the strategic role of voice-enabled hardware in the Amazon commerce flywheel.", "function": "present_solution", "rawType": "business_case", "block": null, "metadata": { "slideType": "business_case", "slideTypeCanon": { "name": "Business case", "slug": "business_case", "status": "active", "canonId": "019de52d-0e16-7764-9eec-dceac9d5f517", "version": 1, "description": null }, "function": "present_solution", "functionCanon": { "name": "Present solution", "slug": "present_solution", "status": "active", "canonId": "019de52d-15b8-71da-bd23-2b767850cbce", "version": 1, "description": null }, "density": "dense", "densityScore": 67, "componentCount": 7, "textChars": 825, "nDataPoints": 3, "notes": "The slide highlights the strategic role of voice-enabled hardware in the Amazon commerce flywheel.", "elementsJson": [ "headline_text", "paragraph", "photo", "numbered_list", "process_diagram" ], "confidence": 0.95, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:52.272+00", "seconds": 8.406, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/131", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-131", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "3x faster to shop using microphone than to navigate menus in mobile apps", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:19+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f2c-141ce334f1de", "parentComponentId": null }, { "bbox": { "h": 0.6, "w": 0.4, "x": 0.1, "y": 0.3 }, "kind": "image", "text": "Amazon Echo product family images", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Illustration", "slug": "illustration", "status": "active", "canonId": "019de52c-fe76-7772-a5ac-c0b7294d7615", "version": 1, "description": null }, "framework": null }, "subkind": "illustration", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:52.272+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "a18f0916-5801-403c-974c-3f04335a395e", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.4, "x": 0.55, "y": 0.65 }, "kind": "list", "text": "1. Shopping Lists (2014)\n2. Reorder past purchases by voice (2015)\n3. Order new items – assuming you are fine with Amazon selecting exact item (2015)", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Numbered list", "slug": "numbered", "status": "active", "canonId": "019de52c-fcc0-7718-a284-a4250c805df2", "version": 1, "description": null }, "framework": null }, "subkind": "numbered", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:52.272+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "cd10569e-e917-4eec-811e-ec0b0cbe006f", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Shopping speed: 3x", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:19+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f2c-18ed4f248800", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.9, "x": 0.05, "y": 0.15 }, "kind": "paragraph", "text": "Leveraging proliferation of microphones throughout house to reduce friction for making purchases... 3x faster to shop using microphone than to navigate menus in mobile apps...", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:52.272+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "811fb098-b4d0-4cfd-b711-ce0c6a619c69", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.9, "x": 0.05, "y": 0.92 }, "kind": "source-note", "text": "Source: Cowen & Company Internet Retail Tracker (3/16), Recode, MindMeld. Note: *Per MindMeld study comparing voice-enabled commerce to mobile commerce for the following task, \"show me men's black Adidas shoes for under $75\" - takes ~7 seconds using voice compared to ~3x longer navigating menus in an app.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:52.272+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "dd8721a9-9fcc-4494-899d-841bdeb554d3", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.6, "x": 0.05, "y": 0.05 }, "kind": "title", "text": "...Amazon Alexa Voice Platform Goal = Faster / Easier Shopping on Amazon", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:52.272+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "1c85298a-b17d-4d64-9c4c-8de7c31de157", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [ { "matchId": "b82dd902-1259-4333-9057-607ae30562dd", "evidence": "The slide describes a virtuous cycle of hardware proliferation leading to reduced friction and increased shopping frequency.", "framework": null, "confidence": 0.8, "extraction": { "at": "2026-05-02 17:38:52.272+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 131, "frameworkName": "flywheel" } ], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 134, "from": 113, "loop": { "name": "15_why_now", "slug": "15-why-now", "status": "active", "bestFor": "Sales pitches, fundraising, requesting immediate budget approval", "canonId": "019dd956-6c00-70cd-bd42-6bacc4af726f", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Context (Trends) -> The Trigger Event -> The Window of Opportunity", "description": "Create temporal urgency by proving that the window of opportunity is opening or closing", "familyLabel": null }, "matchId": "019de7d7-e22d-74be-b2d8-6f4dcc8e253a", "evidence": "p114-115 historical context, p116 'Why Now?' header, p118-120 99% accuracy threshold trigger, pp 122-134 adoption window.", "position": 9, "objective": "Argue voice as a new computing paradigm - context, accuracy trigger, opportunity window", "confidence": 82, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 132, "type": "analysis", "title": "Data source: Consumer Intelligence Research Partners (CIRP).", "function": "analyze_data", "rawType": "data_table", "block": null, "metadata": { "slideType": "data_table", "slideTypeCanon": { "name": "Data table", "slug": "data_table", "status": "active", "canonId": "019de52d-0bbd-71b9-9918-417f904abbf8", "version": 1, "description": null }, "function": "analyze_data", "functionCanon": { "name": "Analyze data", "slug": "analyze_data", "status": "active", "canonId": "019de52d-1590-7413-8c82-cc218cff40b4", "version": 1, "description": null }, "density": "dense", "densityScore": 63, "componentCount": 7, "textChars": 593, "nDataPoints": 11, "notes": "Data source: Consumer Intelligence Research Partners (CIRP).", "elementsJson": [ "headline_text", "paragraph", "bar_chart_vertical", "bar_chart_vertical" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:47.182+00", "seconds": 3.197, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/132", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-132", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "~4MM Amazon Echo devices have been sold in USA as of 3/16, with ~1MM sold in Q1:16, per CIRP estimates", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:19+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f2b-94e68bdb7f26", "parentComponentId": null }, { "bbox": { "h": 0.5, "w": 0.45, "x": 0.52, "y": 0.275 }, "kind": "chart", "text": "Amazon Customer Ownership of Amazon Devices, USA, Q1:16", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Vertical bar chart", "slug": "bar-vertical", "status": "active", "canonId": "019de52c-fe9d-70f2-b3b7-a9ae294f5917", "version": 1, "description": null }, "framework": null }, "subkind": "bar-vertical", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:47.182+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "1a7c29dd-d28c-4fd6-b2d9-b7014a62ff27", "parentComponentId": null }, { "bbox": { "h": 0.5, "w": 0.45, "x": 0.05, "y": 0.275 }, "kind": "chart", "text": "Amazon Customer Awareness of Amazon Echo, USA, Q1:15 – Q1:16", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Vertical bar chart", "slug": "bar-vertical", "status": "active", "canonId": "019de52c-fe9d-70f2-b3b7-a9ae294f5917", "version": 1, "description": null }, "framework": null }, "subkind": "bar-vertical", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:47.182+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "1e34a40c-7cba-4b4b-ad65-4ebe0ff759cb", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Customer ownership percentage: 5%", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:19+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f2b-997a0723e35a", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.9, "x": 0.05, "y": 0.16 }, "kind": "paragraph", "text": "~4MM Amazon Echo devices have been sold in USA as of 3/16, with ~1MM sold in Q1:16, per CIRP estimates", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:47.182+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "c160a115-cbdd-47df-b21b-19a43ae15fc5", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.4, "x": 0.05, "y": 0.95 }, "kind": "source-note", "text": "Source: Consumer Intelligence Research Partners (CIRP). Note: Amazon Echo limited launch occurred in 11/14 and wide-release occurred in 6/15.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:47.182+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "1f7d9c33-9917-49da-8b2f-d72fba2617c8", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.9, "x": 0.05, "y": 0.05 }, "kind": "title", "text": "~5% of Amazon USA Customers Own an Echo vs. 2% Y/Y... ~4MM Units Sold Since Launch (11/14), per CIRP", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:47.182+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "26f8c49b-d2ad-4c0e-9e54-df44bb914dad", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-f417-7018-b8ed-0747c2746917", "evidence": "5% of customers own Echo, ~4MM units sold.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 80, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 132, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." } ], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 134, "from": 113, "loop": { "name": "15_why_now", "slug": "15-why-now", "status": "active", "bestFor": "Sales pitches, fundraising, requesting immediate budget approval", "canonId": "019dd956-6c00-70cd-bd42-6bacc4af726f", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Context (Trends) -> The Trigger Event -> The Window of Opportunity", "description": "Create temporal urgency by proving that the window of opportunity is opening or closing", "familyLabel": null }, "matchId": "019de7d7-e22d-74be-b2d8-6f4dcc8e253a", "evidence": "p114-115 historical context, p116 'Why Now?' header, p118-120 99% accuracy threshold trigger, pp 122-134 adoption window.", "position": 9, "objective": "Argue voice as a new computing paradigm - context, accuracy trigger, opportunity window", "confidence": 82, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 133, "type": "setup", "title": "This is a classic 'big idea' slide often used in KPCB Internet Trends decks to frame subsequent data.", "function": "summarize", "rawType": "thesis_headline", "block": null, "metadata": { "slideType": "thesis_headline", "slideTypeCanon": { "name": "Thesis headline", "slug": "thesis_headline", "status": "active", "canonId": "019de52d-073a-70cb-b9f6-772a597bb5af", "version": 1, "description": null }, "function": "summarize", "functionCanon": { "name": "Summarize", "slug": "summarize", "status": "active", "canonId": "019de52d-1541-704f-b86f-bf7b75056373", "version": 1, "description": null }, "density": "sparse", "densityScore": 3, "componentCount": 1, "textChars": 76, "nDataPoints": 0, "notes": "This is a classic 'big idea' slide often used in KPCB Internet Trends decks to frame subsequent data.", "elementsJson": [ "headline_text" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:45.841+00", "seconds": 1.821, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/133", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-133", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.3, "w": 0.6, "x": 0.2, "y": 0.35 }, "kind": "title", "text": "Computing Industry Inflection Points = Typically Only Obvious With Hindsight", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:45.841+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "bbda1725-3d5f-4753-8117-2c9cb029d13d", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [ { "matchId": "74a3e148-598d-42e4-b4ba-dd50abe9e2ef", "evidence": "The slide explicitly references the cognitive bias of hindsight.", "framework": null, "confidence": 1, "extraction": { "at": "2026-05-02 17:38:45.841+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 133, "frameworkName": "hindsight-bias" } ], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 134, "from": 113, "loop": { "name": "15_why_now", "slug": "15-why-now", "status": "active", "bestFor": "Sales pitches, fundraising, requesting immediate budget approval", "canonId": "019dd956-6c00-70cd-bd42-6bacc4af726f", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Context (Trends) -> The Trigger Event -> The Window of Opportunity", "description": "Create temporal urgency by proving that the window of opportunity is opening or closing", "familyLabel": null }, "matchId": "019de7d7-e22d-74be-b2d8-6f4dcc8e253a", "evidence": "p114-115 historical context, p116 'Why Now?' header, p118-120 99% accuracy threshold trigger, pp 122-134 adoption window.", "position": 9, "objective": "Argue voice as a new computing paradigm - context, accuracy trigger, opportunity window", "confidence": 82, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 134, "type": "setup", "title": "The slide uses a dual-chart layout to contrast a mature product's potential decline with an emerging product's rapid growth.", "function": "compare_options", "rawType": "comparison_table", "block": null, "metadata": { "slideType": "comparison_table", "slideTypeCanon": { "name": "Comparison table", "slug": "comparison_table", "status": "active", "canonId": "019de52d-0a06-73f8-8813-fe022fab1de2", "version": 1, "description": null }, "function": "compare_options", "functionCanon": { "name": "Compare options", "slug": "compare_options", "status": "active", "canonId": "019de52d-167f-7038-aebc-70a9d2e0e33b", "version": 1, "description": null }, "density": "balanced", "densityScore": 42, "componentCount": 5, "textChars": 469, "nDataPoints": 14, "notes": "The slide uses a dual-chart layout to contrast a mature product's potential decline with an emerging product's rapid growth.", "elementsJson": [ "headline_text", "bar_chart_vertical", "bar_chart_vertical", "footnote" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:47.103+00", "seconds": 3.036, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/134", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-134", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.6, "w": 0.4, "x": 0.55, "y": 0.2 }, "kind": "chart", "text": "Estimated Amazon Echo Unit Shipments, USA, Q2:15 – Q1:16", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Vertical bar chart", "slug": "bar-vertical", "status": "active", "canonId": "019de52c-fe9d-70f2-b3b7-a9ae294f5917", "version": 1, "description": null }, "framework": null }, "subkind": "bar-vertical", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:47.103+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "01c76450-5081-4397-af2a-a551e248b956", "parentComponentId": null }, { "bbox": { "h": 0.6, "w": 0.45, "x": 0.05, "y": 0.2 }, "kind": "chart", "text": "iOS Smartphone Unit Shipments, Global, 2007 – 2016E", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Vertical bar chart", "slug": "bar-vertical", "status": "active", "canonId": "019de52c-fe9d-70f2-b3b7-a9ae294f5917", "version": 1, "description": null }, "framework": null }, "subkind": "bar-vertical", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:47.103+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "e5e8b776-9da1-4131-8ebd-77bb435c3122", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Unit Shipments: ~1MM", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:19+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f2b-c3ea7a4e48f0", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.6, "x": 0.05, "y": 0.9 }, "kind": "source-note", "text": "Source: Morgan Stanley Research (5/16), Consumer Intelligence Research Partners (CIRP), KPCB estimates. Note: Apple unit shipments shown on a calendar-year basis. Amazon Echo limited launch occurred in 11/14 and wide-release launch occurred in 6/15.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:47.103+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "9157ac31-ebf2-4877-a5b7-2da982d3929a", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.9, "x": 0.05, "y": 0.05 }, "kind": "title", "text": "iPhone Sales May Have Peaked in 2015... While Amazon Echo Device Sales Beginning to Take Off?", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:47.103+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "f1160471-6e50-4cbf-9478-cc598e68eb98", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Contrast Pairs", "slug": "contrast-pairs", "status": "active", "bestFor": null, "canonId": "019dd956-9b77-70d3-88b1-f34e26f60860", "version": 1, "bodyDocId": null, "description": "Creating tension through opposites: Before↔After, Problem↔Solution, Pain↔Relief", "familyLabel": null, "categoryName": "Loop", "categorySlug": "loop" }, "agent": "Storyteller", "layer": "loop", "agents": [ "Storyteller" ], "matchId": "019de7d7-f437-703f-a7ba-3f52e251c0df", "evidence": "iPhone peaking vs Echo taking off side by side.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 80, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 134, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Color Strategy", "slug": "color-strategy", "status": "active", "bestFor": null, "canonId": "019dd956-b202-77cf-8a6e-f445b08c0fd3", "version": 1, "bodyDocId": null, "description": "Using color for emphasis, categories, sentiment, and hierarchy", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "019de7d7-f457-74d8-af5b-f5b779cf3e6c", "evidence": "Yellow 2016E bar marks decline visually.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 134, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 134, "from": 113, "loop": { "name": "15_why_now", "slug": "15-why-now", "status": "active", "bestFor": "Sales pitches, fundraising, requesting immediate budget approval", "canonId": "019dd956-6c00-70cd-bd42-6bacc4af726f", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Context (Trends) -> The Trigger Event -> The Window of Opportunity", "description": "Create temporal urgency by proving that the window of opportunity is opening or closing", "familyLabel": null }, "matchId": "019de7d7-e22d-74be-b2d8-6f4dcc8e253a", "evidence": "p114-115 historical context, p116 'Why Now?' header, p118-120 99% accuracy threshold trigger, pp 122-134 adoption window.", "position": 9, "objective": "Argue voice as a new computing paradigm - context, accuracy trigger, opportunity window", "confidence": 82, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 135, "type": "setup", "function": "transition", "rawType": "section_divider", "block": null, "metadata": { "slideType": "section_divider", "slideTypeCanon": { "name": "Section divider", "slug": "section_divider", "status": "active", "canonId": "019de52d-066a-7402-9554-6ae504999041", "version": 1, "description": null }, "function": "transition", "functionCanon": { "name": "Transition", "slug": "transition", "status": "active", "canonId": "019de52d-1365-7149-92aa-66df859e75fd", "version": 1, "description": null }, "density": "sparse", "densityScore": 3, "componentCount": 1, "textChars": 88, "nDataPoints": 0, "notes": null, "elementsJson": [ "headline_text" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:45.73+00", "seconds": 1.451, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/135", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-135", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.5, "w": 0.8, "x": 0.1, "y": 0.25 }, "kind": "title", "text": "Re-Imagining Transportation = Another New Paradigm in Human-Computer Interaction... Cars", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:45.73+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "9cd26291-6a94-452e-8261-f55e6384a4b0", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 160, "from": 135, "loop": { "name": "21_before_after", "slug": "21-before-after", "status": "active", "bestFor": "Product demos, process improvements, ROI justification", "canonId": "019dd956-6e68-73fd-a295-fe90145c2da8", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Old Way (Pain) -> The Moment of Change -> The New Way (Glory) -> The Measurable Delta", "description": "Show the dramatic contrast between the old way and the new way through side-by-side comparison", "familyLabel": null }, "matchId": "019de7d7-e24d-70a8-94f7-9a7b22f327cb", "evidence": "p139 mechanical->computer evolution, p140 NHTSA L0->L4, p153 ownership-to-miles-driven CEO quotes, p160 'Golden Age Take Two'.", "position": 10, "objective": "Cars: from mechanical-to-computer evolution (before) to autonomous + shared-mobility future (after)", "confidence": 75, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 136, "type": "analysis", "title": "Part of the KPCB Internet Trends 2016 deck. Uses rhetorical questions to frame industry convergence.", "function": "establish_context", "rawType": "industry_trends", "block": null, "metadata": { "slideType": "industry_trends", "slideTypeCanon": { "name": "Industry trends", "slug": "industry_trends", "status": "active", "canonId": "019de52d-0b1d-7705-a0e0-c663199cd1fa", "version": 1, "description": null }, "function": "establish_context", "functionCanon": { "name": "Establish context", "slug": "establish_context", "status": "active", "canonId": "019de52d-1314-74e6-9074-d213dc0bdcdf", "version": 1, "description": null }, "density": "balanced", "densityScore": 29, "componentCount": 6, "textChars": 147, "nDataPoints": 0, "notes": "Part of the KPCB Internet Trends 2016 deck. Uses rhetorical questions to frame industry convergence.", "elementsJson": [ "headline_text", "photo" ], "confidence": 0.9, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:46.713+00", "seconds": 2.382, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/136", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-136", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.215, "w": 0.364, "x": 0.318, "y": 0.625 }, "kind": "image", "text": "Tesla Model X image", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Photo", "slug": "photo", "status": "active", "canonId": "019de52c-fd37-757f-b4a8-ca26d4888875", "version": 1, "description": null }, "framework": null }, "subkind": "photo", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:46.713+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "0f58acc3-58f3-4b91-a286-940f8e98276f", "parentComponentId": null }, { "bbox": { "h": 0.235, "w": 0.284, "x": 0.358, "y": 0.25 }, "kind": "image", "text": "iPhone image", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Photo", "slug": "photo", "status": "active", "canonId": "019de52c-fd37-757f-b4a8-ca26d4888875", "version": 1, "description": null }, "framework": null }, "subkind": "photo", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:46.713+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "65dad283-ceb2-4bbd-8ac7-c318a78f6aea", "parentComponentId": null }, { "bbox": { "h": 0.02, "w": 0.1, "x": 0.02, "y": 0.95 }, "kind": "source-note", "text": "Source: Apple, Tesla", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:46.713+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "d0486efa-2dc7-4e55-8bb2-a5d48273c388", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.5, "x": 0.25, "y": 0.185 }, "kind": "title", "text": "Is it a Phone...Is it a Camera?", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:46.713+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "056fe888-d8da-4e1a-acd9-f814f75f8e73", "parentComponentId": null }, { "bbox": { "h": 0.06, "w": 0.48, "x": 0.02, "y": 0.03 }, "kind": "title", "text": "Is it a Car...Is it a Computer?...", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:46.713+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "6288cbf9-d930-4d2c-8ec2-6a9ef35ff50d", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.5, "x": 0.25, "y": 0.55 }, "kind": "title", "text": "Is it a Car...Is it a Computer?", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:46.713+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "97ed9e2f-e95f-4aeb-b8a8-3a86dbca0ac4", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 160, "from": 135, "loop": { "name": "21_before_after", "slug": "21-before-after", "status": "active", "bestFor": "Product demos, process improvements, ROI justification", "canonId": "019dd956-6e68-73fd-a295-fe90145c2da8", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Old Way (Pain) -> The Moment of Change -> The New Way (Glory) -> The Measurable Delta", "description": "Show the dramatic contrast between the old way and the new way through side-by-side comparison", "familyLabel": null }, "matchId": "019de7d7-e24d-70a8-94f7-9a7b22f327cb", "evidence": "p139 mechanical->computer evolution, p140 NHTSA L0->L4, p153 ownership-to-miles-driven CEO quotes, p160 'Golden Age Take Two'.", "position": 10, "objective": "Cars: from mechanical-to-computer evolution (before) to autonomous + shared-mobility future (after)", "confidence": 75, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 137, "type": "evidence", "title": "Part of KPCB Internet Trends 2016 deck.", "function": "illustrate_case", "rawType": "client_example", "block": null, "metadata": { "slideType": "client_example", "slideTypeCanon": { "name": "Client example", "slug": "client_example", "status": "active", "canonId": "019de52d-0c87-77cb-9867-613ae22e95ac", "version": 1, "description": null }, "function": "illustrate_case", "functionCanon": { "name": "Illustrate case", "slug": "illustrate_case", "status": "active", "canonId": "019de52d-13b4-772c-bb73-1873612a7463", "version": 1, "description": null }, "density": "sparse", "densityScore": 16, "componentCount": 4, "textChars": 199, "nDataPoints": 0, "notes": "Part of KPCB Internet Trends 2016 deck.", "elementsJson": [ "headline_text", "screenshot", "photo" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:47.326+00", "seconds": 2.84, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/137", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-137", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.25, "w": 0.35, "x": 0.325, "y": 0.548 }, "kind": "image", "text": "Apple Watch on wrist showing Summon feature", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Photo", "slug": "photo", "status": "active", "canonId": "019de52c-fd37-757f-b4a8-ca26d4888875", "version": 1, "description": null }, "framework": null }, "subkind": "photo", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:47.326+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "32bed041-f836-4a05-bec5-d221cfb2f843", "parentComponentId": null }, { "bbox": { "h": 0.25, "w": 0.52, "x": 0.24, "y": 0.24 }, "kind": "image", "text": "Five Apple Watch screens showing Tesla app interfaces", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Screenshot", "slug": "screenshot", "status": "active", "canonId": "019de52c-fd87-7509-8391-3d79fb339379", "version": 1, "description": null }, "framework": null }, "subkind": "screenshot", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:47.326+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "0a28022c-04d0-4c57-b5ac-2675633cf6aa", "parentComponentId": null }, { "bbox": { "h": 0.02, "w": 0.2, "x": 0.1, "y": 0.95 }, "kind": "source-note", "text": "Source: Tesla, The Verge, Redmond Pie", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:47.326+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "dbf12b52-ffa3-4290-a759-b1e6ad9b0132", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.9, "x": 0.02, "y": 0.02 }, "kind": "title", "text": "...One Can... Lock / Monitor / Summon One's Tesla from One's Wrist", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:47.326+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "f4305563-57bd-482b-8918-e20490c22267", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 160, "from": 135, "loop": { "name": "21_before_after", "slug": "21-before-after", "status": "active", "bestFor": "Product demos, process improvements, ROI justification", "canonId": "019dd956-6e68-73fd-a295-fe90145c2da8", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Old Way (Pain) -> The Moment of Change -> The New Way (Glory) -> The Measurable Delta", "description": "Show the dramatic contrast between the old way and the new way through side-by-side comparison", "familyLabel": null }, "matchId": "019de7d7-e24d-70a8-94f7-9a7b22f327cb", "evidence": "p139 mechanical->computer evolution, p140 NHTSA L0->L4, p153 ownership-to-miles-driven CEO quotes, p160 'Golden Age Take Two'.", "position": 10, "objective": "Cars: from mechanical-to-computer evolution (before) to autonomous + shared-mobility future (after)", "confidence": 75, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 138, "type": "setup", "function": "transition", "rawType": "transition", "block": null, "metadata": { "slideType": "transition", "slideTypeCanon": { "name": "Transition", "slug": "transition", "status": "active", "canonId": "019de52d-0693-7766-9f05-887f41f8e41e", "version": 1, "description": null }, "function": "transition", "functionCanon": { "name": "Transition", "slug": "transition", "status": "active", "canonId": "019de52d-1365-7149-92aa-66df859e75fd", "version": 1, "description": null }, "density": "sparse", "densityScore": 2, "componentCount": 1, "textChars": 53, "nDataPoints": 0, "notes": null, "elementsJson": [ "headline_text" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:48.506+00", "seconds": 3.979, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/138", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-138", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.2, "w": 0.7, "x": 0.15, "y": 0.4 }, "kind": "title", "text": "Car Industry Evolution = Computerization Accelerating", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:48.506+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "56869494-9b30-4847-aafb-a630d6c1f07f", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 160, "from": 135, "loop": { "name": "21_before_after", "slug": "21-before-after", "status": "active", "bestFor": "Product demos, process improvements, ROI justification", "canonId": "019dd956-6e68-73fd-a295-fe90145c2da8", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Old Way (Pain) -> The Moment of Change -> The New Way (Glory) -> The Measurable Delta", "description": "Show the dramatic contrast between the old way and the new way through side-by-side comparison", "familyLabel": null }, "matchId": "019de7d7-e24d-70a8-94f7-9a7b22f327cb", "evidence": "p139 mechanical->computer evolution, p140 NHTSA L0->L4, p153 ownership-to-miles-driven CEO quotes, p160 'Golden Age Take Two'.", "position": 10, "objective": "Cars: from mechanical-to-computer evolution (before) to autonomous + shared-mobility future (after)", "confidence": 75, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 139, "type": "analysis", "title": "Part of KPCB Internet Trends 2016 deck.", "function": "establish_context", "rawType": "industry_trends", "block": null, "metadata": { "slideType": "industry_trends", "slideTypeCanon": { "name": "Industry trends", "slug": "industry_trends", "status": "active", "canonId": "019de52d-0b1d-7705-a0e0-c663199cd1fa", "version": 1, "description": null }, "function": "establish_context", "functionCanon": { "name": "Establish context", "slug": "establish_context", "status": "active", "canonId": "019de52d-1314-74e6-9074-d213dc0bdcdf", "version": 1, "description": null }, "density": "overcrowded", "densityScore": 85, "componentCount": 17, "textChars": 1141, "nDataPoints": 0, "notes": "Part of KPCB Internet Trends 2016 deck.", "elementsJson": [ "headline_text", "bullet_list", "photo" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:56.023+00", "seconds": 11.436, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/139", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-139", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "Today = Complex Computing; Up to 100 Electronic Control Units / car...", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:19+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f2b-de52958a887d", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.96, "x": 0.02, "y": 0.95 }, "kind": "disclaimer", "text": "Source: KPCB Internet Trends 2016", "attrs": null, "canon": { "kind": { "name": "Disclaimer", "slug": "disclaimer", "status": "active", "canonId": "91173477-d91f-4024-bbaf-d4f93e3f82dc", "version": 1, "description": "Legal/cautionary text that occupies most of the body of its slide." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:56.023+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "eb8fb186-0422-42ad-999b-5250d06c1241", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.15, "x": 0.3, "y": 0.0015 }, "kind": "image", "text": null, "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Illustration", "slug": "illustration", "status": "active", "canonId": "019de52c-fe76-7772-a5ac-c0b7294d7615", "version": 1, "description": null }, "framework": null }, "subkind": "illustration", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:56.023+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "2be60989-2716-4f8a-ac94-be95b0ee153c", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.15, "x": 0.3, "y": 0.0075 }, "kind": "image", "text": null, "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Illustration", "slug": "illustration", "status": "active", "canonId": "019de52c-fe76-7772-a5ac-c0b7294d7615", "version": 1, "description": null }, "framework": null }, "subkind": "illustration", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:56.023+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "3e6810af-0137-4bd5-9d4c-57fc0a6b22b2", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.15, "x": 0.3, "y": 0.0055 }, "kind": "image", "text": null, "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Illustration", "slug": "illustration", "status": "active", "canonId": "019de52c-fe76-7772-a5ac-c0b7294d7615", "version": 1, "description": null }, "framework": null }, "subkind": "illustration", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:56.023+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "44aa9dc2-b989-4189-bea3-84472e711538", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.15, "x": 0.75, "y": 0.0015 }, "kind": "image", "text": null, "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Illustration", "slug": "illustration", "status": "active", "canonId": "019de52c-fe76-7772-a5ac-c0b7294d7615", "version": 1, "description": null }, "framework": null }, "subkind": "illustration", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:56.023+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "69a632b0-9fed-48cc-88f3-5c6b7fb14aca", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.15, "x": 0.75, "y": 0.0045 }, "kind": "image", "text": null, "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Illustration", "slug": "illustration", "status": "active", "canonId": "019de52c-fe76-7772-a5ac-c0b7294d7615", "version": 1, "description": null }, "framework": null }, "subkind": "illustration", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:56.023+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "7d3084ca-3bb5-487e-9647-bd0d638b76b6", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.15, "x": 0.75, "y": 0.0075 }, "kind": "image", "text": null, "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Illustration", "slug": "illustration", "status": "active", "canonId": "019de52c-fe76-7772-a5ac-c0b7294d7615", "version": 1, "description": null }, "framework": null }, "subkind": "illustration", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:56.023+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "ae6af118-8190-410f-8eef-d4787f37b16a", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.15, "x": 0.3, "y": 0.0035 }, "kind": "image", "text": null, "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Illustration", "slug": "illustration", "status": "active", "canonId": "019de52c-fe76-7772-a5ac-c0b7294d7615", "version": 1, "description": null }, "framework": null }, "subkind": "illustration", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:56.023+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "b4d2979f-d68d-40cc-8d3a-9f5ad6ff879c", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.3, "x": 0.55, "y": 0.0015 }, "kind": "list", "text": "Today = Complex Computing. Up to 100 Electronic Control Units / car... Multiple bus networks per car (CAN / LIN / FlexRay / MOST)... Drive by Wire...", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Timeline item", "slug": "timeline-item", "status": "active", "canonId": "019de52c-fd0e-74ce-9443-440fbd8c23b4", "version": 1, "description": null }, "framework": null }, "subkind": "timeline-item", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:56.023+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "34239016-793e-443d-b26f-170cb1734248", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.3, "x": 0.55, "y": 0.0065 }, "kind": "list", "text": "Tomorrow = Computers Go Mobile?... Central hub / decentralized systems? LIDAR... Vehicle-to-Vehicle (V2V) / Vehicle-to-Infrastructure (V2I) / 5G... Security software...", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Timeline item", "slug": "timeline-item", "status": "active", "canonId": "019de52c-fd0e-74ce-9443-440fbd8c23b4", "version": 1, "description": null }, "framework": null }, "subkind": "timeline-item", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:56.023+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "7ec85cac-2d2a-4537-86c9-0d0b639cf6dd", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.3, "x": 0.05, "y": 0.0075 }, "kind": "list", "text": "1990s-2010s: Feature-Built Computing + Early Connectivity. Automatic cruise control... Infotainment... Telematics... GPS / Mapping...", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Timeline item", "slug": "timeline-item", "status": "active", "canonId": "019de52c-fd0e-74ce-9443-440fbd8c23b4", "version": 1, "description": null }, "framework": null }, "subkind": "timeline-item", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:56.023+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "975f34e2-8363-4e60-8d96-66339c36e834", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.3, "x": 0.05, "y": 0.0015 }, "kind": "list", "text": "Pre-1980s: Analog / Mechanical. Used switches / wiring to route feature controls to driver.", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Timeline item", "slug": "timeline-item", "status": "active", "canonId": "019de52c-fd0e-74ce-9443-440fbd8c23b4", "version": 1, "description": null }, "framework": null }, "subkind": "timeline-item", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:56.023+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "c632aef8-6ba4-410f-90d1-cb06a2cd8c87", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.3, "x": 0.55, "y": 0.0045 }, "kind": "list", "text": "Today = Smart / Connected Cars. Embedded / tethered connectivity... Big Tech = New Tier 1 auto supplier (CarPlay / Android Auto)...", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Timeline item", "slug": "timeline-item", "status": "active", "canonId": "019de52c-fd0e-74ce-9443-440fbd8c23b4", "version": 1, "description": null }, "framework": null }, "subkind": "timeline-item", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:56.023+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "e90db351-a607-4977-a77d-b30f63838ee8", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.3, "x": 0.05, "y": 0.0035 }, "kind": "list", "text": "1980s (to Present): CAN Bus (Integrated Network). New regulatory standards drove need to monitor emissions in real time, hence central computer.", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Timeline item", "slug": "timeline-item", "status": "active", "canonId": "019de52c-fd0e-74ce-9443-440fbd8c23b4", "version": 1, "description": null }, "framework": null }, "subkind": "timeline-item", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:56.023+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "e974e959-3918-4ca8-9e39-1277aa2abf1c", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.3, "x": 0.05, "y": 0.0055 }, "kind": "list", "text": "1990s (to Present): OBD (On-Board Diagnostics) II. Monitor / report engine performance; Required in all USA cars post-1996.", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Timeline item", "slug": "timeline-item", "status": "active", "canonId": "019de52c-fd0e-74ce-9443-440fbd8c23b4", "version": 1, "description": null }, "framework": null }, "subkind": "timeline-item", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:56.023+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "fcc41410-d0bd-4ec0-871f-7ff3d01cb720", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.96, "x": 0.02, "y": 0.02 }, "kind": "title", "text": "Car Computing Evolution Since Pre-1980s = Mechanical / Electrical -> Simple Processors -> Computers", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:56.023+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "00001479-b8b7-46e3-8079-8005909cc384", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Causal Chain", "slug": "causal-chain", "status": "active", "bestFor": null, "canonId": "019dd956-9e98-7269-907b-8cf727e9499d", "version": 1, "bodyDocId": null, "description": "Showing how one event leads to another in sequence", "familyLabel": null, "categoryName": "Loop", "categorySlug": "loop" }, "agent": "Architect", "layer": "loop", "agents": [ "Architect" ], "matchId": "019de7d7-f476-727e-9704-3e5511efce74", "evidence": "Mechanical -> simple processors -> computers progression.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 139, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 160, "from": 135, "loop": { "name": "21_before_after", "slug": "21-before-after", "status": "active", "bestFor": "Product demos, process improvements, ROI justification", "canonId": "019dd956-6e68-73fd-a295-fe90145c2da8", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Old Way (Pain) -> The Moment of Change -> The New Way (Glory) -> The Measurable Delta", "description": "Show the dramatic contrast between the old way and the new way through side-by-side comparison", "familyLabel": null }, "matchId": "019de7d7-e24d-70a8-94f7-9a7b22f327cb", "evidence": "p139 mechanical->computer evolution, p140 NHTSA L0->L4, p153 ownership-to-miles-driven CEO quotes, p160 'Golden Age Take Two'.", "position": 10, "objective": "Cars: from mechanical-to-computer evolution (before) to autonomous + shared-mobility future (after)", "confidence": 75, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 140, "type": "setup", "title": "The slide uses a standard industry maturity model for autonomous vehicles.", "function": "present_framework", "rawType": "maturity_model", "block": null, "metadata": { "slideType": "maturity_model", "slideTypeCanon": null, "function": "present_framework", "functionCanon": { "name": "Present framework", "slug": "present_framework", "status": "active", "canonId": "019de52d-1403-7667-9100-d2ac6709f750", "version": 1, "description": null }, "density": "sparse", "densityScore": 16, "componentCount": 3, "textChars": 297, "nDataPoints": 0, "notes": "The slide uses a standard industry maturity model for autonomous vehicles.", "elementsJson": [ "headline_text", "action_title", "comparison_table" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:47.248+00", "seconds": 2.641, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/140", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-140", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.75, "w": 0.95, "x": 0.03, "y": 0.15 }, "kind": "framework", "text": "NHTSA – Automated Driving System Classifications", "attrs": null, "canon": { "kind": { "name": "Framework", "slug": "framework", "status": "active", "canonId": "019de52c-fa18-77c6-b10a-ccb8277ac0fa", "version": 1, "description": "Named conceptual framework instance." }, "tool": null, "subkind": { "name": "Framework instance", "slug": "instance", "status": "active", "canonId": "019de52d-05a2-72af-be0b-7edc60708a03", "version": 1, "description": null }, "framework": null }, "subkind": "instance", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:47.248+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "f1f8de33-e1bf-45c5-8adf-3c9e86320f70", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.5, "x": 0.1, "y": 0.95 }, "kind": "source-note", "text": "Source: National Highway Traffic Safety Administration, \"Policy on Automated Vehicle Deployment\" (5/2013), Tesla, General Motors, Google, media reports", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:47.248+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "2302fc06-29ef-4030-aca5-c8e25f80ed9a", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.9, "x": 0.02, "y": 0.02 }, "kind": "title", "text": "Car Automation Accuracy / Safety Improvements = Accelerating... Early Innings of Level 2 / Level 3", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:47.248+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "1a27e52c-c888-417b-8b9e-e01d8c6b89a3", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-f495-77d8-8135-6dfa3d040023", "evidence": "'Early innings of L2/L3' is the so-what.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 80, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 140, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." }, { "tool": { "name": "Chart Selection Guide", "slug": "chart-selection-guide", "status": "active", "bestFor": null, "canonId": "019dd956-b1a0-700b-ba17-0e16c4d5bcae", "version": 1, "bodyDocId": null, "description": "Choosing the right chart type for your data and message", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "019de7d7-f4b5-732b-87b3-51d9e4715553", "evidence": "Tabular L0-L4 maturity ladder.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 140, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [ { "matchId": "b3c697fb-ce96-4835-a525-1c6935c1772f", "evidence": "NHTSA classification of automation levels L0-L4", "framework": null, "confidence": 1, "extraction": { "at": "2026-05-02 17:38:47.248+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 140, "frameworkName": "maturity-model" }, { "matchId": "019de7d7-fdcd-72bd-86c5-6d67af5b1d8b", "evidence": "L0->L4 maturity ladder with descriptions, examples, dates.", "framework": null, "confidence": 90, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 140, "frameworkName": "NHTSA Automated Driving Levels (L0-L4)" } ], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 160, "from": 135, "loop": { "name": "21_before_after", "slug": "21-before-after", "status": "active", "bestFor": "Product demos, process improvements, ROI justification", "canonId": "019dd956-6e68-73fd-a295-fe90145c2da8", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Old Way (Pain) -> The Moment of Change -> The New Way (Glory) -> The Measurable Delta", "description": "Show the dramatic contrast between the old way and the new way through side-by-side comparison", "familyLabel": null }, "matchId": "019de7d7-e24d-70a8-94f7-9a7b22f327cb", "evidence": "p139 mechanical->computer evolution, p140 NHTSA L0->L4, p153 ownership-to-miles-driven CEO quotes, p160 'Golden Age Take Two'.", "position": 10, "objective": "Cars: from mechanical-to-computer evolution (before) to autonomous + shared-mobility future (after)", "confidence": 75, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 141, "type": "setup", "title": "The slide uses a comparison frame to contrast Google's Level 3/4 approach with Tesla's Level 2 fleet learning approach.", "function": "compare_options", "rawType": "comparison_table", "block": null, "metadata": { "slideType": "comparison_table", "slideTypeCanon": { "name": "Comparison table", "slug": "comparison_table", "status": "active", "canonId": "019de52d-0a06-73f8-8813-fe022fab1de2", "version": 1, "description": null }, "function": "compare_options", "functionCanon": { "name": "Compare options", "slug": "compare_options", "status": "active", "canonId": "019de52d-167f-7038-aebc-70a9d2e0e33b", "version": 1, "description": null }, "density": "dense", "densityScore": 70, "componentCount": 10, "textChars": 468, "nDataPoints": 2, "notes": "The slide uses a comparison frame to contrast Google's Level 3/4 approach with Tesla's Level 2 fleet learning approach.", "elementsJson": [ "headline_text", "photo", "paragraph" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:47.563+00", "seconds": 2.845, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/141", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-141", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "Tesla customers have driven 100 million miles with Autopilot active", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:21+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f2d-11a216df705e", "parentComponentId": null }, { "bbox": { "h": 0.33, "w": 0.37, "x": 0.54, "y": 0.25 }, "kind": "image", "text": "Tesla fleet learning visualization", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Photo", "slug": "photo", "status": "active", "canonId": "019de52c-fd37-757f-b4a8-ca26d4888875", "version": 1, "description": null }, "framework": null }, "subkind": "photo", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:47.563+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "4002b3a1-ffd0-41cd-9a32-a6fc3d6dcb3d", "parentComponentId": null }, { "bbox": { "h": 0.33, "w": 0.33, "x": 0.09, "y": 0.25 }, "kind": "image", "text": "Google autonomous vehicle", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Photo", "slug": "photo", "status": "active", "canonId": "019de52c-fd37-757f-b4a8-ca26d4888875", "version": 1, "description": null }, "framework": null }, "subkind": "photo", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:47.563+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "db5d2249-ae8e-4189-8dd3-bc93e95a9452", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.33, "x": 0.09, "y": 0.73 }, "kind": "list", "text": "We've self-driven more than 1.5 million miles", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:47.563+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "431b9146-c968-4b3c-ab68-443bb5f14524", "parentComponentId": null }, { "bbox": { "h": 0.06, "w": 0.37, "x": 0.54, "y": 0.7 }, "kind": "list", "text": "Tesla customers have driven 100 million miles with Autopilot active", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:47.563+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "b0ac3bf7-b550-4be4-8653-8f988e9cf093", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Miles driven: 100 million", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:21+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f2d-16622296a921", "parentComponentId": null }, { "bbox": { "h": 0.04, "w": 0.25, "x": 0.6, "y": 0.17 }, "kind": "paragraph", "text": "Tesla (Level 2 Autonomy)", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:47.563+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "59dc4190-7815-48e5-90b8-667aa889fb61", "parentComponentId": null }, { "bbox": { "h": 0.04, "w": 0.31, "x": 0.1, "y": 0.17 }, "kind": "paragraph", "text": "Google (Level 3 / 4 Autonomy)", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:47.563+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "5af9be09-8a40-4b4f-94b9-67f4ebb3cc7c", "parentComponentId": null }, { "bbox": { "h": 0.02, "w": 0.33, "x": 0.1, "y": 0.94 }, "kind": "source-note", "text": "Source: Google, Tesla, Steve Jurvetson, EmTech Conference, The Verge", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:47.563+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "d13ed859-3206-4ca6-8f54-f1dfe5743cbf", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.96, "x": 0.02, "y": 0.02 }, "kind": "title", "text": "Early Autonomous / ADAS Features Continue to Improve = Miles Driven Continue to Rise", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:47.563+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "781303df-1ef0-4f13-83f1-14511cf61167", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [ { "matchId": "77f2bd86-1f7d-4802-8544-9f373a0056d8", "evidence": "The slide explicitly compares two different companies and their respective autonomous driving levels and metrics.", "framework": null, "confidence": 0.9, "extraction": { "at": "2026-05-02 17:38:47.563+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 141, "frameworkName": "comparison_frame" } ], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 160, "from": 135, "loop": { "name": "21_before_after", "slug": "21-before-after", "status": "active", "bestFor": "Product demos, process improvements, ROI justification", "canonId": "019dd956-6e68-73fd-a295-fe90145c2da8", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Old Way (Pain) -> The Moment of Change -> The New Way (Glory) -> The Measurable Delta", "description": "Show the dramatic contrast between the old way and the new way through side-by-side comparison", "familyLabel": null }, "matchId": "019de7d7-e24d-70a8-94f7-9a7b22f327cb", "evidence": "p139 mechanical->computer evolution, p140 NHTSA L0->L4, p153 ownership-to-miles-driven CEO quotes, p160 'Golden Age Take Two'.", "position": 10, "objective": "Cars: from mechanical-to-computer evolution (before) to autonomous + shared-mobility future (after)", "confidence": 75, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 142, "type": "setup", "title": "The slide uses a binary comparison framework to contrast two distinct strategic approaches in the automotive industry.", "function": "compare_options", "rawType": "comparison_table", "block": null, "metadata": { "slideType": "comparison_table", "slideTypeCanon": { "name": "Comparison table", "slug": "comparison_table", "status": "active", "canonId": "019de52d-0a06-73f8-8813-fe022fab1de2", "version": 1, "description": null }, "function": "compare_options", "functionCanon": { "name": "Compare options", "slug": "compare_options", "status": "active", "canonId": "019de52d-167f-7038-aebc-70a9d2e0e33b", "version": 1, "description": null }, "density": "dense", "densityScore": 56, "componentCount": 6, "textChars": 952, "nDataPoints": 0, "notes": "The slide uses a binary comparison framework to contrast two distinct strategic approaches in the automotive industry.", "elementsJson": [ "headline_text", "bullet_list", "logo_grid" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:48.492+00", "seconds": 3.421, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/142", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-142", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.6, "w": 0.4, "x": 0.05, "y": 0.3 }, "kind": "list", "text": "Design & build vehicles from day one with goal of full autonomy; Craft architectures / systems for end product needs and with full fleet in mind; Adapt testing environments to needs; Solves potentially dangerous middle layer of semi-autonomy; Need very specific environments and regulation; Potentially difficult to scale; Key Example: Google", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:48.492+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "4f1b41f8-4b75-446c-ab41-1c024392826a", "parentComponentId": null }, { "bbox": { "h": 0.6, "w": 0.4, "x": 0.55, "y": 0.3 }, "kind": "list", "text": "Roll out / upgrade autonomous features in current automotive context; Solves issue of integrating autonomy into existing asset base; Real-time, in-field updates & improvements; Semi-autonomous stages require potentially dangerous resumption of driver control; OEM production cycles sometimes long; Key Example: Tesla", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:48.492+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "a93821d4-4ef6-4c4c-a4b2-d645f2f28354", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.4, "x": 0.05, "y": 0.15 }, "kind": "list", "text": "All New = Top-Down, Fully Autonomous Vehicles", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Comparison list", "slug": "comparison", "status": "active", "canonId": "019de52c-fce7-733e-99d3-030a104727bf", "version": 1, "description": null }, "framework": null }, "subkind": "comparison", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:48.492+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "bc2ccc74-4c33-465c-9cbb-f8dfc7aa11c9", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.4, "x": 0.55, "y": 0.15 }, "kind": "list", "text": "Assimilation = Gradual Rollout / Mixed-Fleet Environments", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Comparison list", "slug": "comparison", "status": "active", "canonId": "019de52c-fce7-733e-99d3-030a104727bf", "version": 1, "description": null }, "framework": null }, "subkind": "comparison", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:48.492+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "c4603af0-f8a1-4070-bea6-c36479936da0", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.4, "x": 0.1, "y": 0.95 }, "kind": "source-note", "text": "Source: Google, Tesla, Morgan Stanley Research, Reilly Brennan (Stanford)", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:48.492+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "842be0a9-40fc-41f6-bff9-25ff39268946", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.96, "x": 0.02, "y": 0.02 }, "kind": "title", "text": "Primary Approaches to Autonomous Vehicle Rollouts = All New or Assimilation...Traditional OEMs Taking Combined Approach", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:48.492+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "96585842-70a2-41d9-af3b-3caf98101e3b", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Contrast Pairs", "slug": "contrast-pairs", "status": "active", "bestFor": null, "canonId": "019dd956-9b77-70d3-88b1-f34e26f60860", "version": 1, "bodyDocId": null, "description": "Creating tension through opposites: Before↔After, Problem↔Solution, Pain↔Relief", "familyLabel": null, "categoryName": "Loop", "categorySlug": "loop" }, "agent": "Storyteller", "layer": "loop", "agents": [ "Storyteller" ], "matchId": "019de7d7-f4d6-73de-9f20-b658836a73ff", "evidence": "All-new (Google) vs Assimilation (Tesla) split.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 142, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [ { "matchId": "b4373078-9b23-4755-8120-a6bce2c976ef", "evidence": "The slide explicitly compares two strategic approaches using a side-by-side list format.", "framework": null, "confidence": 1, "extraction": { "at": "2026-05-02 17:38:48.492+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 142, "frameworkName": "comparison-frame" }, { "matchId": "019de7d7-fe35-72cd-8d44-b215f64a6e8a", "evidence": "Two-strategy comparison split.", "framework": null, "confidence": 55, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 142, "frameworkName": "Strategic options matrix (All-New vs Assimilation)" } ], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 160, "from": 135, "loop": { "name": "21_before_after", "slug": "21-before-after", "status": "active", "bestFor": "Product demos, process improvements, ROI justification", "canonId": "019dd956-6e68-73fd-a295-fe90145c2da8", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Old Way (Pain) -> The Moment of Change -> The New Way (Glory) -> The Measurable Delta", "description": "Show the dramatic contrast between the old way and the new way through side-by-side comparison", "familyLabel": null }, "matchId": "019de7d7-e24d-70a8-94f7-9a7b22f327cb", "evidence": "p139 mechanical->computer evolution, p140 NHTSA L0->L4, p153 ownership-to-miles-driven CEO quotes, p160 'Golden Age Take Two'.", "position": 10, "objective": "Cars: from mechanical-to-computer evolution (before) to autonomous + shared-mobility future (after)", "confidence": 75, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 143, "type": "setup", "function": "transition", "rawType": "section_divider", "block": null, "metadata": { "slideType": "section_divider", "slideTypeCanon": { "name": "Section divider", "slug": "section_divider", "status": "active", "canonId": "019de52d-066a-7402-9554-6ae504999041", "version": 1, "description": null }, "function": "transition", "functionCanon": { "name": "Transition", "slug": "transition", "status": "active", "canonId": "019de52d-1365-7149-92aa-66df859e75fd", "version": 1, "description": null }, "density": "sparse", "densityScore": 2, "componentCount": 1, "textChars": 67, "nDataPoints": 0, "notes": null, "elementsJson": [ "headline_text" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:47.048+00", "seconds": 1.6, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/143", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-143", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.2, "w": 0.6, "x": 0.2, "y": 0.4 }, "kind": "title", "text": "Car Industry Evolution = Driven by Innovation... USA Led...USA Fell", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:47.048+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "537fcc37-32c4-46a9-9fa4-435300ab9b16", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 160, "from": 135, "loop": { "name": "21_before_after", "slug": "21-before-after", "status": "active", "bestFor": "Product demos, process improvements, ROI justification", "canonId": "019dd956-6e68-73fd-a295-fe90145c2da8", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Old Way (Pain) -> The Moment of Change -> The New Way (Glory) -> The Measurable Delta", "description": "Show the dramatic contrast between the old way and the new way through side-by-side comparison", "familyLabel": null }, "matchId": "019de7d7-e24d-70a8-94f7-9a7b22f327cb", "evidence": "p139 mechanical->computer evolution, p140 NHTSA L0->L4, p153 ownership-to-miles-driven CEO quotes, p160 'Golden Age Take Two'.", "position": 10, "objective": "Cars: from mechanical-to-computer evolution (before) to autonomous + shared-mobility future (after)", "confidence": 75, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 144, "type": "analysis", "title": "The slide uses a chronological timeline structure divided into four distinct eras.", "function": "establish_context", "rawType": "industry_trends", "block": null, "metadata": { "slideType": "industry_trends", "slideTypeCanon": { "name": "Industry trends", "slug": "industry_trends", "status": "active", "canonId": "019de52d-0b1d-7705-a0e0-c663199cd1fa", "version": 1, "description": null }, "function": "establish_context", "functionCanon": { "name": "Establish context", "slug": "establish_context", "status": "active", "canonId": "019de52d-1314-74e6-9074-d213dc0bdcdf", "version": 1, "description": null }, "density": "balanced", "densityScore": 46, "componentCount": 4, "textChars": 791, "nDataPoints": 15, "notes": "The slide uses a chronological timeline structure divided into four distinct eras.", "elementsJson": [ "headline_text", "icon_grid", "photo", "infographic" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:48.698+00", "seconds": 3.11, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/144", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-144", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.75, "w": 0.96, "x": 0.02, "y": 0.15 }, "kind": "diagram", "text": "Four columns representing historical eras: Early Innovation, Streamlining, Modernization, and Re-Imagining Cars.", "attrs": null, "canon": { "kind": { "name": "Diagram", "slug": "diagram", "status": "active", "canonId": "019de52c-f9f0-734a-81de-15382ff28c65", "version": 1, "description": "Schematic or relational diagram." }, "tool": null, "subkind": { "name": "Timeline", "slug": "timeline", "status": "active", "canonId": "019de52d-03c5-73fc-84aa-4180cbf0f5cf", "version": 1, "description": null }, "framework": null }, "subkind": "timeline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:48.698+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "41630846-1bb3-4840-9b4c-9c831e83e3db", "parentComponentId": null }, { "bbox": { "h": 0.6, "w": 0.9, "x": 0.05, "y": 0.25 }, "kind": "image", "text": "Historical photos and logos representing automotive milestones.", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Illustration", "slug": "illustration", "status": "active", "canonId": "019de52c-fe76-7772-a5ac-c0b7294d7615", "version": 1, "description": null }, "framework": null }, "subkind": "illustration", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:48.698+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "34ea1081-b10b-41e8-ad3c-b282c3edfe2c", "parentComponentId": null }, { "bbox": { "h": 0.06, "w": 0.65, "x": 0.1, "y": 0.92 }, "kind": "source-note", "text": "Source: KPCB Green Investing Team, Reilly Brennan (Stanford), Piero Scaruffi, Inventors.About.com, International Energy Agency, Joe DeSousa, Popular Science, Franz Haag, Harry Shipler / Utah State Historical Society, National Archives, texasescapes.com, Federal Highway Administration, Matthew Brown, Forbes, Grossman Publishers, NY Times, Energy Transition, UVA Miller Center for Public Affairs, The Detroit Bureau, SAIC Motor Corporation, Hyundai Motor Company, Kia Motors, Toyota Motor Corporation, DARPA, Chris Urmson / Carnegie Mellon,", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:48.698+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "1d366186-2d47-45ac-9009-caf07289fbbd", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.6, "x": 0.02, "y": 0.02 }, "kind": "title", "text": "Car Industry Evolution, 1760s – Today = Driven by Innovation + Globalization", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:48.698+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "054d7259-8941-41be-ae7b-cae1af3044ea", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [ { "matchId": "70e88210-7f71-4ebb-bc25-4d70faa23dad", "evidence": "Chronological progression of industry events across four distinct eras.", "framework": null, "confidence": 1, "extraction": { "at": "2026-05-02 17:38:48.698+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 144, "frameworkName": "timeline" } ], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 160, "from": 135, "loop": { "name": "21_before_after", "slug": "21-before-after", "status": "active", "bestFor": "Product demos, process improvements, ROI justification", "canonId": "019dd956-6e68-73fd-a295-fe90145c2da8", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Old Way (Pain) -> The Moment of Change -> The New Way (Glory) -> The Measurable Delta", "description": "Show the dramatic contrast between the old way and the new way through side-by-side comparison", "familyLabel": null }, "matchId": "019de7d7-e24d-70a8-94f7-9a7b22f327cb", "evidence": "p139 mechanical->computer evolution, p140 NHTSA L0->L4, p153 ownership-to-miles-driven CEO quotes, p160 'Golden Age Take Two'.", "position": 10, "objective": "Cars: from mechanical-to-computer evolution (before) to autonomous + shared-mobility future (after)", "confidence": 75, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 145, "type": "analysis", "title": "The chart illustrates the transition from US dominance to a more fragmented global production landscape.", "function": "analyze_data", "rawType": "industry_trends", "block": null, "metadata": { "slideType": "industry_trends", "slideTypeCanon": { "name": "Industry trends", "slug": "industry_trends", "status": "active", "canonId": "019de52d-0b1d-7705-a0e0-c663199cd1fa", "version": 1, "description": null }, "function": "analyze_data", "functionCanon": { "name": "Analyze data", "slug": "analyze_data", "status": "active", "canonId": "019de52d-1590-7413-8c82-cc218cff40b4", "version": 1, "description": null }, "density": "balanced", "densityScore": 29, "componentCount": 4, "textChars": 322, "nDataPoints": 14, "notes": "The chart illustrates the transition from US dominance to a more fragmented global production landscape.", "elementsJson": [ "headline_text", "area_chart", "footnote" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:47.777+00", "seconds": 2.142, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/145", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-145", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.6, "w": 0.8, "x": 0.1, "y": 0.2 }, "kind": "chart", "text": "Annual Light Vehicle Production, By Region, 1950 – 2014", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Stacked area chart", "slug": "area-stacked", "status": "active", "canonId": "019de52c-ffb1-75fa-a614-76782f418cf1", "version": 1, "description": null }, "framework": null }, "subkind": "area-stacked", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:47.777+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "09015cdb-1627-4b03-a4a0-bd95c0b0bd32", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Light Vehicle Production: 13%", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:21+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f2c-aa03245e0427", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.6, "x": 0.1, "y": 0.92 }, "kind": "source-note", "text": "Source: Wards Automotive, Morgan Stanley Research. Note: Production measure represents all light vehicles manufactured within the given region.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:47.777+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "62ec0c30-4316-419b-97cf-6d7b0897061e", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.9, "x": 0.05, "y": 0.05 }, "kind": "title", "text": "Global Car Production Share = Rise & Decline of USA… Cars Produced in USA = 13% vs. 76% (1950)…", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:47.777+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "c9058e05-5b09-415f-a575-0263d6ad6080", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-f542-761b-97e1-ac4407287b78", "evidence": "USA 13% vs 76% (1950) production share.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 80, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 145, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." } ], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 160, "from": 135, "loop": { "name": "21_before_after", "slug": "21-before-after", "status": "active", "bestFor": "Product demos, process improvements, ROI justification", "canonId": "019dd956-6e68-73fd-a295-fe90145c2da8", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Old Way (Pain) -> The Moment of Change -> The New Way (Glory) -> The Measurable Delta", "description": "Show the dramatic contrast between the old way and the new way through side-by-side comparison", "familyLabel": null }, "matchId": "019de7d7-e24d-70a8-94f7-9a7b22f327cb", "evidence": "p139 mechanical->computer evolution, p140 NHTSA L0->L4, p153 ownership-to-miles-driven CEO quotes, p160 'Golden Age Take Two'.", "position": 10, "objective": "Cars: from mechanical-to-computer evolution (before) to autonomous + shared-mobility future (after)", "confidence": 75, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 146, "type": "analysis", "title": "The slide uses a bar chart to visualize long-term demographic decline as a proxy for industrial health.", "function": "analyze_data", "rawType": "industry_trends", "block": null, "metadata": { "slideType": "industry_trends", "slideTypeCanon": { "name": "Industry trends", "slug": "industry_trends", "status": "active", "canonId": "019de52d-0b1d-7705-a0e0-c663199cd1fa", "version": 1, "description": null }, "function": "analyze_data", "functionCanon": { "name": "Analyze data", "slug": "analyze_data", "status": "active", "canonId": "019de52d-1590-7413-8c82-cc218cff40b4", "version": 1, "description": null }, "density": "sparse", "densityScore": 24, "componentCount": 4, "textChars": 219, "nDataPoints": 12, "notes": "The slide uses a bar chart to visualize long-term demographic decline as a proxy for industrial health.", "elementsJson": [ "headline_text", "bar_chart_vertical", "footnote" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:47.861+00", "seconds": 2.113, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/146", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-146", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.7, "w": 0.8, "x": 0.1, "y": 0.15 }, "kind": "chart", "text": "Detroit Population, 1900 – 2015", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Vertical bar chart", "slug": "bar-vertical", "status": "active", "canonId": "019de52c-fe9d-70f2-b3b7-a9ae294f5917", "version": 1, "description": null }, "framework": null }, "subkind": "bar-vertical", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:47.861+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "ccefc0a3-397a-4749-89d8-f1eee6a6fcb2", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Population: 65%", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:21+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f2d-a18176965cb2", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.3, "x": 0.1, "y": 0.92 }, "kind": "source-note", "text": "Source: Southeast Michigan Council of Governments. Note: Represents mid-year population.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:47.861+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "e0270e41-5d00-42f3-865b-1fe3664dcda7", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.8, "x": 0.02, "y": 0.02 }, "kind": "title", "text": "Detroit Population Tells Tale of USA Car Production = Down 65% from 1950 Peak @ 1.8MM", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Action title", "slug": "action-title", "status": "active", "canonId": "019de52c-fb31-734c-a0f5-a3935b73135d", "version": 1, "description": null }, "framework": null }, "subkind": "action-title", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:47.861+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "612336ed-283c-43cf-9907-4bcee4855482", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 160, "from": 135, "loop": { "name": "21_before_after", "slug": "21-before-after", "status": "active", "bestFor": "Product demos, process improvements, ROI justification", "canonId": "019dd956-6e68-73fd-a295-fe90145c2da8", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Old Way (Pain) -> The Moment of Change -> The New Way (Glory) -> The Measurable Delta", "description": "Show the dramatic contrast between the old way and the new way through side-by-side comparison", "familyLabel": null }, "matchId": "019de7d7-e24d-70a8-94f7-9a7b22f327cb", "evidence": "p139 mechanical->computer evolution, p140 NHTSA L0->L4, p153 ownership-to-miles-driven CEO quotes, p160 'Golden Age Take Two'.", "position": 10, "objective": "Cars: from mechanical-to-computer evolution (before) to autonomous + shared-mobility future (after)", "confidence": 75, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 147, "type": "setup", "function": "establish_context", "rawType": "thesis_headline", "block": null, "metadata": { "slideType": "thesis_headline", "slideTypeCanon": { "name": "Thesis headline", "slug": "thesis_headline", "status": "active", "canonId": "019de52d-073a-70cb-b9f6-772a597bb5af", "version": 1, "description": null }, "function": "establish_context", "functionCanon": { "name": "Establish context", "slug": "establish_context", "status": "active", "canonId": "019de52d-1314-74e6-9074-d213dc0bdcdf", "version": 1, "description": null }, "density": "sparse", "densityScore": 2, "componentCount": 1, "textChars": 45, "nDataPoints": 0, "notes": null, "elementsJson": [ "headline_text" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:47.405+00", "seconds": 1.615, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/147", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-147", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.23, "w": 0.64, "x": 0.18, "y": 0.385 }, "kind": "title", "text": "Car Industry = Innovation Accelerating in USA", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:47.405+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "63a31866-067c-4a2d-a879-5e597ca8d7da", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Thesis archetype", "slug": "thesis-archetype", "status": "active", "bestFor": null, "canonId": "019dd9e1-4b0b-7428-9b26-f171d1e753fb", "version": 1, "bodyDocId": null, "description": "A canonical investment / activist thesis shape (breakup, fraud, governance).", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "a04640de-9666-4669-8bf3-6c70eb7a7635", "evidence": "The title 'Car Industry = Innovation Accelerating in USA' clearly presents a thesis statement.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.9, "extraction": { "at": "2026-07-16 22:00:46.176866+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 147, "whyItWorks": null, "antipattern": null, "cardinality": "optional", "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 160, "from": 135, "loop": { "name": "21_before_after", "slug": "21-before-after", "status": "active", "bestFor": "Product demos, process improvements, ROI justification", "canonId": "019dd956-6e68-73fd-a295-fe90145c2da8", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Old Way (Pain) -> The Moment of Change -> The New Way (Glory) -> The Measurable Delta", "description": "Show the dramatic contrast between the old way and the new way through side-by-side comparison", "familyLabel": null }, "matchId": "019de7d7-e24d-70a8-94f7-9a7b22f327cb", "evidence": "p139 mechanical->computer evolution, p140 NHTSA L0->L4, p153 ownership-to-miles-driven CEO quotes, p160 'Golden Age Take Two'.", "position": 10, "objective": "Cars: from mechanical-to-computer evolution (before) to autonomous + shared-mobility future (after)", "confidence": 75, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 148, "type": "analysis", "title": "The slide uses a numbered list to categorize the US automotive ecosystem's strengths.", "function": "establish_context", "rawType": "market_landscape", "block": null, "metadata": { "slideType": "market_landscape", "slideTypeCanon": { "name": "Market landscape", "slug": "market_landscape", "status": "active", "canonId": "019de52d-0b6d-75db-a946-9ac362e3afc2", "version": 1, "description": null }, "function": "establish_context", "functionCanon": { "name": "Establish context", "slug": "establish_context", "status": "active", "canonId": "019de52d-1314-74e6-9074-d213dc0bdcdf", "version": 1, "description": null }, "density": "dense", "densityScore": 50, "componentCount": 5, "textChars": 1161, "nDataPoints": 0, "notes": "The slide uses a numbered list to categorize the US automotive ecosystem's strengths.", "elementsJson": [ "headline_text", "numbered_list" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:48.609+00", "seconds": 2.727, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/148", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-148", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "USA Has Many Key Components of Ecosystem", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:21+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f2d-8eb1f1b0b3ea", "parentComponentId": null }, { "bbox": { "h": 0.65, "w": 0.9, "x": 0.05, "y": 0.22 }, "kind": "list", "text": "1) Incumbents – GM / Ford...Leading (2 of Top 10 Global) Auto Manufacturers\n2) Attackers – Tesla... #1 Electric Vehicle Manufacturer\n3) Systems / Components – Processors / GPUs (Nvidia...)...Sensors / LIDAR / Radar (Velodyne / Quanergy / Google...)...Connectivity (AT&T / Telogis / INRIX...)...Mapping (Google / Waze / Uber...)...Operating Systems (Google / Apple)...Other (Drivetrain / Power Electronics / Aerodynamics / Lightweighting / Etc...)\n4) Autonomous Vehicles – Google / Tesla / Uber...Leadership in Development of Autonomous Vehicle Solutions\n5) Mobility & Fleet Innovation – Uber / Lyft / Zendrive...Leadership in Ride Sharing Solutions / Infrastructure / Fleet Knowledge (Distribution via Mobile Devices / Recommended Traffic Flows)\n6) Education / University Innovation – Stanford / Carnegie Mellon / Michigan / MIT / UC Berkeley...Leadership in STEM & Computer Science Education / Computer Vision / Robotics / Deep Learning / Automotive Engineering", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Numbered list", "slug": "numbered", "status": "active", "canonId": "019de52c-fcc0-7718-a284-a4250c805df2", "version": 1, "description": null }, "framework": null }, "subkind": "numbered", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:48.609+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "be670624-de44-4e3a-9cb9-608f0509ac8d", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.3, "x": 0.1, "y": 0.95 }, "kind": "source-note", "text": "Source: KPCB Green Investing Team, Reilly Brennan (Stanford)", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:48.609+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "f39dfabe-1904-491f-adb2-ad39e1c14034", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.6, "x": 0.2, "y": 0.15 }, "kind": "title", "text": "USA Has Many Key Components of Ecosystem", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Action title", "slug": "action-title", "status": "active", "canonId": "019de52c-fb31-734c-a0f5-a3935b73135d", "version": 1, "description": null }, "framework": null }, "subkind": "action-title", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:48.609+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "a0130383-df97-4bfc-a4f6-1332bb89acec", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.96, "x": 0.02, "y": 0.02 }, "kind": "title", "text": "USA = Potential to be Global Hub of Auto Industry Again?...", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:48.609+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "8f60d4f8-0bbd-42a0-b79b-81775a205db8", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Three Pillars", "slug": "three-pillars", "status": "active", "bestFor": null, "canonId": "019dd956-81ef-7455-a365-b234d95a6bbb", "version": 1, "bodyDocId": null, "description": "Three major supporting arguments that are MECE and address key concerns", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Architect", "layer": "block", "agents": [ "Architect" ], "matchId": "019de7d7-f563-77ee-b2b4-5ea60865e502", "evidence": "Six ecosystem components listed for USA auto.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 60, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 148, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Audience Definition", "slug": "audience-definition", "status": "active", "bestFor": null, "canonId": "019dd956-7f2a-775d-aeee-ff099bcb7756", "version": 1, "bodyDocId": null, "description": "Six key questions: Who are they? What do they know? What do they believe? What do they care about? What do they fear? What decisions can they make?", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "201ae1bb-c9df-4577-a8e7-1b505f49644c", "evidence": "The presence of 'USA = Potential to be Global Hub of Auto Industry Again?' suggests an audience definition focused on the US auto industry.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:00:46.252524+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 148, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Market Segmentation Pyramid", "slug": "market-segmentation-pyramid", "status": "active", "bestFor": null, "canonId": "1c9f3543-c96f-4a5b-b4a4-9b2a412c0aaf", "version": 1, "bodyDocId": null, "description": null, "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "3ed343bb-e85b-46a4-8c7a-58ce91eebac1", "evidence": "The list '1) Incumbents – GM / Ford...Leading (2 of Top 10 Global) Auto Manufacturers' implies a market segmentation approach.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.5, "extraction": { "at": "2026-07-16 22:00:46.288203+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 148, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 160, "from": 135, "loop": { "name": "21_before_after", "slug": "21-before-after", "status": "active", "bestFor": "Product demos, process improvements, ROI justification", "canonId": "019dd956-6e68-73fd-a295-fe90145c2da8", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Old Way (Pain) -> The Moment of Change -> The New Way (Glory) -> The Measurable Delta", "description": "Show the dramatic contrast between the old way and the new way through side-by-side comparison", "familyLabel": null }, "matchId": "019de7d7-e24d-70a8-94f7-9a7b22f327cb", "evidence": "p139 mechanical->computer evolution, p140 NHTSA L0->L4, p153 ownership-to-miles-driven CEO quotes, p160 'Golden Age Take Two'.", "position": 10, "objective": "Cars: from mechanical-to-computer evolution (before) to autonomous + shared-mobility future (after)", "confidence": 75, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 149, "type": "resolution", "title": "Part of the KPCB Internet Trends 2016 deck.", "function": "recommend", "rawType": "recommendation", "block": null, "metadata": { "slideType": "recommendation", "slideTypeCanon": { "name": "Recommendation", "slug": "recommendation", "status": "active", "canonId": "019de52d-0c35-718b-8bbb-772a56a31ecd", "version": 1, "description": null }, "function": "recommend", "functionCanon": { "name": "Recommend", "slug": "recommend", "status": "active", "canonId": "019de52d-1609-764f-9882-9ef3ede71d8b", "version": 1, "description": null }, "density": "balanced", "densityScore": 43, "componentCount": 5, "textChars": 720, "nDataPoints": 0, "notes": "Part of the KPCB Internet Trends 2016 deck.", "elementsJson": [ "headline_text", "numbered_list", "footnote" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:48.787+00", "seconds": 2.793, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/149", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-149", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "USA Could Benefit from Creating Space in the Automotive Regulatory Framework to Foster Innovation", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:21+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f2d-661796eafebc", "parentComponentId": null }, { "bbox": { "h": 0.65, "w": 0.94, "x": 0.03, "y": 0.25 }, "kind": "list", "text": "1) Federally Provided Guidance to States to Embrace Autonomy\n2) Flexibility of Regulation\n3) Individual Cities / States Championing Autonomy\n4) Comprehensive Safety Frameworks\n5) Leaning Forward on Sharing (Car & Ride)\n6) Auto Cybersecurity\n7) Next-Generation Franchise Laws", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Numbered list", "slug": "numbered", "status": "active", "canonId": "019de52c-fcc0-7718-a284-a4250c805df2", "version": 1, "description": null }, "framework": null }, "subkind": "numbered", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:48.787+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "94595f4a-6459-4f3c-acf7-4940ac8cc993", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.5, "x": 0.03, "y": 0.95 }, "kind": "source-note", "text": "Source: KPCB Green Investing Team, Reilly Brennan (Stanford), Google. Note: EU Block Exemption details per European Commission. Testing locations represent Google autonomous car testing cities.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:48.787+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "83806366-e665-4782-9d82-e0d1be09e214", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.7, "x": 0.15, "y": 0.15 }, "kind": "title", "text": "USA Could Benefit from Creating Space in the Automotive Regulatory Framework to Foster Innovation", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Action title", "slug": "action-title", "status": "active", "canonId": "019de52c-fb31-734c-a0f5-a3935b73135d", "version": 1, "description": null }, "framework": null }, "subkind": "action-title", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:48.787+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "ac920f19-f330-4f90-91c9-5569135b19d2", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.96, "x": 0.02, "y": 0.02 }, "kind": "title", "text": "...USA = Potential to be Global Hub of Auto Industry Again?", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:48.787+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "ddf95b0c-57a4-4e58-b0f9-56a0789e25c2", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-f582-735c-b439-4ea48ff396ec", "evidence": "Calls for regulatory space for innovation.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 149, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." }, { "tool": { "name": "Problem-Agitate-Solve (PAS)", "slug": "problem-agitate-solve-pas", "status": "active", "bestFor": null, "canonId": "019dd956-869f-7564-8d42-de54ed29ab90", "version": 1, "bodyDocId": null, "description": "Identify problem, agitate the pain, present the solution", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "7f5f1c03-a632-4d47-9a18-43429f80fe10", "evidence": "The title 'USA Could Benefit from Creating Space in the Automotive Regulatory Framework to Foster Innovation' implies a problem-agitate-solve approach.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:00:46.356575+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 149, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 160, "from": 135, "loop": { "name": "21_before_after", "slug": "21-before-after", "status": "active", "bestFor": "Product demos, process improvements, ROI justification", "canonId": "019dd956-6e68-73fd-a295-fe90145c2da8", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Old Way (Pain) -> The Moment of Change -> The New Way (Glory) -> The Measurable Delta", "description": "Show the dramatic contrast between the old way and the new way through side-by-side comparison", "familyLabel": null }, "matchId": "019de7d7-e24d-70a8-94f7-9a7b22f327cb", "evidence": "p139 mechanical->computer evolution, p140 NHTSA L0->L4, p153 ownership-to-miles-driven CEO quotes, p160 'Golden Age Take Two'.", "position": 10, "objective": "Cars: from mechanical-to-computer evolution (before) to autonomous + shared-mobility future (after)", "confidence": 75, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 150, "type": "evidence", "title": "Uses historical analogy to frame current regulatory challenges for ride-sharing.", "function": "cite_precedent", "rawType": "client_example", "block": null, "metadata": { "slideType": "client_example", "slideTypeCanon": { "name": "Client example", "slug": "client_example", "status": "active", "canonId": "019de52d-0c87-77cb-9867-613ae22e95ac", "version": 1, "description": null }, "function": "cite_precedent", "functionCanon": { "name": "Cite precedent", "slug": "cite_precedent", "status": "active", "canonId": "019de52d-142b-714b-86d4-58aad7b568ec", "version": 1, "description": null }, "density": "dense", "densityScore": 74, "componentCount": 8, "textChars": 802, "nDataPoints": 4, "notes": "Uses historical analogy to frame current regulatory challenges for ride-sharing.", "elementsJson": [ "headline_text", "photo", "paragraph" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:49.004+00", "seconds": 2.914, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/150", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-150", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "Regulators = Typically Slow to Adapt to New Technologies", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:21+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f2c-c3c2aefb5ffb", "parentComponentId": null }, { "bbox": { "h": 0.37, "w": 0.33, "x": 0.55, "y": 0.27 }, "kind": "image", "text": "Photo of Jitney bus", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Photo", "slug": "photo", "status": "active", "canonId": "019de52c-fd37-757f-b4a8-ca26d4888875", "version": 1, "description": null }, "framework": null }, "subkind": "photo", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:49.004+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "565b61aa-4cc7-4bf6-8cfc-9667bf47cc46", "parentComponentId": null }, { "bbox": { "h": 0.37, "w": 0.33, "x": 0.12, "y": 0.27 }, "kind": "image", "text": "Illustration of Red Flag Act", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Photo", "slug": "photo", "status": "active", "canonId": "019de52c-fd37-757f-b4a8-ca26d4888875", "version": 1, "description": null }, "framework": null }, "subkind": "photo", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:49.004+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "56d33006-b9f4-4723-9dbc-d805a8148ad4", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.33, "x": 0.12, "y": 0.65 }, "kind": "list", "text": "Locomotive Act of 1865 – Red Flag Act: Law Enacted in UK... Horseless Carriages (Cars) Had to be Preceded By Someone with Red Flag For Safety Purposes", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:49.004+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "2b8917f2-2686-430b-8627-1030719afaed", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.33, "x": 0.55, "y": 0.65 }, "kind": "list", "text": "Jitneys (1914): Ride-Sharing, ~100 Years Ago... 150K Jitney Rides / Day (1915) in LA, yet Regulated Out of Existence by 1919... 157K Uber Rides / Day (2016) in LA...", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:49.004+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "8a76d6bb-1bc3-4601-8725-4dfa69654012", "parentComponentId": null }, { "bbox": { "h": 0.04, "w": 0.76, "x": 0.12, "y": 0.18 }, "kind": "paragraph", "text": "Back in the Day When Horseless Carriage (Car) Came Along...", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:49.004+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "80067f1e-6c4b-42f2-a268-e6203afa79da", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.6, "x": 0.1, "y": 0.94 }, "kind": "source-note", "text": "Source: Encyclopedia Britannica, dailybritain.wordpress.com, Travis Kalanick (Uber) TED Talk (3/16), Michigan State University Library, William B. Friedricks, \"Henry E. Huntington and the Creation of Southern California,\" Columbus, OH: Ohio State University Press, 1992", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:49.004+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "5943cebc-4529-493e-a246-802da894cc6c", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.65, "x": 0.02, "y": 0.02 }, "kind": "title", "text": "Regulators = Typically Slow to Adapt to New Technologies", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:49.004+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "23a78d5e-e070-4144-a6d6-ca6b35ed11ab", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Argument from Analogy", "slug": "argument-from-analogy", "status": "active", "bestFor": null, "canonId": "019dd956-9e3d-7762-a994-72a2f7104e7c", "version": 1, "bodyDocId": null, "description": "Drawing conclusions based on similarities between situations", "familyLabel": null, "categoryName": "Loop", "categorySlug": "loop" }, "agent": "Architect", "layer": "loop", "agents": [ "Architect" ], "matchId": "019de7d7-f5a3-71ca-a680-ab604265e22c", "evidence": "Red Flag Act / Jitneys precedents argue against current resistance.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 150, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Anadiplosis", "slug": "anadiplosis", "status": "active", "bestFor": null, "canonId": "019dd956-a0a5-75f9-a98c-7b7d8ee377a1", "version": 1, "bodyDocId": null, "description": "Ending one clause with a word that begins the next", "familyLabel": null, "categoryName": "Loop", "categorySlug": "loop" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "c4bb5c09-b518-4601-88ec-9995c21c1d15", "evidence": "The comparison of past and present regulatory environments implies anadiplosis.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.5, "extraction": { "at": "2026-07-16 22:00:46.461432+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 150, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Analytical method", "slug": "analytical-method", "status": "active", "bestFor": null, "canonId": "b42c4911-7946-49b5-951c-5f3d23f4e2bd", "version": 1, "bodyDocId": null, "description": "Diagnostic / structuring methods (5-whys, fishbone, issue tree, hypothesis-driven).", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "20565201-513b-4c23-8a05-16e6321e6e86", "evidence": "The use of historical examples (Jitneys, Locomotive Act) suggests an analytical method.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.5, "extraction": { "at": "2026-07-16 22:00:46.425483+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 150, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null } ], "frameworks": [ { "matchId": "6394be13-c2ab-4ee6-9585-8c43bcaf3f2e", "evidence": "Uses historical examples of regulation to explain current ride-sharing regulatory environment.", "framework": null, "confidence": 0.9, "extraction": { "at": "2026-05-02 17:38:49.004+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 150, "frameworkName": "metaphor-analogy" } ], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 160, "from": 135, "loop": { "name": "21_before_after", "slug": "21-before-after", "status": "active", "bestFor": "Product demos, process improvements, ROI justification", "canonId": "019dd956-6e68-73fd-a295-fe90145c2da8", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Old Way (Pain) -> The Moment of Change -> The New Way (Glory) -> The Measurable Delta", "description": "Show the dramatic contrast between the old way and the new way through side-by-side comparison", "familyLabel": null }, "matchId": "019de7d7-e24d-70a8-94f7-9a7b22f327cb", "evidence": "p139 mechanical->computer evolution, p140 NHTSA L0->L4, p153 ownership-to-miles-driven CEO quotes, p160 'Golden Age Take Two'.", "position": 10, "objective": "Cars: from mechanical-to-computer evolution (before) to autonomous + shared-mobility future (after)", "confidence": 75, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 151, "type": "setup", "function": "establish_context", "rawType": "regional_insights", "block": null, "metadata": { "slideType": "regional_insights", "slideTypeCanon": { "name": "Regional insights", "slug": "regional_insights", "status": "active", "canonId": "019de52d-0e65-708b-a079-0bf65f43c5c6", "version": 1, "description": null }, "function": "establish_context", "functionCanon": { "name": "Establish context", "slug": "establish_context", "status": "active", "canonId": "019de52d-1314-74e6-9074-d213dc0bdcdf", "version": 1, "description": null }, "density": "balanced", "densityScore": 42, "componentCount": 3, "textChars": 1663, "nDataPoints": 0, "notes": null, "elementsJson": [ "headline_text", "bullet_list" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:49.299+00", "seconds": 2.586, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/151", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-151", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.7, "w": 0.9, "x": 0.06, "y": 0.18 }, "kind": "list", "text": "N. America – Some home field advantage on tech innovation & early application of shared mobility, but culture of private ownership and litigious USA judicial system may slow progress.\nChina – Government focus on technology / environment, as well as quality of ride-sharing companies (esp. Didi), have driven strong early sharing adoption. Competing investment in public transit and impact of car ownership on social standing may impede full-scale adoption.\nIndia – Offers all key ingredients (rapid urbanization, limited public infrastructure, large millennial population, internet inflection point) for shared mobility leadership. Current market structure is likely to change as shared mobility gains dominance, so future remains unclear.\nEurope – Lack of homegrown tech champions coupled with power of OEMs (particularly Germans) and quality of European public transit may make adoption more difficult. High fuel costs and strong emissions standards may drive movement forward.\nJapan – Social implications of an aging population and policy support (given importance of a strong automotive industry) represent key advantages, but OEM buy-in to new paradigm is crucial, and R&D investment in tech arena lags somewhat behind other geographies.\nKorea – Strong technological culture, early political support and sharing-focused younger demographic leaves Korea relatively well positioned for move to shared mobility, though adoption remains in its infancy.", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:49.299+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "c623178e-228a-464d-8444-b8b6c2d2b3cc", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.35, "x": 0.1, "y": 0.94 }, "kind": "source-note", "text": "Source: 'Global Investment Implication of Auto 2.0,' Morgan Stanley Research, 4/19/16, led by Adam Jonas", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:49.299+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "1544a3c9-24b9-48e5-8133-e82b18e3620d", "parentComponentId": null }, { "bbox": { "h": 0.12, "w": 0.96, "x": 0.02, "y": 0.02 }, "kind": "title", "text": "Global Perspective on Auto Industry Future – By Region, per Morgan Stanley Auto & Shared Mobility Research", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:49.299+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "028514c5-1e94-49aa-b503-14dfbbce9ddc", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "BCG Growth-Share Matrix", "slug": "bcg-growth-share-matrix", "status": "active", "bestFor": null, "canonId": "019de52d-1e65-748e-be86-47bed7c1258d", "version": 1, "bodyDocId": null, "description": null, "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "9e349f1b-ba2c-4dff-af67-78dafb2399ad", "evidence": "The global perspective on the auto industry by region implies a growth-share matrix analysis.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.5, "extraction": { "at": "2026-07-16 22:00:46.530606+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 151, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 160, "from": 135, "loop": { "name": "21_before_after", "slug": "21-before-after", "status": "active", "bestFor": "Product demos, process improvements, ROI justification", "canonId": "019dd956-6e68-73fd-a295-fe90145c2da8", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Old Way (Pain) -> The Moment of Change -> The New Way (Glory) -> The Measurable Delta", "description": "Show the dramatic contrast between the old way and the new way through side-by-side comparison", "familyLabel": null }, "matchId": "019de7d7-e24d-70a8-94f7-9a7b22f327cb", "evidence": "p139 mechanical->computer evolution, p140 NHTSA L0->L4, p153 ownership-to-miles-driven CEO quotes, p160 'Golden Age Take Two'.", "position": 10, "objective": "Cars: from mechanical-to-computer evolution (before) to autonomous + shared-mobility future (after)", "confidence": 75, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 152, "type": "setup", "function": "transition", "rawType": "section_divider", "block": null, "metadata": { "slideType": "section_divider", "slideTypeCanon": { "name": "Section divider", "slug": "section_divider", "status": "active", "canonId": "019de52d-066a-7402-9554-6ae504999041", "version": 1, "description": null }, "function": "transition", "functionCanon": { "name": "Transition", "slug": "transition", "status": "active", "canonId": "019de52d-1365-7149-92aa-66df859e75fd", "version": 1, "description": null }, "density": "sparse", "densityScore": 2, "componentCount": 1, "textChars": 61, "nDataPoints": 0, "notes": null, "elementsJson": [ "headline_text" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:52.059+00", "seconds": 5.27, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/152", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-152", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.3, "w": 0.6, "x": 0.2, "y": 0.35 }, "kind": "title", "text": "Re-Imagining Transportation – Mobility also Being Re-Imagined", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:52.059+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "65d96f91-c0e2-4b8b-a123-5db5fda40933", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Section divider", "slug": "section-divider", "status": "active", "bestFor": null, "canonId": "019dd9e1-4c66-707d-8d1f-6e14547134c7", "version": 1, "bodyDocId": null, "description": "A transitional slide marking the start of a new section.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "05cedc0b-5e36-44be-919e-ac4fab468d00", "evidence": "The title 'Re-Imagining Transportation – Mobility also Being Re-Imagined' serves as a clear section divider.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.9, "extraction": { "at": "2026-07-16 22:00:46.598257+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 152, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 160, "from": 135, "loop": { "name": "21_before_after", "slug": "21-before-after", "status": "active", "bestFor": "Product demos, process improvements, ROI justification", "canonId": "019dd956-6e68-73fd-a295-fe90145c2da8", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Old Way (Pain) -> The Moment of Change -> The New Way (Glory) -> The Measurable Delta", "description": "Show the dramatic contrast between the old way and the new way through side-by-side comparison", "familyLabel": null }, "matchId": "019de7d7-e24d-70a8-94f7-9a7b22f327cb", "evidence": "p139 mechanical->computer evolution, p140 NHTSA L0->L4, p153 ownership-to-miles-driven CEO quotes, p160 'Golden Age Take Two'.", "position": 10, "objective": "Cars: from mechanical-to-computer evolution (before) to autonomous + shared-mobility future (after)", "confidence": 75, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 153, "type": "setup", "function": "summarize", "rawType": "quote_slide", "block": null, "metadata": { "slideType": "quote_slide", "slideTypeCanon": { "name": "Quote slide", "slug": "quote_slide", "status": "active", "canonId": "019de52d-098e-7555-a9fd-4f0af7e80bc2", "version": 1, "description": null }, "function": "summarize", "functionCanon": { "name": "Summarize", "slug": "summarize", "status": "active", "canonId": "019de52d-1541-704f-b86f-bf7b75056373", "version": 1, "description": null }, "density": "dense", "densityScore": 66, "componentCount": 7, "textChars": 1113, "nDataPoints": 0, "notes": null, "elementsJson": [ "headline_text", "quote_block" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:51.004+00", "seconds": 3.978, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/153", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-153", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.05, "w": 0.4, "x": 0.07, "y": 0.38 }, "kind": "paragraph", "text": "MARY BARRA, GM CEO, 10/25/15", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:51.004+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "b7741b3e-0151-477e-a439-15606b505a56", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.4, "x": 0.07, "y": 0.78 }, "kind": "paragraph", "text": "MARK FIELDS, FORD CEO, 4/12/16", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:51.004+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "fa704a3b-c48f-464a-b783-eadf593222f8", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.85, "x": 0.07, "y": 0.54 }, "kind": "quote", "text": "You could say there would be less vehicles sold, but we’re changing our business model to look at this as vehicle miles traveled...I could argue that with autonomous vehicles, the actual mileage on those vehicles will accumulate a lot more than a personally owned vehicle.", "attrs": null, "canon": { "kind": { "name": "Quote", "slug": "quote", "status": "active", "canonId": "019de52c-f8fb-751e-8bc6-d58e2d59562a", "version": 1, "description": "Pull quote or testimonial." }, "tool": null, "subkind": { "name": "Testimonial", "slug": "testimonial", "status": "active", "canonId": "019de52c-fc21-71b6-9ac3-8266a64945e8", "version": 1, "description": null }, "framework": null }, "subkind": "testimonial", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:51.004+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "3e224bc2-197b-4e70-ad37-8c3ab66d2397", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.8, "x": 0.07, "y": 0.23 }, "kind": "quote", "text": "We do believe the traditional ownership model is being disrupted...We’re going to see more change in the next five to ten years than we’ve seen in the last 50.", "attrs": null, "canon": { "kind": { "name": "Quote", "slug": "quote", "status": "active", "canonId": "019de52c-f8fb-751e-8bc6-d58e2d59562a", "version": 1, "description": "Pull quote or testimonial." }, "tool": null, "subkind": { "name": "Testimonial", "slug": "testimonial", "status": "active", "canonId": "019de52c-fc21-71b6-9ac3-8266a64945e8", "version": 1, "description": null }, "framework": null }, "subkind": "testimonial", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:51.004+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "9420f2ff-6d79-405e-beaf-3008ea5a11c8", "parentComponentId": null }, { "bbox": null, "kind": "quote", "text": "We do believe the traditional ownership model is being disrupted...We’re going to see more change in the next five to ten years than we’ve seen in the last 50. - Mary Barra, GM CEO; You could say there would be less vehicles sold, but we’re changing our business model to look at this as vehicle miles traveled...I could argue that with autonomous vehicles, the actual mileage on those vehicles will accumulate a lot more than a personally owned vehicle. - Mark Fields, Ford CEO", "attrs": null, "canon": { "kind": { "name": "Quote", "slug": "quote", "status": "active", "canonId": "019de52c-f8fb-751e-8bc6-d58e2d59562a", "version": 1, "description": "Pull quote or testimonial." }, "tool": { "name": "Authority citation", "slug": "authority-citation", "status": "active", "bestFor": null, "canonId": "019dd9e1-49ae-7557-89ad-3fca70469b45", "version": 1, "bodyDocId": null, "description": "Quoting an authority figure, study, or precedent to lend weight.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:21+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f2d-7c385bfc68fb", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.3, "x": 0.1, "y": 0.94 }, "kind": "source-note", "text": "Source: Mary Barra (General Motors), Mark Fields (Ford), Wall Street Journal", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:51.004+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "24d350fb-8b7b-4867-b581-7978eb95db52", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.9, "x": 0.05, "y": 0.05 }, "kind": "title", "text": "Re-Imagining Automotive Industry = From Cars Produced to Miles Driven?", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:51.004+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "53a00662-849b-440a-a549-27df0fe61fcc", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Authority Bias", "slug": "authority-bias", "status": "active", "bestFor": null, "canonId": "019dd956-c38d-70b9-a284-b2b479763356", "version": 1, "bodyDocId": null, "description": "Expert opinions are weighted more heavily - cite credible sources", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Architect", "Storyteller" ], "matchId": "019de7d7-f603-7730-a481-6f56c211974d", "evidence": "Mary Barra (GM) + Mark Fields (Ford) CEO quotes validate disruption.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 80, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 153, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Credibility Transfer", "slug": "credibility-transfer", "status": "active", "bestFor": null, "canonId": "019dd956-bd34-759a-8e3b-2f14b571a2a1", "version": 1, "bodyDocId": null, "description": "Borrowing authority from trusted sources or vivid details", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "019de7d7-f622-72a9-8d80-5f276f5e24f8", "evidence": "OEM CEO quotes used as expert testimony.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 75, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 153, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 160, "from": 135, "loop": { "name": "21_before_after", "slug": "21-before-after", "status": "active", "bestFor": "Product demos, process improvements, ROI justification", "canonId": "019dd956-6e68-73fd-a295-fe90145c2da8", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Old Way (Pain) -> The Moment of Change -> The New Way (Glory) -> The Measurable Delta", "description": "Show the dramatic contrast between the old way and the new way through side-by-side comparison", "familyLabel": null }, "matchId": "019de7d7-e24d-70a8-94f7-9a7b22f327cb", "evidence": "p139 mechanical->computer evolution, p140 NHTSA L0->L4, p153 ownership-to-miles-driven CEO quotes, p160 'Golden Age Take Two'.", "position": 10, "objective": "Cars: from mechanical-to-computer evolution (before) to autonomous + shared-mobility future (after)", "confidence": 75, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 154, "type": "tension", "title": "Part of the KPCB Internet Trends 2016 deck.", "function": "frame_problem", "rawType": "problem_statement", "block": null, "metadata": { "slideType": "problem_statement", "slideTypeCanon": { "name": "Problem statement", "slug": "problem_statement", "status": "active", "canonId": "019de52d-0879-768d-bba8-8da8a5a121d4", "version": 1, "description": null }, "function": "frame_problem", "functionCanon": { "name": "Frame problem", "slug": "frame_problem", "status": "active", "canonId": "019de52d-13db-753e-ad70-e9b2d0dab398", "version": 1, "description": null }, "density": "dense", "densityScore": 70, "componentCount": 7, "textChars": 870, "nDataPoints": 12, "notes": "Part of the KPCB Internet Trends 2016 deck.", "elementsJson": [ "headline_text", "bullet_list", "footnote" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:49.995+00", "seconds": 2.804, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/154", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-154", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.1, "w": 0.9, "x": 0.05, "y": 0.5 }, "kind": "list", "text": "Urban Auto Commuting Delays = Rising: 42 Hours / Year / Urban Worker, USA (+2x in 30 Years), Equivalent to ~1.2 Extra Work Weeks / Year", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:49.995+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "1177ed27-e728-4ac9-ad7a-63f16181f12c", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.7, "x": 0.05, "y": 0.35 }, "kind": "list", "text": "Commuting Time = Significant: 4.3 Hours per Week per Worker, Average (13% of Work Week, USA)", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:49.995+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "24ea66bd-d0c3-4857-8799-00601d029ef0", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.9, "x": 0.05, "y": 0.65 }, "kind": "list", "text": "Millennials = Driving Differently: Drivers License Usage Declining (Age 16-44) = @ 77% vs. 92% (1982, USA); Millennial Willingness to Car Share = @ ~50% (Asia-Pacific) / @ ~20% (North America); 46% of Millennials Expect Vehicle Technology to do Everything a Smartphone Can...", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:49.995+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "4dfff3dd-f2c1-4982-bd33-c709ab09b0b1", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.8, "x": 0.05, "y": 0.15 }, "kind": "list", "text": "Car Ownership Costs = High: $8,558 / Year, USA = Depreciation @ 44% / Fuel @ 15% / Finance + Fees @ 14% / Insurance @ 14% / Maintenance + Repair @ 9%", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:49.995+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "90ae03ef-236b-4a2a-9032-ecfa11162124", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Annual cost of car ownership: $8,558", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:21+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f2d-4fb62fc6da88", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.9, "x": 0.05, "y": 0.9 }, "kind": "source-note", "text": "Source: Ownership costs per AAA (4/16); Vehicle fees include license, taxes and registration. Commuting times per U.S. Census Bureau (2013)...", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:49.995+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "9991f8db-81b5-4413-a447-6d481a9b1d41", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.6, "x": 0.05, "y": 0.05 }, "kind": "title", "text": "Car Ownership Costs (Money + Time) = High", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:49.995+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "c3a5e94d-576c-47e0-985a-0e8454f67e72", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Problem Statement Canvas", "slug": "problem-statement-canvas", "status": "active", "bestFor": null, "canonId": "019dd956-839d-744b-ad11-9bf3e3642a18", "version": 1, "bodyDocId": null, "description": "Structured definition of the problem: What? Who? Where? When? Scale?", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "dc23c671-7d62-45a9-ba8e-488a8e9d3d00", "evidence": "The title 'Car Ownership Costs (Money + Time) = High' and the list of bullet points imply a problem statement canvas.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:00:46.701452+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 154, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 160, "from": 135, "loop": { "name": "21_before_after", "slug": "21-before-after", "status": "active", "bestFor": "Product demos, process improvements, ROI justification", "canonId": "019dd956-6e68-73fd-a295-fe90145c2da8", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Old Way (Pain) -> The Moment of Change -> The New Way (Glory) -> The Measurable Delta", "description": "Show the dramatic contrast between the old way and the new way through side-by-side comparison", "familyLabel": null }, "matchId": "019de7d7-e24d-70a8-94f7-9a7b22f327cb", "evidence": "p139 mechanical->computer evolution, p140 NHTSA L0->L4, p153 ownership-to-miles-driven CEO quotes, p160 'Golden Age Take Two'.", "position": 10, "objective": "Cars: from mechanical-to-computer evolution (before) to autonomous + shared-mobility future (after)", "confidence": 75, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 155, "type": "analysis", "function": "frame_problem", "rawType": "industry_trends", "block": null, "metadata": { "slideType": "industry_trends", "slideTypeCanon": { "name": "Industry trends", "slug": "industry_trends", "status": "active", "canonId": "019de52d-0b1d-7705-a0e0-c663199cd1fa", "version": 1, "description": null }, "function": "frame_problem", "functionCanon": { "name": "Frame problem", "slug": "frame_problem", "status": "active", "canonId": "019de52d-13db-753e-ad70-e9b2d0dab398", "version": 1, "description": null }, "density": "dense", "densityScore": 73, "componentCount": 7, "textChars": 1140, "nDataPoints": 10, "notes": null, "elementsJson": [ "headline_text", "bullet_list" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:51.753+00", "seconds": 4.389, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/155", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-155", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.15, "w": 0.7, "x": 0.05, "y": 0.37 }, "kind": "list", "text": "Vehicle Miles Traveled (VMT) = High Per Capita: USA VMT Per Capita = 9K / +11x China (~850) / +48x India (~200)", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:51.753+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "489cf6d4-c9ad-4a20-bf0d-a06b468ad283", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.7, "x": 0.05, "y": 0.18 }, "kind": "list", "text": "Cars = Underutilized Assets: USA = 2.2 Cars / Household, ~20% of Households Have 3+ Cars, Cars Used ~4% of Time", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:51.753+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "a50fb032-0659-4ba4-b8f1-411d71b18b65", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.7, "x": 0.05, "y": 0.76 }, "kind": "list", "text": "Energy Consumption by Light Vehicles = Significant: ~500B Gallons of Fuel, Global (2014)...", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:51.753+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "b0d4b9e7-f005-4e79-ae34-5dfcbbe65928", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.7, "x": 0.05, "y": 0.56 }, "kind": "list", "text": "Parking Infrastructure = Lots of It: ~19MM Parking Spaces in Los Angeles County (2010), +12MM since 1950; 14% of Incorporated Land in Los Angeles County Allocated to Parking; ~4 Estimated Parking Spots / Person in USA", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:51.753+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "ed8dde14-9f72-44e2-bb9f-4b7f7af02990", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Vehicle utilization: 4%", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:21+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f2c-fd4215c02e97", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.65, "x": 0.05, "y": 0.94 }, "kind": "source-note", "text": "Source: Car utilization / penetration, VMT and energy consumption per \"Global Investment Implications of Auto 2.0\", Morgan Stanley Research (4/16); Los Angeles parking data per Mikhail Chester, Andrew Fraser, Juan Matute, Carolyn Flower and Ram Pendyala (2015) Parking Infrastructure: A Constraint on or Opportunity for Urban Redevelopment? A Study of Los Angeles Parking Supply and Growth, Journal of the American Planning Association, 81:4, 268-286; parking spots / person per Stefan Heck / Stanford Precourt Institute of Energy.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:51.753+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "f2312684-d0bc-4f9d-9352-34387c484f97", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.8, "x": 0.05, "y": 0.04 }, "kind": "title", "text": "Efficiency Gain Potential from Ride & Car Sharing = High", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:51.753+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "60c93b09-42c6-4638-ae21-ca32a4d0670b", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 160, "from": 135, "loop": { "name": "21_before_after", "slug": "21-before-after", "status": "active", "bestFor": "Product demos, process improvements, ROI justification", "canonId": "019dd956-6e68-73fd-a295-fe90145c2da8", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Old Way (Pain) -> The Moment of Change -> The New Way (Glory) -> The Measurable Delta", "description": "Show the dramatic contrast between the old way and the new way through side-by-side comparison", "familyLabel": null }, "matchId": "019de7d7-e24d-70a8-94f7-9a7b22f327cb", "evidence": "p139 mechanical->computer evolution, p140 NHTSA L0->L4, p153 ownership-to-miles-driven CEO quotes, p160 'Golden Age Take Two'.", "position": 10, "objective": "Cars: from mechanical-to-computer evolution (before) to autonomous + shared-mobility future (after)", "confidence": 75, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 156, "type": "analysis", "title": "Data source: Berenson Strategy Group, Uber. Survey conducted in 11/15 across 801 riders.", "function": "summarize", "rawType": "data_table", "block": null, "metadata": { "slideType": "data_table", "slideTypeCanon": { "name": "Data table", "slug": "data_table", "status": "active", "canonId": "019de52d-0bbd-71b9-9918-417f904abbf8", "version": 1, "description": null }, "function": "summarize", "functionCanon": { "name": "Summarize", "slug": "summarize", "status": "active", "canonId": "019de52d-1541-704f-b86f-bf7b75056373", "version": 1, "description": null }, "density": "balanced", "densityScore": 41, "componentCount": 5, "textChars": 479, "nDataPoints": 6, "notes": "Data source: Berenson Strategy Group, Uber. Survey conducted in 11/15 across 801 riders.", "elementsJson": [ "headline_text", "bullet_list" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:50.325+00", "seconds": 2.953, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/156", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-156", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.55, "w": 0.6, "x": 0.06, "y": 0.28 }, "kind": "list", "text": "93% = Get to Destination Quickly\n87% = Safety\n84% = Too Much Alcohol to Drive\n83% = Save Money\n77% = Avoid Dealing with a Car\n65% = Option During Public Transit 'Off' Hours", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:50.325+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "89438a03-02f9-4bbb-a236-c32ad0517a53", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Rider preference percentage: 93%", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:25+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f2f-83d8c5bf49a3", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.4, "x": 0.1, "y": 0.94 }, "kind": "source-note", "text": "Source: Berenson Strategy Group, Uber. Note: Survey conducted in 11/15 across 801 riders who had taken at least one trip in the past 3 months in 24 USA Uber markets.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:50.325+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "4e332902-5e57-4f94-b88c-6e38e779d1ce", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.96, "x": 0.02, "y": 0.02 }, "kind": "title", "text": "Uber Platform / Network = Why Millions of Riders Have Taken >1B Rides Since 2009", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:50.325+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "f504c530-2125-480d-83ec-b4c1ed9b9aaf", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.55, "x": 0.06, "y": 0.19 }, "kind": "title", "text": "Top Reasons Riders Choose Uber", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Subtitle", "slug": "subtitle", "status": "active", "canonId": "019de52c-fb09-739d-900c-815b0d9ac526", "version": 1, "description": null }, "framework": null }, "subkind": "subtitle", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:50.325+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "4e456f53-b49e-4208-92d7-f1fba3df045d", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 160, "from": 135, "loop": { "name": "21_before_after", "slug": "21-before-after", "status": "active", "bestFor": "Product demos, process improvements, ROI justification", "canonId": "019dd956-6e68-73fd-a295-fe90145c2da8", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Old Way (Pain) -> The Moment of Change -> The New Way (Glory) -> The Measurable Delta", "description": "Show the dramatic contrast between the old way and the new way through side-by-side comparison", "familyLabel": null }, "matchId": "019de7d7-e24d-70a8-94f7-9a7b22f327cb", "evidence": "p139 mechanical->computer evolution, p140 NHTSA L0->L4, p153 ownership-to-miles-driven CEO quotes, p160 'Golden Age Take Two'.", "position": 10, "objective": "Cars: from mechanical-to-computer evolution (before) to autonomous + shared-mobility future (after)", "confidence": 75, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 157, "type": "analysis", "title": "The slide uses a mix of growth metrics (cities, trips, riders) and impact metrics (miles saved, gas saved).", "function": "quantify_impact", "rawType": "kpi_dashboard", "block": null, "metadata": { "slideType": "kpi_dashboard", "slideTypeCanon": { "name": "KPI dashboard", "slug": "kpi_dashboard", "status": "active", "canonId": "019de52d-0be5-7295-af4d-b850fe7b7e65", "version": 1, "description": null }, "function": "quantify_impact", "functionCanon": { "name": "Quantify impact", "slug": "quantify_impact", "status": "active", "canonId": "019de52d-1630-720d-b57d-fa7f76bebd8d", "version": 1, "description": null }, "density": "dense", "densityScore": 52, "componentCount": 6, "textChars": 547, "nDataPoints": 7, "notes": "The slide uses a mix of growth metrics (cities, trips, riders) and impact metrics (miles saved, gas saved).", "elementsJson": [ "headline_text", "bullet_list", "infographic", "logo_grid" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:50.861+00", "seconds": 3.36, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/157", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-157", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "36 = Global UberPool Cities, +7x Y/Y", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:21+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f2d-b8588b412dc9", "parentComponentId": null }, { "bbox": { "h": 0.4, "w": 0.4, "x": 0.05, "y": 0.35 }, "kind": "image", "text": "uberPOOL route diagram", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Illustration", "slug": "illustration", "status": "active", "canonId": "019de52c-fe76-7772-a5ac-c0b7294d7615", "version": 1, "description": null }, "framework": null }, "subkind": "illustration", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:50.861+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "1c089f30-a079-4828-b3b2-7755632a0de7", "parentComponentId": null }, { "bbox": { "h": 0.5, "w": 0.5, "x": 0.45, "y": 0.3 }, "kind": "list", "text": "36 = Global UberPool Cities, +7x Y/Y\n100MM = UberPool Trips Since Launch (8/14)\n40% = UberPool as % of Total SF Rides\n30MM = China Rides / Month (in <1 Year)\n>100K = Riders / Week in 11 Global Cities\n90MM = Vehicle Miles Traveled saved vs. UberX*\n1.8MM = Gallons of Gas Saved vs. UberX*", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:50.861+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "4aa78f28-520d-451c-9ff3-eaf3a1c43c49", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Global Uber Rides: 20%", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:21+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f2d-bfe33b445aaa", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.3, "x": 0.05, "y": 0.95 }, "kind": "source-note", "text": "Source: Uber. UberPool announced in August 2014. * Represents first 3 months of 2016.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:50.861+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "42b1554a-f771-4a22-bd8e-bca3df9e52bd", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.9, "x": 0.05, "y": 0.05 }, "kind": "title", "text": "Shared Private Rides Becoming Urban Mainstream = uberPOOL @ 20% of Global Uber Rides in <2 Years", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:50.861+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "b4b300c6-ba37-4575-9f16-dd1fa3768244", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 160, "from": 135, "loop": { "name": "21_before_after", "slug": "21-before-after", "status": "active", "bestFor": "Product demos, process improvements, ROI justification", "canonId": "019dd956-6e68-73fd-a295-fe90145c2da8", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Old Way (Pain) -> The Moment of Change -> The New Way (Glory) -> The Measurable Delta", "description": "Show the dramatic contrast between the old way and the new way through side-by-side comparison", "familyLabel": null }, "matchId": "019de7d7-e24d-70a8-94f7-9a7b22f327cb", "evidence": "p139 mechanical->computer evolution, p140 NHTSA L0->L4, p153 ownership-to-miles-driven CEO quotes, p160 'Golden Age Take Two'.", "position": 10, "objective": "Cars: from mechanical-to-computer evolution (before) to autonomous + shared-mobility future (after)", "confidence": 75, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 158, "type": "analysis", "title": "The slide uses a historical analogy (Rolls Royce 1904 vs Mercedes F 015) to frame the shift toward autonomous/passenger-focused vehicle interiors, supported by ", "function": "establish_context", "rawType": "industry_trends", "block": null, "metadata": { "slideType": "industry_trends", "slideTypeCanon": { "name": "Industry trends", "slug": "industry_trends", "status": "active", "canonId": "019de52d-0b1d-7705-a0e0-c663199cd1fa", "version": 1, "description": null }, "function": "establish_context", "functionCanon": { "name": "Establish context", "slug": "establish_context", "status": "active", "canonId": "019de52d-1314-74e6-9074-d213dc0bdcdf", "version": 1, "description": null }, "density": "dense", "densityScore": 59, "componentCount": 7, "textChars": 488, "nDataPoints": 9, "notes": "The slide uses a historical analogy (Rolls Royce 1904 vs Mercedes F 015) to frame the shift toward autonomous/passenger-focused vehicle interiors, supported by a bar chart showing commute time as a major time-sink comparable to social media usage.", "elementsJson": [ "headline_text", "photo", "bar_chart_vertical", "footnote" ], "confidence": 0.95, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:51.233+00", "seconds": 3.675, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/158", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-158", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "Commute Time = Significant Engagement / Entertainment Opportunity?", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:21+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f2d-2f0ade003a9a", "parentComponentId": null }, { "bbox": { "h": 0.3, "w": 0.8, "x": 0.1, "y": 0.58 }, "kind": "chart", "text": "Commute Time = Significant Engagement / Entertainment Opportunity?", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Vertical bar chart", "slug": "bar-vertical", "status": "active", "canonId": "019de52c-fe9d-70f2-b3b7-a9ae294f5917", "version": 1, "description": null }, "framework": null }, "subkind": "bar-vertical", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:51.233+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "d8792e59-5302-426b-801c-31390a84e99c", "parentComponentId": null }, { "bbox": { "h": 0.3, "w": 0.35, "x": 0.6, "y": 0.25 }, "kind": "image", "text": "Mercedes-Benz F 015", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Photo", "slug": "photo", "status": "active", "canonId": "019de52c-fd37-757f-b4a8-ca26d4888875", "version": 1, "description": null }, "framework": null }, "subkind": "photo", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:51.233+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "8e91425e-ace9-4dd4-941f-36fcce6c6524", "parentComponentId": null }, { "bbox": { "h": 0.3, "w": 0.35, "x": 0.1, "y": 0.25 }, "kind": "image", "text": "Rolls Royce 1904", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Photo", "slug": "photo", "status": "active", "canonId": "019de52c-fd37-757f-b4a8-ca26d4888875", "version": 1, "description": null }, "framework": null }, "subkind": "photo", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:51.233+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "af7b6230-fb17-4d6d-b2d1-0f7557f0da58", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Hours / User / Month: 19", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:21+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f2d-3240c708929b", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.8, "x": 0.1, "y": 0.93 }, "kind": "source-note", "text": "Source: Time Spent data per Cowen & Co. Research + SurveyMonkey (n = 2,059, 6/15, minutes / day spent across all cohorts and extrapolated to hours / month), except for Spotify (per Company). Commute data per US Census Bureau as of 2013...", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:51.233+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "c8a6e6a2-5060-4ecf-b8c1-9c2f71e3ad15", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.65, "x": 0.02, "y": 0.02 }, "kind": "title", "text": "Re-Imagining Most Important Seat in Car = Back Seat, Again?", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:51.233+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "a4dc9575-99ef-4ab9-bf14-0961ba1aa8b6", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Metaphor & Analogy", "slug": "metaphor-analogy", "status": "active", "bestFor": null, "canonId": "019dd956-adea-7729-bca1-70810d6238a9", "version": 1, "bodyDocId": null, "description": "Making abstract concepts concrete through familiar comparisons", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "019de7d7-f642-75d8-98d2-9068d87175a3", "evidence": "Backseat-again analogy for autonomous-car media time.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 158, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [ { "matchId": "e4018d45-2d4a-4b7b-8327-d7426dc2193e", "evidence": "Comparing 1904 Rolls Royce to 2015 Mercedes concept to illustrate a cyclical trend in vehicle design.", "framework": null, "confidence": 0.9, "extraction": { "at": "2026-05-02 17:38:51.233+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 158, "frameworkName": "metaphor-analogy" } ], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 160, "from": 135, "loop": { "name": "21_before_after", "slug": "21-before-after", "status": "active", "bestFor": "Product demos, process improvements, ROI justification", "canonId": "019dd956-6e68-73fd-a295-fe90145c2da8", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Old Way (Pain) -> The Moment of Change -> The New Way (Glory) -> The Measurable Delta", "description": "Show the dramatic contrast between the old way and the new way through side-by-side comparison", "familyLabel": null }, "matchId": "019de7d7-e24d-70a8-94f7-9a7b22f327cb", "evidence": "p139 mechanical->computer evolution, p140 NHTSA L0->L4, p153 ownership-to-miles-driven CEO quotes, p160 'Golden Age Take Two'.", "position": 10, "objective": "Cars: from mechanical-to-computer evolution (before) to autonomous + shared-mobility future (after)", "confidence": 75, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 159, "type": "setup", "function": "transition", "rawType": "section_divider", "block": null, "metadata": { "slideType": "section_divider", "slideTypeCanon": { "name": "Section divider", "slug": "section_divider", "status": "active", "canonId": "019de52d-066a-7402-9554-6ae504999041", "version": 1, "description": null }, "function": "transition", "functionCanon": { "name": "Transition", "slug": "transition", "status": "active", "canonId": "019de52d-1365-7149-92aa-66df859e75fd", "version": 1, "description": null }, "density": "sparse", "densityScore": 2, "componentCount": 1, "textChars": 55, "nDataPoints": 0, "notes": null, "elementsJson": [ "headline_text" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:49.986+00", "seconds": 2.408, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/159", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-159", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.2, "w": 0.7, "x": 0.15, "y": 0.4 }, "kind": "title", "text": "Transportation Industry = Strap In for Next Few Decades", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:49.986+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "71b84b51-dc26-4b08-ba18-3761983f8f2f", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 160, "from": 135, "loop": { "name": "21_before_after", "slug": "21-before-after", "status": "active", "bestFor": "Product demos, process improvements, ROI justification", "canonId": "019dd956-6e68-73fd-a295-fe90145c2da8", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Old Way (Pain) -> The Moment of Change -> The New Way (Glory) -> The Measurable Delta", "description": "Show the dramatic contrast between the old way and the new way through side-by-side comparison", "familyLabel": null }, "matchId": "019de7d7-e24d-70a8-94f7-9a7b22f327cb", "evidence": "p139 mechanical->computer evolution, p140 NHTSA L0->L4, p153 ownership-to-miles-driven CEO quotes, p160 'Golden Age Take Two'.", "position": 10, "objective": "Cars: from mechanical-to-computer evolution (before) to autonomous + shared-mobility future (after)", "confidence": 75, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 160, "type": "analysis", "title": "This slide uses a series of rhetorical questions to frame the future of the automotive industry, likely from Mary Meeker's KPCB Internet Trends report.", "function": "frame_problem", "rawType": "industry_trends", "block": null, "metadata": { "slideType": "industry_trends", "slideTypeCanon": { "name": "Industry trends", "slug": "industry_trends", "status": "active", "canonId": "019de52d-0b1d-7705-a0e0-c663199cd1fa", "version": 1, "description": null }, "function": "frame_problem", "functionCanon": { "name": "Frame problem", "slug": "frame_problem", "status": "active", "canonId": "019de52d-13db-753e-ad70-e9b2d0dab398", "version": 1, "description": null }, "density": "sparse", "densityScore": 23, "componentCount": 3, "textChars": 435, "nDataPoints": 0, "notes": "This slide uses a series of rhetorical questions to frame the future of the automotive industry, likely from Mary Meeker's KPCB Internet Trends report.", "elementsJson": [ "headline_text", "bullet_list" ], "confidence": 0.95, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:51.294+00", "seconds": 3.687, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/160", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-160", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.6, "w": 0.9, "x": 0.06, "y": 0.25 }, "kind": "list", "text": "Is part of a network that provides a commuting service that comes to you?\nIs the most advanced computing device you use?\nIn effect, is an on-demand cash generator, boosted by car / ride sharing?\nGives you safe driving pay-backs from your insurer?\nIs safer, due to automation / reduced human error?\nDrives itself? Parks itself?\nMakes you want to commute?\nMakes you more productive?", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:51.294+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "97c3f507-fc70-4830-8775-16df769f2f54", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.2, "x": 0.06, "y": 0.185 }, "kind": "paragraph", "text": "What if a Car:", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:51.294+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "8a881b1c-34b0-4b31-bee2-1cbedb3c831a", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.6, "x": 0.05, "y": 0.03 }, "kind": "title", "text": "Automotive Industry Golden Age, Take Two?", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:51.294+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "2ddbee8b-46a1-4f52-bc01-745146e845a9", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "List presentation", "slug": "list-presentation", "status": "active", "bestFor": null, "canonId": "019dd9e1-4ef7-777d-ba68-9074c2b3bcf1", "version": 1, "bodyDocId": null, "description": "Bulleted, numbered, or checklist enumerations.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "3d243fef-1460-456d-9b0e-8c41a79bef03", "evidence": "list/bullet: Is part of a network that provides a commuting service that comes to you? Is the most advanced computing device you use? In effect, is an on-demand cash generator, boosted by car / ride sharing?", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:00:27.955164+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 160, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 160, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 42, "name": "Solution & Approach", "beatId": "019de7d7-dfbd-7209-b604-7f083185cfba", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Ads, commerce, video, image, messaging, voice, transport as innovation answers.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 160, "from": 135, "loop": { "name": "21_before_after", "slug": "21-before-after", "status": "active", "bestFor": "Product demos, process improvements, ROI justification", "canonId": "019dd956-6e68-73fd-a295-fe90145c2da8", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Old Way (Pain) -> The Moment of Change -> The New Way (Glory) -> The Measurable Delta", "description": "Show the dramatic contrast between the old way and the new way through side-by-side comparison", "familyLabel": null }, "matchId": "019de7d7-e24d-70a8-94f7-9a7b22f327cb", "evidence": "p139 mechanical->computer evolution, p140 NHTSA L0->L4, p153 ownership-to-miles-driven CEO quotes, p160 'Golden Age Take Two'.", "position": 10, "objective": "Cars: from mechanical-to-computer evolution (before) to autonomous + shared-mobility future (after)", "confidence": 75, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 161, "type": "setup", "function": "transition", "rawType": "section_divider", "block": null, "metadata": { "slideType": "section_divider", "slideTypeCanon": { "name": "Section divider", "slug": "section_divider", "status": "active", "canonId": "019de52d-066a-7402-9554-6ae504999041", "version": 1, "description": null }, "function": "transition", "functionCanon": { "name": "Transition", "slug": "transition", "status": "active", "canonId": "019de52d-1365-7149-92aa-66df859e75fd", "version": 1, "description": null }, "density": "sparse", "densityScore": 18, "componentCount": 4, "textChars": 244, "nDataPoints": 0, "notes": null, "elementsJson": [ "headline_text", "logo_grid", "footnote" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:49.903+00", "seconds": 2.292, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/161", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-161", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.05, "w": 0.8, "x": 0.1, "y": 0.87 }, "kind": "disclaimer", "text": "*Disclaimer - The information provided in the following slides is for informational and illustrative purposes only...", "attrs": null, "canon": { "kind": { "name": "Disclaimer", "slug": "disclaimer", "status": "active", "canonId": "91173477-d91f-4024-bbaf-d4f93e3f82dc", "version": 1, "description": "Legal/cautionary text that occupies most of the body of its slide." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:49.903+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "d67f0615-01b9-41ca-bab7-993d2fc40c8a", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.1, "x": 0.45, "y": 0.68 }, "kind": "image", "text": "Hillhouse Capital logo", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Logo", "slug": "logo", "status": "active", "canonId": "019de52c-fdaf-743d-94c4-d7c6a0e55302", "version": 1, "description": null }, "framework": null }, "subkind": "logo", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:49.903+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "19d143f3-7560-455e-8822-a0779b433bbc", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.6, "x": 0.2, "y": 0.55 }, "kind": "paragraph", "text": "Hillhouse Capital* Provided China Section of Internet Trends, 2016", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:49.903+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "32f12d34-4920-4d2c-8428-be7d692d8a2b", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.9, "x": 0.05, "y": 0.3 }, "kind": "title", "text": "CHINA = INTERNET LEADER ON MANY METRICS", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:49.903+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "6c9ccab4-1d2f-4a93-9a52-d20fe0757097", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 193, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 161, "name": "Evidence & Proof", "beatId": "019de7d7-dfdb-71ae-ab61-8a3533e45ef2", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "China leadership data + public/private company financials.", "position": 4, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [], "locked": true }, { "page": 162, "type": "setup", "function": "summarize", "rawType": "thesis_headline", "block": null, "metadata": { "slideType": "thesis_headline", "slideTypeCanon": { "name": "Thesis headline", "slug": "thesis_headline", "status": "active", "canonId": "019de52d-073a-70cb-b9f6-772a597bb5af", "version": 1, "description": null }, "function": "summarize", "functionCanon": { "name": "Summarize", "slug": "summarize", "status": "active", "canonId": "019de52d-1541-704f-b86f-bf7b75056373", "version": 1, "description": null }, "density": "sparse", "densityScore": 4, "componentCount": 2, "textChars": 85, "nDataPoints": 0, "notes": null, "elementsJson": [ "headline_text" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:50.531+00", "seconds": 2.853, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/162", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-162", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.15, "w": 0.73, "x": 0.135, "y": 0.475 }, "kind": "title", "text": "Robust Service-Driven Job & Income Growth... Despite Investment Slowdown", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Action title", "slug": "action-title", "status": "active", "canonId": "019de52c-fb31-734c-a0f5-a3935b73135d", "version": 1, "description": null }, "framework": null }, "subkind": "action-title", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:50.531+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "7674cc46-7ad7-44e1-86a2-8ca316563e97", "parentComponentId": null }, { "bbox": { "h": 0.06, "w": 0.348, "x": 0.326, "y": 0.25 }, "kind": "title", "text": "China Macro =", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:50.531+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "af302c31-4be4-4985-8a65-809841458d2d", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Thesis archetype", "slug": "thesis-archetype", "status": "active", "bestFor": null, "canonId": "019dd9e1-4b0b-7428-9b26-f171d1e753fb", "version": 1, "bodyDocId": null, "description": "A canonical investment / activist thesis shape (breakup, fraud, governance).", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "7cc1b472-0dba-436c-ac52-e44bdea52ac6", "evidence": "title/action-title: Robust Service-Driven Job & Income Growth... Despite Investment Slowdown", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.8, "extraction": { "at": "2026-07-16 22:00:28.061477+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 162, "whyItWorks": null, "antipattern": null, "cardinality": "optional", "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 193, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 161, "name": "Evidence & Proof", "beatId": "019de7d7-dfdb-71ae-ab61-8a3533e45ef2", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "China leadership data + public/private company financials.", "position": 4, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 182, "from": 162, "loop": { "name": "04_tale_two_worlds", "slug": "04-tale-two-worlds", "status": "active", "bestFor": "Competitive analysis, benchmarking, case for change", "canonId": "019dd956-674f-750b-b15d-f082e2717f4e", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "Current State -> Desired State / Benchmark -> The Gap & Implication", "description": "Show the gap between two states to drive urgency or highlight opportunity", "familyLabel": null }, "matchId": "019de7d7-e26c-70ce-a296-8864b88dd4d8", "evidence": "p170 online ads > USA share, pp171-172 e-commerce share, p176 payment frequency, p181 70% global on-demand share.", "position": 11, "objective": "Benchmark China internet metrics against USA to argue China leads on many fronts", "confidence": 82, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 163, "type": "analysis", "title": "The chart uses a stacked area format to visualize the shift from primary/secondary sectors to tertiary services over two decades.", "function": "analyze_data", "rawType": "industry_trends", "block": null, "metadata": { "slideType": "industry_trends", "slideTypeCanon": { "name": "Industry trends", "slug": "industry_trends", "status": "active", "canonId": "019de52d-0b1d-7705-a0e0-c663199cd1fa", "version": 1, "description": null }, "function": "analyze_data", "functionCanon": { "name": "Analyze data", "slug": "analyze_data", "status": "active", "canonId": "019de52d-1590-7413-8c82-cc218cff40b4", "version": 1, "description": null }, "density": "dense", "densityScore": 59, "componentCount": 7, "textChars": 532, "nDataPoints": 6, "notes": "The chart uses a stacked area format to visualize the shift from primary/secondary sectors to tertiary services over two decades.", "elementsJson": [ "headline_text", "area_chart" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:50.398+00", "seconds": 2.67, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/163", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-163", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "China Services Industries = 50%+ (& Rising) of China’s GDP & ~87% of GDP Growth", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:22+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f2d-e8a5fad65ea3", "parentComponentId": null }, { "bbox": { "h": 0.6, "w": 0.65, "x": 0.05, "y": 0.0025 }, "kind": "chart", "text": "Stacked area chart showing GDP composition by sector from 1995 to 2015", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Stacked area chart", "slug": "area-stacked", "status": "active", "canonId": "019de52c-ffb1-75fa-a614-76782f418cf1", "version": 1, "description": null }, "framework": null }, "subkind": "area-stacked", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:50.398+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "7d71ab91-2034-4188-8dac-c5962b17577c", "parentComponentId": null }, { "bbox": { "h": 0.5, "w": 0.2, "x": 0.75, "y": 0.003 }, "kind": "list", "text": "Legend for GDP sectors including Tertiary (Others, Real Estate, Finance, etc.), Secondary (Construction, Manufacturing), and Primary (Agriculture).", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:50.398+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "ae6ec7d0-0e1a-41d0-898d-88acdd13a155", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "GDP growth contribution: 87%", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:22+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f2d-ede20da4c62f", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.4, "x": 0.1, "y": 0.95 }, "kind": "source-note", "text": "Source: National Bureau of Statistics of China, CEIC, Goldman Sachs Global Investment Research.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:50.398+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "58b49e61-165f-4817-97c1-3518e9781c73", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.9, "x": 0.05, "y": 0.05 }, "kind": "title", "text": "China Services Industries = 50%+ (& Rising) of China's GDP & ~87% of GDP Growth", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Action title", "slug": "action-title", "status": "active", "canonId": "019de52c-fb31-734c-a0f5-a3935b73135d", "version": 1, "description": null }, "framework": null }, "subkind": "action-title", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:50.398+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "547f9580-031e-42c6-8547-fa635d806de6", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.5, "x": 0.25, "y": 0.0019 }, "kind": "title", "text": "China's GDP by Sector, 1995 – 2015", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:50.398+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "eb38a7b3-2788-4382-b14d-89d8cc3d8a07", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "2x2 matrix", "slug": "matrix-2x2", "status": "active", "bestFor": null, "canonId": "019dd9e1-50ab-72d1-8afb-3ab0a38e32a8", "version": 1, "bodyDocId": null, "description": "BCG matrix, importance/urgency, any axes-and-quadrants frame.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "7211ffff-305a-4f8e-9f5a-8119356a2f11", "evidence": "chart/area-stacked: Stacked area chart showing GDP composition by sector from 1995 to 2015", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.6, "extraction": { "at": "2026-07-16 22:00:28.131468+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 163, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null }, { "tool": { "name": "Legend / context", "slug": "legend-context", "status": "active", "bestFor": null, "canonId": "019dd9e1-4e9e-7082-8f2e-c1e169365858", "version": 1, "bodyDocId": null, "description": "Footnote, definition, source attribution.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "1ba17a61-b4cd-45bb-9abc-66be6493f4ad", "evidence": "list/bullet: Legend for GDP sectors including Tertiary (Others, Real Estate, Finance, etc.), Secondary (Construction, Manufacturing), and Primary (Agriculture).", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:00:28.165565+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 163, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 193, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 161, "name": "Evidence & Proof", "beatId": "019de7d7-dfdb-71ae-ab61-8a3533e45ef2", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "China leadership data + public/private company financials.", "position": 4, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 182, "from": 162, "loop": { "name": "04_tale_two_worlds", "slug": "04-tale-two-worlds", "status": "active", "bestFor": "Competitive analysis, benchmarking, case for change", "canonId": "019dd956-674f-750b-b15d-f082e2717f4e", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "Current State -> Desired State / Benchmark -> The Gap & Implication", "description": "Show the gap between two states to drive urgency or highlight opportunity", "familyLabel": null }, "matchId": "019de7d7-e26c-70ce-a296-8864b88dd4d8", "evidence": "p170 online ads > USA share, pp171-172 e-commerce share, p176 payment frequency, p181 70% global on-demand share.", "position": 11, "objective": "Benchmark China internet metrics against USA to argue China leads on many fronts", "confidence": 82, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 164, "type": "analysis", "title": "The chart uses a combination of grouped bars for sectors and a line for net overall employment gain.", "function": "analyze_data", "rawType": "industry_trends", "block": null, "metadata": { "slideType": "industry_trends", "slideTypeCanon": { "name": "Industry trends", "slug": "industry_trends", "status": "active", "canonId": "019de52d-0b1d-7705-a0e0-c663199cd1fa", "version": 1, "description": null }, "function": "analyze_data", "functionCanon": { "name": "Analyze data", "slug": "analyze_data", "status": "active", "canonId": "019de52d-1590-7413-8c82-cc218cff40b4", "version": 1, "description": null }, "density": "balanced", "densityScore": 46, "componentCount": 5, "textChars": 521, "nDataPoints": 63, "notes": "The chart uses a combination of grouped bars for sectors and a line for net overall employment gain.", "elementsJson": [ "headline_text", "bar_chart_grouped", "line_chart", "footnote" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:54.541+00", "seconds": 6.518, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/164", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-164", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.7, "w": 0.8, "x": 0.1, "y": 0.15 }, "kind": "chart", "text": "China Annual Employment Change by Sector, 1995 – 2015", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Grouped bar chart", "slug": "bar-grouped", "status": "active", "canonId": "019de52c-ff3b-751e-a8ff-f21ff11097b1", "version": 1, "description": null }, "framework": null }, "subkind": "bar-grouped", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:54.541+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "93448d3d-f376-414f-bae5-6def603aab80", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.5, "x": 0.1, "y": 0.95 }, "kind": "disclaimer", "text": "Source: National Bureau of Statistics of China, Wind Information. *Note: Services include wholesale, retail, transportation, storage, communication, accommodation, catering, finance, education, real estate and other services.", "attrs": null, "canon": { "kind": { "name": "Disclaimer", "slug": "disclaimer", "status": "active", "canonId": "91173477-d91f-4024-bbaf-d4f93e3f82dc", "version": 1, "description": "Legal/cautionary text that occupies most of the body of its slide." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:54.541+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "d4dcf9dc-446a-4807-beec-a80a08061952", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.3, "x": 0.25, "y": 0.25 }, "kind": "legend", "text": "Agriculture; Construction, Mining & Manufacturing; Services*; Net Overall Employment Gain", "attrs": null, "canon": { "kind": { "name": "Legend", "slug": "legend", "status": "active", "canonId": "31361933-3d22-4c70-bbad-0801e9fffc0c", "version": 1, "description": "Color/symbol decoder placed adjacent to a chart or diagram." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:54.541+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "6fb9638b-5e91-47f9-81cf-b3cd45a350ef", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Annual Employment Change (MM)", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:23+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f2e-0ed20ba31bdc", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.9, "x": 0.05, "y": 0.05 }, "kind": "title", "text": "China Services* Industries Job Growth = Accelerating... Offsetting Job Losses from Construction / Manufacturing / Agriculture", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Action title", "slug": "action-title", "status": "active", "canonId": "019de52c-fb31-734c-a0f5-a3935b73135d", "version": 1, "description": null }, "framework": null }, "subkind": "action-title", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:54.541+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "4828a6f4-f583-4b77-8e25-1ddf46c3d9a8", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Chart Selection Guide", "slug": "chart-selection-guide", "status": "active", "bestFor": null, "canonId": "019dd956-b1a0-700b-ba17-0e16c4d5bcae", "version": 1, "bodyDocId": null, "description": "Choosing the right chart type for your data and message", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "a0b03ff9-aafb-4f85-a8ff-6c10a8f46bf0", "evidence": "chart/bar-grouped: China Annual Employment Change by Sector, 1995 – 2015", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:00:28.235511+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 164, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 193, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 161, "name": "Evidence & Proof", "beatId": "019de7d7-dfdb-71ae-ab61-8a3533e45ef2", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "China leadership data + public/private company financials.", "position": 4, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 182, "from": 162, "loop": { "name": "04_tale_two_worlds", "slug": "04-tale-two-worlds", "status": "active", "bestFor": "Competitive analysis, benchmarking, case for change", "canonId": "019dd956-674f-750b-b15d-f082e2717f4e", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "Current State -> Desired State / Benchmark -> The Gap & Implication", "description": "Show the gap between two states to drive urgency or highlight opportunity", "familyLabel": null }, "matchId": "019de7d7-e26c-70ce-a296-8864b88dd4d8", "evidence": "p170 online ads > USA share, pp171-172 e-commerce share, p176 payment frequency, p181 70% global on-demand share.", "position": 11, "objective": "Benchmark China internet metrics against USA to argue China leads on many fronts", "confidence": 82, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 165, "type": "analysis", "title": "The chart uses a combination of bar (income) and line (growth) to visualize economic trends.", "function": "analyze_data", "rawType": "industry_trends", "block": null, "metadata": { "slideType": "industry_trends", "slideTypeCanon": { "name": "Industry trends", "slug": "industry_trends", "status": "active", "canonId": "019de52d-0b1d-7705-a0e0-c663199cd1fa", "version": 1, "description": null }, "function": "analyze_data", "functionCanon": { "name": "Analyze data", "slug": "analyze_data", "status": "active", "canonId": "019de52d-1590-7413-8c82-cc218cff40b4", "version": 1, "description": null }, "density": "balanced", "densityScore": 32, "componentCount": 5, "textChars": 197, "nDataPoints": 42, "notes": "The chart uses a combination of bar (income) and line (growth) to visualize economic trends.", "elementsJson": [ "headline_text", "bar_chart_vertical", "line_chart" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:53.503+00", "seconds": 5.459, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/165", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-165", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.65, "w": 0.7, "x": 0.15, "y": 0.2 }, "kind": "chart", "text": "Urban Disposable Income per Capita", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Vertical bar chart", "slug": "bar-vertical", "status": "active", "canonId": "019de52c-fe9d-70f2-b3b7-a9ae294f5917", "version": 1, "description": null }, "framework": null }, "subkind": "bar-vertical", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:53.503+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "ee018187-410b-410b-8955-5a2003d01406", "parentComponentId": null }, { "bbox": { "h": 0.65, "w": 0.7, "x": 0.15, "y": 0.2 }, "kind": "chart", "text": "Y/Y Growth", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Line chart", "slug": "line", "status": "active", "canonId": "019de52c-ff62-778f-8f6c-a952ceae8677", "version": 1, "description": null }, "framework": null }, "subkind": "line", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:53.503+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "200fad28-f7d0-4458-8f2a-bbb7140a91ae", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Urban Disposable Income per Capita", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:23+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f2e-4d5ac0cbdb32", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.2, "x": 0.1, "y": 0.95 }, "kind": "source-note", "text": "Source: CEIC, assume constant FX 1USD=6.5RMB.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:53.503+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "96a139f0-cb30-4fad-9978-6de859c2c4c4", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.7, "x": 0.05, "y": 0.05 }, "kind": "title", "text": "China Urban Disposable Income Per Capita = Continues to Grow @ Solid Rates", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Action title", "slug": "action-title", "status": "active", "canonId": "019de52c-fb31-734c-a0f5-a3935b73135d", "version": 1, "description": null }, "framework": null }, "subkind": "action-title", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:53.503+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "e64af8ba-50d4-473e-9b32-edac589b689f", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Chart Selection Guide", "slug": "chart-selection-guide", "status": "active", "bestFor": null, "canonId": "019dd956-b1a0-700b-ba17-0e16c4d5bcae", "version": 1, "bodyDocId": null, "description": "Choosing the right chart type for your data and message", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "984d3144-01d2-485f-a2ff-2d988eb6d8f7", "evidence": "chart/bar-vertical: Urban Disposable Income per Capita", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:00:28.306648+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 165, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 193, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 161, "name": "Evidence & Proof", "beatId": "019de7d7-dfdb-71ae-ab61-8a3533e45ef2", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "China leadership data + public/private company financials.", "position": 4, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 182, "from": 162, "loop": { "name": "04_tale_two_worlds", "slug": "04-tale-two-worlds", "status": "active", "bestFor": "Competitive analysis, benchmarking, case for change", "canonId": "019dd956-674f-750b-b15d-f082e2717f4e", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "Current State -> Desired State / Benchmark -> The Gap & Implication", "description": "Show the gap between two states to drive urgency or highlight opportunity", "familyLabel": null }, "matchId": "019de7d7-e26c-70ce-a296-8864b88dd4d8", "evidence": "p170 online ads > USA share, pp171-172 e-commerce share, p176 payment frequency, p181 70% global on-demand share.", "position": 11, "objective": "Benchmark China internet metrics against USA to argue China leads on many fronts", "confidence": 82, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 166, "type": "setup", "function": "summarize", "rawType": "thesis_headline", "block": null, "metadata": { "slideType": "thesis_headline", "slideTypeCanon": { "name": "Thesis headline", "slug": "thesis_headline", "status": "active", "canonId": "019de52d-073a-70cb-b9f6-772a597bb5af", "version": 1, "description": null }, "function": "summarize", "functionCanon": { "name": "Summarize", "slug": "summarize", "status": "active", "canonId": "019de52d-1541-704f-b86f-bf7b75056373", "version": 1, "description": null }, "density": "sparse", "densityScore": 12, "componentCount": 3, "textChars": 73, "nDataPoints": 3, "notes": null, "elementsJson": [ "headline_text" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:49.934+00", "seconds": 1.863, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/166", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-166", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": null, "kind": "metric", "text": "Year-over-year growth: 668MM", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:23+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f2e-3d7616883458", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.44, "x": 0.28, "y": 0.58 }, "kind": "title", "text": "+6% vs. +7% Y/Y", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:49.934+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "15913f8e-6039-41ee-8195-f50819faff17", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.44, "x": 0.28, "y": 0.3 }, "kind": "title", "text": "China Internet @ 668MM Users =", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:49.934+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "cd91c6d8-aba3-4082-b5fb-d90d688766b4", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 193, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 161, "name": "Evidence & Proof", "beatId": "019de7d7-dfdb-71ae-ab61-8a3533e45ef2", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "China leadership data + public/private company financials.", "position": 4, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 182, "from": 162, "loop": { "name": "04_tale_two_worlds", "slug": "04-tale-two-worlds", "status": "active", "bestFor": "Competitive analysis, benchmarking, case for change", "canonId": "019dd956-674f-750b-b15d-f082e2717f4e", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "Current State -> Desired State / Benchmark -> The Gap & Implication", "description": "Show the gap between two states to drive urgency or highlight opportunity", "familyLabel": null }, "matchId": "019de7d7-e26c-70ce-a296-8864b88dd4d8", "evidence": "p170 online ads > USA share, pp171-172 e-commerce share, p176 payment frequency, p181 70% global on-demand share.", "position": 11, "objective": "Benchmark China internet metrics against USA to argue China leads on many fronts", "confidence": 82, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 167, "type": "analysis", "title": "The chart shows a clear trend of increasing user base with a decelerating growth rate.", "function": "analyze_data", "rawType": "data_table", "block": null, "metadata": { "slideType": "data_table", "slideTypeCanon": { "name": "Data table", "slug": "data_table", "status": "active", "canonId": "019de52d-0bbd-71b9-9918-417f904abbf8", "version": 1, "description": null }, "function": "analyze_data", "functionCanon": { "name": "Analyze data", "slug": "analyze_data", "status": "active", "canonId": "019de52d-1590-7413-8c82-cc218cff40b4", "version": 1, "description": null }, "density": "balanced", "densityScore": 29, "componentCount": 5, "textChars": 171, "nDataPoints": 16, "notes": "The chart shows a clear trend of increasing user base with a decelerating growth rate.", "elementsJson": [ "headline_text", "bar_chart_vertical", "line_chart", "footnote" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:50.415+00", "seconds": 2.311, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/167", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-167", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.6, "w": 0.8, "x": 0.1, "y": 0.2 }, "kind": "chart", "text": "China Internet Users", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Vertical bar chart", "slug": "bar-vertical", "status": "active", "canonId": "019de52c-fe9d-70f2-b3b7-a9ae294f5917", "version": 1, "description": null }, "framework": null }, "subkind": "bar-vertical", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:50.415+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "9f0f03cf-8ead-46a4-bb17-f8aeb7d10bc2", "parentComponentId": null }, { "bbox": { "h": 0.6, "w": 0.8, "x": 0.1, "y": 0.2 }, "kind": "chart", "text": "Y/Y Growth (%)", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Line chart", "slug": "line", "status": "active", "canonId": "019de52c-ff62-778f-8f6c-a952ceae8677", "version": 1, "description": null }, "framework": null }, "subkind": "line", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:50.415+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "49f976d5-f5f9-4950-87a9-e704e8db399e", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Internet Users: 668MM", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:23+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f2e-9ecbfed01458", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.2, "x": 0.1, "y": 0.95 }, "kind": "source-note", "text": "Source: CNNIC. Internet user data is as of mid-year.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:50.415+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "319dadf5-a39f-41d0-beb7-7ebc47de13cb", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.7, "x": 0.02, "y": 0.02 }, "kind": "title", "text": "China Internet Users = 668MM, +6% vs. 7% Y/Y...@ 49% Penetration", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:50.415+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "4543bb1f-d2bc-442a-bb37-85058edb9678", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 193, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 161, "name": "Evidence & Proof", "beatId": "019de7d7-dfdb-71ae-ab61-8a3533e45ef2", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "China leadership data + public/private company financials.", "position": 4, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 182, "from": 162, "loop": { "name": "04_tale_two_worlds", "slug": "04-tale-two-worlds", "status": "active", "bestFor": "Competitive analysis, benchmarking, case for change", "canonId": "019dd956-674f-750b-b15d-f082e2717f4e", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "Current State -> Desired State / Benchmark -> The Gap & Implication", "description": "Show the gap between two states to drive urgency or highlight opportunity", "familyLabel": null }, "matchId": "019de7d7-e26c-70ce-a296-8864b88dd4d8", "evidence": "p170 online ads > USA share, pp171-172 e-commerce share, p176 payment frequency, p181 70% global on-demand share.", "position": 11, "objective": "Benchmark China internet metrics against USA to argue China leads on many fronts", "confidence": 82, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 168, "type": "analysis", "title": "The chart segments the market by major tech conglomerates and their respective app ecosystems.", "function": "quantify_impact", "rawType": "market_landscape", "block": null, "metadata": { "slideType": "market_landscape", "slideTypeCanon": { "name": "Market landscape", "slug": "market_landscape", "status": "active", "canonId": "019de52d-0b6d-75db-a946-9ac362e3afc2", "version": 1, "description": null }, "function": "quantify_impact", "functionCanon": { "name": "Quantify impact", "slug": "quantify_impact", "status": "active", "canonId": "019de52d-1630-720d-b57d-fa7f76bebd8d", "version": 1, "description": null }, "density": "dense", "densityScore": 60, "componentCount": 7, "textChars": 583, "nDataPoints": 3, "notes": "The chart segments the market by major tech conglomerates and their respective app ecosystems.", "elementsJson": [ "headline_text", "pie_chart", "icon_grid" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:54.673+00", "seconds": 5.981, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/168", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-168", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "Daily Mobile Time Spent = ~200 Minutes per User, Average", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:23+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f2e-80671028297e", "parentComponentId": null }, { "bbox": { "h": 0.55, "w": 0.35, "x": 0.1, "y": 0.25 }, "kind": "chart", "text": "Pie chart showing market share of mobile time spent by app/conglomerate", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Pie chart", "slug": "pie", "status": "active", "canonId": "019de52c-ffdb-71bb-a800-5c5ab9f1c373", "version": 1, "description": null }, "framework": null }, "subkind": "pie", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:54.673+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "16c70a7f-7b9a-4f77-a844-703a203dea62", "parentComponentId": null }, { "bbox": { "h": 0.7, "w": 0.2, "x": 0.75, "y": 0.15 }, "kind": "list", "text": "Tencent, Alibaba, and Baidu app lists", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:54.673+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "e4037df6-8fb3-4fa4-a943-f7e66754bd45", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Share of Mobile Time Spent: 71%", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:23+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f2e-8629d71a49ae", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.6, "x": 0.1, "y": 0.95 }, "kind": "source-note", "text": "Note: Grouping of apps include strategic investments made by Tencent, Alibaba and Baidu. Only apps in top 50 by time spent share are called out. Source: QuestMobile, Trustdata, and Hillhouse estimates.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:54.673+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "4e91c4e5-97b6-4b15-b3d0-3a362faa39e2", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.8, "x": 0.02, "y": 0.02 }, "kind": "title", "text": "China Mobile Internet Usage Leaders... Tencent + Alibaba + Baidu = 71% of Mobile Time Spent", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:54.673+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "6b690740-3c8f-41be-b753-f0a6475f0056", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.6, "x": 0.05, "y": 0.15 }, "kind": "title", "text": "Share of Mobile Time Spent, April 2016. Daily Mobile Time Spent = ~200 Minutes per User, Average", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Subtitle", "slug": "subtitle", "status": "active", "canonId": "019de52c-fb09-739d-900c-815b0d9ac526", "version": 1, "description": null }, "framework": null }, "subkind": "subtitle", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:54.673+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "39f64331-543e-4831-a7e7-8e18f17369ff", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Pareto Principle (80/20)", "slug": "pareto-principle-80-20", "status": "active", "bestFor": null, "canonId": "019dd956-8cc3-75ba-a35d-d6575b56c45d", "version": 1, "bodyDocId": null, "description": "80% of effects come from 20% of causes - focus on high-impact items", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Architect", "layer": "block", "agents": [ "Architect" ], "matchId": "019de7d7-f681-7338-b973-395bc1aed2cc", "evidence": "Three players capture 71% of attention.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 168, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-f662-75a8-8950-cf7168e0da08", "evidence": "BAT trio = 71% mobile time.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 82, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 168, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." } ], "frameworks": [ { "matchId": "0eb77b7b-e1de-49c3-aa66-6f02d2676750", "evidence": "Segmentation of mobile time spent by major conglomerates", "framework": null, "confidence": 0.6, "extraction": { "at": "2026-05-02 17:38:54.673+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 168, "frameworkName": "market-segmentation-pyramid" } ], "arcBeats": [ { "to": 193, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 161, "name": "Evidence & Proof", "beatId": "019de7d7-dfdb-71ae-ab61-8a3533e45ef2", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "China leadership data + public/private company financials.", "position": 4, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 182, "from": 162, "loop": { "name": "04_tale_two_worlds", "slug": "04-tale-two-worlds", "status": "active", "bestFor": "Competitive analysis, benchmarking, case for change", "canonId": "019dd956-674f-750b-b15d-f082e2717f4e", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "Current State -> Desired State / Benchmark -> The Gap & Implication", "description": "Show the gap between two states to drive urgency or highlight opportunity", "familyLabel": null }, "matchId": "019de7d7-e26c-70ce-a296-8864b88dd4d8", "evidence": "p170 online ads > USA share, pp171-172 e-commerce share, p176 payment frequency, p181 70% global on-demand share.", "position": 11, "objective": "Benchmark China internet metrics against USA to argue China leads on many fronts", "confidence": 82, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 169, "type": "setup", "function": "summarize", "rawType": "thesis_headline", "block": null, "metadata": { "slideType": "thesis_headline", "slideTypeCanon": { "name": "Thesis headline", "slug": "thesis_headline", "status": "active", "canonId": "019de52d-073a-70cb-b9f6-772a597bb5af", "version": 1, "description": null }, "function": "summarize", "functionCanon": { "name": "Summarize", "slug": "summarize", "status": "active", "canonId": "019de52d-1541-704f-b86f-bf7b75056373", "version": 1, "description": null }, "density": "sparse", "densityScore": 4, "componentCount": 1, "textChars": 116, "nDataPoints": 0, "notes": null, "elementsJson": [ "headline_text" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:50.758+00", "seconds": 1.877, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/169", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-169", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.5, "w": 0.6, "x": 0.2, "y": 0.25 }, "kind": "title", "text": "China Internet Traction = Advertising / Commerce / Travel / Financial Services Trends Often Compare Favorably to USA", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:50.758+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "91ae29d5-2938-4c4d-97e8-4071ebc3d31b", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 193, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 161, "name": "Evidence & Proof", "beatId": "019de7d7-dfdb-71ae-ab61-8a3533e45ef2", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "China leadership data + public/private company financials.", "position": 4, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 182, "from": 162, "loop": { "name": "04_tale_two_worlds", "slug": "04-tale-two-worlds", "status": "active", "bestFor": "Competitive analysis, benchmarking, case for change", "canonId": "019dd956-674f-750b-b15d-f082e2717f4e", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "Current State -> Desired State / Benchmark -> The Gap & Implication", "description": "Show the gap between two states to drive urgency or highlight opportunity", "familyLabel": null }, "matchId": "019de7d7-e26c-70ce-a296-8864b88dd4d8", "evidence": "p170 online ads > USA share, pp171-172 e-commerce share, p176 payment frequency, p181 70% global on-demand share.", "position": 11, "objective": "Benchmark China internet metrics against USA to argue China leads on many fronts", "confidence": 82, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 170, "type": "analysis", "title": "The chart uses a combination of bar charts for absolute spend and a line chart for the percentage share of Internet spend.", "function": "analyze_data", "rawType": "industry_trends", "block": null, "metadata": { "slideType": "industry_trends", "slideTypeCanon": { "name": "Industry trends", "slug": "industry_trends", "status": "active", "canonId": "019de52d-0b1d-7705-a0e0-c663199cd1fa", "version": 1, "description": null }, "function": "analyze_data", "functionCanon": { "name": "Analyze data", "slug": "analyze_data", "status": "active", "canonId": "019de52d-1590-7413-8c82-cc218cff40b4", "version": 1, "description": null }, "density": "dense", "densityScore": 72, "componentCount": 8, "textChars": 582, "nDataPoints": 50, "notes": "The chart uses a combination of bar charts for absolute spend and a line chart for the percentage share of Internet spend.", "elementsJson": [ "headline_text", "bar_chart_grouped", "line_chart" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:52.862+00", "seconds": 3.96, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/170", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-170", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "China Online Advertising > TV (2015)... Online > 42% Total Ad Spend vs. 39% in USA", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:23+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f2e-d19bc9885bb9", "parentComponentId": null }, { "bbox": { "h": 0.6, "w": 0.7, "x": 0.15, "y": 0.25 }, "kind": "chart", "text": "Grouped bar chart showing spend by medium (Internet, TV, Outdoor, Print, Radio)", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Grouped bar chart", "slug": "bar-grouped", "status": "active", "canonId": "019de52c-ff3b-751e-a8ff-f21ff11097b1", "version": 1, "description": null }, "framework": null }, "subkind": "bar-grouped", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:52.862+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "2f18f7c3-15e6-4acf-877d-6ec5794f3982", "parentComponentId": null }, { "bbox": { "h": 0.6, "w": 0.7, "x": 0.15, "y": 0.25 }, "kind": "chart", "text": "Line chart showing Internet % of Total Ad Spend", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Line chart", "slug": "line", "status": "active", "canonId": "019de52c-ff62-778f-8f6c-a952ceae8677", "version": 1, "description": null }, "framework": null }, "subkind": "line", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:52.862+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "8ba1a393-9196-444f-8f62-8f40e92e1f6c", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.3, "x": 0.1, "y": 0.93 }, "kind": "disclaimer", "text": "Source: GroupM China, April 2016 Forecast. Assume constant FX 1USD = 6.5RMB. USA advertising share data excludes out-of-home, video game, and cinema.", "attrs": null, "canon": { "kind": { "name": "Disclaimer", "slug": "disclaimer", "status": "active", "canonId": "91173477-d91f-4024-bbaf-d4f93e3f82dc", "version": 1, "description": "Legal/cautionary text that occupies most of the body of its slide." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:52.862+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "8bbba5df-07cc-4a4c-abe0-89b40be542ba", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.7, "x": 0.15, "y": 0.8 }, "kind": "legend", "text": "Internet, TV, Outdoor, Print, Radio, Internet % of Total", "attrs": null, "canon": { "kind": { "name": "Legend", "slug": "legend", "status": "active", "canonId": "31361933-3d22-4c70-bbad-0801e9fffc0c", "version": 1, "description": "Color/symbol decoder placed adjacent to a chart or diagram." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:52.862+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "58df8c3c-7d76-434a-bbfc-b6bcd9d04004", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Internet % of Total Ad Spend: 42%", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:23+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f2e-d5b4ed07ae8b", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.6, "x": 0.02, "y": 0.02 }, "kind": "title", "text": "China Online Advertising > TV (2015)... Online > 42% Total Ad Spend vs. 39% in USA", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Action title", "slug": "action-title", "status": "active", "canonId": "019de52c-fb31-734c-a0f5-a3935b73135d", "version": 1, "description": null }, "framework": null }, "subkind": "action-title", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:52.862+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "f695641c-3013-4cd2-9c6e-756ebfd4d126", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.6, "x": 0.2, "y": 0.18 }, "kind": "title", "text": "China Annual Advertising Spend by Medium, 2007 – 2016E", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:52.862+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "70909c43-1898-446a-a985-026c5b1be244", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-f6a1-726a-820c-47e83ad2d69d", "evidence": "China online > TV (2015), 42% vs USA 39%.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 85, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 170, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." }, { "tool": { "name": "Annotation", "slug": "annotation", "status": "active", "bestFor": null, "canonId": "019dd956-b5b9-7668-bf0e-3af99823ec5c", "version": 1, "bodyDocId": null, "description": "Adding explanatory labels to highlight key data points", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "019de7d7-f6c0-712e-af5d-6318acff5c95", "evidence": "Red circle marks 2015 crossover.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 75, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 170, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 193, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 161, "name": "Evidence & Proof", "beatId": "019de7d7-dfdb-71ae-ab61-8a3533e45ef2", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "China leadership data + public/private company financials.", "position": 4, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 182, "from": 162, "loop": { "name": "04_tale_two_worlds", "slug": "04-tale-two-worlds", "status": "active", "bestFor": "Competitive analysis, benchmarking, case for change", "canonId": "019dd956-674f-750b-b15d-f082e2717f4e", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "Current State -> Desired State / Benchmark -> The Gap & Implication", "description": "Show the gap between two states to drive urgency or highlight opportunity", "familyLabel": null }, "matchId": "019de7d7-e26c-70ce-a296-8864b88dd4d8", "evidence": "p170 online ads > USA share, pp171-172 e-commerce share, p176 payment frequency, p181 70% global on-demand share.", "position": 11, "objective": "Benchmark China internet metrics against USA to argue China leads on many fronts", "confidence": 82, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 171, "type": "setup", "title": "The slide uses a bar chart to compare revenue, with a specific callout for 'Pure-Play E-Commerce' in the China chart.", "function": "compare_peers", "rawType": "comparison_table", "block": null, "metadata": { "slideType": "comparison_table", "slideTypeCanon": { "name": "Comparison table", "slug": "comparison_table", "status": "active", "canonId": "019de52d-0a06-73f8-8813-fe022fab1de2", "version": 1, "description": null }, "function": "compare_peers", "functionCanon": { "name": "Compare peers", "slug": "compare_peers", "status": "active", "canonId": "019de52d-1453-72ba-a367-9ba3d34c1630", "version": 1, "description": null }, "density": "dense", "densityScore": 53, "componentCount": 6, "textChars": 525, "nDataPoints": 14, "notes": "The slide uses a bar chart to compare revenue, with a specific callout for 'Pure-Play E-Commerce' in the China chart.", "elementsJson": [ "bar_chart_horizontal", "bar_chart_horizontal" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:51.954+00", "seconds": 3.013, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/171", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-171", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "Pure-Play E-Commerce", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:23+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f2e-651ce69d8552", "parentComponentId": null }, { "bbox": { "h": 0.7, "w": 0.4, "x": 0.05, "y": 0.15 }, "kind": "chart", "text": "China Top 7 Retailers by Revenue*, 2015", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Horizontal bar chart", "slug": "bar-horizontal", "status": "active", "canonId": "019de52c-fec4-7221-986b-1cb5f5e84b1f", "version": 1, "description": null }, "framework": null }, "subkind": "bar-horizontal", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:51.954+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "561bdb97-1de1-4b9f-8aa9-b70361eb3c56", "parentComponentId": null }, { "bbox": { "h": 0.7, "w": 0.4, "x": 0.55, "y": 0.15 }, "kind": "chart", "text": "USA Top 7 Retailers by Revenue*, 2015", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Horizontal bar chart", "slug": "bar-horizontal", "status": "active", "canonId": "019de52c-fec4-7221-986b-1cb5f5e84b1f", "version": 1, "description": null }, "framework": null }, "subkind": "bar-horizontal", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:51.954+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "932cdbb6-a225-41d3-a00c-b13a920a62b6", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Revenue", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:23+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f2e-68075253600a", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.6, "x": 0.1, "y": 0.92 }, "kind": "source-note", "text": "Source: Euromonitor. Note: *Revenue defined as retail value of goods excluding tax, and excluding certain transaction categories such as consumer-to-consumer, motor vehicles & auto parts, tickets, travel bookings, delivery foodservice, returns, and others, hence may differ from company disclosed total revenue or gross merchandise value figures.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:51.954+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "036e9a08-989c-41bc-ae91-7df270d07a03", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.96, "x": 0.02, "y": 0.02 }, "kind": "title", "text": "China E-Commerce Companies = Dominate Top Retailer Rankings vs. USA Peers...", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:51.954+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "26021d45-dc1b-487d-a236-4a8af631370b", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-f6e0-75ff-8faf-8d1a10a03355", "evidence": "China retailers dominate top rankings vs USA.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 80, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 171, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." }, { "tool": { "name": "Color Strategy", "slug": "color-strategy", "status": "active", "bestFor": null, "canonId": "019dd956-b202-77cf-8a6e-f445b08c0fd3", "version": 1, "bodyDocId": null, "description": "Using color for emphasis, categories, sentiment, and hierarchy", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "019de7d7-f74a-725b-a604-6889828902c8", "evidence": "Color marks pure-play e-commerce.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 72, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 171, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Slide recipe: the peer-gap chart", "slug": "peer-gap-chart-recipe", "status": "active", "bestFor": null, "canonId": "019df269-2b04-75bc-ad85-e0179264bdd7", "version": 1, "bodyDocId": "019df269-2ae1-771d-9cd1-193a2e25f21c", "description": "The single most-copied slide in activism. This is the exact layout, used", "familyLabel": "slide-recipe", "categoryName": "Slide", "categorySlug": "slide" }, "agent": "designer", "layer": "slide", "agents": [ "designer" ], "matchId": "26a55b47-5a66-4a17-bafb-7abdba60d3e0", "evidence": "The slide shows a comparison between China and USA retailers, which is similar to a peer-gap chart", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:00:28.84992+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 171, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [ { "matchId": "44e7922e-f236-47f5-9e75-8dcc3054b051", "evidence": "Side-by-side bar charts comparing China and USA retail markets.", "framework": null, "confidence": 0.9, "extraction": { "at": "2026-05-02 17:38:51.954+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 171, "frameworkName": "comparison-frame" } ], "arcBeats": [ { "to": 193, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 161, "name": "Evidence & Proof", "beatId": "019de7d7-dfdb-71ae-ab61-8a3533e45ef2", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "China leadership data + public/private company financials.", "position": 4, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 182, "from": 162, "loop": { "name": "04_tale_two_worlds", "slug": "04-tale-two-worlds", "status": "active", "bestFor": "Competitive analysis, benchmarking, case for change", "canonId": "019dd956-674f-750b-b15d-f082e2717f4e", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "Current State -> Desired State / Benchmark -> The Gap & Implication", "description": "Show the gap between two states to drive urgency or highlight opportunity", "familyLabel": null }, "matchId": "019de7d7-e26c-70ce-a296-8864b88dd4d8", "evidence": "p170 online ads > USA share, pp171-172 e-commerce share, p176 payment frequency, p181 70% global on-demand share.", "position": 11, "objective": "Benchmark China internet metrics against USA to argue China leads on many fronts", "confidence": 82, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 172, "type": "setup", "title": "The slide uses dual line charts to contrast the rapid growth of Alibaba and JD.com against the slower growth of Amazon and eBay.", "function": "compare_peers", "rawType": "comparison_table", "block": null, "metadata": { "slideType": "comparison_table", "slideTypeCanon": { "name": "Comparison table", "slug": "comparison_table", "status": "active", "canonId": "019de52d-0a06-73f8-8813-fe022fab1de2", "version": 1, "description": null }, "function": "compare_peers", "functionCanon": { "name": "Compare peers", "slug": "compare_peers", "status": "active", "canonId": "019de52d-1453-72ba-a367-9ba3d34c1630", "version": 1, "description": null }, "density": "balanced", "densityScore": 46, "componentCount": 5, "textChars": 542, "nDataPoints": 20, "notes": "The slide uses dual line charts to contrast the rapid growth of Alibaba and JD.com against the slower growth of Amazon and eBay.", "elementsJson": [ "headline_text", "line_chart" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:51.979+00", "seconds": 2.947, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/172", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-172", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.6, "w": 0.4, "x": 0.55, "y": 0.15 }, "kind": "chart", "text": "Share of USA Total Retail Revenue, 2010-2015", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Line chart", "slug": "line", "status": "active", "canonId": "019de52c-ff62-778f-8f6c-a952ceae8677", "version": 1, "description": null }, "framework": null }, "subkind": "line", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:51.979+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "38cc1960-9aa6-4aec-8bbd-bd3866b3fedc", "parentComponentId": null }, { "bbox": { "h": 0.6, "w": 0.4, "x": 0.1, "y": 0.15 }, "kind": "chart", "text": "Share of China Total Retail Revenue, 2010-2015", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Line chart", "slug": "line", "status": "active", "canonId": "019de52c-ff62-778f-8f6c-a952ceae8677", "version": 1, "description": null }, "framework": null }, "subkind": "line", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:51.979+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "9e4e5b9e-4bb4-4f52-adf8-1ec9cff369e3", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Share of Total Retail Revenue", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:25+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f2f-4dd2346aeb22", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.6, "x": 0.1, "y": 0.9 }, "kind": "source-note", "text": "Source: Euromonitor. Note: *Revenue defined as retail value of goods excluding tax, and excluding certain transaction categories such as consumer-to-consumer, motor vehicles & auto parts, tickets, travel bookings, delivery foodservice, returns, and others, hence may differ from company disclosed total revenue or gross merchandise value figures.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:51.979+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "3eaa3697-390c-447c-ab00-46992ff3df09", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.9, "x": 0.05, "y": 0.05 }, "kind": "title", "text": "...China E-Commerce Companies = Gaining Retail Share Faster than USA Peers...", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:51.979+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "3411accc-d9de-47cc-a8dd-fa4e28d14e23", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Contrast Pairs", "slug": "contrast-pairs", "status": "active", "bestFor": null, "canonId": "019dd956-9b77-70d3-88b1-f34e26f60860", "version": 1, "bodyDocId": null, "description": "Creating tension through opposites: Before↔After, Problem↔Solution, Pain↔Relief", "familyLabel": null, "categoryName": "Loop", "categorySlug": "loop" }, "agent": "Storyteller", "layer": "loop", "agents": [ "Storyteller" ], "matchId": "019de7d7-f769-729e-a903-97e47b50bc02", "evidence": "China vs USA share-growth lines side by side.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 172, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [ { "matchId": "62d0f51d-871c-49c0-8c72-98097d4f7f2e", "evidence": "Direct side-by-side comparison of China vs USA market share growth.", "framework": null, "confidence": 0.9, "extraction": { "at": "2026-05-02 17:38:51.979+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 172, "frameworkName": "comparison_frame" } ], "arcBeats": [ { "to": 193, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 161, "name": "Evidence & Proof", "beatId": "019de7d7-dfdb-71ae-ab61-8a3533e45ef2", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "China leadership data + public/private company financials.", "position": 4, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 182, "from": 162, "loop": { "name": "04_tale_two_worlds", "slug": "04-tale-two-worlds", "status": "active", "bestFor": "Competitive analysis, benchmarking, case for change", "canonId": "019dd956-674f-750b-b15d-f082e2717f4e", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "Current State -> Desired State / Benchmark -> The Gap & Implication", "description": "Show the gap between two states to drive urgency or highlight opportunity", "familyLabel": null }, "matchId": "019de7d7-e26c-70ce-a296-8864b88dd4d8", "evidence": "p170 online ads > USA share, pp171-172 e-commerce share, p176 payment frequency, p181 70% global on-demand share.", "position": 11, "objective": "Benchmark China internet metrics against USA to argue China leads on many fronts", "confidence": 82, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 173, "type": "analysis", "title": "The slide uses a bar chart to show year-over-year growth and a donut chart to show channel distribution.", "function": "quantify_impact", "rawType": "industry_trends", "block": null, "metadata": { "slideType": "industry_trends", "slideTypeCanon": { "name": "Industry trends", "slug": "industry_trends", "status": "active", "canonId": "019de52d-0b1d-7705-a0e0-c663199cd1fa", "version": 1, "description": null }, "function": "quantify_impact", "functionCanon": { "name": "Quantify impact", "slug": "quantify_impact", "status": "active", "canonId": "019de52d-1630-720d-b57d-fa7f76bebd8d", "version": 1, "description": null }, "density": "balanced", "densityScore": 33, "componentCount": 5, "textChars": 301, "nDataPoints": 6, "notes": "The slide uses a bar chart to show year-over-year growth and a donut chart to show channel distribution.", "elementsJson": [ "headline_text", "bar_chart_vertical", "donut_chart" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:54.297+00", "seconds": 5.189, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/173", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-173", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.6, "w": 0.45, "x": 0.05, "y": 0.2 }, "kind": "chart", "text": "% of WeChat Users Making E-Commerce Purchase Through WeChat", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Vertical bar chart", "slug": "bar-vertical", "status": "active", "canonId": "019de52c-fe9d-70f2-b3b7-a9ae294f5917", "version": 1, "description": null }, "framework": null }, "subkind": "bar-vertical", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:54.297+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "16240b33-c283-41b7-b479-57e42e4c2f61", "parentComponentId": null }, { "bbox": { "h": 0.6, "w": 0.4, "x": 0.55, "y": 0.2 }, "kind": "chart", "text": "Channels Through Which Users Made E-Commerce Purchase", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Donut chart", "slug": "donut", "status": "active", "canonId": "019de52d-0006-752c-9528-0fef476b8004", "version": 1, "description": null }, "framework": null }, "subkind": "donut", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:54.297+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "ee63b2ad-9ce7-4635-ae09-8dba4da2e756", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "WeChat e-commerce penetration: 31%", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:26+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f2f-966d07ba3160", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.2, "x": 0.1, "y": 0.95 }, "kind": "source-note", "text": "Source: McKinsey's 2016 China Digital Consumer Survey Report.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:54.297+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "350ef25a-df5e-4bd9-9364-d7c1c36cc209", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.9, "x": 0.05, "y": 0.05 }, "kind": "title", "text": "...China E-Commerce = Becoming More Social... 31% of WeChat Users Purchase via WeChat, +2x Y/Y", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:54.297+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "326df8b6-72ff-4cc2-946d-93bbcb7f783e", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 193, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 161, "name": "Evidence & Proof", "beatId": "019de7d7-dfdb-71ae-ab61-8a3533e45ef2", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "China leadership data + public/private company financials.", "position": 4, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 182, "from": 162, "loop": { "name": "04_tale_two_worlds", "slug": "04-tale-two-worlds", "status": "active", "bestFor": "Competitive analysis, benchmarking, case for change", "canonId": "019dd956-674f-750b-b15d-f082e2717f4e", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "Current State -> Desired State / Benchmark -> The Gap & Implication", "description": "Show the gap between two states to drive urgency or highlight opportunity", "familyLabel": null }, "matchId": "019de7d7-e26c-70ce-a296-8864b88dd4d8", "evidence": "p170 online ads > USA share, pp171-172 e-commerce share, p176 payment frequency, p181 70% global on-demand share.", "position": 11, "objective": "Benchmark China internet metrics against USA to argue China leads on many fronts", "confidence": 82, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 174, "type": "setup", "title": "The slide highlights the 'super-app' nature of Ctrip compared to the focused utility of Priceline.", "function": "compare_options", "rawType": "comparison_table", "block": null, "metadata": { "slideType": "comparison_table", "slideTypeCanon": { "name": "Comparison table", "slug": "comparison_table", "status": "active", "canonId": "019de52d-0a06-73f8-8813-fe022fab1de2", "version": 1, "description": null }, "function": "compare_options", "functionCanon": { "name": "Compare options", "slug": "compare_options", "status": "active", "canonId": "019de52d-167f-7038-aebc-70a9d2e0e33b", "version": 1, "description": null }, "density": "balanced", "densityScore": 36, "componentCount": 6, "textChars": 317, "nDataPoints": 0, "notes": "The slide highlights the 'super-app' nature of Ctrip compared to the focused utility of Priceline.", "elementsJson": [ "headline_text", "screenshot", "other" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:52.369+00", "seconds": 3.238, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/174", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-174", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.6, "w": 0.26, "x": 0.04, "y": 0.25 }, "kind": "image", "text": "Priceline App", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Screenshot", "slug": "screenshot", "status": "active", "canonId": "019de52c-fd87-7509-8391-3d79fb339379", "version": 1, "description": null }, "framework": null }, "subkind": "screenshot", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:52.369+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "4791a2f7-cbc0-4a4e-858a-61051e4997d1", "parentComponentId": null }, { "bbox": { "h": 0.6, "w": 0.26, "x": 0.53, "y": 0.25 }, "kind": "image", "text": "Ctrip App", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Screenshot", "slug": "screenshot", "status": "active", "canonId": "019de52c-fd87-7509-8391-3d79fb339379", "version": 1, "description": null }, "framework": null }, "subkind": "screenshot", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:52.369+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "cb60af08-7dbf-4bb2-b325-f9213a0e9167", "parentComponentId": null }, { "bbox": { "h": 0.5, "w": 0.15, "x": 0.82, "y": 0.3 }, "kind": "list", "text": "B&B, Hostel; Train/Bus/Ferry Ticket; Destination Guide; Portable Wi-Fi; Travel Visa/Insurance; 24/7 Customer Service", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:52.369+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "c6680c00-9818-4fa6-a095-c86a1f078806", "parentComponentId": null }, { "bbox": { "h": 0.5, "w": 0.2, "x": 0.35, "y": 0.3 }, "kind": "list", "text": "Ctrip service categories: Hotel, Transport, Tour, Attraction, Restaurant, Shopping/Currency", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Comparison list", "slug": "comparison", "status": "active", "canonId": "019de52c-fce7-733e-99d3-030a104727bf", "version": 1, "description": null }, "framework": null }, "subkind": "comparison", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:52.369+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "761e4d44-c085-4bc6-9e6c-7a9a2b03909e", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.1, "x": 0.02, "y": 0.95 }, "kind": "source-note", "text": "Source: Priceline, Ctrip.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:52.369+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "f9bee715-08c5-496e-8c0f-19bed149adb1", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.6, "x": 0.02, "y": 0.02 }, "kind": "title", "text": "China Travel...Ctrip = Expansive One-Stop-Shop for Travelers...", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:52.369+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "3db750f7-170d-44e6-b4f4-cea0c080a5de", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 193, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 161, "name": "Evidence & Proof", "beatId": "019de7d7-dfdb-71ae-ab61-8a3533e45ef2", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "China leadership data + public/private company financials.", "position": 4, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 182, "from": 162, "loop": { "name": "04_tale_two_worlds", "slug": "04-tale-two-worlds", "status": "active", "bestFor": "Competitive analysis, benchmarking, case for change", "canonId": "019dd956-674f-750b-b15d-f082e2717f4e", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "Current State -> Desired State / Benchmark -> The Gap & Implication", "description": "Show the gap between two states to drive urgency or highlight opportunity", "familyLabel": null }, "matchId": "019de7d7-e26c-70ce-a296-8864b88dd4d8", "evidence": "p170 online ads > USA share, pp171-172 e-commerce share, p176 payment frequency, p181 70% global on-demand share.", "position": 11, "objective": "Benchmark China internet metrics against USA to argue China leads on many fronts", "confidence": 82, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 175, "type": "analysis", "title": "The slide uses a line chart to show historical penetration trends and a horizontal bar chart to show current spending leadership.", "function": "size_opportunity", "rawType": "market_landscape", "block": null, "metadata": { "slideType": "market_landscape", "slideTypeCanon": { "name": "Market landscape", "slug": "market_landscape", "status": "active", "canonId": "019de52d-0b6d-75db-a946-9ac362e3afc2", "version": 1, "description": null }, "function": "size_opportunity", "functionCanon": { "name": "Size opportunity", "slug": "size_opportunity", "status": "active", "canonId": "019de52d-147b-7568-8828-a74a27697618", "version": 1, "description": null }, "density": "balanced", "densityScore": 33, "componentCount": 5, "textChars": 260, "nDataPoints": 20, "notes": "The slide uses a line chart to show historical penetration trends and a horizontal bar chart to show current spending leadership.", "elementsJson": [ "headline_text", "line_chart", "bar_chart_horizontal" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:52.12+00", "seconds": 2.656, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/175", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-175", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.6, "w": 0.4, "x": 0.55, "y": 0.2 }, "kind": "chart", "text": "Top 10 Outbound Tourism Spending Country, 2014", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Horizontal bar chart", "slug": "bar-horizontal", "status": "active", "canonId": "019de52c-fec4-7221-986b-1cb5f5e84b1f", "version": 1, "description": null }, "framework": null }, "subkind": "bar-horizontal", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:52.12+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "dc68390a-3575-4ddc-9dcf-cbcf16595e68", "parentComponentId": null }, { "bbox": { "h": 0.6, "w": 0.45, "x": 0.05, "y": 0.2 }, "kind": "chart", "text": "Outbound Departures as % of Population, 1970 – 2015", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Line chart", "slug": "line", "status": "active", "canonId": "019de52c-ff62-778f-8f6c-a952ceae8677", "version": 1, "description": null }, "framework": null }, "subkind": "line", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:52.12+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "0cb8ee82-6495-4dd0-96f3-435b337a3d1d", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Outbound Tourism Spending: $165B", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:23+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f2e-ef50ff7122f1", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.1, "x": 0.1, "y": 0.95 }, "kind": "source-note", "text": "Source: CLSA, World Bank.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:52.12+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "7ddc42d8-abda-4316-ba97-d86d7bf6a27a", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.9, "x": 0.03, "y": 0.03 }, "kind": "title", "text": "...China Outbound Travel Penetration @ Inflection Point = Already World’s Biggest Outbound Tourism Spender", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:52.12+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "c6e58ea6-8782-4ef2-81d7-c3afde668c2d", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 193, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 161, "name": "Evidence & Proof", "beatId": "019de7d7-dfdb-71ae-ab61-8a3533e45ef2", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "China leadership data + public/private company financials.", "position": 4, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 182, "from": 162, "loop": { "name": "04_tale_two_worlds", "slug": "04-tale-two-worlds", "status": "active", "bestFor": "Competitive analysis, benchmarking, case for change", "canonId": "019dd956-674f-750b-b15d-f082e2717f4e", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "Current State -> Desired State / Benchmark -> The Gap & Implication", "description": "Show the gap between two states to drive urgency or highlight opportunity", "familyLabel": null }, "matchId": "019de7d7-e26c-70ce-a296-8864b88dd4d8", "evidence": "p170 online ads > USA share, pp171-172 e-commerce share, p176 payment frequency, p181 70% global on-demand share.", "position": 11, "objective": "Benchmark China internet metrics against USA to argue China leads on many fronts", "confidence": 82, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 176, "type": "setup", "title": "The chart highlights significantly higher engagement for Chinese mobile payment solutions compared to traditional US card-based payments.", "function": "compare_peers", "rawType": "comparison_table", "block": null, "metadata": { "slideType": "comparison_table", "slideTypeCanon": { "name": "Comparison table", "slug": "comparison_table", "status": "active", "canonId": "019de52d-0a06-73f8-8813-fe022fab1de2", "version": 1, "description": null }, "function": "compare_peers", "functionCanon": { "name": "Compare peers", "slug": "compare_peers", "status": "active", "canonId": "019de52d-1453-72ba-a367-9ba3d34c1630", "version": 1, "description": null }, "density": "balanced", "densityScore": 46, "componentCount": 5, "textChars": 646, "nDataPoints": 4, "notes": "The chart highlights significantly higher engagement for Chinese mobile payment solutions compared to traditional US card-based payments.", "elementsJson": [ "headline_text", "bar_chart_horizontal", "footnote" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:52.343+00", "seconds": 2.838, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/176", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-176", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.5, "w": 0.8, "x": 0.1, "y": 0.3 }, "kind": "chart", "text": "Bar chart showing monthly transactions for WeChat Payment, USA Debit Card, AliPay, and USA Credit Card.", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Horizontal bar chart", "slug": "bar-horizontal", "status": "active", "canonId": "019de52c-fec4-7221-986b-1cb5f5e84b1f", "version": 1, "description": null }, "framework": null }, "subkind": "bar-horizontal", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:52.343+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "03fec4da-eee3-440a-bef3-134d8f38f9d4", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Monthly payment transactions per user: 50+", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:23+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f2e-b932bd3cef18", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.6, "x": 0.1, "y": 0.9 }, "kind": "source-note", "text": "Source: US debit and credit card data defined as number of payments (including online and offline) a month per active general-purpose card. Active cards are those used to make at least one purchase or bill payment in a month. Data per 2013 Federal Reserve Payments Study. AliPay / WeChat Pay stats per Hillhouse estimates. WeChat data includes peer-to-peer payments such as virtual Red Envelopes.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:52.343+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "9168e154-c52f-4ee2-ace9-f8cc5586ac72", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.7, "x": 0.02, "y": 0.02 }, "kind": "title", "text": "China Smartphone-Based Payment Solutions = High Engagement", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:52.343+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "da742a8b-f1f7-4786-8869-f9b710c3e30f", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.6, "x": 0.2, "y": 0.22 }, "kind": "title", "text": "Estimated Monthly Payment Transactions per User", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Subtitle", "slug": "subtitle", "status": "active", "canonId": "019de52c-fb09-739d-900c-815b0d9ac526", "version": 1, "description": null }, "framework": null }, "subkind": "subtitle", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:52.343+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "ddcc7f7d-a09f-494f-a8e4-8bd352e998a3", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 193, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 161, "name": "Evidence & Proof", "beatId": "019de7d7-dfdb-71ae-ab61-8a3533e45ef2", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "China leadership data + public/private company financials.", "position": 4, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 182, "from": 162, "loop": { "name": "04_tale_two_worlds", "slug": "04-tale-two-worlds", "status": "active", "bestFor": "Competitive analysis, benchmarking, case for change", "canonId": "019dd956-674f-750b-b15d-f082e2717f4e", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "Current State -> Desired State / Benchmark -> The Gap & Implication", "description": "Show the gap between two states to drive urgency or highlight opportunity", "familyLabel": null }, "matchId": "019de7d7-e26c-70ce-a296-8864b88dd4d8", "evidence": "p170 online ads > USA share, pp171-172 e-commerce share, p176 payment frequency, p181 70% global on-demand share.", "position": 11, "objective": "Benchmark China internet metrics against USA to argue China leads on many fronts", "confidence": 82, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 177, "type": "analysis", "title": "The chart uses a visual arrow to emphasize the growth between 2015 and 2016.", "function": "quantify_impact", "rawType": "data_table", "block": null, "metadata": { "slideType": "data_table", "slideTypeCanon": { "name": "Data table", "slug": "data_table", "status": "active", "canonId": "019de52d-0bbd-71b9-9918-417f904abbf8", "version": 1, "description": null }, "function": "quantify_impact", "functionCanon": { "name": "Quantify impact", "slug": "quantify_impact", "status": "active", "canonId": "019de52d-1630-720d-b57d-fa7f76bebd8d", "version": 1, "description": null }, "density": "sparse", "densityScore": 21, "componentCount": 4, "textChars": 193, "nDataPoints": 3, "notes": "The chart uses a visual arrow to emphasize the growth between 2015 and 2016.", "elementsJson": [ "headline_text", "bar_chart_vertical" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:52.695+00", "seconds": 2.587, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/177", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-177", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.7, "w": 0.7, "x": 0.15, "y": 0.15 }, "kind": "chart", "text": "WeChat Virtual Red Envelopes Sent – Chinese New Years Eve, 2014 – 2016", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Vertical bar chart", "slug": "bar-vertical", "status": "active", "canonId": "019de52c-fe9d-70f2-b3b7-a9ae294f5917", "version": 1, "description": null }, "framework": null }, "subkind": "bar-vertical", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:52.695+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "7154d1bd-4505-4d0d-aac4-9eb17ce84b6b", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Virtual Red Envelopes Sent: 8B", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:29+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f2f-acc28a93a998", "parentComponentId": null }, { "bbox": { "h": 0.02, "w": 0.05, "x": 0.1, "y": 0.95 }, "kind": "source-note", "text": "Source: Tencent.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:52.695+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "82858a67-b8cb-47fa-b086-71057c54e0dc", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.65, "x": 0.02, "y": 0.02 }, "kind": "title", "text": "WeChat Chinese New Year Payments = 8B Virtual Red Envelopes Sent, + 8x Y/Y...", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:52.695+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "07df72bd-7f68-4af0-ba7a-9ab0cedd0080", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 193, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 161, "name": "Evidence & Proof", "beatId": "019de7d7-dfdb-71ae-ab61-8a3533e45ef2", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "China leadership data + public/private company financials.", "position": 4, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 182, "from": 162, "loop": { "name": "04_tale_two_worlds", "slug": "04-tale-two-worlds", "status": "active", "bestFor": "Competitive analysis, benchmarking, case for change", "canonId": "019dd956-674f-750b-b15d-f082e2717f4e", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "Current State -> Desired State / Benchmark -> The Gap & Implication", "description": "Show the gap between two states to drive urgency or highlight opportunity", "familyLabel": null }, "matchId": "019de7d7-e26c-70ce-a296-8864b88dd4d8", "evidence": "p170 online ads > USA share, pp171-172 e-commerce share, p176 payment frequency, p181 70% global on-demand share.", "position": 11, "objective": "Benchmark China internet metrics against USA to argue China leads on many fronts", "confidence": 82, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 178, "type": "evidence", "title": "The slide uses screenshots of the WeChat interface to demonstrate the user flow.", "function": "illustrate_case", "rawType": "client_example", "block": null, "metadata": { "slideType": "client_example", "slideTypeCanon": { "name": "Client example", "slug": "client_example", "status": "active", "canonId": "019de52d-0c87-77cb-9867-613ae22e95ac", "version": 1, "description": null }, "function": "illustrate_case", "functionCanon": { "name": "Illustrate case", "slug": "illustrate_case", "status": "active", "canonId": "019de52d-13b4-772c-bb73-1873612a7463", "version": 1, "description": null }, "density": "balanced", "densityScore": 40, "componentCount": 5, "textChars": 597, "nDataPoints": 0, "notes": "The slide uses screenshots of the WeChat interface to demonstrate the user flow.", "elementsJson": [ "headline_text", "screenshot", "bullet_list" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:55.19+00", "seconds": 5.047, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/178", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-178", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "Public Account enables merchants to reach existing customers for future marketing and CRM.", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:24+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f2f-2bcdd190f2cd", "parentComponentId": null }, { "bbox": { "h": 0.7, "w": 0.6, "x": 0.05, "y": 0.17 }, "kind": "image", "text": "Screenshots of WeChat payment flow and public account interaction", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Screenshot", "slug": "screenshot", "status": "active", "canonId": "019de52c-fd87-7509-8391-3d79fb339379", "version": 1, "description": null }, "framework": null }, "subkind": "screenshot", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:55.19+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "4e6bc901-2eda-495d-ac93-3866dc627335", "parentComponentId": null }, { "bbox": { "h": 0.8, "w": 0.28, "x": 0.7, "y": 0.15 }, "kind": "list", "text": "After successful payment, consumers will follow McDonald's public account on Weixin by default.\nPublic Account enables merchants to reach existing customers for future marketing and CRM.\nAfter successful payment, an e-receipt will also pop up automatically via the public account of Weixin Pay.\nThe public account allows consumers to review all historical transactions.", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:55.19+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "04797462-1c91-4ae4-a2dd-7b2540dce1a7", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.1, "x": 0.1, "y": 0.95 }, "kind": "source-note", "text": "Source: 86 Research.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:55.19+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "d168e999-5348-424b-860f-3360cb5df59e", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.6, "x": 0.02, "y": 0.02 }, "kind": "title", "text": "...WeChat Payments = Can Drive Merchant Loyalty & CRM", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:55.19+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "fc27ae35-87f6-46c2-86ad-5fc8f0cd88ca", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 193, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 161, "name": "Evidence & Proof", "beatId": "019de7d7-dfdb-71ae-ab61-8a3533e45ef2", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "China leadership data + public/private company financials.", "position": 4, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 182, "from": 162, "loop": { "name": "04_tale_two_worlds", "slug": "04-tale-two-worlds", "status": "active", "bestFor": "Competitive analysis, benchmarking, case for change", "canonId": "019dd956-674f-750b-b15d-f082e2717f4e", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "Current State -> Desired State / Benchmark -> The Gap & Implication", "description": "Show the gap between two states to drive urgency or highlight opportunity", "familyLabel": null }, "matchId": "019de7d7-e26c-70ce-a296-8864b88dd4d8", "evidence": "p170 online ads > USA share, pp171-172 e-commerce share, p176 payment frequency, p181 70% global on-demand share.", "position": 11, "objective": "Benchmark China internet metrics against USA to argue China leads on many fronts", "confidence": 82, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 179, "type": "analysis", "title": "The diagram uses a hub-and-spoke layout to show how core payment services anchor other financial products.", "function": "present_framework", "rawType": "market_landscape", "block": null, "metadata": { "slideType": "market_landscape", "slideTypeCanon": { "name": "Market landscape", "slug": "market_landscape", "status": "active", "canonId": "019de52d-0b6d-75db-a946-9ac362e3afc2", "version": 1, "description": null }, "function": "present_framework", "functionCanon": { "name": "Present framework", "slug": "present_framework", "status": "active", "canonId": "019de52d-1403-7667-9100-d2ac6709f750", "version": 1, "description": null }, "density": "balanced", "densityScore": 26, "componentCount": 4, "textChars": 297, "nDataPoints": 5, "notes": "The diagram uses a hub-and-spoke layout to show how core payment services anchor other financial products.", "elementsJson": [ "headline_text", "infographic" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:52.53+00", "seconds": 2.382, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/179", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-179", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.7, "w": 0.7, "x": 0.15, "y": 0.2 }, "kind": "framework", "text": "Hub-and-spoke diagram showing Payment as the core service with four surrounding financial service categories.", "attrs": null, "canon": { "kind": { "name": "Framework", "slug": "framework", "status": "active", "canonId": "019de52c-fa18-77c6-b10a-ccb8277ac0fa", "version": 1, "description": "Named conceptual framework instance." }, "tool": null, "subkind": { "name": "Framework instance", "slug": "instance", "status": "active", "canonId": "019de52d-05a2-72af-be0b-7edc60708a03", "version": 1, "description": null }, "framework": null }, "subkind": "instance", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:52.53+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "1ab51b4e-ac93-4d04-8d59-e95c9ce5444c", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Valuation: $60B", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:24+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f2f-16520b594a2c", "parentComponentId": null }, { "bbox": { "h": 0.04, "w": 0.2, "x": 0.1, "y": 0.94 }, "kind": "source-note", "text": "Source: Media reports, Ant Financial. *Financing in 4/16", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:52.53+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "3d489b7e-9b49-4c71-b4b3-f624b79683d4", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.96, "x": 0.02, "y": 0.02 }, "kind": "title", "text": "Ant Financial (~$60B Valuation*) = Leveraging Alibaba AliPay Scale... Building China Financial Services One-Stop-Shop", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:52.53+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "71964db3-e0ac-4a6f-9fa3-a436206e0a8e", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Metaphor & Analogy", "slug": "metaphor-analogy", "status": "active", "bestFor": null, "canonId": "019dd956-adea-7729-bca1-70810d6238a9", "version": 1, "bodyDocId": null, "description": "Making abstract concepts concrete through familiar comparisons", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "019de7d7-f789-754d-8284-fc80adca15c4", "evidence": "Hub-and-spoke diagram of Ant Financial services.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 72, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 179, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Picture Superiority Effect", "slug": "picture-superiority-effect", "status": "active", "bestFor": null, "canonId": "019dd956-c201-7014-bb58-3e85e3e11dfd", "version": 1, "bodyDocId": null, "description": "Pictures remembered 6x better than words - prioritize visuals over text", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "019de7d7-f7a9-725f-8857-20b06e857a01", "evidence": "Visual hub diagram makes ecosystem tangible.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 179, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [ { "matchId": "019de7d7-fe55-7289-8628-0a2749ac8e49", "evidence": "Payment hub with four satellite financial services.", "framework": null, "confidence": 70, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 179, "frameworkName": "Hub-and-spoke (Flywheel-style ecosystem)" }, { "matchId": "34f36772-adad-45d0-8e46-a1dc467468ac", "evidence": "Central node (Payment) connected to peripheral nodes (Savings, Lending, etc.)", "framework": null, "confidence": 1, "extraction": { "at": "2026-05-02 17:38:52.53+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 179, "frameworkName": "hub-spoke" } ], "arcBeats": [ { "to": 193, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 161, "name": "Evidence & Proof", "beatId": "019de7d7-dfdb-71ae-ab61-8a3533e45ef2", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "China leadership data + public/private company financials.", "position": 4, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 182, "from": 162, "loop": { "name": "04_tale_two_worlds", "slug": "04-tale-two-worlds", "status": "active", "bestFor": "Competitive analysis, benchmarking, case for change", "canonId": "019dd956-674f-750b-b15d-f082e2717f4e", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "Current State -> Desired State / Benchmark -> The Gap & Implication", "description": "Show the gap between two states to drive urgency or highlight opportunity", "familyLabel": null }, "matchId": "019de7d7-e26c-70ce-a296-8864b88dd4d8", "evidence": "p170 online ads > USA share, pp171-172 e-commerce share, p176 payment frequency, p181 70% global on-demand share.", "position": 11, "objective": "Benchmark China internet metrics against USA to argue China leads on many fronts", "confidence": 82, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 180, "type": "setup", "function": "transition", "rawType": "section_divider", "block": null, "metadata": { "slideType": "section_divider", "slideTypeCanon": { "name": "Section divider", "slug": "section_divider", "status": "active", "canonId": "019de52d-066a-7402-9554-6ae504999041", "version": 1, "description": null }, "function": "transition", "functionCanon": { "name": "Transition", "slug": "transition", "status": "active", "canonId": "019de52d-1365-7149-92aa-66df859e75fd", "version": 1, "description": null }, "density": "sparse", "densityScore": 2, "componentCount": 1, "textChars": 44, "nDataPoints": 0, "notes": null, "elementsJson": [ "headline_text" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:52.354+00", "seconds": 2.013, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/180", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-180", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.15, "w": 0.62, "x": 0.19, "y": 0.325 }, "kind": "title", "text": "China Internet Emerging Momentum = On-Demand", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:52.354+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "9b557a29-6dc0-4bf6-a77f-0679b99e8d47", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Section divider", "slug": "section-divider", "status": "active", "bestFor": null, "canonId": "019dd9e1-4c66-707d-8d1f-6e14547134c7", "version": 1, "bodyDocId": null, "description": "A transitional slide marking the start of a new section.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "4f5ab90a-d23f-4592-a348-8af036a77c6c", "evidence": "The slide serves as a section divider, highlighting China Internet Emerging Momentum", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.9, "extraction": { "at": "2026-07-16 22:00:29.264448+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 180, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 193, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 161, "name": "Evidence & Proof", "beatId": "019de7d7-dfdb-71ae-ab61-8a3533e45ef2", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "China leadership data + public/private company financials.", "position": 4, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 182, "from": 162, "loop": { "name": "04_tale_two_worlds", "slug": "04-tale-two-worlds", "status": "active", "bestFor": "Competitive analysis, benchmarking, case for change", "canonId": "019dd956-674f-750b-b15d-f082e2717f4e", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "Current State -> Desired State / Benchmark -> The Gap & Implication", "description": "Show the gap between two states to drive urgency or highlight opportunity", "familyLabel": null }, "matchId": "019de7d7-e26c-70ce-a296-8864b88dd4d8", "evidence": "p170 online ads > USA share, pp171-172 e-commerce share, p176 payment frequency, p181 70% global on-demand share.", "position": 11, "objective": "Benchmark China internet metrics against USA to argue China leads on many fronts", "confidence": 82, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 181, "type": "analysis", "title": "The slide uses a series of pie charts of increasing size to represent both total volume growth and regional composition.", "function": "size_opportunity", "rawType": "market_landscape", "block": null, "metadata": { "slideType": "market_landscape", "slideTypeCanon": { "name": "Market landscape", "slug": "market_landscape", "status": "active", "canonId": "019de52d-0b6d-75db-a946-9ac362e3afc2", "version": 1, "description": null }, "function": "size_opportunity", "functionCanon": { "name": "Size opportunity", "slug": "size_opportunity", "status": "active", "canonId": "019de52d-147b-7568-8828-a74a27697618", "version": 1, "description": null }, "density": "dense", "densityScore": 50, "componentCount": 6, "textChars": 481, "nDataPoints": 8, "notes": "The slide uses a series of pie charts of increasing size to represent both total volume growth and regional composition.", "elementsJson": [ "headline_text", "pie_chart", "footnote" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:53.283+00", "seconds": 2.674, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/181", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-181", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.6, "w": 0.9, "x": 0.05, "y": 0.25 }, "kind": "chart", "text": "Series of four pie charts showing regional market share over time", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Pie chart", "slug": "pie", "status": "active", "canonId": "019de52c-ffdb-71bb-a800-5c5ab9f1c373", "version": 1, "description": null }, "framework": null }, "subkind": "pie", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:53.283+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "b0f8d019-3210-4b57-84ae-da6ec69e3ebf", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.5, "x": 0.1, "y": 0.95 }, "kind": "disclaimer", "text": "Source: Hillhouse Capital estimates, include on-demand taxi, private for-hire vehicles, as well as on-demand for-hire motorbike trips booked through smartphone apps.", "attrs": null, "canon": { "kind": { "name": "Disclaimer", "slug": "disclaimer", "status": "active", "canonId": "91173477-d91f-4024-bbaf-d4f93e3f82dc", "version": 1, "description": "Legal/cautionary text that occupies most of the body of its slide." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:53.283+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "fc444c4c-aef4-40dc-9374-fdb6957244c8", "parentComponentId": null }, { "bbox": { "h": 0.3, "w": 0.1, "x": 0.85, "y": 0.4 }, "kind": "legend", "text": "China, N. America, EMEA, India, SE Asia, ROW", "attrs": null, "canon": { "kind": { "name": "Legend", "slug": "legend", "status": "active", "canonId": "31361933-3d22-4c70-bbad-0801e9fffc0c", "version": 1, "description": "Color/symbol decoder placed adjacent to a chart or diagram." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:53.283+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "a4e07769-81fa-4ff9-bcbc-4891f47253a2", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Annualized Trip Volume: 6.3B", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:31+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f30-16a921bc5bcf", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.9, "x": 0.05, "y": 0.05 }, "kind": "title", "text": "China On-Demand Transportation = Global Leader... 4B+ Annualized Trips (+4x Y/Y...~70% Global Share)", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:53.283+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "636b4528-1b04-4137-a7ff-47d961f85504", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.6, "x": 0.2, "y": 0.16 }, "kind": "title", "text": "Annualized Global On-Demand Transportation Trip Volume by Region, Q1:13 – Q1:16", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Subtitle", "slug": "subtitle", "status": "active", "canonId": "019de52c-fb09-739d-900c-815b0d9ac526", "version": 1, "description": null }, "framework": null }, "subkind": "subtitle", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:53.283+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "10cf1d53-cef1-428b-8b38-68f41ef93ec1", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-f80f-7614-aebb-0e03d342f215", "evidence": "China ~70% global on-demand share.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 82, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 181, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." }, { "tool": { "name": "Chart Selection Guide", "slug": "chart-selection-guide", "status": "active", "bestFor": null, "canonId": "019dd956-b1a0-700b-ba17-0e16c4d5bcae", "version": 1, "bodyDocId": null, "description": "Choosing the right chart type for your data and message", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "019de7d7-f82e-73fc-aa3e-f0cf247e8fa9", "evidence": "Size-scaled pies show absolute + share growth.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 65, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 181, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 193, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 161, "name": "Evidence & Proof", "beatId": "019de7d7-dfdb-71ae-ab61-8a3533e45ef2", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "China leadership data + public/private company financials.", "position": 4, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 182, "from": 162, "loop": { "name": "04_tale_two_worlds", "slug": "04-tale-two-worlds", "status": "active", "bestFor": "Competitive analysis, benchmarking, case for change", "canonId": "019dd956-674f-750b-b15d-f082e2717f4e", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "Current State -> Desired State / Benchmark -> The Gap & Implication", "description": "Show the gap between two states to drive urgency or highlight opportunity", "familyLabel": null }, "matchId": "019de7d7-e26c-70ce-a296-8864b88dd4d8", "evidence": "p170 online ads > USA share, pp171-172 e-commerce share, p176 payment frequency, p181 70% global on-demand share.", "position": 11, "objective": "Benchmark China internet metrics against USA to argue China leads on many fronts", "confidence": 82, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 182, "type": "analysis", "title": "The chart uses a cohort-based approach (months since launch) to compare growth trajectories.", "function": "quantify_impact", "rawType": "industry_trends", "block": null, "metadata": { "slideType": "industry_trends", "slideTypeCanon": { "name": "Industry trends", "slug": "industry_trends", "status": "active", "canonId": "019de52d-0b1d-7705-a0e0-c663199cd1fa", "version": 1, "description": null }, "function": "quantify_impact", "functionCanon": { "name": "Quantify impact", "slug": "quantify_impact", "status": "active", "canonId": "019de52d-1630-720d-b57d-fa7f76bebd8d", "version": 1, "description": null }, "density": "balanced", "densityScore": 37, "componentCount": 6, "textChars": 330, "nDataPoints": 0, "notes": "The chart uses a cohort-based approach (months since launch) to compare growth trajectories.", "elementsJson": [ "headline_text", "line_chart" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:56.219+00", "seconds": 5.561, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/182", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-182", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.7, "w": 0.8, "x": 0.1, "y": 0.18 }, "kind": "chart", "text": "Monthly Trips Since Inception, Uber China vs. Rest of World", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Line chart", "slug": "line", "status": "active", "canonId": "019de52c-ff62-778f-8f6c-a952ceae8677", "version": 1, "description": null }, "framework": null }, "subkind": "line", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:56.219+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "1ef128cd-69ed-4fb3-8704-8fe91561515a", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.3, "x": 0.35, "y": 0.87 }, "kind": "legend", "text": "China Cities (Red) vs. ROW Cities (Blue)", "attrs": null, "canon": { "kind": { "name": "Legend", "slug": "legend", "status": "active", "canonId": "31361933-3d22-4c70-bbad-0801e9fffc0c", "version": 1, "description": "Color/symbol decoder placed adjacent to a chart or diagram." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:56.219+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "333db44f-6d60-4e46-a97c-e287b21fb539", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Monthly Trips", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:31+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f30-01554cb46f9e", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.4, "x": 0.1, "y": 0.94 }, "kind": "source-note", "text": "Source: Uber China chart per leaked CEO letter to investors in China in June 2015, third-party press releases.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:56.219+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "31cb6b14-3479-4577-aa56-0d87fd148536", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.6, "x": 0.02, "y": 0.06 }, "kind": "title", "text": "China Cities = Fastest Global Growers", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Action title", "slug": "action-title", "status": "active", "canonId": "019de52c-fb31-734c-a0f5-a3935b73135d", "version": 1, "description": null }, "framework": null }, "subkind": "action-title", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:56.219+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "52862fe1-a4aa-4d22-a88c-c2a32a925d2c", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.6, "x": 0.02, "y": 0.02 }, "kind": "title", "text": "China On-Demand Transportation... China Cities = Fastest Global Growers", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:56.219+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "4257e9e9-0080-4257-80fe-63cebff5de5e", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Contrast Pairs", "slug": "contrast-pairs", "status": "active", "bestFor": null, "canonId": "019dd956-9b77-70d3-88b1-f34e26f60860", "version": 1, "bodyDocId": null, "description": "Creating tension through opposites: Before↔After, Problem↔Solution, Pain↔Relief", "familyLabel": null, "categoryName": "Loop", "categorySlug": "loop" }, "agent": "Storyteller", "layer": "loop", "agents": [ "Storyteller" ], "matchId": "019de7d7-f850-75bc-9abb-6a61c1abb796", "evidence": "China cities (red) vs ROW (blue) growth lines.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 75, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 182, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 193, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 161, "name": "Evidence & Proof", "beatId": "019de7d7-dfdb-71ae-ab61-8a3533e45ef2", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "China leadership data + public/private company financials.", "position": 4, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 182, "from": 162, "loop": { "name": "04_tale_two_worlds", "slug": "04-tale-two-worlds", "status": "active", "bestFor": "Competitive analysis, benchmarking, case for change", "canonId": "019dd956-674f-750b-b15d-f082e2717f4e", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "Current State -> Desired State / Benchmark -> The Gap & Implication", "description": "Show the gap between two states to drive urgency or highlight opportunity", "familyLabel": null }, "matchId": "019de7d7-e26c-70ce-a296-8864b88dd4d8", "evidence": "p170 online ads > USA share, pp171-172 e-commerce share, p176 payment frequency, p181 70% global on-demand share.", "position": 11, "objective": "Benchmark China internet metrics against USA to argue China leads on many fronts", "confidence": 82, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 183, "type": "setup", "function": "transition", "rawType": "section_divider", "block": null, "metadata": { "slideType": "section_divider", "slideTypeCanon": { "name": "Section divider", "slug": "section_divider", "status": "active", "canonId": "019de52d-066a-7402-9554-6ae504999041", "version": 1, "description": null }, "function": "transition", "functionCanon": { "name": "Transition", "slug": "transition", "status": "active", "canonId": "019de52d-1365-7149-92aa-66df859e75fd", "version": 1, "description": null }, "density": "sparse", "densityScore": 1, "componentCount": 1, "textChars": 29, "nDataPoints": 0, "notes": null, "elementsJson": [ "headline_text" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:52.655+00", "seconds": 1.956, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/183", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-183", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.1, "w": 0.9, "x": 0.05, "y": 0.3 }, "kind": "title", "text": "PUBLIC / PRIVATE COMPANY DATA", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:52.655+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "5af862c9-6727-49bf-8d0f-3acb95c3fced", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 193, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 161, "name": "Evidence & Proof", "beatId": "019de7d7-dfdb-71ae-ab61-8a3533e45ef2", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "China leadership data + public/private company financials.", "position": 4, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [], "locked": true }, { "page": 184, "type": "setup", "function": "transition", "rawType": "section_divider", "block": null, "metadata": { "slideType": "section_divider", "slideTypeCanon": { "name": "Section divider", "slug": "section_divider", "status": "active", "canonId": "019de52d-066a-7402-9554-6ae504999041", "version": 1, "description": null }, "function": "transition", "functionCanon": { "name": "Transition", "slug": "transition", "status": "active", "canonId": "019de52d-1365-7149-92aa-66df859e75fd", "version": 1, "description": null }, "density": "sparse", "densityScore": 3, "componentCount": 1, "textChars": 83, "nDataPoints": 0, "notes": null, "elementsJson": [ "headline_text" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:52.432+00", "seconds": 1.693, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/184", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-184", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.3, "w": 0.6, "x": 0.2, "y": 0.35 }, "kind": "title", "text": "Impact of Internet = Extraordinary & Broad But, in Many Ways... It's Just Beginning", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:52.432+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "d62a3279-6ea9-458b-8607-7875c178458f", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 193, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 161, "name": "Evidence & Proof", "beatId": "019de7d7-dfdb-71ae-ab61-8a3533e45ef2", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "China leadership data + public/private company financials.", "position": 4, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 193, "from": 184, "loop": { "name": "02_pattern_hunter", "slug": "02-pattern-hunter", "status": "active", "bestFor": "Time-pressed audiences, building consensus, when data is strong", "canonId": "019dd956-6695-771a-be2e-f1748ef041a4", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion", "description": "Group multiple pieces of evidence that together point to a pattern or conclusion", "familyLabel": null }, "matchId": "019de7d7-e2d0-7279-b31b-54df6bba3560", "evidence": "p185 incumbent vs disruptor tables, p186 normalized growth curves, p188 top-20 leaderboard, p190 incumbent M&A surge.", "position": 12, "objective": "Stack public + private internet leader evidence to argue current generation growing faster than ever", "confidence": 70, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 185, "type": "setup", "title": "Uses red circles to highlight the 2015/2016 data points for the disruptors.", "function": "compare_options", "rawType": "comparison_table", "block": null, "metadata": { "slideType": "comparison_table", "slideTypeCanon": { "name": "Comparison table", "slug": "comparison_table", "status": "active", "canonId": "019de52d-0a06-73f8-8813-fe022fab1de2", "version": 1, "description": null }, "function": "compare_options", "functionCanon": { "name": "Compare options", "slug": "compare_options", "status": "active", "canonId": "019de52d-167f-7038-aebc-70a9d2e0e33b", "version": 1, "description": null }, "density": "dense", "densityScore": 67, "componentCount": 7, "textChars": 725, "nDataPoints": 16, "notes": "Uses red circles to highlight the 2015/2016 data points for the disruptors.", "elementsJson": [ "headline_text", "subtitle_text", "data_table" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:53.363+00", "seconds": 2.621, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/185", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-185", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "Cord-Cutting Impacts Earnings for Traditional Media Companies... E-Commerce Impacts Revenue Growth for Traditional Retailers", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:31+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f30-4bee20c0b393", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Market Cap: $341B", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:31+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f30-4e4ca1433307", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.8, "x": 0.1, "y": 0.92 }, "kind": "source-note", "text": "Source: CapIQ, Public Filings. 2015 revenue for all companies reflects CY2015. Current market caps as of 5/31/16. Historical market caps for Wal-Mart/Amazon shown as of date of Amazon IPO (5/15/1997). Historical market caps for Viacom/Netflix shown as of date of CBS spinoff from Viacom (1/3/2006).", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:53.363+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "351dfd9f-0e30-40a4-8b97-e4621d74aa19", "parentComponentId": null }, { "bbox": { "h": 0.55, "w": 0.4, "x": 0.55, "y": 0.3 }, "kind": "table", "text": "Retail Market Cap and Revenue comparison table", "attrs": null, "canon": { "kind": { "name": "Table", "slug": "table", "status": "active", "canonId": "019de52c-f9c8-7148-8119-eaac9594cd28", "version": 1, "description": "Tabular data layout." }, "tool": null, "subkind": { "name": "Data table", "slug": "data", "status": "active", "canonId": "019de52d-02d5-75b8-8abf-88e92bf63569", "version": 1, "description": null }, "framework": null }, "subkind": "data", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:53.363+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "5f42d6a4-22af-49fe-b457-374ea3e36d2f", "parentComponentId": null }, { "bbox": { "h": 0.55, "w": 0.45, "x": 0.05, "y": 0.3 }, "kind": "table", "text": "Media Market Cap and Revenue comparison table", "attrs": null, "canon": { "kind": { "name": "Table", "slug": "table", "status": "active", "canonId": "019de52c-f9c8-7148-8119-eaac9594cd28", "version": 1, "description": "Tabular data layout." }, "tool": null, "subkind": { "name": "Data table", "slug": "data", "status": "active", "canonId": "019de52d-02d5-75b8-8abf-88e92bf63569", "version": 1, "description": null }, "framework": null }, "subkind": "data", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:53.363+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "82f82dd0-e8b3-4e20-b1b1-3d700e0b5673", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.8, "x": 0.1, "y": 0.18 }, "kind": "title", "text": "Cord-Cutting Impacts Earnings for Traditional Media Companies... E-Commerce Impacts Revenue Growth for Traditional Retailers", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Action title", "slug": "action-title", "status": "active", "canonId": "019de52c-fb31-734c-a0f5-a3935b73135d", "version": 1, "description": null }, "framework": null }, "subkind": "action-title", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:53.363+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "9d91faf1-5526-448b-8a1d-0a03ac299979", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.6, "x": 0.05, "y": 0.05 }, "kind": "title", "text": "Internet-Related Dislocations = Long-Time in Making...Still Early Stage", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:53.363+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "f85455ff-6a86-4d95-9cd0-9e280daa6772", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Contrast Pairs", "slug": "contrast-pairs", "status": "active", "bestFor": null, "canonId": "019dd956-9b77-70d3-88b1-f34e26f60860", "version": 1, "bodyDocId": null, "description": "Creating tension through opposites: Before↔After, Problem↔Solution, Pain↔Relief", "familyLabel": null, "categoryName": "Loop", "categorySlug": "loop" }, "agent": "Storyteller", "layer": "loop", "agents": [ "Storyteller" ], "matchId": "019de7d7-f86f-760a-911d-ca89f6d5cee6", "evidence": "Incumbent vs disruptor performance tables (Viacom vs Netflix etc).", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 80, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 185, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Von Restorff Effect", "slug": "von-restorff-effect", "status": "active", "bestFor": null, "canonId": "019dd956-beab-73d8-9f62-30d0332e926e", "version": 1, "bodyDocId": null, "description": "Items that stand out are noticed and remembered - make key points visually distinct", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "019de7d7-f88f-77d5-9c5d-e7b31a37a9fe", "evidence": "Red circles highlight critical years.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 185, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 193, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 161, "name": "Evidence & Proof", "beatId": "019de7d7-dfdb-71ae-ab61-8a3533e45ef2", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "China leadership data + public/private company financials.", "position": 4, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 193, "from": 184, "loop": { "name": "02_pattern_hunter", "slug": "02-pattern-hunter", "status": "active", "bestFor": "Time-pressed audiences, building consensus, when data is strong", "canonId": "019dd956-6695-771a-be2e-f1748ef041a4", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion", "description": "Group multiple pieces of evidence that together point to a pattern or conclusion", "familyLabel": null }, "matchId": "019de7d7-e2d0-7279-b31b-54df6bba3560", "evidence": "p185 incumbent vs disruptor tables, p186 normalized growth curves, p188 top-20 leaderboard, p190 incumbent M&A surge.", "position": 12, "objective": "Stack public + private internet leader evidence to argue current generation growing faster than ever", "confidence": 70, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 186, "type": "analysis", "title": "Time-shifted growth curves comparing legacy internet leaders with newer entrants.", "function": "quantify_impact", "rawType": "industry_trends", "block": null, "metadata": { "slideType": "industry_trends", "slideTypeCanon": { "name": "Industry trends", "slug": "industry_trends", "status": "active", "canonId": "019de52d-0b1d-7705-a0e0-c663199cd1fa", "version": 1, "description": null }, "function": "quantify_impact", "functionCanon": { "name": "Quantify impact", "slug": "quantify_impact", "status": "active", "canonId": "019de52d-1630-720d-b57d-fa7f76bebd8d", "version": 1, "description": null }, "density": "balanced", "densityScore": 43, "componentCount": 6, "textChars": 320, "nDataPoints": 12, "notes": "Time-shifted growth curves comparing legacy internet leaders with newer entrants.", "elementsJson": [ "line_chart", "line_chart", "line_chart" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:53.557+00", "seconds": 2.607, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/186", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-186", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.25, "w": 0.4, "x": 0.55, "y": 0.2 }, "kind": "chart", "text": "Commerce GMV growth", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Line chart", "slug": "line", "status": "active", "canonId": "019de52c-ff62-778f-8f6c-a952ceae8677", "version": 1, "description": null }, "framework": null }, "subkind": "line", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:53.557+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "13ae11d8-8581-4619-8920-260e3ebfa12f", "parentComponentId": null }, { "bbox": { "h": 0.25, "w": 0.45, "x": 0.05, "y": 0.2 }, "kind": "chart", "text": "Marketplaces GMV growth", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Line chart", "slug": "line", "status": "active", "canonId": "019de52c-ff62-778f-8f6c-a952ceae8677", "version": 1, "description": null }, "framework": null }, "subkind": "line", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:53.557+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "7283087d-3b7b-484e-a278-f71434a82b69", "parentComponentId": null }, { "bbox": { "h": 0.25, "w": 0.4, "x": 0.3, "y": 0.6 }, "kind": "chart", "text": "Enterprise Revenue growth", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Line chart", "slug": "line", "status": "active", "canonId": "019de52c-ff62-778f-8f6c-a952ceae8677", "version": 1, "description": null }, "framework": null }, "subkind": "line", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:53.557+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "8a786388-aa99-4f5a-b7b6-ddafee843234", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.6, "x": 0.1, "y": 0.92 }, "kind": "disclaimer", "text": "Marketplaces Source: Company data, Morgan Stanley Research. Commerce Source: Publicly available company data, Morgan Stanley Research. Enterprise Source: Slack.", "attrs": null, "canon": { "kind": { "name": "Disclaimer", "slug": "disclaimer", "status": "active", "canonId": "91173477-d91f-4024-bbaf-d4f93e3f82dc", "version": 1, "description": "Legal/cautionary text that occupies most of the body of its slide." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:53.557+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "6acebe48-d5f3-4d4c-88a0-bd954204f80f", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "GMV / Revenue", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:31+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f30-2d780764c260", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.65, "x": 0.02, "y": 0.02 }, "kind": "title", "text": "Current Generation of Internet Leaders = Growing Faster than Previous Generation", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:53.557+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "6ff7087c-5a1e-4541-bc5a-0d206595a7bb", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-f8ae-772d-881f-293ed9a7c848", "evidence": "Current gen growing faster than previous.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 80, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 186, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." }, { "tool": { "name": "Small Multiples", "slug": "small-multiples", "status": "active", "bestFor": null, "canonId": "019dd956-b32d-7586-b368-baa1dd388ed4", "version": 1, "bodyDocId": null, "description": "Repeating similar charts for comparison across categories or time", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "019de7d7-f8cd-7582-bde9-b5a81237682c", "evidence": "Three time-shifted parallel charts (Marketplaces/Commerce/Enterprise).", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 80, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 186, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [ { "matchId": "6e2769c3-654d-4463-a275-edfe267ab5c6", "evidence": "Time-shifted growth curves comparing companies by years since launch", "framework": null, "confidence": 0.8, "extraction": { "at": "2026-05-02 17:38:53.557+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 186, "frameworkName": "growth-trajectory-analysis" } ], "arcBeats": [ { "to": 193, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 161, "name": "Evidence & Proof", "beatId": "019de7d7-dfdb-71ae-ab61-8a3533e45ef2", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "China leadership data + public/private company financials.", "position": 4, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 193, "from": 184, "loop": { "name": "02_pattern_hunter", "slug": "02-pattern-hunter", "status": "active", "bestFor": "Time-pressed audiences, building consensus, when data is strong", "canonId": "019dd956-6695-771a-be2e-f1748ef041a4", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion", "description": "Group multiple pieces of evidence that together point to a pattern or conclusion", "familyLabel": null }, "matchId": "019de7d7-e2d0-7279-b31b-54df6bba3560", "evidence": "p185 incumbent vs disruptor tables, p186 normalized growth curves, p188 top-20 leaderboard, p190 incumbent M&A surge.", "position": 12, "objective": "Stack public + private internet leader evidence to argue current generation growing faster than ever", "confidence": 70, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 187, "type": "setup", "function": "transition", "rawType": "section_divider", "block": null, "metadata": { "slideType": "section_divider", "slideTypeCanon": { "name": "Section divider", "slug": "section_divider", "status": "active", "canonId": "019de52d-066a-7402-9554-6ae504999041", "version": 1, "description": null }, "function": "transition", "functionCanon": { "name": "Transition", "slug": "transition", "status": "active", "canonId": "019de52d-1365-7149-92aa-66df859e75fd", "version": 1, "description": null }, "density": "sparse", "densityScore": 2, "componentCount": 1, "textChars": 54, "nDataPoints": 0, "notes": null, "elementsJson": [ "headline_text" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:53.12+00", "seconds": 1.984, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/187", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-187", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.2, "w": 0.8, "x": 0.1, "y": 0.4 }, "kind": "title", "text": "Internet Leaders = Getting Bigger...Staying Aggressive", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:53.12+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "b896ad75-5134-4e8b-bc3e-46d7919e1a88", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 193, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 161, "name": "Evidence & Proof", "beatId": "019de7d7-dfdb-71ae-ab61-8a3533e45ef2", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "China leadership data + public/private company financials.", "position": 4, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 193, "from": 184, "loop": { "name": "02_pattern_hunter", "slug": "02-pattern-hunter", "status": "active", "bestFor": "Time-pressed audiences, building consensus, when data is strong", "canonId": "019dd956-6695-771a-be2e-f1748ef041a4", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion", "description": "Group multiple pieces of evidence that together point to a pattern or conclusion", "familyLabel": null }, "matchId": "019de7d7-e2d0-7279-b31b-54df6bba3560", "evidence": "p185 incumbent vs disruptor tables, p186 normalized growth curves, p188 top-20 leaderboard, p190 incumbent M&A surge.", "position": 12, "objective": "Stack public + private internet leader evidence to argue current generation growing faster than ever", "confidence": 70, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 188, "type": "analysis", "title": "Data as of 5/31/16. Includes both public and private companies.", "function": "analyze_data", "rawType": "data_table", "block": null, "metadata": { "slideType": "data_table", "slideTypeCanon": { "name": "Data table", "slug": "data_table", "status": "active", "canonId": "019de52d-0bbd-71b9-9918-417f904abbf8", "version": 1, "description": null }, "function": "analyze_data", "functionCanon": { "name": "Analyze data", "slug": "analyze_data", "status": "active", "canonId": "019de52d-1590-7413-8c82-cc218cff40b4", "version": 1, "description": null }, "density": "balanced", "densityScore": 39, "componentCount": 4, "textChars": 506, "nDataPoints": 60, "notes": "Data as of 5/31/16. Includes both public and private companies.", "elementsJson": [ "headline_text", "data_table", "footnote" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:53.643+00", "seconds": 2.297, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/188", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-188", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.06, "w": 0.65, "x": 0.05, "y": 0.92 }, "kind": "disclaimer", "text": "Source: CapIQ, CB Insights, Wall Street Journal, media reports. Market value data as of 5/31/16. * Includes only public companies. Note: For public companies, colors denote current market value relative to Y/Y market value. Green = higher. Red = lower.", "attrs": null, "canon": { "kind": { "name": "Disclaimer", "slug": "disclaimer", "status": "active", "canonId": "91173477-d91f-4024-bbaf-d4f93e3f82dc", "version": 1, "description": "Legal/cautionary text that occupies most of the body of its slide." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:53.643+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "0fe98734-87c3-4600-b8f9-1d33d44f7e43", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Current Market Value: $2,752", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:32+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f30-89d3170deee2", "parentComponentId": null }, { "bbox": { "h": 0.75, "w": 0.9, "x": 0.05, "y": 0.15 }, "kind": "table", "text": "Rank, Company, Region, Current Market Value ($B), Q1:16 Cash ($B), 2015 Revenue ($B)", "attrs": null, "canon": { "kind": { "name": "Table", "slug": "table", "status": "active", "canonId": "019de52c-f9c8-7148-8119-eaac9594cd28", "version": 1, "description": "Tabular data layout." }, "tool": null, "subkind": { "name": "Data table", "slug": "data", "status": "active", "canonId": "019de52d-02d5-75b8-8abf-88e92bf63569", "version": 1, "description": null }, "framework": null }, "subkind": "data", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:53.643+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "5b07975a-5f66-4591-b78d-cea3a60866b2", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.96, "x": 0.02, "y": 0.02 }, "kind": "title", "text": "Global Internet Market Leaders = Apple / Google / Amazon / Facebook / Tencent / Alibaba...Flush with Cash...Private Companies Well Represented", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:53.643+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "b1194880-76f5-479e-840a-9a33ed55fba0", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Color Strategy", "slug": "color-strategy", "status": "active", "bestFor": null, "canonId": "019dd956-b202-77cf-8a6e-f445b08c0fd3", "version": 1, "bodyDocId": null, "description": "Using color for emphasis, categories, sentiment, and hierarchy", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "019de7d7-f8ef-7739-bc43-9a0976d1e138", "evidence": "Color-coded valuation; yellow marks private companies.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 188, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Visual Hierarchy", "slug": "visual-hierarchy", "status": "active", "bestFor": null, "canonId": "019dd956-b2ca-706b-937f-e52441086fd7", "version": 1, "bodyDocId": null, "description": "Order of perception through Size > Color > Position > Weight > Space", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "019de7d7-f957-7484-95f3-7fe439376723", "evidence": "Top-20 leaderboard ranks by market value.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 65, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 188, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [ { "matchId": "019de7d7-fe7d-7746-8d90-0b4c69e9ee85", "evidence": "Color-coded market value table for top 20.", "framework": null, "confidence": 55, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 188, "frameworkName": "Top-N leaderboard (market cap ranking)" } ], "arcBeats": [ { "to": 193, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 161, "name": "Evidence & Proof", "beatId": "019de7d7-dfdb-71ae-ab61-8a3533e45ef2", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "China leadership data + public/private company financials.", "position": 4, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 193, "from": 184, "loop": { "name": "02_pattern_hunter", "slug": "02-pattern-hunter", "status": "active", "bestFor": "Time-pressed audiences, building consensus, when data is strong", "canonId": "019dd956-6695-771a-be2e-f1748ef041a4", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion", "description": "Group multiple pieces of evidence that together point to a pattern or conclusion", "familyLabel": null }, "matchId": "019de7d7-e2d0-7279-b31b-54df6bba3560", "evidence": "p185 incumbent vs disruptor tables, p186 normalized growth curves, p188 top-20 leaderboard, p190 incumbent M&A surge.", "position": 12, "objective": "Stack public + private internet leader evidence to argue current generation growing faster than ever", "confidence": 70, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 189, "type": "setup", "function": "transition", "rawType": "section_divider", "block": null, "metadata": { "slideType": "section_divider", "slideTypeCanon": { "name": "Section divider", "slug": "section_divider", "status": "active", "canonId": "019de52d-066a-7402-9554-6ae504999041", "version": 1, "description": null }, "function": "transition", "functionCanon": { "name": "Transition", "slug": "transition", "status": "active", "canonId": "019de52d-1365-7149-92aa-66df859e75fd", "version": 1, "description": null }, "density": "sparse", "densityScore": 3, "componentCount": 1, "textChars": 70, "nDataPoints": 0, "notes": null, "elementsJson": [ "headline_text" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:53.125+00", "seconds": 1.616, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/189", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-189", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.26, "w": 0.84, "x": 0.08, "y": 0.37 }, "kind": "title", "text": "Traditional Industry Incumbents = Active in Acquisitions / Investments", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:53.125+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "2063b0b6-9e0c-46d7-909d-2752a7c73bcf", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 193, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 161, "name": "Evidence & Proof", "beatId": "019de7d7-dfdb-71ae-ab61-8a3533e45ef2", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "China leadership data + public/private company financials.", "position": 4, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 193, "from": 184, "loop": { "name": "02_pattern_hunter", "slug": "02-pattern-hunter", "status": "active", "bestFor": "Time-pressed audiences, building consensus, when data is strong", "canonId": "019dd956-6695-771a-be2e-f1748ef041a4", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion", "description": "Group multiple pieces of evidence that together point to a pattern or conclusion", "familyLabel": null }, "matchId": "019de7d7-e2d0-7279-b31b-54df6bba3560", "evidence": "p185 incumbent vs disruptor tables, p186 normalized growth curves, p188 top-20 leaderboard, p190 incumbent M&A surge.", "position": 12, "objective": "Stack public + private internet leader evidence to argue current generation growing faster than ever", "confidence": 70, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 190, "type": "analysis", "title": "Part of KPCB Internet Trends 2016 deck.", "function": "illustrate_case", "rawType": "industry_trends", "block": null, "metadata": { "slideType": "industry_trends", "slideTypeCanon": { "name": "Industry trends", "slug": "industry_trends", "status": "active", "canonId": "019de52d-0b1d-7705-a0e0-c663199cd1fa", "version": 1, "description": null }, "function": "illustrate_case", "functionCanon": { "name": "Illustrate case", "slug": "illustrate_case", "status": "active", "canonId": "019de52d-13b4-772c-bb73-1873612a7463", "version": 1, "description": null }, "density": "dense", "densityScore": 56, "componentCount": 7, "textChars": 456, "nDataPoints": 4, "notes": "Part of KPCB Internet Trends 2016 deck.", "elementsJson": [ "headline_text", "bar_chart_vertical", "bullet_list" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:54.558+00", "seconds": 2.973, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/190", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-190", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "Non-Tech Acquisitions of Tech Companies +2.6x Since 2012", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:32+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f30-c209742dabc9", "parentComponentId": null }, { "bbox": { "h": 0.55, "w": 0.45, "x": 0.04, "y": 0.28 }, "kind": "chart", "text": "Tech Acquisitions by Non-Tech Corporate Buyers Volume ($B)", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Vertical bar chart", "slug": "bar-vertical", "status": "active", "canonId": "019de52c-fe9d-70f2-b3b7-a9ae294f5917", "version": 1, "description": null }, "framework": null }, "subkind": "bar-vertical", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:54.558+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "06e80735-bab8-4197-a5c2-2c56f7a7a765", "parentComponentId": null }, { "bbox": { "h": 0.35, "w": 0.45, "x": 0.52, "y": 0.58 }, "kind": "list", "text": "Select Investments by Non-Tech Incumbents", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:54.558+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "1e55289d-f34c-4490-9f36-bff2ee8a4bae", "parentComponentId": null }, { "bbox": { "h": 0.35, "w": 0.45, "x": 0.52, "y": 0.17 }, "kind": "list", "text": "Select Acquisitions by Non-Tech Incumbents", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:54.558+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "aad51501-901a-4ba4-a2f3-c7690d5428fe", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Acquisition Volume: $28B", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:32+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f30-c759b2b21c84", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.3, "x": 0.1, "y": 0.94 }, "kind": "source-note", "text": "Source: Morgan Stanley, CapitalIQ, Thomson Reuters. Note: Includes technology targets >$100MM in value.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:54.558+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "aed17e7d-3f65-4d4a-a27b-7f3af92f1eab", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.96, "x": 0.02, "y": 0.02 }, "kind": "title", "text": "Incumbents = Increasingly Betting on Technology Companies to Fuel Growth... Non-Tech Acquisitions of Tech Companies +2.6x Since 2012", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:54.558+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "a5ca18c5-d1d9-49e1-87b4-9cafaeefc55e", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-f977-7368-80e7-fc65a4188469", "evidence": "Non-tech acquisitions of tech +2.6x since 2012.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 85, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 190, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." }, { "tool": { "name": "Annotation", "slug": "annotation", "status": "active", "bestFor": null, "canonId": "019dd956-b5b9-7668-bf0e-3af99823ec5c", "version": 1, "bodyDocId": null, "description": "Adding explanatory labels to highlight key data points", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "019de7d7-f997-775c-8326-01e1dacd1535", "evidence": "Growth arrow over bars marks 263% rise.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 190, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 193, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 161, "name": "Evidence & Proof", "beatId": "019de7d7-dfdb-71ae-ab61-8a3533e45ef2", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "China leadership data + public/private company financials.", "position": 4, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 193, "from": 184, "loop": { "name": "02_pattern_hunter", "slug": "02-pattern-hunter", "status": "active", "bestFor": "Time-pressed audiences, building consensus, when data is strong", "canonId": "019dd956-6695-771a-be2e-f1748ef041a4", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion", "description": "Group multiple pieces of evidence that together point to a pattern or conclusion", "familyLabel": null }, "matchId": "019de7d7-e2d0-7279-b31b-54df6bba3560", "evidence": "p185 incumbent vs disruptor tables, p186 normalized growth curves, p188 top-20 leaderboard, p190 incumbent M&A surge.", "position": 12, "objective": "Stack public + private internet leader evidence to argue current generation growing faster than ever", "confidence": 70, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 191, "type": "setup", "function": "summarize", "rawType": "thesis_headline", "block": null, "metadata": { "slideType": "thesis_headline", "slideTypeCanon": { "name": "Thesis headline", "slug": "thesis_headline", "status": "active", "canonId": "019de52d-073a-70cb-b9f6-772a597bb5af", "version": 1, "description": null }, "function": "summarize", "functionCanon": { "name": "Summarize", "slug": "summarize", "status": "active", "canonId": "019de52d-1541-704f-b86f-bf7b75056373", "version": 1, "description": null }, "density": "sparse", "densityScore": 13, "componentCount": 2, "textChars": 200, "nDataPoints": 1, "notes": null, "elementsJson": [ "headline_text" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:54.422+00", "seconds": 2.325, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/191", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-191", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.03, "w": 0.35, "x": 0.1, "y": 0.94 }, "kind": "source-note", "text": "Source: Morgan Stanley, Thomson Reuters. Note: YTD Tech IPOs include SecureWorks and Acacia Communications.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:54.422+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "d4683be4-d69c-4ba9-babe-579aabc955f9", "parentComponentId": null }, { "bbox": { "h": 0.3, "w": 0.8, "x": 0.1, "y": 0.35 }, "kind": "title", "text": "Global Technology Financings = Solid Trends in Private Financings... Only 2 Tech IPOs 2016YTD", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Action title", "slug": "action-title", "status": "active", "canonId": "019de52c-fb31-734c-a0f5-a3935b73135d", "version": 1, "description": null }, "framework": null }, "subkind": "action-title", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:54.422+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "25e5d60d-5196-466f-ba9e-669da1a24502", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 193, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 161, "name": "Evidence & Proof", "beatId": "019de7d7-dfdb-71ae-ab61-8a3533e45ef2", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "China leadership data + public/private company financials.", "position": 4, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 193, "from": 184, "loop": { "name": "02_pattern_hunter", "slug": "02-pattern-hunter", "status": "active", "bestFor": "Time-pressed audiences, building consensus, when data is strong", "canonId": "019dd956-6695-771a-be2e-f1748ef041a4", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion", "description": "Group multiple pieces of evidence that together point to a pattern or conclusion", "familyLabel": null }, "matchId": "019de7d7-e2d0-7279-b31b-54df6bba3560", "evidence": "p185 incumbent vs disruptor tables, p186 normalized growth curves, p188 top-20 leaderboard, p190 incumbent M&A surge.", "position": 12, "objective": "Stack public + private internet leader evidence to argue current generation growing faster than ever", "confidence": 70, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 192, "type": "analysis", "title": "The chart highlights the correlation between public market peaks (dot-com bubble, 2015 peak) and financing volumes.", "function": "analyze_data", "rawType": "industry_trends", "block": null, "metadata": { "slideType": "industry_trends", "slideTypeCanon": { "name": "Industry trends", "slug": "industry_trends", "status": "active", "canonId": "019de52d-0b1d-7705-a0e0-c663199cd1fa", "version": 1, "description": null }, "function": "analyze_data", "functionCanon": { "name": "Analyze data", "slug": "analyze_data", "status": "active", "canonId": "019de52d-1590-7413-8c82-cc218cff40b4", "version": 1, "description": null }, "density": "overcrowded", "densityScore": 77, "componentCount": 8, "textChars": 817, "nDataPoints": 27, "notes": "The chart highlights the correlation between public market peaks (dot-com bubble, 2015 peak) and financing volumes.", "elementsJson": [ "headline_text", "bar_chart_stacked", "line_chart", "data_table", "callout_box", "footnote" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:55.503+00", "seconds": 3.305, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/192", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-192", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "Global Technology Public + Private Financing Volume = Solid Relative to History", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:32+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f30-dffb7a09deb2", "parentComponentId": null }, { "bbox": { "h": 0.6, "w": 0.9, "x": 0.05, "y": 0.0025 }, "kind": "chart", "text": "Stacked bar chart of IPO and Private Financing volume with NASDAQ line overlay", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Stacked bar chart", "slug": "bar-stacked", "status": "active", "canonId": "019de52c-feec-74bf-9028-15b74f84f0a7", "version": 1, "description": null }, "framework": null }, "subkind": "bar-stacked", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:55.503+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "dcaf4d6b-2d17-4dad-81d9-42eca05921dd", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.9, "x": 0.05, "y": 0.0094 }, "kind": "disclaimer", "text": "Source: Thomson ONE, 2016YTD as of 5/26/16. VC Funding per Company ($MM) calculated as total venture financing per year divided by number of companies receiving venture financing. Morgan Stanley Equity Capital Markets, 2016YTD as of 5/26/16. All global U.S.-listed technology IPOs over $30MM, data per Dealogic, Bloomberg, & Capital IQ.", "attrs": null, "canon": { "kind": { "name": "Disclaimer", "slug": "disclaimer", "status": "active", "canonId": "91173477-d91f-4024-bbaf-d4f93e3f82dc", "version": 1, "description": "Legal/cautionary text that occupies most of the body of its slide." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:55.503+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "9f49da70-0e30-49f6-b075-33d17af79680", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.2, "x": 0.15, "y": 0.0025 }, "kind": "legend", "text": "Technology IPO Volume ($B), Technology Private Financing Volume ($B), NASDAQ", "attrs": null, "canon": { "kind": { "name": "Legend", "slug": "legend", "status": "active", "canonId": "31361933-3d22-4c70-bbad-0801e9fffc0c", "version": 1, "description": "Color/symbol decoder placed adjacent to a chart or diagram." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:55.503+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "0a209545-2fa3-465d-b686-221c2de6937a", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Financing Volume ($B): $157", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:32+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f30-e19bed073d10", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.9, "x": 0.05, "y": 0.0088 }, "kind": "table", "text": "VC Funding per Company ($MM) table row", "attrs": null, "canon": { "kind": { "name": "Table", "slug": "table", "status": "active", "canonId": "019de52c-f9c8-7148-8119-eaac9594cd28", "version": 1, "description": "Tabular data layout." }, "tool": null, "subkind": { "name": "Data table", "slug": "data", "status": "active", "canonId": "019de52d-02d5-75b8-8abf-88e92bf63569", "version": 1, "description": null }, "framework": null }, "subkind": "data", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:55.503+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "d5f92093-b86b-43ef-bdfd-693ed9ff5a96", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.8, "x": 0.02, "y": 0.02 }, "kind": "title", "text": "Global Technology Public + Private Financing Volume = Solid Relative to History", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:55.503+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "242e0dc8-67e2-43f4-8e1c-c4ae604ec7f6", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.7, "x": 0.15, "y": 0.0016 }, "kind": "title", "text": "Global US-Listed Technology IPO Issuance and Global Technology Venture Capital Financing, 1990 – 2016YTD", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Subtitle", "slug": "subtitle", "status": "active", "canonId": "019de52c-fb09-739d-900c-815b0d9ac526", "version": 1, "description": null }, "framework": null }, "subkind": "subtitle", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:55.503+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "78ab0e43-1738-4e73-9218-12f3c0fa4104", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 193, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 161, "name": "Evidence & Proof", "beatId": "019de7d7-dfdb-71ae-ab61-8a3533e45ef2", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "China leadership data + public/private company financials.", "position": 4, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 193, "from": 184, "loop": { "name": "02_pattern_hunter", "slug": "02-pattern-hunter", "status": "active", "bestFor": "Time-pressed audiences, building consensus, when data is strong", "canonId": "019dd956-6695-771a-be2e-f1748ef041a4", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion", "description": "Group multiple pieces of evidence that together point to a pattern or conclusion", "familyLabel": null }, "matchId": "019de7d7-e2d0-7279-b31b-54df6bba3560", "evidence": "p185 incumbent vs disruptor tables, p186 normalized growth curves, p188 top-20 leaderboard, p190 incumbent M&A surge.", "position": 12, "objective": "Stack public + private internet leader evidence to argue current generation growing faster than ever", "confidence": 70, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 193, "type": "setup", "title": "This slide serves as a philosophical anchor for valuation in the KPCB Internet Trends deck.", "function": "summarize", "rawType": "key_messages", "block": null, "metadata": { "slideType": "key_messages", "slideTypeCanon": { "name": "Key messages", "slug": "key_messages", "status": "active", "canonId": "019de52d-0712-703f-89f5-bda6688faf3f", "version": 1, "description": null }, "function": "summarize", "functionCanon": { "name": "Summarize", "slug": "summarize", "status": "active", "canonId": "019de52d-1541-704f-b86f-bf7b75056373", "version": 1, "description": null }, "density": "sparse", "densityScore": 16, "componentCount": 2, "textChars": 357, "nDataPoints": 0, "notes": "This slide serves as a philosophical anchor for valuation in the KPCB Internet Trends deck.", "elementsJson": [ "paragraph" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:56.492+00", "seconds": 4.186, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/193", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-193", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "Over time, best rule of thumb for valuing companies = value is present value of future cash flows.", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:32+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f30-ae33f40e35fc", "parentComponentId": null }, { "bbox": { "h": 0.5, "w": 0.7, "x": 0.15, "y": 0.2 }, "kind": "paragraph", "text": "There are pockets of Internet company overvaluation but there are also pockets of undervaluation... Very few companies will win – those that do – can win big... Over time, best rule of thumb for valuing companies = value is present value of future cash flows.", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:56.492+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "d2f92da9-d44b-4079-b359-bb56e2660d74", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Core Message Extraction", "slug": "core-message-extraction", "status": "active", "bestFor": "Any slide that carries an argument or finding. The diagnostic: if the slide has a chart on it, it needs a core message. Run extraction whenever the current title is a topic (Q3 performance, Customer satisfaction) rather than a claim, or when a reader could reasonably draw more than one conclusion from the visible evidence.", "canonId": "019dd956-bc71-707d-8867-1b2e810175cf", "version": 1, "bodyDocId": "f85613cb-4b77-462f-bfe6-3b862516e1a6", "description": "The discipline of distilling raw analysis, data, or content into a single declarative sentence — the slide's core message — that the audience would walk away with if they remembered nothing else. Process, not artefact: extraction questions run on the raw content until one sentence falls out.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-f9b6-74a0-8024-a56f1afafccd", "evidence": "Distills valuation thesis into rule-of-thumb DCF line.", "pageRefs": null, "priority": null, "whenToUse": "Any slide that carries an argument or finding. The diagnostic: if the slide has a chart on it, it needs a core message. Run extraction whenever the current title is a topic (Q3 performance, Customer satisfaction) rather than a claim, or when a reader could reasonably draw more than one conclusion from the visible evidence.", "confidence": 70, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 193, "whyItWorks": "Solves the two failure modes of slide writing simultaneously: the topic title (which outsources interpretation to the audience and produces three different conclusions in three different heads) and the multi-thesis stapler (which exceeds working memory and gets remembered as fragments). Aligns with how readers actually consume decks — Heath & Heath's Find the Core, the journalist's nut graf, and Minto's governing thought all converge on the same cognitive economics.", "antipattern": "Topic titles disguised as core messages (Customer satisfaction, no verb, no stake); multi-thesis sentences stapled with and; hedged sentences (may show signs of possible softening); chart-caption titles (Revenue fell 4%) that restate what the chart already shows instead of naming the so-what; meta-commentary (this slide explores...) that describes the slide rather than concluding it.", "cardinality": null, "narrativePurpose": "Forces the slide author to do the interpretive work before the slide ships, so the audience does not have to do it during the meeting. Wins the WYSIATI battle on purpose — the loudest fragment on the page becomes the author's chosen sentence rather than whichever chart label happens to be largest." } ], "frameworks": [], "arcBeats": [ { "to": 193, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 161, "name": "Evidence & Proof", "beatId": "019de7d7-dfdb-71ae-ab61-8a3533e45ef2", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "China leadership data + public/private company financials.", "position": 4, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 193, "from": 184, "loop": { "name": "02_pattern_hunter", "slug": "02-pattern-hunter", "status": "active", "bestFor": "Time-pressed audiences, building consensus, when data is strong", "canonId": "019dd956-6695-771a-be2e-f1748ef041a4", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion", "description": "Group multiple pieces of evidence that together point to a pattern or conclusion", "familyLabel": null }, "matchId": "019de7d7-e2d0-7279-b31b-54df6bba3560", "evidence": "p185 incumbent vs disruptor tables, p186 normalized growth curves, p188 top-20 leaderboard, p190 incumbent M&A surge.", "position": 12, "objective": "Stack public + private internet leader evidence to argue current generation growing faster than ever", "confidence": 70, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 194, "type": "setup", "title": "KPCB branding present.", "function": "transition", "rawType": "section_divider", "block": null, "metadata": { "slideType": "section_divider", "slideTypeCanon": { "name": "Section divider", "slug": "section_divider", "status": "active", "canonId": "019de52d-066a-7402-9554-6ae504999041", "version": 1, "description": null }, "function": "transition", "functionCanon": { "name": "Transition", "slug": "transition", "status": "active", "canonId": "019de52d-1365-7149-92aa-66df859e75fd", "version": 1, "description": null }, "density": "sparse", "densityScore": 4, "componentCount": 2, "textChars": 84, "nDataPoints": 0, "notes": "KPCB branding present.", "elementsJson": [ "headline_text" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:56.337+00", "seconds": 3.979, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/194", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-194", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.05, "w": 0.5, "x": 0.05, "y": 0.5 }, "kind": "paragraph", "text": "CREATED BY KPCB PARTNERS TED SCHLEIN / ALEX KURLAND", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:56.337+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "1543caab-5f54-454e-9c26-bca1ba541b62", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.6, "x": 0.05, "y": 0.3 }, "kind": "title", "text": "DATA AS A PLATFORM / DATA PRIVACY", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:56.337+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "128a6523-ce27-4b68-b10f-ffdd1705d5c3", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 213, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 194, "name": "Impact & Next Steps", "beatId": "019de7d7-dffb-769f-86ea-88c176a7885d", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Data-as-platform examples and privacy-debate implications close out.", "position": 5, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [], "locked": true }, { "page": 195, "type": "setup", "function": "transition", "rawType": "section_divider", "block": null, "metadata": { "slideType": "section_divider", "slideTypeCanon": { "name": "Section divider", "slug": "section_divider", "status": "active", "canonId": "019de52d-066a-7402-9554-6ae504999041", "version": 1, "description": null }, "function": "transition", "functionCanon": { "name": "Transition", "slug": "transition", "status": "active", "canonId": "019de52d-1365-7149-92aa-66df859e75fd", "version": 1, "description": null }, "density": "sparse", "densityScore": 0, "componentCount": 1, "textChars": 18, "nDataPoints": 0, "notes": null, "elementsJson": [ "headline_text" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:54.253+00", "seconds": 1.853, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/195", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-195", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.08, "w": 0.46, "x": 0.27, "y": 0.4 }, "kind": "title", "text": "Data as a Platform", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:54.253+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "9b8e0d2b-f25f-4dfc-b36e-2401d04d8ae2", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 213, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 194, "name": "Impact & Next Steps", "beatId": "019de7d7-dffb-769f-86ea-88c176a7885d", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Data-as-platform examples and privacy-debate implications close out.", "position": 5, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 213, "from": 195, "loop": { "name": "13_domino_effect", "slug": "13-domino-effect", "status": "active", "bestFor": "Strategy roadmaps, showing ROI of a specific feature, causal analysis", "canonId": "019dd956-6b0a-74a4-9ebb-77e5dc8152aa", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Trigger Action -> First Reaction -> Second Reaction -> Final Impact", "description": "Demonstrate how a single small strategic move triggers a cascade of positive outcomes", "familyLabel": null }, "matchId": "019de7d7-e2f0-72bd-8d16-aa957dd60a44", "evidence": "p196 50% data CAGR trigger, pp 202-206 platform reactions, p207 'security concerns explode', pp 209-213 breach + privacy fallout.", "position": 13, "objective": "Trigger: data explosion -> first reaction (data as platform) -> next (security/privacy fear) -> impact (legal/societal tension)", "confidence": 72, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 196, "type": "analysis", "title": "The chart uses a dual-axis approach to visualize the 'scissors' effect of rising demand and falling costs.", "function": "summarize", "rawType": "industry_trends", "block": null, "metadata": { "slideType": "industry_trends", "slideTypeCanon": { "name": "Industry trends", "slug": "industry_trends", "status": "active", "canonId": "019de52d-0b1d-7705-a0e0-c663199cd1fa", "version": 1, "description": null }, "function": "summarize", "functionCanon": { "name": "Summarize", "slug": "summarize", "status": "active", "canonId": "019de52d-1541-704f-b86f-bf7b75056373", "version": 1, "description": null }, "density": "balanced", "densityScore": 35, "componentCount": 5, "textChars": 308, "nDataPoints": 12, "notes": "The chart uses a dual-axis approach to visualize the 'scissors' effect of rising demand and falling costs.", "elementsJson": [ "headline_text", "line_chart", "footnote" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:55.611+00", "seconds": 3.097, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/196", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-196", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.6, "w": 0.8, "x": 0.1, "y": 0.25 }, "kind": "chart", "text": "Dual-axis line chart showing Data in Digital Universe (Petabytes) and Storage Costs ($/GB) from 2010 to 2015.", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Line chart", "slug": "line", "status": "active", "canonId": "019de52c-ff62-778f-8f6c-a952ceae8677", "version": 1, "description": null }, "framework": null }, "subkind": "line", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:55.611+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "29c4b3b5-4801-4910-9a93-610f5a7b4f4a", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "CAGR: +50%", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:32+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f31-03ddcbc7a0c1", "parentComponentId": null }, { "bbox": { "h": 0.02, "w": 0.1, "x": 0.1, "y": 0.95 }, "kind": "source-note", "text": "Source: IDC, May 2016.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:55.611+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "5b04cf4e-340e-4521-bf29-e7939b41b04e", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.96, "x": 0.02, "y": 0.02 }, "kind": "title", "text": "Global Data Growth Rising Fast = +50% CAGR since 2010... Data Infrastructure Costs Falling Fast = -20% CAGR", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Action title", "slug": "action-title", "status": "active", "canonId": "019de52c-fb31-734c-a0f5-a3935b73135d", "version": 1, "description": null }, "framework": null }, "subkind": "action-title", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:55.611+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "e7515874-10d3-476f-bf6d-23720052e3d2", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.7, "x": 0.15, "y": 0.18 }, "kind": "title", "text": "Data in Digital Universe vs. Data Storage Costs, 2010 – 2015", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:55.611+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "f952a21b-d942-452a-94ad-bb2650d80ba7", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Contrast Pairs", "slug": "contrast-pairs", "status": "active", "bestFor": null, "canonId": "019dd956-9b77-70d3-88b1-f34e26f60860", "version": 1, "bodyDocId": null, "description": "Creating tension through opposites: Before↔After, Problem↔Solution, Pain↔Relief", "familyLabel": null, "categoryName": "Loop", "categorySlug": "loop" }, "agent": "Storyteller", "layer": "loop", "agents": [ "Storyteller" ], "matchId": "019de7d7-fa3d-7731-9112-d48d48c6a382", "evidence": "Volume up vs cost down dual-axis.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 196, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-fa1c-758f-99f0-f966650d739c", "evidence": "+50% data CAGR vs -20% cost CAGR.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 82, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 196, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." }, { "tool": { "name": "Waterfall chart", "slug": "waterfall-chart", "status": "active", "bestFor": null, "canonId": "e2799da3-725f-44a9-a093-570f1f388e64", "version": 1, "bodyDocId": null, "description": null, "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "238f0cd1-a5c2-4627-8e9e-1bff83db1b03", "evidence": "Dual-axis line chart showing Data in Digital Universe (Petabytes) and Storage Costs ($/GB) from 2010 to 2015.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:00:30.492495+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 196, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 213, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 194, "name": "Impact & Next Steps", "beatId": "019de7d7-dffb-769f-86ea-88c176a7885d", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Data-as-platform examples and privacy-debate implications close out.", "position": 5, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 213, "from": 195, "loop": { "name": "13_domino_effect", "slug": "13-domino-effect", "status": "active", "bestFor": "Strategy roadmaps, showing ROI of a specific feature, causal analysis", "canonId": "019dd956-6b0a-74a4-9ebb-77e5dc8152aa", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Trigger Action -> First Reaction -> Second Reaction -> Final Impact", "description": "Demonstrate how a single small strategic move triggers a cascade of positive outcomes", "familyLabel": null }, "matchId": "019de7d7-e2f0-72bd-8d16-aa957dd60a44", "evidence": "p196 50% data CAGR trigger, pp 202-206 platform reactions, p207 'security concerns explode', pp 209-213 breach + privacy fallout.", "position": 13, "objective": "Trigger: data explosion -> first reaction (data as platform) -> next (security/privacy fear) -> impact (legal/societal tension)", "confidence": 72, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 197, "type": "analysis", "title": "The slide uses a hub-and-spoke visual metaphor to represent data aggregation.", "function": "establish_context", "rawType": "market_landscape", "block": null, "metadata": { "slideType": "market_landscape", "slideTypeCanon": { "name": "Market landscape", "slug": "market_landscape", "status": "active", "canonId": "019de52d-0b6d-75db-a946-9ac362e3afc2", "version": 1, "description": null }, "function": "establish_context", "functionCanon": { "name": "Establish context", "slug": "establish_context", "status": "active", "canonId": "019de52d-1314-74e6-9074-d213dc0bdcdf", "version": 1, "description": null }, "density": "sparse", "densityScore": 12, "componentCount": 3, "textChars": 193, "nDataPoints": 0, "notes": "The slide uses a hub-and-spoke visual metaphor to represent data aggregation.", "elementsJson": [ "headline_text", "infographic", "photo" ], "confidence": 0.95, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:55.075+00", "seconds": 2.506, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/197", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-197", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.72, "w": 0.72, "x": 0.14, "y": 0.15 }, "kind": "diagram", "text": "Central cloud icon connected to various consumer electronics and app icons", "attrs": null, "canon": { "kind": { "name": "Diagram", "slug": "diagram", "status": "active", "canonId": "019de52c-f9f0-734a-81de-15382ff28c65", "version": 1, "description": "Schematic or relational diagram." }, "tool": null, "subkind": { "name": "Hub and spoke", "slug": "hub-spoke", "status": "active", "canonId": "019de52d-04db-73e6-81ca-a234f2f23fc1", "version": 1, "description": null }, "framework": null }, "subkind": "hub-spoke", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:55.075+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "d0cb9ba9-7528-43fb-928f-a41e1467dbe0", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.35, "x": 0.1, "y": 0.94 }, "kind": "source-note", "text": "Source: Apple, DJI, Waze, Tesla, Microsoft, Ring, Fitbit, B & H Foto & Electronics.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:55.075+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "0b9340f3-a452-4444-bc2e-e73225cbeb3c", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.55, "x": 0.02, "y": 0.03 }, "kind": "title", "text": "Data Generators = Increasing Rapidly", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:55.075+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "12d6ea0b-c54e-486f-abab-0192fa46aa27", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Canvas framework", "slug": "canvas-framework", "status": "active", "bestFor": null, "canonId": "019dd9e1-5005-762c-82f8-265b08436ca1", "version": 1, "bodyDocId": null, "description": "Named canvas (business model canvas, value prop canvas, etc.).", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "6e264821-d8ca-4ceb-b5da-1d314ce5f48b", "evidence": "Central cloud icon connected to various consumer electronics and app icons", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:00:30.571557+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 197, "whyItWorks": null, "antipattern": null, "cardinality": "optional", "narrativePurpose": null } ], "frameworks": [ { "matchId": "d40bba7c-d963-4b69-ae8e-978b1d8141ec", "evidence": "Central cloud icon with lines radiating to peripheral device icons", "framework": null, "confidence": 0.9, "extraction": { "at": "2026-05-02 17:38:55.075+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 197, "frameworkName": "hub-spoke" } ], "arcBeats": [ { "to": 213, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 194, "name": "Impact & Next Steps", "beatId": "019de7d7-dffb-769f-86ea-88c176a7885d", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Data-as-platform examples and privacy-debate implications close out.", "position": 5, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 213, "from": 195, "loop": { "name": "13_domino_effect", "slug": "13-domino-effect", "status": "active", "bestFor": "Strategy roadmaps, showing ROI of a specific feature, causal analysis", "canonId": "019dd956-6b0a-74a4-9ebb-77e5dc8152aa", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Trigger Action -> First Reaction -> Second Reaction -> Final Impact", "description": "Demonstrate how a single small strategic move triggers a cascade of positive outcomes", "familyLabel": null }, "matchId": "019de7d7-e2f0-72bd-8d16-aa957dd60a44", "evidence": "p196 50% data CAGR trigger, pp 202-206 platform reactions, p207 'security concerns explode', pp 209-213 breach + privacy fallout.", "position": 13, "objective": "Trigger: data explosion -> first reaction (data as platform) -> next (security/privacy fear) -> impact (legal/societal tension)", "confidence": 72, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 198, "type": "analysis", "title": "The slide uses a vertical arrow to represent a progression of 'Sources of Leverage for Global Internet Growth'.", "function": "present_framework", "rawType": "industry_trends", "block": null, "metadata": { "slideType": "industry_trends", "slideTypeCanon": { "name": "Industry trends", "slug": "industry_trends", "status": "active", "canonId": "019de52d-0b1d-7705-a0e0-c663199cd1fa", "version": 1, "description": null }, "function": "present_framework", "functionCanon": { "name": "Present framework", "slug": "present_framework", "status": "active", "canonId": "019de52d-1403-7667-9100-d2ac6709f750", "version": 1, "description": null }, "density": "dense", "densityScore": 73, "componentCount": 8, "textChars": 1145, "nDataPoints": 0, "notes": "The slide uses a vertical arrow to represent a progression of 'Sources of Leverage for Global Internet Growth'.", "elementsJson": [ "headline_text", "process_diagram", "other" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:39:00.332+00", "seconds": 7.722, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/198", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-198", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "Next Big Wave = Leveraging this unlimited connectivity & storage to collect / aggregate / correlate / interpret all of this data to improve people’s lives & enable enterprises to operate more efficiently", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:31+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f30-73a9fcf3d1bc", "parentComponentId": null }, { "bbox": { "h": 0.75, "w": 0.05, "x": 0.03, "y": 0.15 }, "kind": "framework", "text": "Sources of Leverage for Global Internet Growth", "attrs": null, "canon": { "kind": { "name": "Framework", "slug": "framework", "status": "active", "canonId": "019de52c-fa18-77c6-b10a-ccb8277ac0fa", "version": 1, "description": "Named conceptual framework instance." }, "tool": null, "subkind": { "name": "Framework instance", "slug": "instance", "status": "active", "canonId": "019de52d-05a2-72af-be0b-7edc60708a03", "version": 1, "description": null }, "framework": null }, "subkind": "instance", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:39:00.332+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "4392da38-f8c4-4c09-ae0e-c9f2e2ba490b", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.85, "x": 0.1, "y": 0.35 }, "kind": "list", "text": "The Software: Optimizing the network with software became far more capital efficient than additional capex buildouts...ultimately resulting in the creation of pervasive networks (siloed data centers -> AWS)...& then pervasive software (Siebel -> Salesforce)", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:39:00.332+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "1af29353-730c-4910-a663-400374ec2431", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.85, "x": 0.1, "y": 0.75 }, "kind": "list", "text": "The Data: Next Big Wave = Leveraging this unlimited connectivity & storage to collect / aggregate / correlate / interpret all of this data to improve people's lives & enable enterprises to operate more efficiently", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:39:00.332+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "737c3030-0893-4e87-ac59-fdbd9e0c58ab", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.85, "x": 0.1, "y": 0.55 }, "kind": "list", "text": "The Infrastructure: Emergence of pervasive software created the need to optimize the performance of the network & store extraordinary amounts of data at extremely low prices", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:39:00.332+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "7689d396-f2cc-4de2-9fc0-eaaa16074792", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.85, "x": 0.1, "y": 0.15 }, "kind": "list", "text": "The Network: Large investments in fiber optic & last-mile cables created connectivity that facilitated the early Internet growth", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:39:00.332+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "bac34011-d6a4-4cd3-8ff1-9fb430187459", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.3, "x": 0.02, "y": 0.95 }, "kind": "source-note", "text": "Source: Adam Ghetti, Ionic Security; Ted Schlein, KPCB.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:39:00.332+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "57d0725e-7b32-4670-8160-0401a2fa974e", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.6, "x": 0.02, "y": 0.02 }, "kind": "title", "text": "Data = A New Growth Platform... Powering New Services / Systems / Apps", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:39:00.332+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "0dad8153-0516-42d2-82a3-04b37cd56bce", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Causal Chain", "slug": "causal-chain", "status": "active", "bestFor": null, "canonId": "019dd956-9e98-7269-907b-8cf727e9499d", "version": 1, "bodyDocId": null, "description": "Showing how one event leads to another in sequence", "familyLabel": null, "categoryName": "Loop", "categorySlug": "loop" }, "agent": "Architect", "layer": "loop", "agents": [ "Architect" ], "matchId": "019de7d7-fa5c-73ed-9f25-cf63f4682c80", "evidence": "Network -> software -> data progression of leverage.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 198, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "List presentation", "slug": "list-presentation", "status": "active", "bestFor": null, "canonId": "019dd9e1-4ef7-777d-ba68-9074c2b3bcf1", "version": 1, "bodyDocId": null, "description": "Bulleted, numbered, or checklist enumerations.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "acd44116-9977-47d7-ba3c-225ae78e661d", "evidence": "list/bullet: The Software: ... list/bullet: The Data: ... list/bullet: The Infrastructure: ... list/bullet: The Network: ...", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:00:30.65288+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 198, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null } ], "frameworks": [ { "matchId": "17444300-d60c-49e6-afd6-ad200e55d459", "evidence": "The slide presents a sequential progression of four stages where each stage builds upon the previous one to drive growth.", "framework": null, "confidence": 0.9, "extraction": { "at": "2026-05-02 17:39:00.332+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 198, "frameworkName": "causal-chain" }, { "matchId": "019de7d7-fe9d-718e-9bef-d8e9b3b4f89d", "evidence": "Vertical leverage-source progression: networks -> software -> data.", "framework": null, "confidence": 55, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 198, "frameworkName": "Three Horizons / wave evolution" } ], "arcBeats": [ { "to": 213, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 194, "name": "Impact & Next Steps", "beatId": "019de7d7-dffb-769f-86ea-88c176a7885d", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Data-as-platform examples and privacy-debate implications close out.", "position": 5, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 213, "from": 195, "loop": { "name": "13_domino_effect", "slug": "13-domino-effect", "status": "active", "bestFor": "Strategy roadmaps, showing ROI of a specific feature, causal analysis", "canonId": "019dd956-6b0a-74a4-9ebb-77e5dc8152aa", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Trigger Action -> First Reaction -> Second Reaction -> Final Impact", "description": "Demonstrate how a single small strategic move triggers a cascade of positive outcomes", "familyLabel": null }, "matchId": "019de7d7-e2f0-72bd-8d16-aa957dd60a44", "evidence": "p196 50% data CAGR trigger, pp 202-206 platform reactions, p207 'security concerns explode', pp 209-213 breach + privacy fallout.", "position": 13, "objective": "Trigger: data explosion -> first reaction (data as platform) -> next (security/privacy fear) -> impact (legal/societal tension)", "confidence": 72, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 199, "type": "analysis", "title": "The slide uses a chronological wave-based framework to categorize software, security, and infrastructure components.", "function": "present_framework", "rawType": "industry_trends", "block": null, "metadata": { "slideType": "industry_trends", "slideTypeCanon": { "name": "Industry trends", "slug": "industry_trends", "status": "active", "canonId": "019de52d-0b1d-7705-a0e0-c663199cd1fa", "version": 1, "description": null }, "function": "present_framework", "functionCanon": { "name": "Present framework", "slug": "present_framework", "status": "active", "canonId": "019de52d-1403-7667-9100-d2ac6709f750", "version": 1, "description": null }, "density": "sparse", "densityScore": 9, "componentCount": 3, "textChars": 118, "nDataPoints": 0, "notes": "The slide uses a chronological wave-based framework to categorize software, security, and infrastructure components.", "elementsJson": [ "process_diagram" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:57.581+00", "seconds": 4.962, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/199", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-199", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.8, "w": 0.92, "x": 0.05, "y": 0.12 }, "kind": "diagram", "text": "Three waves of data platform evolution", "attrs": null, "canon": { "kind": { "name": "Diagram", "slug": "diagram", "status": "active", "canonId": "019de52c-f9f0-734a-81de-15382ff28c65", "version": 1, "description": "Schematic or relational diagram." }, "tool": null, "subkind": { "name": "Process flow", "slug": "process", "status": "active", "canonId": "019de52d-039c-718f-ad3a-efe9c4b3c838", "version": 1, "description": null }, "framework": null }, "subkind": "process", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:57.581+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "ca1f6ca2-8a7a-44c3-a615-98b10fb2ae75", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.2, "x": 0.1, "y": 0.95 }, "kind": "source-note", "text": "Source: Looker, Ionic Security, KPCB.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:57.581+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "ba79d0ab-ffa0-49b6-8f25-dc415fde6e22", "parentComponentId": null }, { "bbox": { "h": 0.06, "w": 0.65, "x": 0.02, "y": 0.03 }, "kind": "title", "text": "Evolution of the Data Platform, 1990 – 2016", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:57.581+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "628bb722-5d31-4fef-bfa4-62d25a95c8f5", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Causal Chain", "slug": "causal-chain", "status": "active", "bestFor": null, "canonId": "019dd956-9e98-7269-907b-8cf727e9499d", "version": 1, "bodyDocId": null, "description": "Showing how one event leads to another in sequence", "familyLabel": null, "categoryName": "Loop", "categorySlug": "loop" }, "agent": "Architect", "layer": "loop", "agents": [ "Architect" ], "matchId": "019de7d7-fa7b-72ea-8a3c-002e9be4d796", "evidence": "Three-wave evolution diagram with arrows.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 199, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Process flow", "slug": "process-flow", "status": "active", "bestFor": null, "canonId": "019dd9e1-4dca-76bc-8135-401836a1c4c0", "version": 1, "bodyDocId": null, "description": "Workflow, steps, sequential diagram.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "8c0f9a0b-038b-47cd-be68-e87e3076825a", "evidence": "Three waves of data platform evolution", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:00:30.735538+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 199, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null } ], "frameworks": [ { "matchId": "019de7d7-febc-756f-9278-416786215602", "evidence": "1990s -> 2000s -> 2010s tech-stack waves.", "framework": null, "confidence": 60, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 199, "frameworkName": "Three-wave platform evolution" }, { "matchId": "573204bb-a01c-44c8-870f-5fc20bcfbde5", "evidence": "The slide organizes data platform evolution into three distinct chronological waves (First, Second, Third).", "framework": null, "confidence": 0.9, "extraction": { "at": "2026-05-02 17:38:57.581+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 199, "frameworkName": "timeline" } ], "arcBeats": [ { "to": 213, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 194, "name": "Impact & Next Steps", "beatId": "019de7d7-dffb-769f-86ea-88c176a7885d", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Data-as-platform examples and privacy-debate implications close out.", "position": 5, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 213, "from": 195, "loop": { "name": "13_domino_effect", "slug": "13-domino-effect", "status": "active", "bestFor": "Strategy roadmaps, showing ROI of a specific feature, causal analysis", "canonId": "019dd956-6b0a-74a4-9ebb-77e5dc8152aa", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Trigger Action -> First Reaction -> Second Reaction -> Final Impact", "description": "Demonstrate how a single small strategic move triggers a cascade of positive outcomes", "familyLabel": null }, "matchId": "019de7d7-e2f0-72bd-8d16-aa957dd60a44", "evidence": "p196 50% data CAGR trigger, pp 202-206 platform reactions, p207 'security concerns explode', pp 209-213 breach + privacy fallout.", "position": 13, "objective": "Trigger: data explosion -> first reaction (data as platform) -> next (security/privacy fear) -> impact (legal/societal tension)", "confidence": 72, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 200, "type": "setup", "function": "summarize", "rawType": "quote_slide", "block": null, "metadata": { "slideType": "quote_slide", "slideTypeCanon": { "name": "Quote slide", "slug": "quote_slide", "status": "active", "canonId": "019de52d-098e-7555-a9fd-4f0af7e80bc2", "version": 1, "description": null }, "function": "summarize", "functionCanon": { "name": "Summarize", "slug": "summarize", "status": "active", "canonId": "019de52d-1541-704f-b86f-bf7b75056373", "version": 1, "description": null }, "density": "sparse", "densityScore": 22, "componentCount": 3, "textChars": 415, "nDataPoints": 0, "notes": null, "elementsJson": [ "quote_block" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:55.16+00", "seconds": 2.454, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/200", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-200", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.025, "w": 0.335, "x": 0.218, "y": 0.663 }, "kind": "paragraph", "text": "FRANK BIEN, CEO OF LOOKER, 2016", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:55.16+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "8355f6c4-9826-4fe4-8588-7c566b6c47be", "parentComponentId": null }, { "bbox": { "h": 0.302, "w": 0.564, "x": 0.218, "y": 0.298 }, "kind": "quote", "text": "Data is moving from something you use outside the workstream to becoming a part of the business app itself. It’s how the new knowledge worker is actually performing their job.", "attrs": null, "canon": { "kind": { "name": "Quote", "slug": "quote", "status": "active", "canonId": "019de52c-f8fb-751e-8bc6-d58e2d59562a", "version": 1, "description": "Pull quote or testimonial." }, "tool": null, "subkind": { "name": "Pull quote", "slug": "pull-quote", "status": "active", "canonId": "019de52c-fbf9-76fe-97e1-a0b7540445c9", "version": 1, "description": null }, "framework": null }, "subkind": "pull-quote", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:55.16+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "5ada7d76-4297-4392-a649-8b8a51e7e584", "parentComponentId": null }, { "bbox": null, "kind": "quote", "text": "Data is moving from something you use outside the workstream to becoming a part of the business app itself. It's how the new knowledge worker is actually performing their job. — FRANK BIEN, CEO OF LOOKER, 2016", "attrs": null, "canon": { "kind": { "name": "Quote", "slug": "quote", "status": "active", "canonId": "019de52c-f8fb-751e-8bc6-d58e2d59562a", "version": 1, "description": "Pull quote or testimonial." }, "tool": { "name": "Authority citation", "slug": "authority-citation", "status": "active", "bestFor": null, "canonId": "019dd9e1-49ae-7557-89ad-3fca70469b45", "version": 1, "bodyDocId": null, "description": "Quoting an authority figure, study, or precedent to lend weight.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:33+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f31-18ea6572c82f", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Authority Bias", "slug": "authority-bias", "status": "active", "bestFor": null, "canonId": "019dd956-c38d-70b9-a284-b2b479763356", "version": 1, "bodyDocId": null, "description": "Expert opinions are weighted more heavily - cite credible sources", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Architect", "Storyteller" ], "matchId": "019de7d7-fa9b-7138-bcaa-dfe4b4c30036", "evidence": "Frank Bien (Looker CEO) quote validates thesis.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 200, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Credibility Transfer", "slug": "credibility-transfer", "status": "active", "bestFor": null, "canonId": "019dd956-bd34-759a-8e3b-2f14b571a2a1", "version": 1, "bodyDocId": null, "description": "Borrowing authority from trusted sources or vivid details", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "019de7d7-fab9-75c7-ae28-a16ef78dcef4", "evidence": "Industry CEO endorses data-in-workstream claim.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 72, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 200, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 213, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 194, "name": "Impact & Next Steps", "beatId": "019de7d7-dffb-769f-86ea-88c176a7885d", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Data-as-platform examples and privacy-debate implications close out.", "position": 5, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 213, "from": 195, "loop": { "name": "13_domino_effect", "slug": "13-domino-effect", "status": "active", "bestFor": "Strategy roadmaps, showing ROI of a specific feature, causal analysis", "canonId": "019dd956-6b0a-74a4-9ebb-77e5dc8152aa", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Trigger Action -> First Reaction -> Second Reaction -> Final Impact", "description": "Demonstrate how a single small strategic move triggers a cascade of positive outcomes", "familyLabel": null }, "matchId": "019de7d7-e2f0-72bd-8d16-aa957dd60a44", "evidence": "p196 50% data CAGR trigger, pp 202-206 platform reactions, p207 'security concerns explode', pp 209-213 breach + privacy fallout.", "position": 13, "objective": "Trigger: data explosion -> first reaction (data as platform) -> next (security/privacy fear) -> impact (legal/societal tension)", "confidence": 72, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 201, "type": "setup", "function": "transition", "rawType": "section_divider", "block": null, "metadata": { "slideType": "section_divider", "slideTypeCanon": { "name": "Section divider", "slug": "section_divider", "status": "active", "canonId": "019de52d-066a-7402-9554-6ae504999041", "version": 1, "description": null }, "function": "transition", "functionCanon": { "name": "Transition", "slug": "transition", "status": "active", "canonId": "019de52d-1365-7149-92aa-66df859e75fd", "version": 1, "description": null }, "density": "sparse", "densityScore": 3, "componentCount": 1, "textChars": 90, "nDataPoints": 0, "notes": null, "elementsJson": [ "headline_text" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:54.916+00", "seconds": 2.118, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/201", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-201", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.25, "w": 0.7, "x": 0.15, "y": 0.375 }, "kind": "title", "text": "Data as a Platform –\nA Few Companies\nUtilizing Analytics to Improve\nBusiness Efficiency...", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:54.916+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "637a6321-669b-4b4a-a5dd-9ddc07247724", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 213, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 194, "name": "Impact & Next Steps", "beatId": "019de7d7-dffb-769f-86ea-88c176a7885d", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Data-as-platform examples and privacy-debate implications close out.", "position": 5, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 213, "from": 195, "loop": { "name": "13_domino_effect", "slug": "13-domino-effect", "status": "active", "bestFor": "Strategy roadmaps, showing ROI of a specific feature, causal analysis", "canonId": "019dd956-6b0a-74a4-9ebb-77e5dc8152aa", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Trigger Action -> First Reaction -> Second Reaction -> Final Impact", "description": "Demonstrate how a single small strategic move triggers a cascade of positive outcomes", "familyLabel": null }, "matchId": "019de7d7-e2f0-72bd-8d16-aa957dd60a44", "evidence": "p196 50% data CAGR trigger, pp 202-206 platform reactions, p207 'security concerns explode', pp 209-213 breach + privacy fallout.", "position": 13, "objective": "Trigger: data explosion -> first reaction (data as platform) -> next (security/privacy fear) -> impact (legal/societal tension)", "confidence": 72, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 202, "type": "setup", "title": "Uses a 'Then vs Now' framing to illustrate the value proposition of the Looker platform.", "function": "compare_options", "rawType": "comparison_table", "block": null, "metadata": { "slideType": "comparison_table", "slideTypeCanon": { "name": "Comparison table", "slug": "comparison_table", "status": "active", "canonId": "019de52d-0a06-73f8-8813-fe022fab1de2", "version": 1, "description": null }, "function": "compare_options", "functionCanon": { "name": "Compare options", "slug": "compare_options", "status": "active", "canonId": "019de52d-167f-7038-aebc-70a9d2e0e33b", "version": 1, "description": null }, "density": "dense", "densityScore": 63, "componentCount": 9, "textChars": 480, "nDataPoints": 0, "notes": "Uses a 'Then vs Now' framing to illustrate the value proposition of the Looker platform.", "elementsJson": [ "headline_text", "screenshot", "paragraph" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:59.62+00", "seconds": 6.72, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/202", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-202", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.07, "w": 0.35, "x": 0.56, "y": 0.67 }, "kind": "callout", "text": "Looker Data Platform", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": null, "subkind": { "name": "Primary callout", "slug": "primary", "status": "active", "canonId": "019de52c-fbd1-70eb-a9ce-8997f8674c1d", "version": 1, "description": null }, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:59.62+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "a5cea3e6-3432-43ee-8b62-3d2d7ecc5d27", "parentComponentId": null }, { "bbox": null, "kind": "callout", "text": "Data analytics platform built for both data analysts & non-technical business users that can scale throughout organizations", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:33+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f31-3e162281da53", "parentComponentId": null }, { "bbox": { "h": 0.5, "w": 0.4, "x": 0.05, "y": 0.3 }, "kind": "image", "text": "Scattered documents representing silos", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Illustration", "slug": "illustration", "status": "active", "canonId": "019de52c-fe76-7772-a5ac-c0b7294d7615", "version": 1, "description": null }, "framework": null }, "subkind": "illustration", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:59.62+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "f3ff5909-2cfb-4e52-ab23-df931bebc7ec", "parentComponentId": null }, { "bbox": { "h": 0.4, "w": 0.45, "x": 0.52, "y": 0.3 }, "kind": "image", "text": "Looker dashboard screenshots", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Screenshot", "slug": "screenshot", "status": "active", "canonId": "019de52c-fd87-7509-8391-3d79fb339379", "version": 1, "description": null }, "framework": null }, "subkind": "screenshot", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:59.62+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "b98f0ad1-4dfa-4e04-8f1c-a884a6f06da3", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.4, "x": 0.55, "y": 0.14 }, "kind": "paragraph", "text": "NOW: Looker", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:59.62+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "0d8a636f-b2eb-4575-aea0-6a681d39eabc", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.7, "x": 0.15, "y": 0.85 }, "kind": "paragraph", "text": "Data analytics platform built for both data analysts & non-technical business users that can scale throughout organizations", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:59.62+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "67a1cb77-ff45-434b-a163-0e8024349673", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.4, "x": 0.05, "y": 0.14 }, "kind": "paragraph", "text": "THEN: Complex Tools Operated by Data Analysts, Chaos of Data Silos Across the Company", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:59.62+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "75356165-e2e7-4249-9f53-f690888c6935", "parentComponentId": null }, { "bbox": { "h": 0.02, "w": 0.1, "x": 0.1, "y": 0.95 }, "kind": "source-note", "text": "Source: Looker.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:59.62+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "4d8502b1-e7e5-4987-b8f2-22f91ac1c069", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.45, "x": 0.02, "y": 0.02 }, "kind": "title", "text": "Data Analytics as a Platform = Looker", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:59.62+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "a00beea7-614c-41f9-b888-da6271a4f874", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Contrast Pairs", "slug": "contrast-pairs", "status": "active", "bestFor": null, "canonId": "019dd956-9b77-70d3-88b1-f34e26f60860", "version": 1, "bodyDocId": null, "description": "Creating tension through opposites: Before↔After, Problem↔Solution, Pain↔Relief", "familyLabel": null, "categoryName": "Loop", "categorySlug": "loop" }, "agent": "Storyteller", "layer": "loop", "agents": [ "Storyteller" ], "matchId": "019de7d7-fad8-720b-b22e-c358461869ba", "evidence": "Scattered papers vs unified dashboard before/after.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 80, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 202, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [ { "matchId": "ee36bc3f-e0a3-450e-ab33-027e74108134", "evidence": "The slide explicitly contrasts a 'THEN' state of chaos with a 'NOW' state of unified platform.", "framework": null, "confidence": 1, "extraction": { "at": "2026-05-02 17:38:59.62+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 202, "frameworkName": "before-after-framing" } ], "arcBeats": [ { "to": 213, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 194, "name": "Impact & Next Steps", "beatId": "019de7d7-dffb-769f-86ea-88c176a7885d", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Data-as-platform examples and privacy-debate implications close out.", "position": 5, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 213, "from": 195, "loop": { "name": "13_domino_effect", "slug": "13-domino-effect", "status": "active", "bestFor": "Strategy roadmaps, showing ROI of a specific feature, causal analysis", "canonId": "019dd956-6b0a-74a4-9ebb-77e5dc8152aa", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Trigger Action -> First Reaction -> Second Reaction -> Final Impact", "description": "Demonstrate how a single small strategic move triggers a cascade of positive outcomes", "familyLabel": null }, "matchId": "019de7d7-e2f0-72bd-8d16-aa957dd60a44", "evidence": "p196 50% data CAGR trigger, pp 202-206 platform reactions, p207 'security concerns explode', pp 209-213 breach + privacy fallout.", "position": 13, "objective": "Trigger: data explosion -> first reaction (data as platform) -> next (security/privacy fear) -> impact (legal/societal tension)", "confidence": 72, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 203, "type": "setup", "title": "Uses a 'Then vs Now' framing to illustrate product evolution.", "function": "compare_options", "rawType": "comparison_table", "block": null, "metadata": { "slideType": "comparison_table", "slideTypeCanon": { "name": "Comparison table", "slug": "comparison_table", "status": "active", "canonId": "019de52d-0a06-73f8-8813-fe022fab1de2", "version": 1, "description": null }, "function": "compare_options", "functionCanon": { "name": "Compare options", "slug": "compare_options", "status": "active", "canonId": "019de52d-167f-7038-aebc-70a9d2e0e33b", "version": 1, "description": null }, "density": "dense", "densityScore": 59, "componentCount": 8, "textChars": 496, "nDataPoints": 0, "notes": "Uses a 'Then vs Now' framing to illustrate product evolution.", "elementsJson": [ "headline_text", "screenshot", "paragraph" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:59.675+00", "seconds": 6.735, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/203", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-203", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "CRM solution that helps businesses build stronger customer relationships by analyzing data & patterns to identify opportunities.", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:33+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f31-b7136746483d", "parentComponentId": null }, { "bbox": { "h": 0.45, "w": 0.42, "x": 0.06, "y": 0.36 }, "kind": "image", "text": "Legacy Salesforce interface", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Screenshot", "slug": "screenshot", "status": "active", "canonId": "019de52c-fd87-7509-8391-3d79fb339379", "version": 1, "description": null }, "framework": null }, "subkind": "screenshot", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:59.675+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "34b82e1f-79ee-4dc3-84fb-b25f4beb95cb", "parentComponentId": null }, { "bbox": { "h": 0.45, "w": 0.42, "x": 0.55, "y": 0.36 }, "kind": "image", "text": "SalesforceIQ interface", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Screenshot", "slug": "screenshot", "status": "active", "canonId": "019de52c-fd87-7509-8391-3d79fb339379", "version": 1, "description": null }, "framework": null }, "subkind": "screenshot", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:59.675+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "79bdd3f6-0f05-49c7-a311-01bc2b66a6b3", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.4, "x": 0.05, "y": 0.15 }, "kind": "list", "text": "THEN: Difficult to Customize, Lack of Automated Customer Insights", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Comparison list", "slug": "comparison", "status": "active", "canonId": "019de52c-fce7-733e-99d3-030a104727bf", "version": 1, "description": null }, "framework": null }, "subkind": "comparison", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:59.675+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "bb8f9c12-d745-48d2-be7c-5b50a4aa9978", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.4, "x": 0.55, "y": 0.15 }, "kind": "list", "text": "NOW: SalesforceIQ", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Comparison list", "slug": "comparison", "status": "active", "canonId": "019de52c-fce7-733e-99d3-030a104727bf", "version": 1, "description": null }, "framework": null }, "subkind": "comparison", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:59.675+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "bd166fa1-fa70-4274-9e54-0ac6f18cbec8", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.7, "x": 0.15, "y": 0.85 }, "kind": "paragraph", "text": "CRM solution that helps businesses build stronger customer relationships by analyzing data & patterns to identify opportunities.", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:59.675+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "49e39f89-ae04-4d0f-8115-55c3a138d3ae", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.2, "x": 0.02, "y": 0.95 }, "kind": "source-note", "text": "Source: Bomgar Corporation, Salesforce.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:59.675+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "c47880bf-5964-4dbf-934e-97102a140bcf", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.96, "x": 0.02, "y": 0.02 }, "kind": "title", "text": "Customer Data & Relationship Intelligence as a Platform = SalesforceIQ", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:59.675+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "be504cba-0d86-4a90-bded-70cdb6b52575", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Before-After-Bridge", "slug": "before-after-bridge", "status": "active", "bestFor": null, "canonId": "019dd956-8604-7188-883f-42370288ad05", "version": 1, "bodyDocId": null, "description": "Narrative structure: Paint the before, show the after, explain the bridge", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Storyteller", "layer": "block", "agents": [ "Storyteller" ], "matchId": "019de7d7-fb64-73c8-af91-1ed37360ee36", "evidence": "Explicit Then vs Now framing.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 75, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 203, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Contrast Pairs", "slug": "contrast-pairs", "status": "active", "bestFor": null, "canonId": "019dd956-9b77-70d3-88b1-f34e26f60860", "version": 1, "bodyDocId": null, "description": "Creating tension through opposites: Before↔After, Problem↔Solution, Pain↔Relief", "familyLabel": null, "categoryName": "Loop", "categorySlug": "loop" }, "agent": "Storyteller", "layer": "loop", "agents": [ "Storyteller" ], "matchId": "019de7d7-faf7-72b4-b5d2-aead54919aa2", "evidence": "Then-vs-now CRM UX contrast.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 80, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 203, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [ { "matchId": "5aaef43c-4dff-4449-849c-1c5d1d8e5b43", "evidence": "The slide explicitly contrasts 'THEN' and 'NOW' states to demonstrate product improvement.", "framework": null, "confidence": 1, "extraction": { "at": "2026-05-02 17:38:59.675+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 203, "frameworkName": "before-after-framing" } ], "arcBeats": [ { "to": 213, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 194, "name": "Impact & Next Steps", "beatId": "019de7d7-dffb-769f-86ea-88c176a7885d", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Data-as-platform examples and privacy-debate implications close out.", "position": 5, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 213, "from": 195, "loop": { "name": "13_domino_effect", "slug": "13-domino-effect", "status": "active", "bestFor": "Strategy roadmaps, showing ROI of a specific feature, causal analysis", "canonId": "019dd956-6b0a-74a4-9ebb-77e5dc8152aa", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Trigger Action -> First Reaction -> Second Reaction -> Final Impact", "description": "Demonstrate how a single small strategic move triggers a cascade of positive outcomes", "familyLabel": null }, "matchId": "019de7d7-e2f0-72bd-8d16-aa957dd60a44", "evidence": "p196 50% data CAGR trigger, pp 202-206 platform reactions, p207 'security concerns explode', pp 209-213 breach + privacy fallout.", "position": 13, "objective": "Trigger: data explosion -> first reaction (data as platform) -> next (security/privacy fear) -> impact (legal/societal tension)", "confidence": 72, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 204, "type": "setup", "title": "Uses a 'Then vs Now' framing to illustrate industry evolution.", "function": "compare_options", "rawType": "comparison_table", "block": null, "metadata": { "slideType": "comparison_table", "slideTypeCanon": { "name": "Comparison table", "slug": "comparison_table", "status": "active", "canonId": "019de52d-0a06-73f8-8813-fe022fab1de2", "version": 1, "description": null }, "function": "compare_options", "functionCanon": { "name": "Compare options", "slug": "compare_options", "status": "active", "canonId": "019de52d-167f-7038-aebc-70a9d2e0e33b", "version": 1, "description": null }, "density": "dense", "densityScore": 70, "componentCount": 11, "textChars": 536, "nDataPoints": 0, "notes": "Uses a 'Then vs Now' framing to illustrate industry evolution.", "elementsJson": [ "headline_text", "photo", "screenshot", "paragraph" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:56.654+00", "seconds": 3.659, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/204", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-204", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "Worldwide maps crowdsourced by a community of smartphone users whose mobile navigation data facilitates real-time updates to the platform", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:34+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f31-f5a038cda62a", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.32, "x": 0.08, "y": 0.31 }, "kind": "image", "text": "Google street view cars", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Photo", "slug": "photo", "status": "active", "canonId": "019de52c-fd37-757f-b4a8-ca26d4888875", "version": 1, "description": null }, "framework": null }, "subkind": "photo", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:56.654+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "45b2700e-9bd5-43dd-8ec2-38ad5ce1668f", "parentComponentId": null }, { "bbox": { "h": 0.3, "w": 0.32, "x": 0.59, "y": 0.38 }, "kind": "image", "text": "Mapbox mobile app interface", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Screenshot", "slug": "screenshot", "status": "active", "canonId": "019de52c-fd87-7509-8391-3d79fb339379", "version": 1, "description": null }, "framework": null }, "subkind": "screenshot", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:56.654+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "7b6998fc-7a4c-42ad-983f-a4c2e76e6c93", "parentComponentId": null }, { "bbox": { "h": 0.35, "w": 0.32, "x": 0.14, "y": 0.45 }, "kind": "image", "text": "Philadelphia crime map", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Screenshot", "slug": "screenshot", "status": "active", "canonId": "019de52c-fd87-7509-8391-3d79fb339379", "version": 1, "description": null }, "framework": null }, "subkind": "screenshot", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:56.654+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "ee98ce86-b75f-456b-a604-44fad048e848", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.4, "x": 0.05, "y": 0.19 }, "kind": "paragraph", "text": "Difficult & Expensive to Collect Data... Limited In-App Digital Map Usage", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:56.654+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "0bf88a87-d0c8-4c95-aec6-23de6cdbd7e8", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.7, "x": 0.15, "y": 0.85 }, "kind": "paragraph", "text": "Worldwide maps crowdsourced by a community of smartphone users whose mobile navigation data facilitates real-time updates to the platform", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:56.654+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "3d380eec-2e2b-42d9-abb2-ff25112b5ea2", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.1, "x": 0.7, "y": 0.19 }, "kind": "paragraph", "text": "Mapbox", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:56.654+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "d3822b9c-9ea1-488e-abdb-9fe8181cfd69", "parentComponentId": null }, { "bbox": { "h": 0.02, "w": 0.3, "x": 0.14, "y": 0.95 }, "kind": "source-note", "text": "Source: Forbes; Technical.ly; Philadelphia Police Department; Mapbox.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:56.654+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "178545ee-86e7-4eb4-9645-62209a887e7e", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.45, "x": 0.02, "y": 0.02 }, "kind": "title", "text": "Data Mapping as a Platform = Mapbox", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:56.654+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "408f59b0-e746-4270-b096-e02a8cd81b02", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.1, "x": 0.2, "y": 0.14 }, "kind": "title", "text": "THEN", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:56.654+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "7364abd7-ce50-4103-b490-d9b7bf6f32be", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.1, "x": 0.7, "y": 0.14 }, "kind": "title", "text": "NOW", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:56.654+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "c5f68397-4184-4b1b-b938-fa387e46763b", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Contrast Pairs", "slug": "contrast-pairs", "status": "active", "bestFor": null, "canonId": "019dd956-9b77-70d3-88b1-f34e26f60860", "version": 1, "bodyDocId": null, "description": "Creating tension through opposites: Before↔After, Problem↔Solution, Pain↔Relief", "familyLabel": null, "categoryName": "Loop", "categorySlug": "loop" }, "agent": "Storyteller", "layer": "loop", "agents": [ "Storyteller" ], "matchId": "019de7d7-fb86-71a8-a58e-1abce164837a", "evidence": "Static vehicle data vs crowdsourced mobile updates.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 80, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 204, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [ { "matchId": "b86a5733-66a5-47dd-87cf-8eb87bcb4d77", "evidence": "The slide explicitly contrasts 'THEN' and 'NOW' to show evolution.", "framework": null, "confidence": 1, "extraction": { "at": "2026-05-02 17:38:56.654+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 204, "frameworkName": "before-after-framing" } ], "arcBeats": [ { "to": 213, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 194, "name": "Impact & Next Steps", "beatId": "019de7d7-dffb-769f-86ea-88c176a7885d", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Data-as-platform examples and privacy-debate implications close out.", "position": 5, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 213, "from": 195, "loop": { "name": "13_domino_effect", "slug": "13-domino-effect", "status": "active", "bestFor": "Strategy roadmaps, showing ROI of a specific feature, causal analysis", "canonId": "019dd956-6b0a-74a4-9ebb-77e5dc8152aa", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Trigger Action -> First Reaction -> Second Reaction -> Final Impact", "description": "Demonstrate how a single small strategic move triggers a cascade of positive outcomes", "familyLabel": null }, "matchId": "019de7d7-e2f0-72bd-8d16-aa957dd60a44", "evidence": "p196 50% data CAGR trigger, pp 202-206 platform reactions, p207 'security concerns explode', pp 209-213 breach + privacy fallout.", "position": 13, "objective": "Trigger: data explosion -> first reaction (data as platform) -> next (security/privacy fear) -> impact (legal/societal tension)", "confidence": 72, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 205, "type": "setup", "title": "Slide from KPCB Internet Trends 2016 report.", "function": "compare_options", "rawType": "comparison_table", "block": null, "metadata": { "slideType": "comparison_table", "slideTypeCanon": { "name": "Comparison table", "slug": "comparison_table", "status": "active", "canonId": "019de52d-0a06-73f8-8813-fe022fab1de2", "version": 1, "description": null }, "function": "compare_options", "functionCanon": { "name": "Compare options", "slug": "compare_options", "status": "active", "canonId": "019de52d-167f-7038-aebc-70a9d2e0e33b", "version": 1, "description": null }, "density": "dense", "densityScore": 63, "componentCount": 8, "textChars": 608, "nDataPoints": 0, "notes": "Slide from KPCB Internet Trends 2016 report.", "elementsJson": [ "headline_text", "screenshot", "paragraph" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:55.888+00", "seconds": 2.646, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/205", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-205", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "Cloud monitoring platform for both System Administrators & Developers that automatically integrates 100+ sources in real-time to represent hundreds of thousands of cloud instances", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:33+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f31-cd5f40f288d4", "parentComponentId": null }, { "bbox": { "h": 0.45, "w": 0.45, "x": 0.05, "y": 0.35 }, "kind": "image", "text": "Legacy monitoring software screenshot", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Screenshot", "slug": "screenshot", "status": "active", "canonId": "019de52c-fd87-7509-8391-3d79fb339379", "version": 1, "description": null }, "framework": null }, "subkind": "screenshot", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:55.888+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "b0274c85-e941-4492-947e-adef7d0595c0", "parentComponentId": null }, { "bbox": { "h": 0.45, "w": 0.4, "x": 0.55, "y": 0.35 }, "kind": "image", "text": "Datadog dashboard screenshot", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Screenshot", "slug": "screenshot", "status": "active", "canonId": "019de52c-fd87-7509-8391-3d79fb339379", "version": 1, "description": null }, "framework": null }, "subkind": "screenshot", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:55.888+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "d8de6d8a-1419-494d-96bc-d145fda1f521", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.4, "x": 0.55, "y": 0.15 }, "kind": "list", "text": "NOW: Datadog", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Comparison list", "slug": "comparison", "status": "active", "canonId": "019de52c-fce7-733e-99d3-030a104727bf", "version": 1, "description": null }, "framework": null }, "subkind": "comparison", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:55.888+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "4b754241-96d4-4887-870d-22782e04ea77", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.4, "x": 0.05, "y": 0.15 }, "kind": "list", "text": "THEN: Expensive & Clunky Point Solutions, Lengthy Implementation Cycles, Only Used by System Administrators", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Comparison list", "slug": "comparison", "status": "active", "canonId": "019de52c-fce7-733e-99d3-030a104727bf", "version": 1, "description": null }, "framework": null }, "subkind": "comparison", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:55.888+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "5e24b5d5-eb13-4299-87c4-017a5f99c458", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.9, "x": 0.05, "y": 0.85 }, "kind": "paragraph", "text": "Cloud monitoring platform for both System Administrators & Developers that automatically integrates 100+ sources in real-time to represent hundreds of thousands of cloud instances", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:55.888+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "dcfa697b-73cd-427a-9ed2-d7f723cf28d9", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.1, "x": 0.1, "y": 0.95 }, "kind": "source-note", "text": "Source: IBM; Datadog.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:55.888+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "90b7745d-6395-4c00-bdda-b0cccea03f8d", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.6, "x": 0.02, "y": 0.02 }, "kind": "title", "text": "Cloud Data Monitoring as a Platform = Datadog", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:55.888+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "6bdb8276-353d-4f96-aa9a-010d154ed81d", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Contrast Pairs", "slug": "contrast-pairs", "status": "active", "bestFor": null, "canonId": "019dd956-9b77-70d3-88b1-f34e26f60860", "version": 1, "bodyDocId": null, "description": "Creating tension through opposites: Before↔After, Problem↔Solution, Pain↔Relief", "familyLabel": null, "categoryName": "Loop", "categorySlug": "loop" }, "agent": "Storyteller", "layer": "loop", "agents": [ "Storyteller" ], "matchId": "019de7d7-fba7-7227-8007-3a44cea7fcdf", "evidence": "Legacy table-heavy UI vs Datadog dashboard.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 205, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [ { "matchId": "7d455a5e-c1e1-4639-9db3-c6108a9704b2", "evidence": "The slide explicitly contrasts 'THEN' and 'NOW' states to highlight the value proposition of the new solution.", "framework": null, "confidence": 1, "extraction": { "at": "2026-05-02 17:38:55.888+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 205, "frameworkName": "before-after-framing" } ], "arcBeats": [ { "to": 213, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 194, "name": "Impact & Next Steps", "beatId": "019de7d7-dffb-769f-86ea-88c176a7885d", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Data-as-platform examples and privacy-debate implications close out.", "position": 5, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 213, "from": 195, "loop": { "name": "13_domino_effect", "slug": "13-domino-effect", "status": "active", "bestFor": "Strategy roadmaps, showing ROI of a specific feature, causal analysis", "canonId": "019dd956-6b0a-74a4-9ebb-77e5dc8152aa", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Trigger Action -> First Reaction -> Second Reaction -> Final Impact", "description": "Demonstrate how a single small strategic move triggers a cascade of positive outcomes", "familyLabel": null }, "matchId": "019de7d7-e2f0-72bd-8d16-aa957dd60a44", "evidence": "p196 50% data CAGR trigger, pp 202-206 platform reactions, p207 'security concerns explode', pp 209-213 breach + privacy fallout.", "position": 13, "objective": "Trigger: data explosion -> first reaction (data as platform) -> next (security/privacy fear) -> impact (legal/societal tension)", "confidence": 72, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 206, "type": "setup", "title": "Uses a 'Then vs Now' framing to illustrate the shift from perimeter-based security to data-centric platform security.", "function": "compare_options", "rawType": "comparison_table", "block": null, "metadata": { "slideType": "comparison_table", "slideTypeCanon": { "name": "Comparison table", "slug": "comparison_table", "status": "active", "canonId": "019de52d-0a06-73f8-8813-fe022fab1de2", "version": 1, "description": null }, "function": "compare_options", "functionCanon": { "name": "Compare options", "slug": "compare_options", "status": "active", "canonId": "019de52d-167f-7038-aebc-70a9d2e0e33b", "version": 1, "description": null }, "density": "dense", "densityScore": 69, "componentCount": 10, "textChars": 543, "nDataPoints": 0, "notes": "Uses a 'Then vs Now' framing to illustrate the shift from perimeter-based security to data-centric platform security.", "elementsJson": [ "headline_text", "photo", "screenshot", "paragraph" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:56.332+00", "seconds": 3.07, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/206", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-206", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "Distributed data protection & management platform that has processed tens of billions of API requests to enable customers to secure & control their data", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:34+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f32-4e26e18958c2", "parentComponentId": null }, { "bbox": { "h": 0.45, "w": 0.4, "x": 0.05, "y": 0.3 }, "kind": "image", "text": "Network infrastructure diagram with firewall", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Illustration", "slug": "illustration", "status": "active", "canonId": "019de52c-fe76-7772-a5ac-c0b7294d7615", "version": 1, "description": null }, "framework": null }, "subkind": "illustration", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:56.332+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "857b686a-e472-4121-8e84-8e464a22132e", "parentComponentId": null }, { "bbox": { "h": 0.45, "w": 0.4, "x": 0.55, "y": 0.3 }, "kind": "image", "text": "Ionic Security dashboard interface", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Screenshot", "slug": "screenshot", "status": "active", "canonId": "019de52c-fd87-7509-8391-3d79fb339379", "version": 1, "description": null }, "framework": null }, "subkind": "screenshot", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:56.332+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "71da2e84-2fd6-4b83-b3ec-e548cffe69bc", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.2, "x": 0.65, "y": 0.19 }, "kind": "paragraph", "text": "Ionic Security", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:56.332+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "700d721c-0679-48df-8593-04094ea6698d", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.3, "x": 0.1, "y": 0.19 }, "kind": "paragraph", "text": "Securing Infrastructure to Keep Data Safe", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:56.332+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "dbf20198-54ed-48e6-8ba3-7834419a71fa", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.8, "x": 0.1, "y": 0.85 }, "kind": "paragraph", "text": "Distributed data protection & management platform that has processed tens of billions of API requests to enable customers to secure & control their data", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:56.332+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "fcc55dba-4a49-4af4-a1d4-a61c6f3d88cf", "parentComponentId": null }, { "bbox": { "h": 0.02, "w": 0.2, "x": 0.1, "y": 0.95 }, "kind": "source-note", "text": "Source: www.teach-ict.com; Ionic Security.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:56.332+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "f6563eeb-fe4b-48a7-8a8b-d42d21e017f4", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.65, "x": 0.02, "y": 0.02 }, "kind": "title", "text": "Data Security & Management as a Platform = Ionic Security", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:56.332+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "1e7616b5-bd32-4525-a18e-a5700ca8697c", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.1, "x": 0.2, "y": 0.14 }, "kind": "title", "text": "THEN", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:56.332+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "2c7dbed7-0898-4cf4-bdff-d8bebfab22de", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.1, "x": 0.7, "y": 0.14 }, "kind": "title", "text": "NOW", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:56.332+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "bdccf08f-0736-4877-a011-1c19f2508d1e", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Contrast Pairs", "slug": "contrast-pairs", "status": "active", "bestFor": null, "canonId": "019dd956-9b77-70d3-88b1-f34e26f60860", "version": 1, "bodyDocId": null, "description": "Creating tension through opposites: Before↔After, Problem↔Solution, Pain↔Relief", "familyLabel": null, "categoryName": "Loop", "categorySlug": "loop" }, "agent": "Storyteller", "layer": "loop", "agents": [ "Storyteller" ], "matchId": "019de7d7-fbc8-7027-83cf-b1e5917b00ba", "evidence": "Perimeter firewall vs SaaS dashboard.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 206, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [ { "matchId": "9f6bf374-c6b6-4e3d-8a19-641727bbcc04", "evidence": "The slide explicitly contrasts 'THEN' and 'NOW' to show the evolution of security.", "framework": null, "confidence": 1, "extraction": { "at": "2026-05-02 17:38:56.332+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 206, "frameworkName": "before-after-framing" } ], "arcBeats": [ { "to": 213, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 194, "name": "Impact & Next Steps", "beatId": "019de7d7-dffb-769f-86ea-88c176a7885d", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Data-as-platform examples and privacy-debate implications close out.", "position": 5, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 213, "from": 195, "loop": { "name": "13_domino_effect", "slug": "13-domino-effect", "status": "active", "bestFor": "Strategy roadmaps, showing ROI of a specific feature, causal analysis", "canonId": "019dd956-6b0a-74a4-9ebb-77e5dc8152aa", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Trigger Action -> First Reaction -> Second Reaction -> Final Impact", "description": "Demonstrate how a single small strategic move triggers a cascade of positive outcomes", "familyLabel": null }, "matchId": "019de7d7-e2f0-72bd-8d16-aa957dd60a44", "evidence": "p196 50% data CAGR trigger, pp 202-206 platform reactions, p207 'security concerns explode', pp 209-213 breach + privacy fallout.", "position": 13, "objective": "Trigger: data explosion -> first reaction (data as platform) -> next (security/privacy fear) -> impact (legal/societal tension)", "confidence": 72, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 207, "type": "setup", "function": "transition", "rawType": "transition", "block": null, "metadata": { "slideType": "transition", "slideTypeCanon": { "name": "Transition", "slug": "transition", "status": "active", "canonId": "019de52d-0693-7766-9f05-887f41f8e41e", "version": 1, "description": null }, "function": "transition", "functionCanon": { "name": "Transition", "slug": "transition", "status": "active", "canonId": "019de52d-1365-7149-92aa-66df859e75fd", "version": 1, "description": null }, "density": "sparse", "densityScore": 2, "componentCount": 1, "textChars": 50, "nDataPoints": 0, "notes": null, "elementsJson": [ "headline_text" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:54.958+00", "seconds": 1.663, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/207", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-207", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.2, "w": 0.7, "x": 0.15, "y": 0.4 }, "kind": "title", "text": "As Data Explodes... Data Security Concerns Explode", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:54.958+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "0ad0143c-60e2-452e-97fa-d4f18dd47079", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Storytelling: audience calibration", "slug": "audience", "status": "active", "bestFor": null, "canonId": "019df269-23ea-723a-87c0-af1d78d702d2", "version": 1, "bodyDocId": "019df269-23c5-72ec-8b94-78fc1da7b656", "description": "The same thesis, written for four different audiences, produces four", "familyLabel": "narrative-block", "categoryName": "Narrative & Transformation", "categorySlug": "narrative-transformation" }, "agent": "storyteller", "layer": "slide", "agents": [ "storyteller" ], "matchId": "94e2a143-e2c8-432b-afba-05ac57106217", "evidence": "As Data Explodes... Data Security Concerns Explode", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:00:31.35943+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 207, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 213, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 194, "name": "Impact & Next Steps", "beatId": "019de7d7-dffb-769f-86ea-88c176a7885d", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Data-as-platform examples and privacy-debate implications close out.", "position": 5, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 213, "from": 195, "loop": { "name": "13_domino_effect", "slug": "13-domino-effect", "status": "active", "bestFor": "Strategy roadmaps, showing ROI of a specific feature, causal analysis", "canonId": "019dd956-6b0a-74a4-9ebb-77e5dc8152aa", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Trigger Action -> First Reaction -> Second Reaction -> Final Impact", "description": "Demonstrate how a single small strategic move triggers a cascade of positive outcomes", "familyLabel": null }, "matchId": "019de7d7-e2f0-72bd-8d16-aa957dd60a44", "evidence": "p196 50% data CAGR trigger, pp 202-206 platform reactions, p207 'security concerns explode', pp 209-213 breach + privacy fallout.", "position": 13, "objective": "Trigger: data explosion -> first reaction (data as platform) -> next (security/privacy fear) -> impact (legal/societal tension)", "confidence": 72, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 208, "type": "setup", "title": "Part of KPCB Internet Trends 2016 deck.", "function": "establish_context", "rawType": "timeline", "block": null, "metadata": { "slideType": "timeline", "slideTypeCanon": { "name": "Timeline", "slug": "timeline", "status": "active", "canonId": "019de52d-0851-75eb-b758-ea2965e7739a", "version": 1, "description": null }, "function": "establish_context", "functionCanon": { "name": "Establish context", "slug": "establish_context", "status": "active", "canonId": "019de52d-1314-74e6-9074-d213dc0bdcdf", "version": 1, "description": null }, "density": "dense", "densityScore": 72, "componentCount": 8, "textChars": 1038, "nDataPoints": 0, "notes": "Part of KPCB Internet Trends 2016 deck.", "elementsJson": [ "headline_text", "bullet_list" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:56.606+00", "seconds": 3.007, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/208", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-208", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.15, "w": 0.4, "x": 0.05, "y": 0.18 }, "kind": "list", "text": "Edward Snowden (Jun-13): Former CIA contractor leaked classified information to media about internet & phone surveillance by USA intelligence.", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Timeline item", "slug": "timeline-item", "status": "active", "canonId": "019de52c-fd0e-74ce-9443-440fbd8c23b4", "version": 1, "description": null }, "framework": null }, "subkind": "timeline-item", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:56.606+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "633b8f5d-38c8-470e-98bd-3b89e283963a", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.4, "x": 0.05, "y": 0.62 }, "kind": "list", "text": "WhatsApp's Default End-to-End Encryption (Apr-16): WhatsApp implements end-to-end encryption as default setting to protect communications of their 1B monthly active users worldwide.", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Timeline item", "slug": "timeline-item", "status": "active", "canonId": "019de52c-fd0e-74ce-9443-440fbd8c23b4", "version": 1, "description": null }, "framework": null }, "subkind": "timeline-item", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:56.606+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "6a6bb3e5-dddd-4d9d-bd2e-af51f9acc5c9", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.4, "x": 0.52, "y": 0.18 }, "kind": "list", "text": "Burr-Feinstein Anti-Encryption Bill (Apr-16): Proposed law that would require technology companies & phone manufacturers to decrypt customer data at a court's request.", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Timeline item", "slug": "timeline-item", "status": "active", "canonId": "019de52c-fd0e-74ce-9443-440fbd8c23b4", "version": 1, "description": null }, "framework": null }, "subkind": "timeline-item", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:56.606+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "82da5e4f-cd01-4469-8e6d-e9c87766d10d", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.4, "x": 0.52, "y": 0.38 }, "kind": "list", "text": "Microsoft Lawsuit (Apr 16): Files lawsuit for right to be able to tell customers when law enforcement officials request their emails & other data.", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Timeline item", "slug": "timeline-item", "status": "active", "canonId": "019de52c-fd0e-74ce-9443-440fbd8c23b4", "version": 1, "description": null }, "framework": null }, "subkind": "timeline-item", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:56.606+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "99ea9430-3681-41e7-a4c8-3033b673042d", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.4, "x": 0.52, "y": 0.62 }, "kind": "list", "text": "Apple Hires Data Security Expert (May-16): Jon Callas, who co-founded several well-respected secure communications companies, rejoins Apple.", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Timeline item", "slug": "timeline-item", "status": "active", "canonId": "019de52c-fd0e-74ce-9443-440fbd8c23b4", "version": 1, "description": null }, "framework": null }, "subkind": "timeline-item", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:56.606+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "c4969bde-78f8-42bc-94bc-e592d35e318d", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.4, "x": 0.05, "y": 0.38 }, "kind": "list", "text": "Apple vs. FBI (Feb-16): FBI claimed it needed Apple to provide access to an iPhone owned by a man who committed a mass shooting in San Bernardino, CA.", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Timeline item", "slug": "timeline-item", "status": "active", "canonId": "019de52c-fd0e-74ce-9443-440fbd8c23b4", "version": 1, "description": null }, "framework": null }, "subkind": "timeline-item", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:56.606+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "e04ff9e0-8065-470a-abdc-91c390aa7300", "parentComponentId": null }, { "bbox": { "h": 0.02, "w": 0.2, "x": 0.1, "y": 0.95 }, "kind": "source-note", "text": "Source: NY Times, CNBC, Reuters, Time, Washington Post, WhatsApp.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:56.606+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "62bb7ecf-ea2b-46f2-8744-af42505d65f7", "parentComponentId": null }, { "bbox": { "h": 0.06, "w": 0.7, "x": 0.05, "y": 0.04 }, "kind": "title", "text": "Data Privacy Debate – Major Events, 2013 – 2016", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:56.606+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "e78a4269-3662-4797-9704-cbe080c279b3", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [ { "matchId": "ee0b535d-630a-45ca-8906-ba28d82775aa", "evidence": "Chronological list of events", "framework": null, "confidence": 1, "extraction": { "at": "2026-05-02 17:38:56.606+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 208, "frameworkName": "timeline" } ], "arcBeats": [ { "to": 213, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 194, "name": "Impact & Next Steps", "beatId": "019de7d7-dffb-769f-86ea-88c176a7885d", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Data-as-platform examples and privacy-debate implications close out.", "position": 5, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 213, "from": 195, "loop": { "name": "13_domino_effect", "slug": "13-domino-effect", "status": "active", "bestFor": "Strategy roadmaps, showing ROI of a specific feature, causal analysis", "canonId": "019dd956-6b0a-74a4-9ebb-77e5dc8152aa", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Trigger Action -> First Reaction -> Second Reaction -> Final Impact", "description": "Demonstrate how a single small strategic move triggers a cascade of positive outcomes", "familyLabel": null }, "matchId": "019de7d7-e2f0-72bd-8d16-aa957dd60a44", "evidence": "p196 50% data CAGR trigger, pp 202-206 platform reactions, p207 'security concerns explode', pp 209-213 breach + privacy fallout.", "position": 13, "objective": "Trigger: data explosion -> first reaction (data as platform) -> next (security/privacy fear) -> impact (legal/societal tension)", "confidence": 72, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 209, "type": "analysis", "title": "The 2014 bar includes a hatched section representing 1.2B records breached by a Russian CyberGang called CyberVor.", "function": "quantify_impact", "rawType": "industry_trends", "block": null, "metadata": { "slideType": "industry_trends", "slideTypeCanon": { "name": "Industry trends", "slug": "industry_trends", "status": "active", "canonId": "019de52d-0b1d-7705-a0e0-c663199cd1fa", "version": 1, "description": null }, "function": "quantify_impact", "functionCanon": { "name": "Quantify impact", "slug": "quantify_impact", "status": "active", "canonId": "019de52d-1630-720d-b57d-fa7f76bebd8d", "version": 1, "description": null }, "density": "dense", "densityScore": 57, "componentCount": 7, "textChars": 483, "nDataPoints": 3, "notes": "The 2014 bar includes a hatched section representing 1.2B records breached by a Russian CyberGang called CyberVor.", "elementsJson": [ "headline_text", "bar_chart_vertical", "callout_box", "footnote" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:56.102+00", "seconds": 2.422, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/209", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-209", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "Includes 1.2B unique records breached by a Russian CyberGang called CyberVor.", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:33+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f31-9a6d67e514fa", "parentComponentId": null }, { "bbox": { "h": 0.7, "w": 0.8, "x": 0.1, "y": 0.2 }, "kind": "chart", "text": null, "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Vertical bar chart", "slug": "bar-vertical", "status": "active", "canonId": "019de52c-fe9d-70f2-b3b7-a9ae294f5917", "version": 1, "description": null }, "framework": null }, "subkind": "bar-vertical", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:56.102+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "b920ca2a-0654-49aa-87b9-7c8559c8a08c", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.4, "x": 0.1, "y": 0.94 }, "kind": "disclaimer", "text": "Source: Breach Level Index; IBM; Govtech. Note: *Includes 1.2B unique records breached by a Russian CyberGang called CyberVor.", "attrs": null, "canon": { "kind": { "name": "Disclaimer", "slug": "disclaimer", "status": "active", "canonId": "91173477-d91f-4024-bbaf-d4f93e3f82dc", "version": 1, "description": "Legal/cautionary text that occupies most of the body of its slide." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:56.102+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "878c96e7-af5a-40a9-a4fe-b653301928a4", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.15, "x": 0.59, "y": 0.44 }, "kind": "legend", "text": "Includes 1.2B unique records breached by a Russian CyberGang called CyberVor.", "attrs": null, "canon": { "kind": { "name": "Legend", "slug": "legend", "status": "active", "canonId": "31361933-3d22-4c70-bbad-0801e9fffc0c", "version": 1, "description": "Color/symbol decoder placed adjacent to a chart or diagram." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:56.102+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "e66a50e7-b14e-49f4-845d-e630be7fb6b6", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Number of breached records: 4 Billion", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:33+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f31-9c2e9c6c43c5", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.7, "x": 0.05, "y": 0.05 }, "kind": "title", "text": "Cybercrime = Widespread Borderless Threat... ~4 Billion Data Records Breached Globally Since 2013", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:56.102+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "d66a9f03-0068-4f74-bb71-f105e15aca5c", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.8, "x": 0.1, "y": 0.16 }, "kind": "title", "text": "Records Breached, Billions of Individual Records, Global, 2013 – 2015", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Subtitle", "slug": "subtitle", "status": "active", "canonId": "019de52c-fb09-739d-900c-815b0d9ac526", "version": 1, "description": null }, "framework": null }, "subkind": "subtitle", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:56.102+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "1cb8c733-2076-4813-8c43-5a96af54e258", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-fc26-74d9-b9e9-fd50901e2ca8", "evidence": "~4B records breached since 2013.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 82, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 209, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." }, { "tool": { "name": "Annotation", "slug": "annotation", "status": "active", "bestFor": null, "canonId": "019dd956-b5b9-7668-bf0e-3af99823ec5c", "version": 1, "bodyDocId": null, "description": "Adding explanatory labels to highlight key data points", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "019de7d7-fc46-708e-8a3a-2962c9fd7213", "evidence": "Hatched 2014 bar marks CyberVor contribution.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 72, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 209, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Chartjunk Elimination", "slug": "chartjunk-elimination", "status": "active", "bestFor": null, "canonId": "019dd956-b49e-7453-ab01-b60f338eeda1", "version": 1, "bodyDocId": null, "description": "Remove decorative elements that don't convey data: 3D effects, shadows, unnecessary gridlines", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "1060d8de-c03d-42a5-bef6-e7d42946fd48", "evidence": "Includes 1.2B unique records breached by a Russian CyberGang called CyberVor.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:00:31.466038+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 209, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Data-Ink Ratio", "slug": "data-ink-ratio", "status": "active", "bestFor": null, "canonId": "019dd956-afc8-70da-b378-92834d36fde6", "version": 1, "bodyDocId": null, "description": "Maximize data, minimize non-data ink - remove chartjunk and decoration", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "df289942-5525-43ca-84ee-9331a8a9ea59", "evidence": "metric/primary: Number of breached records: 4 Billion", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:00:31.504562+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 209, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 213, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 194, "name": "Impact & Next Steps", "beatId": "019de7d7-dffb-769f-86ea-88c176a7885d", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Data-as-platform examples and privacy-debate implications close out.", "position": 5, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 213, "from": 195, "loop": { "name": "13_domino_effect", "slug": "13-domino-effect", "status": "active", "bestFor": "Strategy roadmaps, showing ROI of a specific feature, causal analysis", "canonId": "019dd956-6b0a-74a4-9ebb-77e5dc8152aa", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Trigger Action -> First Reaction -> Second Reaction -> Final Impact", "description": "Demonstrate how a single small strategic move triggers a cascade of positive outcomes", "familyLabel": null }, "matchId": "019de7d7-e2f0-72bd-8d16-aa957dd60a44", "evidence": "p196 50% data CAGR trigger, pp 202-206 platform reactions, p207 'security concerns explode', pp 209-213 breach + privacy fallout.", "position": 13, "objective": "Trigger: data explosion -> first reaction (data as platform) -> next (security/privacy fear) -> impact (legal/societal tension)", "confidence": 72, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 210, "type": "analysis", "title": "Data sourced from Gigya and TRUSTe/National Cyber Security Alliance.", "function": "analyze_data", "rawType": "industry_trends", "block": null, "metadata": { "slideType": "industry_trends", "slideTypeCanon": { "name": "Industry trends", "slug": "industry_trends", "status": "active", "canonId": "019de52d-0b1d-7705-a0e0-c663199cd1fa", "version": 1, "description": null }, "function": "analyze_data", "functionCanon": { "name": "Analyze data", "slug": "analyze_data", "status": "active", "canonId": "019de52d-1590-7413-8c82-cc218cff40b4", "version": 1, "description": null }, "density": "dense", "densityScore": 70, "componentCount": 8, "textChars": 629, "nDataPoints": 5, "notes": "Data sourced from Gigya and TRUSTe/National Cyber Security Alliance.", "elementsJson": [ "headline_text", "pie_chart", "big_number" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:56.638+00", "seconds": 2.835, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/210", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-210", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "74% Have limited their online activity in the last year due to privacy concerns", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:33+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f31-82d9372abb66", "parentComponentId": null }, { "bbox": { "h": 0.35, "w": 0.25, "x": 0.18, "y": 0.345 }, "kind": "chart", "text": "Pie chart showing 50% Very Concerned, 46% Somewhat Concerned, 4% Not Concerned", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Pie chart", "slug": "pie", "status": "active", "canonId": "019de52c-ffdb-71bb-a800-5c5ab9f1c373", "version": 1, "description": null }, "framework": null }, "subkind": "pie", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:56.638+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "e53e64fe-5232-4c60-aade-47780bb8e1a1", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.3, "x": 0.58, "y": 0.4 }, "kind": "metric", "text": "45% Are more worried about their Online privacy than one year ago", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": null, "subkind": { "name": "Big number", "slug": "big-number", "status": "active", "canonId": "019de52c-fc70-70c8-b965-0584548a9204", "version": 1, "description": null }, "framework": null }, "subkind": "big-number", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:56.638+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "f794c2c1-1ef0-431a-9174-78d6a154d76b", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.3, "x": 0.58, "y": 0.6 }, "kind": "metric", "text": "74% Have limited their online activity in the last year due to privacy concerns", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": null, "subkind": { "name": "Big number", "slug": "big-number", "status": "active", "canonId": "019de52c-fc70-70c8-b965-0584548a9204", "version": 1, "description": null }, "framework": null }, "subkind": "big-number", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:56.638+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "fe9d9dba-f2d0-4396-968e-ed3e940188e9", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Consumer concern level: 74%", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:33+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f31-84764c04dc4d", "parentComponentId": null }, { "bbox": { "h": 0.04, "w": 0.9, "x": 0.05, "y": 0.23 }, "kind": "paragraph", "text": "How Concerned are You About Data Privacy & How Companies Use Customer Data?", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:56.638+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "808dc37a-3c74-4f32-8d1b-7cb190117a31", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.6, "x": 0.1, "y": 0.94 }, "kind": "source-note", "text": "Source: Gigya \"The 2015 State of Consumer Privacy & Personalization\" report, US respondents, n = 2,000; TRUSTe / National Cyber Security Alliance Consumer Privacy Survey – US, 2016.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:56.638+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "a820040c-da07-4f14-8913-e2cc36610e63", "parentComponentId": null }, { "bbox": { "h": 0.06, "w": 0.75, "x": 0.05, "y": 0.03 }, "kind": "title", "text": "Consumer Data Privacy Concerns Rising Rapidly", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:56.638+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "06235a63-4392-4ca8-bf57-e7f77392186e", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "019de7d7-fc66-74dc-8c71-35eb6a5f9d04", "evidence": "74% have limited online activity due to privacy.", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 78, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 210, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." }, { "tool": { "name": "Emotional Appeal", "slug": "emotional-appeal", "status": "active", "bestFor": null, "canonId": "019dd956-bde9-7668-8be7-0097678fec59", "version": 1, "bodyDocId": null, "description": "Connecting to audience feelings rather than just logic", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "019de7d7-fc8b-7359-8b95-c585484ae685", "evidence": "Privacy anxiety framing creates urgency.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 60, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 210, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 213, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 194, "name": "Impact & Next Steps", "beatId": "019de7d7-dffb-769f-86ea-88c176a7885d", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Data-as-platform examples and privacy-debate implications close out.", "position": 5, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 213, "from": 195, "loop": { "name": "13_domino_effect", "slug": "13-domino-effect", "status": "active", "bestFor": "Strategy roadmaps, showing ROI of a specific feature, causal analysis", "canonId": "019dd956-6b0a-74a4-9ebb-77e5dc8152aa", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Trigger Action -> First Reaction -> Second Reaction -> Final Impact", "description": "Demonstrate how a single small strategic move triggers a cascade of positive outcomes", "familyLabel": null }, "matchId": "019de7d7-e2f0-72bd-8d16-aa957dd60a44", "evidence": "p196 50% data CAGR trigger, pp 202-206 platform reactions, p207 'security concerns explode', pp 209-213 breach + privacy fallout.", "position": 13, "objective": "Trigger: data explosion -> first reaction (data as platform) -> next (security/privacy fear) -> impact (legal/societal tension)", "confidence": 72, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 211, "type": "analysis", "title": "Data from Altimeter Group, 2015. n=2,062.", "function": "analyze_data", "rawType": "industry_trends", "block": null, "metadata": { "slideType": "industry_trends", "slideTypeCanon": { "name": "Industry trends", "slug": "industry_trends", "status": "active", "canonId": "019de52d-0b1d-7705-a0e0-c663199cd1fa", "version": 1, "description": null }, "function": "analyze_data", "functionCanon": { "name": "Analyze data", "slug": "analyze_data", "status": "active", "canonId": "019de52d-1590-7413-8c82-cc218cff40b4", "version": 1, "description": null }, "density": "balanced", "densityScore": 43, "componentCount": 5, "textChars": 490, "nDataPoints": 11, "notes": "Data from Altimeter Group, 2015. n=2,062.", "elementsJson": [ "bar_chart_horizontal" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:56.089+00", "seconds": 2.236, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/211", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-211", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.55, "w": 0.7, "x": 0.15, "y": 0.35 }, "kind": "chart", "text": null, "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Horizontal bar chart", "slug": "bar-horizontal", "status": "active", "canonId": "019de52c-fec4-7221-986b-1cb5f5e84b1f", "version": 1, "description": null }, "framework": null }, "subkind": "bar-horizontal", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:56.089+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "56dc6b2e-7b8f-45b6-a71a-92801a68fd25", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Privacy concern level: 78%", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:34+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f32-12cdeef07e66", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.6, "x": 0.2, "y": 0.18 }, "kind": "paragraph", "text": "Rate Level of Privacy Concerns Across Each of the Following Ways Companies Interact with Personal Data, n = 2,062 (These percentages reflect all respondents who rated their privacy concerns on a 1-5 scale, with 5 = Extremely Concerned, 4 = Very Concerned, etc.)", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:56.089+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "09150654-d844-485a-8873-9948dcdb78a3", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.4, "x": 0.1, "y": 0.94 }, "kind": "source-note", "text": "Source: Altimeter Group, \"Consumer Perceptions in the Internet of Things\", 2015. n = 2,062 respondents.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:56.089+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "8a486959-daca-47e3-8e9f-c7c8bf80322f", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.96, "x": 0.02, "y": 0.02 }, "kind": "title", "text": "Consumers' Top Privacy Concerns = Data Selling / Storage / Access / Being Identified Individually...", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:56.089+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "97734c9d-d883-4aea-8962-a1c4df1ef25c", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 213, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 194, "name": "Impact & Next Steps", "beatId": "019de7d7-dffb-769f-86ea-88c176a7885d", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Data-as-platform examples and privacy-debate implications close out.", "position": 5, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 213, "from": 195, "loop": { "name": "13_domino_effect", "slug": "13-domino-effect", "status": "active", "bestFor": "Strategy roadmaps, showing ROI of a specific feature, causal analysis", "canonId": "019dd956-6b0a-74a4-9ebb-77e5dc8152aa", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Trigger Action -> First Reaction -> Second Reaction -> Final Impact", "description": "Demonstrate how a single small strategic move triggers a cascade of positive outcomes", "familyLabel": null }, "matchId": "019de7d7-e2f0-72bd-8d16-aa957dd60a44", "evidence": "p196 50% data CAGR trigger, pp 202-206 platform reactions, p207 'security concerns explode', pp 209-213 breach + privacy fallout.", "position": 13, "objective": "Trigger: data explosion -> first reaction (data as platform) -> next (security/privacy fear) -> impact (legal/societal tension)", "confidence": 72, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 212, "type": "setup", "title": "The slide uses a side-by-side comparison to challenge the assumption that privacy is the primary driver of consumer behavior.", "function": "compare_options", "rawType": "comparison_table", "block": null, "metadata": { "slideType": "comparison_table", "slideTypeCanon": { "name": "Comparison table", "slug": "comparison_table", "status": "active", "canonId": "019de52d-0a06-73f8-8813-fe022fab1de2", "version": 1, "description": null }, "function": "compare_options", "functionCanon": { "name": "Compare options", "slug": "compare_options", "status": "active", "canonId": "019de52d-167f-7038-aebc-70a9d2e0e33b", "version": 1, "description": null }, "density": "balanced", "densityScore": 44, "componentCount": 6, "textChars": 399, "nDataPoints": 1, "notes": "The slide uses a side-by-side comparison to challenge the assumption that privacy is the primary driver of consumer behavior.", "elementsJson": [ "headline_text", "paragraph", "screenshot" ], "confidence": 0.95, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:57.113+00", "seconds": 3.111, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/212", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-212", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.5, "w": 0.4, "x": 0.05, "y": 0.35 }, "kind": "image", "text": "Amazon Echo with surrounding app icons", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Illustration", "slug": "illustration", "status": "active", "canonId": "019de52c-fe76-7772-a5ac-c0b7294d7615", "version": 1, "description": null }, "framework": null }, "subkind": "illustration", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:57.113+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "fd34de1f-fc93-4fac-97bd-c1954de3cdb1", "parentComponentId": null }, { "bbox": { "h": 0.5, "w": 0.4, "x": 0.55, "y": 0.35 }, "kind": "image", "text": "Google Gboard interface showing search and results", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Screenshot", "slug": "screenshot", "status": "active", "canonId": "019de52c-fd87-7509-8391-3d79fb339379", "version": 1, "description": null }, "framework": null }, "subkind": "screenshot", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:57.113+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "812123d3-a697-489c-b113-3dc18d3bdb50", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.4, "x": 0.05, "y": 0.175 }, "kind": "paragraph", "text": "Amazon Echo: The Echo's Alexa Voice Service listens to all speech in default mode", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:57.113+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "39c14d87-8a06-4677-840a-49e9f6c9f146", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.4, "x": 0.55, "y": 0.175 }, "kind": "paragraph", "text": "Google Gboard: Integrated keyboard for iOS devices that had an estimated 500K+ downloads within the first week of launch", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:57.113+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "56c3dd13-d2a3-4688-85df-a26bfa5e7e39", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.2, "x": 0.05, "y": 0.95 }, "kind": "source-note", "text": "Source: Amazon, Google, App Annie.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:57.113+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "f97c8a9c-bd55-4820-b66b-c7baed48b2dd", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.9, "x": 0.05, "y": 0.05 }, "kind": "title", "text": "...Do People Care About Privacy... Or Do They Care About Who Has Their Data?", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:57.113+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "0d747ed4-2146-4fec-b980-cf3d0730b87a", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Comparison frame", "slug": "comparison-frame", "status": "active", "bestFor": null, "canonId": "019dd9e1-484b-7399-a4fc-d14644b99f93", "version": 1, "bodyDocId": null, "description": "Two or more states/subjects placed side by side to expose a gap.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "4e9c4b0c-75df-427b-8d79-cf8a7ae59f2c", "evidence": "...Do People Care About Privacy... Or Do They Care About Who Has Their Data?", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:00:31.648753+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 212, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null } ], "frameworks": [ { "matchId": "be51c727-1560-48b8-8976-f0e3ebafa8fd", "evidence": "Side-by-side comparison of two products to illustrate a behavioral paradox.", "framework": null, "confidence": 0.8, "extraction": { "at": "2026-05-02 17:38:57.113+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 212, "frameworkName": "comparison-frame" } ], "arcBeats": [ { "to": 213, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 194, "name": "Impact & Next Steps", "beatId": "019de7d7-dffb-769f-86ea-88c176a7885d", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Data-as-platform examples and privacy-debate implications close out.", "position": 5, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 213, "from": 195, "loop": { "name": "13_domino_effect", "slug": "13-domino-effect", "status": "active", "bestFor": "Strategy roadmaps, showing ROI of a specific feature, causal analysis", "canonId": "019dd956-6b0a-74a4-9ebb-77e5dc8152aa", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Trigger Action -> First Reaction -> Second Reaction -> Final Impact", "description": "Demonstrate how a single small strategic move triggers a cascade of positive outcomes", "familyLabel": null }, "matchId": "019de7d7-e2f0-72bd-8d16-aa957dd60a44", "evidence": "p196 50% data CAGR trigger, pp 202-206 platform reactions, p207 'security concerns explode', pp 209-213 breach + privacy fallout.", "position": 13, "objective": "Trigger: data explosion -> first reaction (data as platform) -> next (security/privacy fear) -> impact (legal/societal tension)", "confidence": 72, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 213, "type": "setup", "function": "summarize", "rawType": "quote_slide", "block": null, "metadata": { "slideType": "quote_slide", "slideTypeCanon": { "name": "Quote slide", "slug": "quote_slide", "status": "active", "canonId": "019de52d-098e-7555-a9fd-4f0af7e80bc2", "version": 1, "description": null }, "function": "summarize", "functionCanon": { "name": "Summarize", "slug": "summarize", "status": "active", "canonId": "019de52d-1541-704f-b86f-bf7b75056373", "version": 1, "description": null }, "density": "balanced", "densityScore": 26, "componentCount": 3, "textChars": 509, "nDataPoints": 0, "notes": null, "elementsJson": [ "quote_block" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:38:56.49+00", "seconds": 2.07, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/213", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-213", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "x": 0.19, "y": 0.69 }, "kind": "paragraph", "text": "ADAM GHETTI, FOUNDER & CEO OF IONIC SECURITY, 2016", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:56.49+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "df7d23d2-8a2c-42cd-a794-e65f31be654c", "parentComponentId": null }, { "bbox": { "x": 0.19, "y": 0.25 }, "kind": "quote", "text": "In the tangible world, physical limitations prevent the broad abuse of the law... Should the same laws automatically apply to the digital world where a few lines of code can unlock someone's entire life?", "attrs": null, "canon": { "kind": { "name": "Quote", "slug": "quote", "status": "active", "canonId": "019de52c-f8fb-751e-8bc6-d58e2d59562a", "version": 1, "description": "Pull quote or testimonial." }, "tool": null, "subkind": { "name": "Pull quote", "slug": "pull-quote", "status": "active", "canonId": "019de52c-fbf9-76fe-97e1-a0b7540445c9", "version": 1, "description": null }, "framework": null }, "subkind": "pull-quote", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:38:56.49+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "c5f26cec-e035-47e4-92b2-9d0d663d321c", "parentComponentId": null }, { "bbox": null, "kind": "quote", "text": "In the tangible world, physical limitations prevent the broad abuse of the law... Should the same laws automatically apply to the digital world where a few lines of code can unlock someone's entire life? — Adam Ghetti, Founder & CEO of Ionic Security, 2016", "attrs": null, "canon": { "kind": { "name": "Quote", "slug": "quote", "status": "active", "canonId": "019de52c-f8fb-751e-8bc6-d58e2d59562a", "version": 1, "description": "Pull quote or testimonial." }, "tool": { "name": "Authority citation", "slug": "authority-citation", "status": "active", "bestFor": null, "canonId": "019dd9e1-49ae-7557-89ad-3fca70469b45", "version": 1, "bodyDocId": null, "description": "Quoting an authority figure, study, or precedent to lend weight.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-25 12:17:34+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-5641-722a-9f31-e4b7c6f31d60", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Curiosity Gap", "slug": "curiosity-gap", "status": "active", "bestFor": null, "canonId": "019dd956-9703-74ef-8b85-96dfd8525025", "version": 1, "bodyDocId": null, "description": "People seek missing information - create open questions that demand resolution", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Storyteller", "layer": "block", "agents": [ "Storyteller" ], "matchId": "019de7d7-fcca-70aa-a76f-7a03ee8e806b", "evidence": "Closing rhetorical question leaves audience pondering.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 60, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 213, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Authority Bias", "slug": "authority-bias", "status": "active", "bestFor": null, "canonId": "019dd956-c38d-70b9-a284-b2b479763356", "version": 1, "bodyDocId": null, "description": "Expert opinions are weighted more heavily - cite credible sources", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Architect", "Storyteller" ], "matchId": "019de7d7-fcaa-75d6-8651-b4ea528c819f", "evidence": "Adam Ghetti quote frames legal philosophy question.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 213, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 213, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null }, "from": 194, "name": "Impact & Next Steps", "beatId": "019de7d7-dffb-769f-86ea-88c176a7885d", "matchId": "019de7d7-df1c-71aa-9d3c-9c7896395188", "beatType": null, "evidence": "Data-as-platform examples and privacy-debate implications close out.", "position": 5, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 72 }, { "to": 213, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null }, "from": 42, "name": "The Action (Now What)", "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0", "matchId": "019de7d7-e01b-7579-b5ee-7aef00ad1c97", "beatType": null, "evidence": "Innovation playbooks across ads, video, voice, transport, data.", "position": 3, "isPrimaryArc": false, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 60 } ], "loops": [ { "to": 213, "from": 195, "loop": { "name": "13_domino_effect", "slug": "13-domino-effect", "status": "active", "bestFor": "Strategy roadmaps, showing ROI of a specific feature, causal analysis", "canonId": "019dd956-6b0a-74a4-9ebb-77e5dc8152aa", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Trigger Action -> First Reaction -> Second Reaction -> Final Impact", "description": "Demonstrate how a single small strategic move triggers a cascade of positive outcomes", "familyLabel": null }, "matchId": "019de7d7-e2f0-72bd-8d16-aa957dd60a44", "evidence": "p196 50% data CAGR trigger, pp 202-206 platform reactions, p207 'security concerns explode', pp 209-213 breach + privacy fallout.", "position": 13, "objective": "Trigger: data explosion -> first reaction (data as platform) -> next (security/privacy fear) -> impact (legal/societal tension)", "confidence": 72, "extraction": { "at": "2026-05-02 08:39:37.322012+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 214, "type": "setup", "function": "other", "rawType": "appendix_disclosure", "block": null, "metadata": { "slideType": "appendix_disclosure", "slideTypeCanon": { "name": "Appendix disclosure", "slug": "appendix_disclosure", "status": "active", "canonId": "019de52d-07b2-7549-8e8b-932a19f6e616", "version": 1, "description": null }, "function": "other", "functionCanon": { "name": "Other (fallback)", "slug": "other", "status": "active", "canonId": "019de52d-15e1-75bc-99dc-07732380e2ce", "version": 1, "description": null }, "density": "balanced", "densityScore": 31, "componentCount": 2, "textChars": 813, "nDataPoints": 0, "notes": null, "elementsJson": [ "paragraph" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:39:00.406+00", "seconds": 5.83, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/214", "deck": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032", "deckAnchor": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-214", "deckJson": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json" }, "components": [ { "bbox": { "h": 0.65, "w": 0.92, "x": 0.04, "y": 0.19 }, "kind": "disclaimer", "text": "This presentation has been compiled for informational purposes only and should not be construed as a solicitation or an offer to buy or sell securities in any entity. The presentation relies on data and insights from a wide range of sources, including public and private companies, market research firms and government agencies. We cite specific sources where data are public; the presentation is also informed by non-public information and insights. We publish the Internet Trends report on an annual basis, but on occasion will highlight new insights. We will post any updates, revisions, or clarifications on the KPCB website. KPCB is a venture capital firm that owns significant equity positions in certain of the companies referenced in this presentation, including those at www.kpcb.com/companies.", "attrs": null, "canon": { "kind": { "name": "Disclaimer", "slug": "disclaimer", "status": "active", "canonId": "91173477-d91f-4024-bbaf-d4f93e3f82dc", "version": 1, "description": "Legal/cautionary text that occupies most of the body of its slide." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:39:00.406+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "a2ed937b-5001-4326-8f4e-e7b7b8886e76", "parentComponentId": null }, { "bbox": { "h": 0.06, "w": 0.15, "x": 0.02, "y": 0.03 }, "kind": "title", "text": "Disclosure", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:39:00.406+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "0762bca7-f185-4e54-b863-e54d451795fd", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [], "loops": [], "locked": true } ], "arcBeats": [ { "from": 5, "to": 37, "label": "Situation & Context", "description": "Global internet + macro trends establish baseline state." }, { "from": 38, "to": 41, "label": "Problem & Complication", "description": "'Easy Growth Behind Us' / '5 Epic Growth Drivers Losing Mojo'." }, { "from": 42, "to": 160, "label": "Solution & Approach", "description": "Ads, commerce, video, image, messaging, voice, transport as innovation answers." }, { "from": 161, "to": 193, "label": "Evidence & Proof", "description": "China leadership data + public/private company financials." }, { "from": 194, "to": 213, "label": "Impact & Next Steps", "description": "Data-as-platform examples and privacy-debate implications close out." } ], "loops": [ { "from": 6, "to": 16, "label": "So What Cascade", "description": "Cascade global-internet user data into the insight that growth is saturating except in emerging markets" }, { "from": 18, "to": 33, "label": "Pattern Hunter", "description": "Stack multiple macro signals (GDP, commodities, growth-engine shift, debt, rates) pointing to the same conclusion: macro slowdown" }, { "from": 34, "to": 41, "label": "Cost Of Inaction", "description": "Show demographic + macro decay accumulating to 'easy growth behind us', flipping into urgency for innovation" }, { "from": 43, "to": 49, "label": "Aha Moment", "description": "Move from raw ad-spend data to insight that mobile + Google/Facebook drive growth while ad efficacy lags" }, { "from": 50, "to": 71, "label": "Tale Two Worlds", "description": "Contrast prior-generation retail world vs. millennial / digital-native world to motivate commerce reinvention" }, { "from": 73, "to": 89, "label": "Before After", "description": "Map the before/after of video consumption from linear TV to live/social/UGC" }, { "from": 91, "to": 97, "label": "Aha Moment", "description": "From rising image-share data to insight that image platforms drive commerce" }, { "from": 99, "to": 111, "label": "Before After", "description": "Show messaging evolving from simple chat (before) to expressive, business-grade super-apps (after)" }, { "from": 113, "to": 134, "label": "Why Now", "description": "Argue voice as a new computing paradigm - context, accuracy trigger, opportunity window" }, { "from": 135, "to": 160, "label": "Before After", "description": "Cars: from mechanical-to-computer evolution (before) to autonomous + shared-mobility future (after)" }, { "from": 162, "to": 182, "label": "Tale Two Worlds", "description": "Benchmark China internet metrics against USA to argue China leads on many fronts" }, { "from": 184, "to": 193, "label": "Pattern Hunter", "description": "Stack public + private internet leader evidence to argue current generation growing faster than ever" }, { "from": 195, "to": 213, "label": "Domino Effect", "description": "Trigger: data explosion -> first reaction (data as platform) -> next (security/privacy fear) -> impact (legal/societal tension)" } ] }