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"objective": "Frame China vs USA on supply chain, AI research, semiconductors", "confidence": 72, "extraction": { "at": "2026-04-29 13:07:29.779839+00", "model": "claude-legacy", "runId": null, "seconds": null, "promptVersion": null } }, { "to": 112, "from": 96, "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": "019dd95a-08f8-7619-ac2e-241136340fc4", "evidence": "China, India, Indonesia, Latam, Europe each shown as billion-user / unicorn-dense markets — pattern across geographies.", "position": 10, "objective": "Stack regional data to prove 'end of the American internet'", "confidence": 80, "extraction": { "at": "2026-04-29 13:07:29.779839+00", "model": "claude-legacy", "runId": null, "seconds": null, "promptVersion": null } }, { "to": 126, "from": 114, "loop": { "name": "09_precedent", "slug": "09-precedent", "status": "active", "bestFor": "Risk mitigation, strategy validation, building confidence in new approaches", "canonId": "019dd956-695f-7615-8f82-39d919918314", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Precedent Case -> What Happened -> The Parallel -> Applied Learning", "description": "Use historical or external examples to validate your approach", "familyLabel": null, "categoryName": "Validation", "categorySlug": "validation" }, "matchId": "019dd95a-08f8-7619-ac2e-2b5504a8d774", "evidence": "p.120 'every wave of tech…gets regulated' + p.121-123 'we don't actually regulate cars' as the analog.", "position": 11, "objective": "Use prior industries (cars, etc.) as precedent for tech regulation", "confidence": 78, "extraction": { "at": "2026-04-29 13:07:29.779839+00", "model": "claude-legacy", "runId": null, "seconds": null, "promptVersion": null } }, { "to": 133, "from": 128, "loop": { "name": "09_precedent", "slug": "09-precedent", "status": "active", "bestFor": "Risk mitigation, strategy validation, building confidence in new approaches", "canonId": "019dd956-695f-7615-8f82-39d919918314", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Precedent Case -> What Happened -> The Parallel -> Applied Learning", "description": "Use historical or external examples to validate your approach", "familyLabel": null, "categoryName": "Validation", "categorySlug": "validation" }, "matchId": "019dd95a-08f8-7619-ac2e-2e2047c36f9b", "evidence": "First 707 still flying, cars look the same — same outer form, vastly better — applied to tech outlook.", "position": 12, "objective": "Use 707/auto 50-year history as precedent for next 50 years of tech", "confidence": 78, "extraction": { "at": "2026-04-29 13:07:29.779839+00", "model": "claude-legacy", "runId": null, "seconds": null, "promptVersion": null } } ], "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": "019dd95a-1b83-7130-9336-b595db4d4c41", "evidence": "Three circles: Maximalists / Moderates / Questions.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 88, "extraction": { "at": "2026-04-29 13:07:34.53104+00", "model": "claude-legacy", "runId": null, "seconds": null, "promptVersion": null }, 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"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": "019dd95a-1b83-7130-9337-297a7ed2e491", "evidence": "Title is the open question 'how do you reach customers? why?'", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-04-29 13:07:34.53104+00", "model": "claude-legacy", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 41, "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": "019dd95a-1b83-7130-9337-351aea1315ea", "evidence": "Headline poses an unresolved question to drive engagement.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 75, "extraction": { "at": "2026-04-29 13:07:34.53104+00", "model": "claude-legacy", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 44, "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 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[ "Architect", "Storyteller" ], "matchId": "019dd95a-1b83-7130-9337-81d9af68d569", "evidence": "Huge $50tn anchor reframes scale.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 65, "extraction": { "at": "2026-04-29 13:07:34.53104+00", "model": "claude-legacy", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 63, "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": "019dd95a-1b83-7130-9338-15388c44c098", "evidence": "Slide breaks 'cars' regulation into many issue-specific buckets.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 60, "extraction": { "at": "2026-04-29 13:07:34.53104+00", "model": "claude-legacy", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 121, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "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": "019dd95a-1b83-7130-9338-1f4c9918950d", "evidence": "Grid decomposes 'regulate cars' into distinct, parallel issues.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 65, "extraction": { "at": "2026-04-29 13:07:34.53104+00", "model": "claude-legacy", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 122, "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": "019dd95a-1b83-7130-9338-1bce41d40836", "evidence": "Top row: three regulation categories (Safety, Emissions, Supplier contracts).", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 75, "extraction": { "at": "2026-04-29 13:07:34.53104+00", "model": "claude-legacy", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 122, "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": "019dd95a-1b83-7130-9336-94173dfb0491", "evidence": "Opens the COVID-acceleration evidence stack (Pattern Hunter).", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 75, "extraction": { "at": "2026-04-29 13:07:34.53104+00", "model": "claude-legacy", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 5, "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": "019dd95a-1b83-7130-9336-f635e090dbbe", "evidence": "Opens contrast frame: 'parcels' vs 'custom delivered' vs 'can't be delivered'.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-04-29 13:07:34.53104+00", "model": "claude-legacy", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 21, "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": "019dd95a-1b83-7130-9337-45b9c7b3fd7b", "evidence": "Old way (celebrity endorsement) vs new way (founder a company).", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 78, "extraction": { "at": "2026-04-29 13:07:34.53104+00", "model": "claude-legacy", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 51, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Chiasmus", "slug": "chiasmus", "status": "active", "bestFor": null, "canonId": "019dd956-9f90-77d2-92d7-9a9780d23677", "version": 1, "bodyDocId": null, "description": "Reversing structure in successive phrases for emphasis (A-B then B-A)", "familyLabel": null, "categoryName": "Loop", "categorySlug": "loop" }, "agent": "Storyteller", "layer": "loop", "agents": [ "Storyteller" ], "matchId": "019dd95a-1b83-7130-9337-4e8a7016ef1d", "evidence": "'TV is dead, long live TV' reverses structure for emphasis.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 78, "extraction": { "at": "2026-04-29 13:07:34.53104+00", "model": "claude-legacy", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 53, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Chiasmus", "slug": "chiasmus", "status": "active", "bestFor": null, "canonId": "019dd956-9f90-77d2-92d7-9a9780d23677", "version": 1, "bodyDocId": null, "description": "Reversing structure in successive phrases for emphasis (A-B then B-A)", "familyLabel": null, "categoryName": "Loop", "categorySlug": "loop" }, "agent": "Storyteller", "layer": "loop", "agents": [ "Storyteller" ], "matchId": "019dd95a-1b83-7130-9337-6875a09fcec4", "evidence": "Quote 'bundle, or unbundle' uses inverted parallel structure.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 80, "extraction": { "at": "2026-04-29 13:07:34.53104+00", "model": "claude-legacy", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 60, "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": "019dd95a-1b83-7130-9337-6e6496b77826", "evidence": "Quote pivots the deck toward the unifying thesis.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-04-29 13:07:34.53104+00", "model": "claude-legacy", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 60, "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": "019dd95a-1b83-7130-9337-7665109a41e2", "evidence": "Arrows: value chains break -> brands are B2B -> everyone wants direct + data.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 80, "extraction": { "at": "2026-04-29 13:07:34.53104+00", "model": "claude-legacy", "runId": null, "seconds": 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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": "019dd95a-1b83-7130-9337-bd775aee3f79", "evidence": "'Americans worried about Japan once' explicit historical analogy.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 80, "extraction": { "at": "2026-04-29 13:07:34.53104+00", "model": "claude-legacy", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 86, "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": "019dd95a-1b83-7130-9338-4a0e4f10f6b2", "evidence": "Title 'first 50 years, second 50 years' explicit before/after.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 75, "extraction": { "at": "2026-04-29 13:07:34.53104+00", "model": "claude-legacy", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 133, "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. 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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": "019dd95a-1b83-7130-9336-ab690eed7c1c", "evidence": "Distills the COVID acceleration into 'forced experiment, forced adoption'.", "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": 78, "extraction": { "at": "2026-04-29 13:07:34.53104+00", "model": "claude-legacy", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 8, "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). 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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. 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(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": "b45135a4-661d-46bc-b983-92bb2dd399ad", "evidence": "chart/bar-grouped: UK adults making personal video calls at least weekly", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 21:59:01.779894+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 9, "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": "019dd95a-1b83-7130-9336-b056a8975df8", "evidence": "Clean chart with single accent.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 75, "extraction": { "at": "2026-04-29 13:07:34.53104+00", "model": "claude-legacy", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 9, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Law of Similarity", "slug": "law-of-similarity", "status": "active", "bestFor": null, "canonId": "019dd956-c025-70d9-a411-8efa41ae179b", "version": 1, "bodyDocId": null, "description": "Similar-looking elements perceived as related - consistent styling for related concepts", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "019dd95a-1b83-7130-9336-b9eafe59056b", "evidence": "Three identical circles signal grouped/parallel categories.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 75, "extraction": { "at": "2026-04-29 13:07:34.53104+00", "model": "claude-legacy", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 10, "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. 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(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": "4d494ac0-04f5-4667-b89c-0e043084b638", "evidence": "chart/line: Employment in New York City (000s)", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 21:59:01.902039+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 11, "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. 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(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": "e25789e6-4600-41f3-9c05-4b9ac41297ea", "evidence": "chart/bar-stacked: Business travel volume, 2018", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 21:59:01.98298+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 12, "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": "019dd95a-1b83-7130-9336-c6c4c9b4299d", "evidence": "'Cambrian explosion' analogy applied to remote tools.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 75, "extraction": { "at": "2026-04-29 13:07:34.53104+00", "model": "claude-legacy", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 13, "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": "e96fdb45-abdf-40d6-9b2e-6ca83694015e", "evidence": "Market Valuation: $110bn", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 21:58:51.145122+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 13, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Concrete Language", "slug": "concrete-language", "status": "active", "bestFor": null, "canonId": "019dd956-bcd4-7398-9723-6aa72346170b", "version": 1, "bodyDocId": null, "description": "Using specific sensory details instead of abstract terms", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "019dd95a-1b83-7130-9336-c81d4e727f28", "evidence": "Specific '8bn vaccinations announced supply'.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 75, "extraction": { "at": "2026-04-29 13:07:34.53104+00", "model": "claude-legacy", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 14, "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": "5357b8c3-2ce4-4844-8d5b-df35907b7b66", "evidence": "chart/waterfall: Announced 2021 vaccination supply (bn)", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.9, "extraction": { "at": "2026-07-16 21:58:51.299739+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 14, "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. 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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": 80, "extraction": { "at": "2026-04-29 13:07:34.53104+00", "model": "claude-legacy", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 15, "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). 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The narrative-driven counterpart to Minto's analytical governing thought.", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "076fdd50-3c0b-490c-8f39-7033142859af", "evidence": "And then there's Indonesia", "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": 0.6, "extraction": { "at": "2026-07-16 21:58:57.282352+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 109, "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": "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": "dc1ca55e-d03c-4c0e-9a54-27075402fdf1", "evidence": "More markets, more people, more creation", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 21:58:57.243864+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 109, "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": "234675ea-d054-412f-8b38-b42d8d671950", "evidence": "650m people, 90%+ smartphone penetration, 5% ecommerce penetration", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.5, "extraction": { "at": "2026-07-16 21:58:57.355687+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": "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": "1274a63a-b62b-4bec-9f04-74d9d6208e52", "evidence": "European Unicorns (cumulative)", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.5, "extraction": { "at": "2026-07-16 21:58:57.430673+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": "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. 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(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": "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": "019dd95a-1b83-7130-9337-fbcb209f55c4", "evidence": "Gibson allusion 'the future is here, unevenly distributed'.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 78, "extraction": { "at": "2026-04-29 13:07:34.53104+00", "model": "claude-legacy", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 112, "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": "59046e6c-1d30-4aae-9f96-d6615bfa0859", "evidence": "Tech becomes a regulated industry", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.9, "extraction": { "at": "2026-07-17 03:21:03.274949+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": "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": "4feb3429-9fab-483b-99fd-4ac8acbb6408", "evidence": "Global computer users (bn)", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 0.6, "extraction": { "at": "2026-07-16 21:58:57.62874+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 114, "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. 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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": 80, "extraction": { "at": "2026-04-29 13:07:34.53104+00", "model": "claude-legacy", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 116, "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": "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": "69d12744-23a3-4e5c-85bb-e325dc377f9c", "evidence": "Software ate the world, so all the world's problems get expressed in software", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.9, "extraction": { "at": "2026-07-16 21:58:57.709608+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 116, "whyItWorks": null, "antipattern": null, "cardinality": "optional", "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": "5e952321-56bc-44de-b852-1a27964485c0", "evidence": "Every month there's something else to worry about", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 21:58:57.788112+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 117, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Concrete Language", "slug": "concrete-language", "status": "active", "bestFor": null, "canonId": "019dd956-bcd4-7398-9723-6aa72346170b", "version": 1, "bodyDocId": null, "description": "Using specific sensory details instead of abstract terms", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "019dd95a-1b83-7130-9338-00c796dfa537", "evidence": "$2.25tn aggregate valuation stat.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 72, "extraction": { "at": "2026-04-29 13:07:34.53104+00", "model": "claude-legacy", "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. 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(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": "019dd95a-1b83-7130-9338-0ecc6b7935a8", "evidence": "Angel/seed in red as accent series.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 75, "extraction": { "at": "2026-04-29 13:07:34.53104+00", "model": "claude-legacy", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 119, "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": "019dd95a-1b83-7130-9338-083bd0449bbb", "evidence": "Two-line chart, no chartjunk.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 80, "extraction": { "at": "2026-04-29 13:07:34.53104+00", "model": "claude-legacy", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 119, "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. 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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": 78, "extraction": { "at": "2026-04-29 13:07:34.53104+00", "model": "claude-legacy", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 120, "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). 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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": "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": "a43e67bc-0f13-49b4-9682-2d117069105f", "evidence": "Safety, Emissions, Supplier & dealer contracts, Drink driving, Speed limits, Parking & congestion, Urban planning, Public transit, And so much more...", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.6, "extraction": { "at": "2026-07-17 03:21:03.425316+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 121, "whyItWorks": null, "antipattern": null, "cardinality": "common", "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": "c7b5d674-0d71-4e4e-90ad-49a12b090835", "evidence": "Regulate cars", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.5, "extraction": { "at": "2026-07-17 03:21:03.505047+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 122, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null }, { "tool": { "name": "Gestalt Principles", "slug": "gestalt-principles", "status": "active", "bestFor": null, "canonId": "019dd956-b266-7631-9b7e-44d83bd5d4f3", "version": 1, "bodyDocId": null, "description": "Proximity, Similarity, Enclosure, Continuity, Closure, Connection - how humans perceive visual groups", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer", "Architect" ], "matchId": "019dd95a-1b83-7130-9338-221ac9394984", "evidence": "Pink header row groups three categories; aligned grid groups examples.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-04-29 13:07:34.53104+00", "model": "claude-legacy", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 122, "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": "019dd95a-1b83-7130-9338-26ca6f9af2b8", "evidence": "'Car companies couldn't build cycle lanes' analogy.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 75, "extraction": { "at": "2026-04-29 13:07:34.53104+00", "model": "claude-legacy", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 123, "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. 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Who? Where? When? 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(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": "eac0124f-ac83-4040-b23d-d5c017894782", "evidence": "chart/line: Global air travel", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-17 03:20:48.105242+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 130, "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": "56d0e078-d3b8-4025-9483-ab43b99141e6", "evidence": "Airline fatality rate per mile was 200x higher in the 1970s", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.6, "extraction": { "at": "2026-07-17 03:20:48.145613+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": "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": "10c6d5cb-8a9f-4df4-a197-711bfc3c365d", "evidence": "chart/line: US car travel", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-17 03:20:48.263198+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 131, "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": "871d8bc9-cc0f-4d89-a9f7-8e991cdcfa51", "evidence": "Cars have looked much the same for 50 years, but they've become vastly safer, more efficient and less polluting", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.6, "extraction": { "at": "2026-07-17 03:20:48.224333+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 131, "whyItWorks": null, "antipattern": null, "cardinality": "common", "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": "019dd95a-1b83-7130-9338-4087bf18d93c", "evidence": "Cars-look-the-same metaphor extended from aviation.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 75, "extraction": { "at": "2026-04-29 13:07:34.53104+00", "model": "claude-legacy", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 131, "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": "019dd95a-1b83-7130-9338-464227dae9be", "evidence": "'Cars created more billionaires outside the car industry than in it' as kicker.", "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": 78, "extraction": { "at": "2026-04-29 13:07:34.53104+00", "model": "claude-legacy", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 132, "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": "Closing Techniques", "slug": "closing-techniques", "status": "active", "bestFor": null, "canonId": "019dd956-af13-774b-a4fd-7db0a3a88d51", "version": 1, "bodyDocId": null, "description": "Strong endings: Callback, challenge, vision, clear CTA, memorable line", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "019dd95a-1b83-7130-9338-4dda0deff0e0", "evidence": "Closing 'Thank you' slide marks the formal close.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 75, "extraction": { "at": "2026-04-29 13:07:34.53104+00", "model": "claude-legacy", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 134, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [ { "matchId": "261b3271-a98e-4c84-9799-b2d142e8438f", "evidence": "The chart visualizes the cumulative effect of sequential positive values.", "framework": null, "confidence": 1, "extraction": { "at": "2026-05-02 17:36:48.802+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 14, "frameworkName": "waterfall-chart" }, { "matchId": "078f79d1-d6ea-4c66-8caa-f9d0366c4db1", "evidence": "The slide argues that aggregate market data is misleading and should be segmented by category.", "framework": null, "confidence": 0.7, "extraction": { "at": "2026-05-02 17:36:47.341+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 20, "frameworkName": "market-segmentation-pyramid" }, { "matchId": "019dd95a-1d21-7467-a468-6f0c9f0aa7a5", "evidence": "Three stacked bars by delivery model: parcels / custom / undeliverable.", "framework": null, "confidence": 70, "extraction": { "at": "2026-04-29 13:07:34.940444+00", "model": "claude-legacy", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 21, "frameworkName": "Stacked Segmentation Bar" }, { "matchId": "38fbd5cc-4178-435b-9a14-dd9bcfda9800", "evidence": "Linear progression of events leading to a consequence", "framework": null, "confidence": 0.9, "extraction": { "at": "2026-05-02 17:36:50.664+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 48, "frameworkName": "causal-chain" }, { "matchId": "f51e9d98-9eba-410d-abbf-2c9c2e0d15cf", "evidence": "The slide uses a waterfall chart to show the reduction of ad spend.", "framework": null, "confidence": 1, "extraction": { "at": "2026-05-02 17:36:53.381+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 49, "frameworkName": "waterfall-chart" }, { "matchId": "71a7f8cf-e732-4d37-816e-31efb6242eea", "evidence": "The slide uses a three-step arrow-connected process to show the logic of unbundling.", "framework": null, "confidence": 0.9, "extraction": { "at": "2026-05-02 17:36:51.857+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 61, "frameworkName": "causal-chain" }, { "matchId": "019dd95a-1d21-7467-a468-7356cf7edc5a", "evidence": "Three labelled circles linked by arrows depicting unbundling sequence.", "framework": null, "confidence": 80, "extraction": { "at": "2026-04-29 13:07:34.940444+00", "model": "claude-legacy", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 61, "frameworkName": "Process Diagram (3-step)" }, { "matchId": "019dd95a-1d21-7467-a468-752f3ccaf64e", "evidence": "Two labelled era circles flank a central spending column.", "framework": null, "confidence": 65, "extraction": { "at": "2026-04-29 13:07:34.940444+00", "model": "claude-legacy", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 67, "frameworkName": "Eras Contrast Diagram" }, { "matchId": "019dd95a-1d21-7467-a468-7963af447f98", "evidence": "Three identical bar-chart panels for direct comparison.", "framework": null, "confidence": 88, "extraction": { "at": "2026-04-29 13:07:34.940444+00", "model": "claude-legacy", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 91, "frameworkName": "Small Multiples" }, { "matchId": "0ab21b9b-56db-4af8-9a9e-ecbb254c2219", "evidence": "Title explicitly mentions moving up the value chain.", "framework": null, "confidence": 0.9, "extraction": { "at": "2026-05-02 17:36:59.31+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 94, "frameworkName": "value-chain" }, { "matchId": "9c0fc1e2-1954-41fd-a676-5a87738f9f5f", "evidence": "The slide presents a logical sequence of events leading to an outcome.", "framework": null, "confidence": 0.8, "extraction": { "at": "2026-05-02 17:36:57.113+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 102, "frameworkName": "causal-chain" }, { "matchId": "95c24e53-e17e-456a-8232-d7b57d5f0cf8", "evidence": "Sequential progression of historical events", "framework": null, "confidence": 1, "extraction": { "at": "2026-05-02 17:36:59.453+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 112, "frameworkName": "timeline" }, { "matchId": "66f573ff-039e-45e6-a06c-94aa7b08fd1b", "evidence": "The slide maps a sequence of historical technological waves to a common outcome (regulation).", "framework": null, "confidence": 0.8, "extraction": { "at": "2026-05-02 17:36:59.98+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 120, "frameworkName": "historical-pattern-analysis" }, { "matchId": "a9ba2679-3e54-47f8-abfa-17a456bf9f45", "evidence": "Breaking down a monolithic concept into its constituent parts.", "framework": null, "confidence": 0.8, "extraction": { "at": "2026-05-02 17:37:02.792+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 121, "frameworkName": "decomposition" }, { "matchId": "cf14f8c8-e667-4a93-8c91-852b9c347b79", "evidence": "The slide breaks down a single concept ('Regulate cars') into multiple distinct categories.", "framework": null, "confidence": 0.9, "extraction": { "at": "2026-05-02 17:37:00.348+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 122, "frameworkName": "decomposition" }, { "matchId": "019dd95a-1d21-7467-a468-7e25cd6e03c1", "evidence": "Top header row with 3 regulation categories, rows of issue-specific examples.", "framework": null, "confidence": 70, "extraction": { "at": "2026-04-29 13:07:34.940444+00", "model": "claude-legacy", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 122, "frameworkName": "Issue Matrix (3 categories x 3 examples)" }, { "matchId": "ce3c1f52-3500-404c-a05a-9bf2e2e9714c", "evidence": "Sequential flow of stages representing technological adoption and impact.", "framework": null, "confidence": 0.8, "extraction": { "at": "2026-05-02 17:37:01.865+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 132, "frameworkName": "process" }, { "matchId": "e2a3d74e-5778-4a08-bc75-1ff5d96d0794", "evidence": "The slide depicts the sequential adoption of technology across different market segments using S-curves.", "framework": null, "confidence": 0.85, "extraction": { "at": "2026-05-02 17:37:02.012+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 133, "frameworkName": "diffusion-of-innovation" } ], "patterns": [] }, "storymakers": { "model": "claude-cli-sonnet-4.6", "backend": null, "rawJson": { "arc": { "id": 12, "slug": "onion", "beats": [ { "name": "Surface Observation", "end_page": 15, "evidence": "COVID 'shock' and forced-experiment data are the visible top layer.", "position": 1, "start_page": 3 }, { "name": "First Layer", "end_page": 41, "evidence": "Section 'The Great Unbundling' reframes ecommerce/retail value chains.", "position": 2, "start_page": 16 }, { "name": "Deeper Layer", "end_page": 82, "evidence": "Advertising, TV, then 'harder problems' (cars, energy, biology) extend the pattern.", "position": 3, "start_page": 42 }, { "name": "Core Insight", "end_page": 126, "evidence": "End of the American internet + tech becomes a regulated industry — the structural truth.", "position": 4, "start_page": 83 }, { "name": "Implications", "end_page": 134, "evidence": "Conclusion: 'next 50 years' parallels aviation/auto maturation.", "position": 5, "start_page": 127 } ], "evidence": "Surface COVID shock (p.4-15) peeled back into successive layers — retail unbundling (16-41), media/ads (42-63), industries beyond software (64-82), geopolitics & regulation (83-126), with a long-arc implication closing (127-134).", "confidence": 60 }, "loops": [ { "id": 2, "slug": "02-pattern-hunter", "end_page": 14, "evidence": "Sequence of stat slides (employment, ecommerce, grocery, video, WFH, travel, vaccines) all stamping the same pattern.", "position": 1, "objective": "Stack data points to prove COVID accelerated everything 5-10 years", "confidence": 80, "start_page": 4 }, { "id": 12, "slug": "12-myth-buster", "end_page": 30, "evidence": "p.19 'traditional view' -> p.20 'is that a useful split?' -> p.21+ 'much more useful: ecommerce as logistics' reframes the metric.", "position": 2, "objective": "Replace 'ecommerce as % of retail' with 'ecommerce as logistics'", "confidence": 78, "start_page": 19 }, { "id": 4, "slug": "04-tale-two-worlds", "end_page": 41, "evidence": "Amazon GMV share (31-32) juxtaposed with Shopify/Nike going direct (33-39), ending in 'how do you reach customers?'", "position": 3, "objective": "Contrast Amazon-marketplace bundling vs Shopify/Nike direct-to-consumer", "confidence": 70, "start_page": 31 }, { "id": 12, "slug": "12-myth-buster", "end_page": 51, "evidence": "p.44-45 'Does online advertising really exist?' -> cookie apocalypse -> 'if you even need advertising'.", "position": 4, "objective": "Challenge 'online advertising' as a single category and show the cookie collapse", "confidence": 72, "start_page": 43 }, { "id": 2, "slug": "02-pattern-hunter", "end_page": 59, "evidence": "Pay-TV decline, Netflix/Disney sub growth, content spend, geographic mix — all pointing to TV unbundling.", "position": 5, "objective": "Multiple datapoints prove TV is being unbundled by streamers", "confidence": 78, "start_page": 53 }, { "id": 5, "slug": "05-the-reveal", "end_page": 63, "evidence": "Quote slide on bundling/unbundling sets up the 3-circle process diagram on p.61 then '$50tn opportunity' payoff.", "position": 6, "objective": "Reveal the unifying thesis: everyone wants to go direct", "confidence": 75, "start_page": 60 }, { "id": 17, "slug": "17-pivot", "end_page": 70, "evidence": "p.66-67 explicitly contrast 'first 20 years' vs 'second 20 years'; Tesla market cap as proof of pivot.", "position": 7, "objective": "Pivot the narrative from 'information arbitrage' to 'changing entire industries'", "confidence": 72, "start_page": 66 }, { "id": 2, "slug": "02-pattern-hunter", "end_page": 82, "evidence": "Battery -89%, solar -82%, wind -40%, SpaceX 5x, ML rebirth, computational biology — same shape repeated.", "position": 8, "objective": "Show collapsing-cost / software-eats curves across cars, solar, wind, rockets, AI, biology", "confidence": 80, "start_page": 71 }, { "id": 4, "slug": "04-tale-two-worlds", "end_page": 95, "evidence": "Direct China-vs-USA comparisons on industrial output, papers, market vs value share, chip dependency.", "position": 9, "objective": "Frame China vs USA on supply chain, AI research, semiconductors", "confidence": 72, "start_page": 84 }, { "id": 2, "slug": "02-pattern-hunter", "end_page": 112, "evidence": "China, India, Indonesia, Latam, Europe each shown as billion-user / unicorn-dense markets — pattern across geographies.", "position": 10, "objective": "Stack regional data to prove 'end of the American internet'", "confidence": 80, "start_page": 96 }, { "id": 9, "slug": "09-precedent", "end_page": 126, "evidence": "p.120 'every wave of tech…gets regulated' + p.121-123 'we don't actually regulate cars' as the analog.", "position": 11, "objective": "Use prior industries (cars, etc.) as precedent for tech regulation", "confidence": 78, "start_page": 114 }, { "id": 9, "slug": "09-precedent", "end_page": 133, "evidence": "First 707 still flying, cars look the same — same outer form, vastly better — applied to tech outlook.", "position": 12, "objective": "Use 707/auto 50-year history as precedent for next 50 years of tech", "confidence": 78, "start_page": 128 } ], "slide_tools": [ { "tools": [ { "id": 153, "slug": "core-message-extraction", "layer": "Slide", "evidence": "Single phrase title 'The Great Unbundling' captures the deck's core thesis.", "confidence": 80 }, { "id": 141, "slug": "white-space-negative-space", "layer": "Slide", "evidence": "Cover is sparse with title alone — heavy negative space.", "confidence": 75 } ], "page_number": 1 }, { "tools": [ { "id": 123, "slug": "opening-hooks", "layer": "Slide", "evidence": "'Welcome to 2021' frames the year as the hook for the talk.", "confidence": 70 } ], "page_number": 2 }, { "tools": [ { "id": 118, "slug": "action-titles", "layer": "Slide", "evidence": "Title 'Shock' + callout '20m jobs lost' is the insight, not topic.", "confidence": 85 }, { "id": 154, "slug": "concrete-language", "layer": "Slide", "evidence": "Specific 'employment fell 20m, still down 9m' instead of vague 'big drop'.", "confidence": 80 }, { "id": 158, "slug": "von-restorff-effect", "layer": "Slide", "evidence": "Single big number stands out against sparse layout.", "confidence": 65 } ], "page_number": 4 }, { "tools": [ { "id": 118, "slug": "action-titles", "layer": "Slide", "evidence": "Title 'Ecommerce steps forward 5-10 years' states the so-what.", "confidence": 90 }, { "id": 125, "slug": "data-ink-ratio", "layer": "Slide", "evidence": "Tufte-clean line chart, no chartjunk, 2 lines + minimal gridlines.", "confidence": 85 }, { "id": 130, "slug": "color-strategy", "layer": "Slide", "evidence": "UK in red, USA in dark grey — colour distinguishes series with one accent.", "confidence": 80 }, { "id": 138, "slug": "annotation", "layer": "Slide", "evidence": "Subtitle 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Gambit, but is tightly built — reframing data via Pattern-Hunter and Myth-Buster loops, with strong action titles and Tufte-clean charts. The deck aligns most with the Onion arc (one thesis, the 'great unbundling', revealed across successive industry layers) rather than a hero/transformation arc.", "secondary_arcs": [ { "id": 13, "slug": "mountain", "beats": [ { "name": "Setup & Stakes", "end_page": 15, "evidence": "Welcome 2021 + COVID acceleration sets the stakes.", "position": 1, "start_page": 1 }, { "name": "Rising Action", "end_page": 82, "evidence": "Unbundling thesis layered across retail, ads, TV, harder problems.", "position": 2, "start_page": 16 }, { "name": "Climax", "end_page": 126, "evidence": "Geopolitical shift + tech-becomes-regulated is the high-tension turn.", "position": 3, "start_page": 83 }, { "name": "Resolution", "end_page": 134, "evidence": "Aviation/auto retrospective resolves the arc into a long view.", "position": 4, "start_page": 127 } ], "evidence": "Stakes set by COVID, rising action across unbundling themes, climax at China + regulation, resolution with the 50-year analog.", "confidence": 50 } ], "images_inspected": 7, "slide_frameworks": [ { "frameworks": [ { "name": "Stacked Segmentation Bar", "slug": "stacked-segmentation-bar", "evidence": "Three stacked bars by delivery model: parcels / custom / undeliverable.", "confidence": 70 } ], "page_number": 21 }, { "frameworks": [ { "name": "Process Diagram (3-step)", "slug": "process-diagram-3-step", "evidence": "Three labelled circles linked by arrows depicting unbundling sequence.", "confidence": 80 } ], "page_number": 61 }, { "frameworks": [ { "name": "Eras Contrast Diagram", "slug": "eras-contrast-diagram", "evidence": "Two labelled era circles flank a central spending column.", "confidence": 65 } ], "page_number": 67 }, { "frameworks": [ { "name": "Small Multiples", "slug": "small-multiples", "evidence": "Three identical bar-chart panels for direct comparison.", "confidence": 88 } ], "page_number": 91 }, { "frameworks": [ { "name": "Issue Matrix (3 categories x 3 examples)", "slug": "issue-matrix", "evidence": "Top header row with 3 regulation categories, rows of issue-specific examples.", "confidence": 70 } ], "page_number": 122 } ] }, "matchedAt": "2026-04-27 09:15:36+00", "slidesSeen": 134, "deckSummary": "An analyst's annual macro briefing rather than a consulting deliverable: it lacks the explicit problem->solution->ask of the Consultant's Gambit, but is tightly built — reframing data via Pattern-Hunter and Myth-Buster loops, with strong action titles and Tufte-clean charts. The deck aligns most with the Onion arc (one thesis, the 'great unbundling', revealed across successive industry layers) rather than a hero/transformation arc.", "imagesInspected": 7, "extractionSeconds": 490.72437 }, "score": { "backend": "codex", "scoredAt": "2026-05-02 11:22:50.942+00", "subScores": { "scqa_arc": 58, "action_titles": 68, "mece_structure": 62, "closing_strength": 42, "evidence_quality": 86, "clarity_of_thesis": 58, "production_quality": 78, "visual_storytelling": 82 }, "totalScore": 67, "coveragePct": 100, "explanations": { "scqa_arc": "The deck has a broad Situation-to-Complication movement from COVID acceleration to market restructuring, but it reads more like a thematic analytical essay than a tight SCQA with one explicit question and answer.", "action_titles": "The deck has many insight-bearing titles but also many labels and rhetorical questions; a strong example is slide 46, \"Amazon has built a $15bn+ 'search ad' business (retailers just call this marketing).\"", "mece_structure": "The agenda sections are clear, but COVID acceleration, unbundling, harder problems, China, and regulation overlap as themes and do not form a fully MECE issue tree.", "closing_strength": "Slides 127-133 provide a thoughtful synthesis about the next 50 years, but slide 134 closes with \"Thank you\" rather than a clear recommendation, call to action, or next steps.", "evidence_quality": "Evidence quality is high, with data-rich charts across much of the deck and concrete benchmarks such as slides 6, 27, 46, 85, 105, and 126, though some future-facing slides remain speculative.", "clarity_of_thesis": "Slide 1 names the theme and slide 2 previews the agenda, but the first five slides do not state a declarative central argument until the unbundling thesis becomes clearer around slide 18.", "production_quality": "The deck is visually consistent with strong whitespace, footnote discipline, and roughly 80% action-title coverage, but repeated topical titles and overcrowded slides such as 6, 91, and 119 hold it below top-tier.", "visual_storytelling": "Most claims are paired with the right visual tool, especially charts and callouts on slides 5-9, 46, 85, and 126, though some dense pages reduce immediate legibility." }, "slidesAnalyzed": 134 }, "review": { "backend": null, "verdict": "This is a high-quality independent analyst trend deck with a strong macro arc, but it is a solid rather than exemplary Storymakers model because the thesis, MECE pillars, and call to action stay too implicit.", "reviewedAt": "2026-05-01 22:09:06.168+00", "slidesSeen": 134, "suggestions": [ "Add a thesis slide after the agenda that states the whole answer: COVID accelerated adoption, unbundling rewires markets, tech moves into harder regulated domains, and value shifts to the second 50 years.", "Rewrite repeated or topical titles into declarative claims and move callout insights into titles where possible, e.g. replace Ecommerce as logistics with The real ecommerce market is constrained by delivery model.", "Make section dividers MECE and assertive by turning them into pillar claims, then add a one-slide synthesis at the end of each major act.", "Replace the final Thank you-only close with a recommendation or implications page for investors, operators, or policymakers, followed by contact details." ], "closingScore": 56, "openingScore": 68, "topStrengths": [ "The macro arc is clear: pandemic acceleration (slides 3-15) leads into unbundled retail/media (16-63), harder physical-world problems (64-82), China/global internet shifts (83-112), and regulation (113-126).", "Callouts often carry sharp insight where titles are terse, especially slide 6's ecommerce reset, slide 46's Amazon advertising business, and slide 126's regulation tax argument.", "The deck repeatedly turns abstract shifts into concrete proof points, especially ecommerce-as-logistics slides 20-30 and regulation-by-analogy slides 120-123." ], "topWeaknesses": [ "Many action titles are topic labels or prompts rather than claims, such as Shock (slide 4), And wind (slide 73), and What's the real opportunity? 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China appears as both a subtopic under harder problems and a standalone act (slides 82-83), while slides 16-63 bundle retail, advertising, TV, and direct-to-consumer into a broad topic cloud.", "closingCritique": "The last 5 slides land on historical analogy: aviation and cars got better, cheaper, and safer despite stable form factors (slides 129-131), then First 50 years, second 50 years frames the internet's next phase (slides 132-133). Slide 134 is only Thank you, so the close is memorable but lacks an explicit recommendation or next-step call to action.", "openingCritique": "The first 5 slides establish stakes with a 2021 agenda (slide 2), the employment shock (slide 4), and ecommerce acceleration (slide 5), so there is a real hook. 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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. 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"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 17:36:59.028+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "fde30027-4ab1-45f2-b263-7c5b6d4e27da", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.4, "x": 0.2, "y": 0.05 }, "kind": "title", "text": "Very different market structure", "attrs": null, "canon": { "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", 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