{ "schemaVersion": "deck-intelligence.v1", "id": "019dd923-5e87-7479-8208-2bfe3ad2f5e5", "slug": "c06b233841368987", "title": "Ipsos AI Monitor 2024 final APAC", "subtitle": "Ipsos", "author": "Ipsos", "pageCount": 43, "kind": "consulting-deck", "orientation": "landscape", "aspectRatio": 1.778, "document": { "id": "019dd923-5e87-7479-8208-2bfe3ad2f5e5", "slug": "c06b233841368987", "title": "Ipsos AI Monitor 2024 final APAC", "rawTitle": "Ipsos AI Monitor 2024 final APAC", "authorId": "IPSOS", "authorName": "Ipsos", "authorDisplay": "Ipsos", "kind": { "slug": "consulting-deck", "label": "Consulting deck" }, "sourceType": { "slug": "industry_analyst", "label": "Industry analyst" }, "fileName": "Ipsos-AI-Monitor-2024-final-APAC.pdf", "sourceUrl": null, "sourceDate": "2024-06-15 00:00:00", "presentationDate": null, "ingestedAt": "2026-04-24 14:50:22+00", "status": "ready", "pageCount": 43, "orientation": "landscape", "aspectRatio": 1.778, "targetCompany": null, "targetTicker": null, "metadata": { "local_root": "/tmp/legacy-images/c06b233841368987", "origin_corpus": "consulting" } }, "coverage": { "pageCount": 43, "pagesIndexed": 43, "pagesWithImages": 43, "pagesWithMetadata": 43, "imageCoveragePct": 100, "metadataCoveragePct": 100, "componentCount": 202, "chartCount": 30, "metricSlides": 0, "toolMatches": 116, "documentToolMatches": 0, "frameworkMatches": 1, "arcMatches": 1, "beatMatches": 3, "loopMatches": 4, "patternMatches": 0, "storymakersMatch": true, "scoreAvailable": true, "reviewAvailable": true, "activistThesisAvailable": false, "pitchdeckMetadataAvailable": false, "pitchdeckProfileAvailable": false }, "blocks": [], "matches": { "arcs": [ { "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": "019dea97-a09d-7447-afdb-1ecd12abe343", "evidence": "Headline finding p2 + executive summary p5-9 (Facts), three thematic deep-dives p10-40 (So What), methodology/contact p41-43 (Now What is weak).", "isPrimary": true, "confidence": 55, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "beats": [ { "to": 9, "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": 1, "name": "The Facts (What)", "beatId": "019dea97-a0c3-75f1-8cf7-881cfee1dcc4", "matchId": "019dea97-a09d-7447-afdb-1ecd12abe343", "beatType": null, "evidence": "Cover, contents, lead takeaway and at-a-glance summary stats.", "position": 1, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 55 }, { "to": 40, "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": 10, "name": "The Implications (So What)", "beatId": "019dea97-a0e9-7179-9519-a7ed034a31d3", "matchId": "019dea97-a09d-7447-afdb-1ecd12abe343", "beatType": null, "evidence": "Three thematic sections: Knowledge, Trust, Future impact across countries and generations.", "position": 2, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 55 }, { "to": 43, "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": 41, "name": "The Action (Now What)", "beatId": "019dea97-a110-74ee-aff4-6a8b48b8a1d1", "matchId": "019dea97-a09d-7447-afdb-1ecd12abe343", "beatType": null, "evidence": "Methodology and 'For more information' contact slide; no recommendation.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 55 } ], "loops": [ { "to": 9, "from": 2, "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": "019dea97-a135-70cd-99b0-6155a1ef2063", "evidence": "p2 headline 'Asia most excited', p5 'At a glance' stat panel, p6-9 progressively unpack key findings.", "position": 1, "objective": "Lead with headline finding then cascade summary insights", "confidence": 70, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } }, { "to": 18, "from": 11, "loop": { "name": "34_segmentation_split", "slug": "34-segmentation-split", "status": "active", "bestFor": "Customer analysis, market research, resource allocation", "canonId": "019dd956-7398-77a8-9a5f-2e4d39589f42", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Aggregate View -> Segment A Behavior -> Segment B Behavior -> The Insight in the Difference", "description": "Divide a whole into meaningful segments to reveal hidden patterns", "familyLabel": null, "categoryName": "Consulting Framework", "categorySlug": "consulting-framework" }, "matchId": "019dea97-a15b-7641-b401-8cf80a4eb2a4", "evidence": "p11/13/15/16/18 break agreement by 32 countries; p12/14 compare 4 generations 2023 vs 2024; p17 plots regional clusters.", "position": 2, "objective": "Show how AI knowledge and sentiment split by country and generation", "confidence": 75, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } }, { "to": 26, "from": 20, "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": "019dea97-a180-73f0-ae47-838ee8fdcbd1", "evidence": "p23/24 pair AI-trust and people-trust on bias, p25 plots the AI-minus-people delta, p26 compares across generations.", "position": 3, "objective": "Contrast trust in AI versus trust in people on discrimination and data", "confidence": 80, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } }, { "to": 40, "from": 28, "loop": { "name": "40_mece_breakdown", "slug": "40-mece-breakdown", "status": "active", "bestFor": "Problem structuring, ensuring completeness, strategic analysis", "canonId": "019dd956-763c-765e-8b68-6ee3ae1ef184", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Whole -> Category A (distinct) -> Category B (distinct) -> Category C (distinct) -> Complete Coverage", "description": "Divide a complex topic into mutually exclusive, collectively exhaustive categories", "familyLabel": null, "categoryName": "Consulting Framework", "categorySlug": "consulting-framework" }, "matchId": "019dea97-a1a6-7500-8bbd-d19a6e453ca3", "evidence": "Slides cover jobs (p30-31), job replacement (p32-33), disinformation (p35), economy (p37), entertainment (p38), time (p39), health (p40).", "position": 4, "objective": "Decompose AI's future impact into distinct life domains", "confidence": 65, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "tools": [ { "tool": { "name": "Governing Thought", "slug": "governing-thought", "status": "active", "bestFor": "When the deck makes a recommendation, decision, or argues a position; when defining the top of a pyramid before structuring supports; when an SCQA opening needs an Answer; when stripping topic-style titles in favour of action titles.", "canonId": "019dd956-8286-760e-8638-77558a0d71ba", "version": 1, "bodyDocId": "06f7d5a5-daab-44c1-9d67-63c52ba03962", "description": "The single declarative sentence at the apex of a Minto pyramid that summarises and is supported by everything beneath it — the answer the deck exists to defend.", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Architect", "layer": "block", "agents": [ "Architect" ], "matchId": "019dea97-a2f8-70db-8496-9ee88d1c588c", "evidence": "'Asia is the most excited region' acts as governing thought across the deck.", "pageRefs": null, "priority": null, "whenToUse": "When the deck makes a recommendation, decision, or argues a position; when defining the top of a pyramid before structuring supports; when an SCQA opening needs an Answer; when stripping topic-style titles in favour of action titles.", "confidence": 70, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 2, "whyItWorks": "Forces the writer to commit to a position before structuring the case — exposes muddled thinking that hides safely inside topic-style headings. Gives busy readers the answer in the first cognitive beat and enables progressive disclosure of the supporting case.", "antipattern": "Topic-style headings ('Strategic options for growth', 'Considerations for Europe') instead of declarative claims with verbs. Multi-sentence apex statements. Qualifier-laden hedges. Noun-phrase labels ('Recommendation: acquisition of Target B') pretending to be sentences. Fake governing thoughts — confident apex the supports don't actually force.", "cardinality": null, "narrativePurpose": "Anchor the document in one defensible claim with a working verb, so the audience knows the answer before they read the proof and the entire structure ladders up to it." }, { "tool": { "name": "Pyramid Principle", "slug": "pyramid-principle", "status": "active", "bestFor": "When the document has a single governing decision or recommendation the reader is asked to accept, and the case can be decomposed into a small number of clean groups. Strategy decks, board memos, investment committee papers.", "canonId": "019dd956-7cbd-7219-a477-c871e2bc1aff", "version": 1, "bodyDocId": "88b6ac56-b880-46f9-8621-ef3491ab6235", "description": "Lead with the answer; group three to five MECE supports beneath it; recurse one level down. Top-down hierarchical structure for any document with a single recommendation.", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Architect", "layer": "block", "agents": [ "Architect" ], "matchId": "019dea97-a2d4-770b-bb50-c73b5f3af37b", "evidence": "Document leads with answer (p2) then evidence — top-down structure.", "pageRefs": null, "priority": "Core", "whenToUse": "When the document has a single governing decision or recommendation the reader is asked to accept, and the case can be decomposed into a small number of clean groups. Strategy decks, board memos, investment committee papers.", "confidence": 75, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 2, "whyItWorks": "Solves the two failure modes of expert communication at once: (1) the long climb where readers wait pages for the answer, and (2) logical mush from non-MECE groupings. Progressive disclosure lets a reader stop at any depth and get the right information.", "antipattern": "Chronological structure (\"what we did, what we found, what we conclude\") instead of logical hierarchy. Top-of-pyramid that is a topic (\"strategic options\") instead of an answer (\"pursue Option B because...\"). Non-MECE supports that overlap or fail to cover the universe.", "cardinality": null, "narrativePurpose": "Transfer conviction with minimum reader effort by mirroring how decision-makers consume information: answer first, scaffolding behind." }, { "tool": { "name": "Cognitive Load", "slug": "cognitive-load", "status": "active", "bestFor": null, "canonId": "019dd956-94f5-73dd-8446-ab3f7941bee7", "version": 1, "bodyDocId": null, "description": "Total mental effort required to process information - minimize unnecessary complexity", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Architect", "layer": "block", "agents": [ "Architect" ], "matchId": "019dea97-a3fd-765b-aa8c-78f7cf516d1e", "evidence": "Each stat reduced to a single number plus one sentence.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 5, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Miller's Law", "slug": "millers-law", "status": "active", "bestFor": null, "canonId": "019dd956-9552-72f9-b76a-78512cb25d46", "version": 1, "bodyDocId": null, "description": "Users can hold 7±2 items in working memory - structure content accordingly", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Architect", "layer": "block", "agents": [ "Architect" ], "matchId": "019dea97-a3d8-715b-9ca1-a4c883614132", "evidence": "Six chunked stat panels stay near 7±2 working-memory limit.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 5, "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": "019dea97-a54a-740c-bf31-14d5bbdda55d", "evidence": "Knowledge / Trust / Future are mutually exclusive thematic buckets.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 7, "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": "019dea97-a527-770a-8db1-7fe30306f6a2", "evidence": "Three columns per summary slide; deck has three thematic sections.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 80, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 7, "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": "019dea97-a503-73db-976e-f17aa3d4dce9", "evidence": "Executive summary structured into three thematic pillars repeated p7-9.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 80, "extraction": { "at": "2026-05-02 21:28:18.637643+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": "019dea97-a2ae-7158-acfe-8fa96064a478", "evidence": "Excited vs nervous contrast threads through the executive summary.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 80, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 2, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Reveal vs. Headline Strategy", "slug": "reveal-vs-headline-strategy", "status": "active", "bestFor": "Use whenever a deck carries a single load-bearing thesis to a defined audience: headline when the audience is senior, time-poor, scanning, or already aligned with the thesis; reveal when the thesis is contrarian, the audience needs to feel the gap before accepting the bridge, or the deck is a single-pass in-room persuasion artefact. Skip for routine KPI updates, hypothesis-tree discovery decks, or reference material with no thesis.", "canonId": "019dd956-9c8b-76fe-b6f3-c2621dbef6d3", "version": 1, "bodyDocId": "f162d89e-0423-4b27-aa7e-2fe4db1c5d57", "description": "The meta-decision at the deck-flow layer of whether to lead with the answer (headline / Minto / top-down) or earn the answer through a built arc (reveal / Sparkline / in medias res). Sequences whole sections by audience cognitive state, stakes, and thesis-direction.", "familyLabel": null, "categoryName": "Loop", "categorySlug": "loop" }, "agent": "Designer", "layer": "loop", "agents": [ "Designer" ], "matchId": "019dea97-a28a-7141-8af4-b008ac51763d", "evidence": "Loop opens with the headline answer before presenting evidence.", "pageRefs": null, "priority": null, "whenToUse": "Use whenever a deck carries a single load-bearing thesis to a defined audience: headline when the audience is senior, time-poor, scanning, or already aligned with the thesis; reveal when the thesis is contrarian, the audience needs to feel the gap before accepting the bridge, or the deck is a single-pass in-room persuasion artefact. Skip for routine KPI updates, hypothesis-tree discovery decks, or reference material with no thesis.", "confidence": 80, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 2, "whyItWorks": "The two strategies optimise for genuinely different audience starting positions — headline for speed of agreement with neutral or sympathetic audiences, reveal for depth of agreement with sceptical or invested ones. Headlining a contrarian thesis triggers reactance; revealing to a transactional audience makes them scan ahead and lose the thread. Naming the choice up front prevents the hybrid that under-performs in both rooms.", "antipattern": "The hybrid that pleases nobody — previewing the answer on slide 2 and then attempting a reveal arc. Audience has the answer so the build feels stalled; the build is there so the answer feels under-defended. Adjacent failures: chronological deck labelled reveal, reveal climax on the final slide with no call to action, and headline deck without an SCQA opening.", "cardinality": null, "narrativePurpose": "Forces the loop-layer author to commit to a single shape — headline or reveal — before sequencing slides, so cadence, slide-one job, and call-to-action placement all flow from one named choice instead of drifting into a hybrid that pleases neither scanners nor sit-forward audiences." }, { "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": "019dea97-a703-777c-b205-17fd7efc9228", "evidence": "Excited vs Nervous, Agree vs Disagree contrasts thread through p15-17.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 80, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 11, "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": "019dea97-a6df-73bf-9055-0f447f776b86", "evidence": "Loop accumulates four agreement charts to build a sentiment pattern.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 11, "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": "019dea97-aa4d-75f4-b01a-1420c9424254", "evidence": "Loop juxtaposes trust-AI (p23) with trust-people (p24) and the delta (p25).", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 85, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 20, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Tension Management", "slug": "tension-management", "status": "active", "bestFor": null, "canonId": "019dd956-9bd5-70ed-a5d2-1ce45853c248", "version": 1, "bodyDocId": null, "description": "Planning emotional peaks and valleys throughout the narrative", "familyLabel": null, "categoryName": "Loop", "categorySlug": "loop" }, "agent": "Storyteller", "layer": "loop", "agents": [ "Storyteller" ], "matchId": "019dea97-aa72-741e-b2ac-cde8bc6233cd", "evidence": "Builds trust deficit narrative before resolving with AI-vs-people delta.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 65, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 20, "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": "loop", "agents": [ "Storyteller" ], "matchId": "019dea97-acec-74ba-9fc1-1282aedbb1cc", "evidence": "Past-impact (p28) → future-impact (p29) → jobs → domains arcs the loop.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 65, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 28, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Progressive Disclosure", "slug": "progressive-disclosure", "status": "active", "bestFor": null, "canonId": "019dd956-ac0e-734f-96a9-2a5ce72bdc19", "version": 1, "bodyDocId": null, "description": "Users less overwhelmed when complex features revealed gradually", "familyLabel": null, "categoryName": "Loop", "categorySlug": "loop" }, "agent": "Architect", "layer": "loop", "agents": [ "Architect", "Designer" ], "matchId": "019dea97-ad11-7164-9fc9-ba0f02bdaa22", "evidence": "Loop reveals one life domain at a time across 13 slides.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 60, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 28, "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": "ae3f9ce2-e7b9-4d69-979e-321af3066ca1", "evidence": "THE IPSOS AI MONITOR 2024", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.9, "extraction": { "at": "2026-07-16 21:42:50.113734+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": "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": "019dea97-a1cc-7339-8c01-628238419183", "evidence": "Title states the insight: 'Asia is the most excited region about a future with AI'.", "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 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 2, "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": "019dea97-a21a-72d8-98ac-6f93b16498c4", "evidence": "Hamish Munro CEO Ipsos APEC quote borrows authority.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 80, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 2, "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": "019dea97-a264-7749-8f2f-ed3435d732d1", "evidence": "Specific country numbers: China 80%, Indonesia 76%, Thailand 76%, South Korea 73%.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 75, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 2, "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": "019dea97-a240-7122-9a87-320b4ff13ed8", "evidence": "Named CEO photo and signed perspective transfers credibility.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 2, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Opening Hooks", "slug": "opening-hooks", "status": "active", "bestFor": null, "canonId": "019dd956-aeb0-77d5-bfbd-9cd9a6be8186", "version": 1, "bodyDocId": null, "description": "Techniques to capture attention: Startling statistic, provocative question, short story, analogy, contrast", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "019dea97-a1f2-703e-b97b-8087a32c33af", "evidence": "Provocative question 'Friend and foe?' opens the deck's narrative.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 2, "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": "019dea97-a38c-73df-915e-06dd1af835be", "evidence": "Restrained dark-teal palette emphasizes white stat numbers.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 75, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 5, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Executive summary", "slug": "executive-summary", "status": "active", "bestFor": null, "canonId": "019dd9e1-4b63-72d5-9734-da757d91ca61", "version": 1, "bodyDocId": null, "description": "A condensed view of the entire argument on a single slide / block.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "e9d4e251-ba25-4953-9ba1-f4802f27de94", "evidence": "At a glance", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.8, "extraction": { "at": "2026-07-16 21:42:50.32426+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 5, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null }, { "tool": { "name": "Grid System", "slug": "grid-system", "status": "active", "bestFor": null, "canonId": "019dd956-b745-710f-8b70-825c603b1163", "version": 1, "bodyDocId": null, "description": "Aligning elements to invisible grid for visual harmony", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "019dea97-a3b0-7659-8291-47b7c282ab05", "evidence": "Six stat panels aligned to a 2x3 grid.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 75, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 5, "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": "019dea97-a31d-7014-9d15-5870882b60cc", "evidence": "Each stat paired with an icon (phone, check, globe, dial, briefcase).", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 80, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 5, "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": "019dea97-a367-7761-ab04-08a97f4bf254", "evidence": "Number > label sized for instant scan; six panels in 2x3 grid.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 85, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 5, "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": "019dea97-a342-717c-911e-57b65eb76589", "evidence": "Large white percentages on dark teal stand out as focal points.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 80, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 5, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "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": "019dea97-a447-74db-9517-c75554273f09", "evidence": "Highlighted callout sits over the six-finding list.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 80, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 6, "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": "019dea97-a422-76e7-9336-d8e55a3a849b", "evidence": "Callout 'People are both excited and nervous about AI' states the so-what.", "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": 75, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 6, "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": "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": "019dea97-a46e-76f1-9fcd-9957f889f081", "evidence": "Ordered list of six findings with bolded leads.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 21:28:18.637643+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": "019dea97-a494-76ef-a739-a421ac790976", "evidence": "Bolded sub-headers state insights, e.g., 'People are split over...'.", "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 21:28:18.637643+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": "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": "019dea97-a4b9-760f-b43c-346ccf67506d", "evidence": "Each column anchored by a thematic icon.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 80, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 7, "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": "019dea97-a4dd-7585-b5ed-26a3c1ce2faf", "evidence": "Three-column layout with consistent type ramp.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 75, "extraction": { "at": "2026-05-02 21:28:18.637643+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": "019dea97-a570-7331-be6a-bbf4ac145720", "evidence": "Bolded statements lead each column with insight phrasing.", "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": 70, "extraction": { "at": "2026-05-02 21:28:18.637643+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": "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": "019dea97-a595-71a3-9982-3f9b3b0ee6f0", "evidence": "Icons anchor each of the three trust themes.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 80, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 8, "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": "019dea97-a5bb-7539-ba9c-345c63e5ea26", "evidence": "Three-column rhythm matches p7 / p9.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 75, "extraction": { "at": "2026-05-02 21:28:18.637643+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": "019dea97-a5df-707b-9d19-ab20a57034e7", "evidence": "Bold headers: 'While 50% say AI has already changed their life, 66% say it will impact their future'.", "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 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 9, "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": "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": "019dea97-a64e-728d-ac29-66a90450c9ed", "evidence": "Specific country/generation percentages cited (Indonesia 87%, Gen Z 46%).", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 75, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 9, "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": "019dea97-a604-755c-a245-b10b4fd1a782", "evidence": "Globe, briefcase, ID-card icons anchor the three columns.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 80, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 9, "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": "019dea97-a628-72e7-85b4-051786e53e71", "evidence": "Question subhead + bold action title + supporting paragraph.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 75, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 9, "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": "30b19699-4db4-4286-9835-e4fdc5c445a2", "evidence": "The slide type is explicitly labeled as 'section_divider', and the content clearly separates topics.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.9, "extraction": { "at": "2026-07-17 03:19:17.805193+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 10, "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": "019dea97-a696-7444-ac68-dd06245e1ea0", "evidence": "Horizontal stacked bars suit ranked country comparison.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 11, "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": "019dea97-a672-715d-a44d-4689fce3f52c", "evidence": "Two-tone dark/light blue distinguishes Agree vs Disagree across all charts.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 80, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 11, "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": "019dea97-a6ba-750f-919d-c575198cc983", "evidence": "Minimal gridlines, no 3D, percentages in-bar.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 65, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 11, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "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": "019dea97-a74c-75ec-abf4-e55d0b30768f", "evidence": "Year labels and delta annotations on bar pairs.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 12, "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": "019dea97-a76f-7332-b1a4-bbd2f401f73f", "evidence": "Consistent two-tone palette signals year comparison.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 12, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "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": "019dea97-a727-774d-8756-20d0d9cd8ac2", "evidence": "Side-by-side 2023 vs 2024 bars repeated across four generations.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 75, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 12, "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": "019dea97-a7b9-73d2-a6a7-17276b3fed16", "evidence": "Horizontal stacked bar ranks countries on awareness.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 13, "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": "019dea97-a794-7506-8a6d-f6edd31dafa5", "evidence": "Same Agree/Disagree palette as p11.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 80, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 13, "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": "019dea97-a7de-7578-a5a6-7e9eb1e8ed7f", "evidence": "Clean bars with embedded percentages.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 65, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 13, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "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": "019dea97-a826-73c0-bc0f-e8e86c3daf24", "evidence": "Generation labels and year deltas annotated.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 65, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 14, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "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": "019dea97-a802-77ab-8e26-ed7c79732088", "evidence": "2023 vs 2024 bars repeated across generations.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 75, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 14, "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": "019dea97-a86f-73ce-97b2-b9dad7d89ba6", "evidence": "Horizontal stacked bars rank countries on nervousness.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 15, "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": "019dea97-a84b-76e8-aaa6-e34c42e393af", "evidence": "Same palette repurposed for nervousness sentiment.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 75, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 15, "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": "019dea97-a8b7-75ef-bdb9-d31d8be9fe31", "evidence": "Horizontal stacked bars rank countries on excitement.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 16, "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": "019dea97-a894-74e1-8624-108600f67906", "evidence": "Same palette across the excited/nervous pair.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 75, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 16, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "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": "019dea97-a900-7348-ac9d-d05ee4024c5b", "evidence": "Dashed regional cluster ovals with colored labels overlay scatter.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 90, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 17, "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": "019dea97-a94a-726b-bbcb-9886df5b9f86", "evidence": "Color encodes geography, not sentiment, to surface regional pattern.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 80, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 17, "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": "019dea97-a926-72bf-8d32-2442984e0d25", "evidence": "Pink/teal/orange clusters contrast distinctly against navy points.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 80, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 17, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Focal Point", "slug": "focal-point", "status": "active", "bestFor": null, "canonId": "019dd956-b9d2-7535-ad41-3b1a87fa7a93", "version": 1, "bodyDocId": null, "description": "Creating single point of visual emphasis", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "019dea97-a994-7665-9113-93560b42cf00", "evidence": "Asia cluster at high-excited end is the visual punchline.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 17, "whyItWorks": null, "antipattern": null, "cardinality": null, "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": "019dea97-a970-7683-b6f3-d276153238dd", "evidence": "Enclosure (ovals) groups countries; proximity reinforces clusters.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 80, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 17, "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": "019dea97-a8db-70c0-aef9-8ee4eb0934d9", "evidence": "Three colored cluster ovals (Anglosphere/Europe/Asia) dominate the eye.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 85, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 17, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "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": "019dea97-a9de-7751-8abb-3d8a1775da3a", "evidence": "Side column 'Agree / 23' annotates year-over-year change.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 65, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 18, "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": "019dea97-a9b9-749a-b1dd-b8559b999c54", "evidence": "Two-tone palette plus 2023 comparison column.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 75, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 18, "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": "019dea97-aa28-762e-b0ae-c350c1a59b04", "evidence": "Horizontal stacked bars rank trust by country.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 20, "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": "019dea97-aa03-7648-80fe-a9821ad27844", "evidence": "Stacked Agree/Disagree palette consistent with knowledge section.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 75, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 20, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "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": "019dea97-aabb-73fd-8dcc-659edb5d2636", "evidence": "Net agree score sorted, global average highlighted.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 60, "extraction": { "at": "2026-05-02 21:28:18.637643+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": "019dea97-aa96-75aa-a74d-d53edde5c2df", "evidence": "Net-agreement bar chart with diverging baseline.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 21, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "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": "019dea97-ab05-7198-ab9c-81fc9ce00c12", "evidence": "Year and cohort labels annotate bar pairs.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 60, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 22, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "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": "019dea97-aae1-758b-9047-43b592677203", "evidence": "Generation x year bar pairs repeated across cohorts.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 75, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 22, "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": "019dea97-ab4e-73e9-b1b7-04c8adc833a5", "evidence": "Horizontal stacked bars match the country-rank pattern.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 65, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 23, "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": "019dea97-ab29-725c-a393-c4950b31517b", "evidence": "Same Agree/Disagree palette ranks discrimination trust.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 75, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 23, "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": "019dea97-ab9c-73c4-bdb6-52037db22a59", "evidence": "Identical chart form to p23 supports paired reading.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 65, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 24, "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": "019dea97-ab76-75ff-ae81-c0b01daad0a7", "evidence": "Mirror palette of p23 to invite direct comparison.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 75, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 24, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "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": "019dea97-abe9-7088-a861-be5d0ccb7215", "evidence": "Side panel spells out the AI-minus-people calculation.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 75, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 25, "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": "019dea97-ac34-7248-959f-9b75e2953f7c", "evidence": "Single negative bar in contrasting teal flags the outlier.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 25, "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": "019dea97-ac0d-773f-9bbf-9796c84c0e27", "evidence": "Sorted bars emphasize ranking; Global Average pinned at top.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 75, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 25, "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": "019dea97-abc1-73c8-9976-2784483c821d", "evidence": "Ireland's -5% bar in teal stands out from all-navy bars.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 80, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 25, "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": "019dea97-ac7e-741b-aa73-d097ac6e7132", "evidence": "Two-tone palette distinguishes AI vs people in each pair.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 26, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "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": "019dea97-ac59-73e0-ab3e-12cd94b2f741", "evidence": "Generation panels each compare AI vs people trust.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 75, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 26, "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": "019dea97-acc8-712b-b8f6-89eed647caaa", "evidence": "Horizontal stacked bars rank perceived past impact by country.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 65, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 28, "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": "019dea97-aca3-735d-9a57-a0aba2f1b3e3", "evidence": "Same Agree/Disagree palette opens the future section.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 75, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 28, "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": "019dea97-ad5d-700d-a662-55dde5bd26b5", "evidence": "Same horizontal stacked bar pattern.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 65, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 29, "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": "019dea97-ad38-77a9-82b1-1c14cb263ab0", "evidence": "Mirrors p28 palette to support past-vs-future read.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 29, "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": "019dea97-ada5-764b-b48b-1feeca32c6bf", "evidence": "Diverging stacks suit Likert-style likelihood.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 30, "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": "019dea97-ad81-74ee-9129-9bb692d67bf3", "evidence": "Diverging stacked bars use sentiment-intensity palette.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 75, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 30, "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": "019dea97-adca-709c-8071-0e383f3fadba", "evidence": "Brief flags an explicit action-title component on this slide.", "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": 65, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 31, "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-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": "2871ec1d-8479-413a-b2bc-a93792470af7", "evidence": "The slide features a grouped bar chart showing 2023 vs 2024 data for Gen Z, Millennials, Gen X, and Baby Boomers.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 21:42:58.761638+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 31, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "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": "019dea97-adee-77e5-9fb8-a45299b81d8f", "evidence": "Generation x year bar pairs repeated across cohorts.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 31, "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": "019dea97-ae39-73b7-9c8d-ca1fc7a9def8", "evidence": "Diverging stacked bars by country.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 65, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 32, "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": "019dea97-ae13-718c-af7e-68f3f20d49e5", "evidence": "Diverging palette for likelihood of replacement.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 75, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 32, "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": "e2b3549e-0be6-404d-bc94-836586210ebb", "evidence": "The slide features a stacked bar chart of AI job replacement sentiment by country.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 21:42:58.845389+00", "model": "or:meta-llama/llama-4-scout", "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": "019dea97-ae5f-776a-bee5-61108f3c6e9c", "evidence": "Brief flags action-title component on the generational replacement comparison.", "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": 60, "extraction": { "at": "2026-05-02 21:28:18.637643+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": "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": "8e96bd0e-7fb9-4050-95bd-7ca4d3cb63c3", "evidence": "The slide features a grouped bar chart showing percentages for Gen Z, Millennials, Gen X, and Baby Boomers for 2023 and 2024.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 21:42:58.930691+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 33, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "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": "019dea97-ae84-73e9-a41c-1b043abf4829", "evidence": "Year-over-year bars repeated across the four generations.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 33, "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": "019dea97-aecd-733a-baa2-d1a770ff9b45", "evidence": "Diverging stacked bar suits sentiment categories.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 65, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 34, "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": "019dea97-aea9-754d-8b48-c73b934e2a11", "evidence": "Better/Same/Worse tri-color stacked bars.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 34, "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": "24f728e3-9c5e-4ca4-bfe2-e3b158270c81", "evidence": "The slide features a stacked bar chart of AI impact on jobs by country.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 21:42:59.016478+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 34, "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": "019dea97-af16-718d-b2d9-37d988c1bae4", "evidence": "Diverging stacked bar by country.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 65, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 35, "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": "019dea97-aef1-7228-9532-01f869d934c0", "evidence": "Tri-color sentiment palette consistent with p34.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 35, "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": "4161a9ff-5a0b-43ee-938c-be9f81390d4e", "evidence": "The slide features a stacked bar chart of 32 countries plus global average.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 21:42:59.100877+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 35, "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": "019dea97-af60-72cb-8854-08bb052b54a8", "evidence": "Diverging stacked bar by country.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 65, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 36, "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": "019dea97-af3c-770b-bb92-8a181e88a493", "evidence": "Same tri-color sentiment palette.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 36, "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": "29b05bf7-da85-4f86-b363-f160c1006fe7", "evidence": "The slide features a stacked bar chart of AI impact on job market by country.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 21:42:59.184544+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 36, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "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": "019dea97-afa9-756c-8377-8e285442c757", "evidence": "Country labels annotate stacked-bar segments.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 60, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 37, "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": "019dea97-af85-73eb-a0c7-136e6eccdcf5", "evidence": "Tri-color sentiment palette.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 37, "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": "9cc546f2-5ffa-4673-b44f-643e5a057238", "evidence": "The slide features a stacked bar chart of sentiment by country.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 21:42:59.26832+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 37, "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": "019dea97-aff3-71aa-925d-8bbfb7f277f7", "evidence": "Diverging stacked bar by country.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 65, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 38, "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": "019dea97-afcd-774a-abb8-d206f8bd33ec", "evidence": "Tri-color sentiment palette.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 38, "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": "1c457911-94f8-41bd-b766-0456249464fe", "evidence": "The slide features a stacked bar chart of sentiment by country.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 21:42:59.351827+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 38, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "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": "019dea97-b03d-739c-b5f7-e8d386a9af27", "evidence": "Category labels annotate the diverging bar.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 60, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 39, "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": "019dea97-b017-736e-b90a-e627995178c8", "evidence": "Better/Same/Worse encoded as navy/yellow/teal.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 39, "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": "8c10d107-3b50-4572-b097-12a1015d1d88", "evidence": "The slide features a stacked bar chart of survey responses by country.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 21:42:59.435801+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 39, "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": "019dea97-b086-702e-9feb-5c08fe8fdc26", "evidence": "Diverging stacked bar by country.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 65, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 40, "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": "019dea97-b062-75df-bd74-f6970e47f094", "evidence": "Tri-color sentiment palette.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 40, "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": "8804e874-ef17-405c-8f17-9d4b7422efb6", "evidence": "The slide features a stacked bar chart showing sentiment (Better, Stay the same, Worse) across 32 countries.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 21:42:59.518575+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 40, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [ { "matchId": "019dea97-b0aa-7397-a335-63c7dc19c7a1", "evidence": "Scatter with explicit %Nervous (Y) vs %Excited (X) axes and three regional cluster overlays.", "framework": null, "confidence": 90, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 17, "frameworkName": "2x2 Matrix" } ], "patterns": [] }, "storymakers": { "model": "claude-cli", "backend": "claude", "rawJson": { "arc": { "id": 11, "slug": "triple-take", "beats": [ { "name": "The Facts (What)", "end_page": 9, "evidence": "Cover, contents, lead takeaway and at-a-glance summary stats.", "position": 1, "start_page": 1 }, { "name": "The Implications (So What)", "end_page": 40, "evidence": "Three thematic sections: Knowledge, Trust, Future impact across countries and generations.", "position": 2, "start_page": 10 }, { "name": "The Action (Now What)", "end_page": 43, "evidence": "Methodology and 'For more information' contact slide; no recommendation.", "position": 3, "start_page": 41 } ], "evidence": "Headline finding p2 + executive summary p5-9 (Facts), three thematic deep-dives p10-40 (So What), methodology/contact p41-43 (Now What is weak).", "confidence": 55 }, "loops": [ { "id": 41, "slug": "41-so-what-cascade", "end_page": 9, "evidence": "p2 headline 'Asia most excited', p5 'At a glance' stat panel, p6-9 progressively unpack key findings.", "position": 1, "objective": "Lead with headline finding then cascade summary insights", "confidence": 70, "start_page": 2 }, { "id": 34, "slug": "34-segmentation-split", "end_page": 18, "evidence": "p11/13/15/16/18 break agreement by 32 countries; p12/14 compare 4 generations 2023 vs 2024; p17 plots regional clusters.", "position": 2, "objective": "Show how AI knowledge and sentiment split by country and generation", "confidence": 75, "start_page": 11 }, { "id": 4, "slug": "04-tale-two-worlds", "end_page": 26, "evidence": "p23/24 pair AI-trust and people-trust on bias, p25 plots the AI-minus-people delta, p26 compares across generations.", "position": 3, "objective": "Contrast trust in AI versus trust in people on discrimination and data", "confidence": 80, "start_page": 20 }, { "id": 40, "slug": "40-mece-breakdown", "end_page": 40, "evidence": "Slides cover jobs (p30-31), job replacement (p32-33), disinformation (p35), economy (p37), entertainment (p38), time (p39), health (p40).", "position": 4, "objective": "Decompose AI's future impact into distinct life domains", "confidence": 65, "start_page": 28 } ], "slide_tools": [ { "tools": [ { "id": 118, "slug": "action-titles", "layer": "Slide", "evidence": "Title states the insight: 'Asia is the most excited region about a future with AI'.", "confidence": 90 }, { "id": 123, "slug": "opening-hooks", "layer": "Slide", "evidence": "Provocative question 'Friend and foe?' opens the deck's narrative.", "confidence": 70 }, { "id": 169, "slug": "authority-bias", "layer": "Slide", "evidence": "Hamish Munro CEO Ipsos APEC quote borrows authority.", "confidence": 80 }, { "id": 155, "slug": "credibility-transfer", "layer": "Slide", "evidence": "Named CEO photo and signed perspective transfers credibility.", "confidence": 70 }, { "id": 154, "slug": "concrete-language", "layer": "Slide", "evidence": "Specific country numbers: China 80%, Indonesia 76%, Thailand 76%, South Korea 73%.", "confidence": 75 }, { "id": 81, "slug": "reveal-vs-headline-strategy", "layer": "Loop", "evidence": "Loop opens with the headline answer before presenting evidence.", "confidence": 80 }, { "id": 78, "slug": "contrast-pairs", "layer": "Loop", "evidence": "Excited vs nervous contrast threads through the executive summary.", "confidence": 80 }, { "id": 3, "slug": "pyramid-principle", "layer": "Block", "evidence": "Document leads with answer (p2) then evidence — top-down structure.", "confidence": 75 }, { "id": 17, "slug": "governing-thought", "layer": "Block", "evidence": "'Asia is the most excited region' acts as governing thought across the deck.", "confidence": 70 } ], "page_number": 2 }, { "tools": [ { "id": 165, "slug": "picture-superiority-effect", "layer": "Slide", "evidence": "Each stat paired with an icon (phone, check, globe, dial, briefcase).", "confidence": 80 }, { "id": 158, "slug": "von-restorff-effect", "layer": "Slide", "evidence": "Large white percentages on dark teal stand out as focal points.", "confidence": 80 }, { "id": 132, "slug": "visual-hierarchy", "layer": "Slide", "evidence": "Number > label sized for instant scan; six panels in 2x3 grid.", "confidence": 85 }, { "id": 130, "slug": "color-strategy", "layer": "Slide", "evidence": "Restrained dark-teal palette emphasizes white stat numbers.", "confidence": 75 }, { "id": 142, "slug": "grid-system", "layer": "Slide", "evidence": "Six stat panels aligned to a 2x3 grid.", "confidence": 75 }, { "id": 63, "slug": "millers-law", "layer": "Block", "evidence": "Six chunked stat panels stay near 7±2 working-memory limit.", "confidence": 70 }, { "id": 62, "slug": "cognitive-load", "layer": "Block", "evidence": "Each stat reduced to a single number plus one sentence.", "confidence": 70 } ], "page_number": 5 }, { "tools": [ { "id": 119, "slug": "so-what-test", "layer": "Slide", "evidence": "Callout 'People are both excited and nervous about AI' states the so-what.", "confidence": 75 }, { "id": 138, "slug": "annotation", "layer": "Slide", "evidence": "Highlighted callout sits over the six-finding list.", "confidence": 80 }, { "id": 132, "slug": "visual-hierarchy", "layer": "Slide", "evidence": "Ordered list of six findings with bolded leads.", "confidence": 70 } ], "page_number": 6 }, { "tools": [ { "id": 118, "slug": "action-titles", "layer": "Slide", "evidence": "Bolded sub-headers state insights, e.g., 'People are split over...'.", "confidence": 80 }, { "id": 165, "slug": "picture-superiority-effect", "layer": "Slide", "evidence": "Each column anchored by a thematic icon.", "confidence": 80 }, { "id": 132, "slug": "visual-hierarchy", "layer": "Slide", "evidence": "Three-column layout with consistent type ramp.", "confidence": 75 }, { "id": 16, "slug": "three-pillars", "layer": "Block", "evidence": "Executive summary structured into three thematic pillars repeated p7-9.", "confidence": 80 }, { "id": 34, "slug": "the-rule-of-three", "layer": "Block", "evidence": "Three columns per summary slide; deck has three thematic sections.", "confidence": 80 }, { "id": 2, "slug": "mece-principle", "layer": "Block", "evidence": "Knowledge / Trust / Future are mutually exclusive thematic buckets.", "confidence": 70 } ], "page_number": 7 }, { "tools": [ { "id": 118, "slug": "action-titles", "layer": "Slide", "evidence": "Bolded statements lead each column with insight phrasing.", "confidence": 70 }, { "id": 165, "slug": "picture-superiority-effect", "layer": "Slide", "evidence": "Icons anchor each of the three trust themes.", "confidence": 80 }, { "id": 132, "slug": "visual-hierarchy", "layer": "Slide", "evidence": "Three-column rhythm matches p7 / p9.", "confidence": 75 } ], "page_number": 8 }, { "tools": [ { "id": 118, "slug": "action-titles", "layer": "Slide", "evidence": "Bold headers: 'While 50% say AI has already changed their life, 66% say it will impact their future'.", "confidence": 90 }, { "id": 165, "slug": "picture-superiority-effect", "layer": "Slide", "evidence": "Globe, briefcase, ID-card icons anchor the three columns.", "confidence": 80 }, { "id": 132, "slug": "visual-hierarchy", "layer": "Slide", "evidence": "Question subhead + bold action title + supporting paragraph.", "confidence": 75 }, { "id": 154, "slug": "concrete-language", "layer": "Slide", "evidence": "Specific country/generation percentages cited (Indonesia 87%, Gen Z 46%).", "confidence": 75 } ], "page_number": 9 }, { "tools": [ { "id": 130, "slug": "color-strategy", "layer": "Slide", "evidence": "Two-tone dark/light blue distinguishes Agree vs Disagree across all charts.", "confidence": 80 }, { "id": 129, "slug": "chart-selection-guide", "layer": "Slide", "evidence": "Horizontal stacked bars suit ranked country comparison.", "confidence": 70 }, { "id": 125, "slug": "data-ink-ratio", "layer": "Slide", "evidence": "Minimal gridlines, no 3D, percentages in-bar.", "confidence": 65 }, { "id": 74, "slug": "inductive-reasoning", "layer": "Loop", "evidence": "Loop accumulates four agreement charts to build a sentiment pattern.", "confidence": 70 }, { "id": 78, "slug": "contrast-pairs", "layer": "Loop", "evidence": "Excited vs Nervous, Agree vs Disagree contrasts thread through p15-17.", "confidence": 80 } ], "page_number": 11 }, { "tools": [ { "id": 133, "slug": "small-multiples", "layer": "Slide", "evidence": "Side-by-side 2023 vs 2024 bars repeated across four generations.", "confidence": 75 }, { "id": 138, "slug": "annotation", "layer": "Slide", "evidence": "Year labels and delta annotations on bar pairs.", "confidence": 70 }, { "id": 130, "slug": "color-strategy", "layer": "Slide", "evidence": "Consistent two-tone palette signals year comparison.", "confidence": 70 } ], "page_number": 12 }, { "tools": [ { "id": 130, "slug": "color-strategy", "layer": "Slide", "evidence": "Same Agree/Disagree palette as p11.", "confidence": 80 }, { "id": 129, "slug": "chart-selection-guide", "layer": "Slide", "evidence": "Horizontal stacked bar ranks countries on awareness.", "confidence": 70 }, { "id": 125, "slug": "data-ink-ratio", "layer": "Slide", "evidence": "Clean bars with embedded percentages.", "confidence": 65 } ], "page_number": 13 }, { "tools": [ { "id": 133, "slug": "small-multiples", "layer": "Slide", "evidence": "2023 vs 2024 bars repeated across generations.", "confidence": 75 }, { "id": 138, "slug": "annotation", "layer": "Slide", "evidence": "Generation labels and year deltas annotated.", "confidence": 65 } ], "page_number": 14 }, { "tools": [ { "id": 130, "slug": "color-strategy", "layer": "Slide", "evidence": "Same palette repurposed for nervousness sentiment.", "confidence": 75 }, { "id": 129, "slug": "chart-selection-guide", "layer": "Slide", "evidence": "Horizontal stacked bars rank countries on nervousness.", "confidence": 70 } ], "page_number": 15 }, { "tools": [ { "id": 130, "slug": "color-strategy", "layer": "Slide", "evidence": "Same palette across the excited/nervous pair.", "confidence": 75 }, { "id": 129, "slug": "chart-selection-guide", "layer": "Slide", "evidence": "Horizontal stacked bars rank countries on excitement.", "confidence": 70 } ], "page_number": 16 }, { "tools": [ { "id": 132, "slug": "visual-hierarchy", "layer": "Slide", "evidence": "Three colored cluster ovals (Anglosphere/Europe/Asia) dominate the eye.", "confidence": 85 }, { "id": 138, "slug": "annotation", "layer": "Slide", "evidence": "Dashed regional cluster ovals with colored labels overlay scatter.", "confidence": 90 }, { "id": 159, "slug": "contrast-principle", "layer": "Slide", "evidence": "Pink/teal/orange clusters contrast distinctly against navy points.", "confidence": 80 }, { "id": 130, "slug": "color-strategy", "layer": "Slide", "evidence": "Color encodes geography, not sentiment, to surface regional pattern.", "confidence": 80 }, { "id": 131, "slug": "gestalt-principles", "layer": "Slide", "evidence": "Enclosure (ovals) groups countries; proximity reinforces clusters.", "confidence": 80 }, { "id": 147, "slug": "focal-point", "layer": "Slide", "evidence": "Asia cluster at high-excited end is the visual punchline.", "confidence": 70 } ], "page_number": 17 }, { "tools": [ { "id": 130, "slug": "color-strategy", "layer": "Slide", "evidence": "Two-tone palette plus 2023 comparison column.", "confidence": 75 }, { "id": 138, "slug": "annotation", "layer": "Slide", "evidence": "Side column 'Agree / 23' annotates year-over-year change.", "confidence": 65 } ], "page_number": 18 }, { "tools": [ { "id": 130, "slug": "color-strategy", "layer": "Slide", "evidence": "Stacked Agree/Disagree palette consistent with knowledge section.", "confidence": 75 }, { "id": 129, "slug": "chart-selection-guide", "layer": "Slide", "evidence": "Horizontal stacked bars rank trust by country.", "confidence": 70 }, { "id": 78, "slug": "contrast-pairs", "layer": "Loop", "evidence": "Loop juxtaposes trust-AI (p23) with trust-people (p24) and the delta (p25).", "confidence": 85 }, { "id": 79, "slug": "tension-management", "layer": "Loop", "evidence": "Builds trust deficit narrative before resolving with AI-vs-people delta.", "confidence": 65 } ], "page_number": 20 }, { "tools": [ { "id": 129, "slug": "chart-selection-guide", "layer": "Slide", "evidence": "Net-agreement bar chart with diverging baseline.", "confidence": 70 }, { "id": 138, "slug": "annotation", "layer": "Slide", "evidence": "Net agree score sorted, global average highlighted.", "confidence": 60 } ], "page_number": 21 }, { "tools": [ { "id": 133, "slug": "small-multiples", "layer": "Slide", "evidence": "Generation x year bar pairs repeated across cohorts.", "confidence": 75 }, { "id": 138, "slug": "annotation", "layer": "Slide", "evidence": "Year and cohort labels annotate bar pairs.", "confidence": 60 } ], "page_number": 22 }, { "tools": [ { "id": 130, "slug": "color-strategy", "layer": "Slide", "evidence": "Same Agree/Disagree palette ranks discrimination trust.", "confidence": 75 }, { "id": 129, "slug": "chart-selection-guide", "layer": "Slide", "evidence": "Horizontal stacked bars match the country-rank pattern.", "confidence": 65 } ], "page_number": 23 }, { "tools": [ { "id": 130, "slug": "color-strategy", "layer": "Slide", "evidence": "Mirror palette of p23 to invite direct comparison.", "confidence": 75 }, { "id": 129, "slug": "chart-selection-guide", "layer": "Slide", "evidence": "Identical chart form to p23 supports paired reading.", "confidence": 65 } ], "page_number": 24 }, { "tools": [ { "id": 158, "slug": "von-restorff-effect", "layer": "Slide", "evidence": "Ireland's -5% bar in teal stands out from all-navy bars.", "confidence": 80 }, { "id": 138, "slug": "annotation", "layer": "Slide", "evidence": "Side panel spells out the AI-minus-people calculation.", "confidence": 75 }, { "id": 132, "slug": "visual-hierarchy", "layer": "Slide", "evidence": "Sorted bars emphasize ranking; Global Average pinned at top.", "confidence": 75 }, { "id": 159, "slug": "contrast-principle", "layer": "Slide", "evidence": "Single negative bar in contrasting teal flags the outlier.", "confidence": 70 } ], "page_number": 25 }, { "tools": [ { "id": 133, "slug": "small-multiples", "layer": "Slide", "evidence": "Generation panels each compare AI vs people trust.", "confidence": 75 }, { "id": 130, "slug": "color-strategy", "layer": "Slide", "evidence": "Two-tone palette distinguishes AI vs people in each pair.", "confidence": 70 } ], "page_number": 26 }, { "tools": [ { "id": 130, "slug": "color-strategy", "layer": "Slide", "evidence": "Same Agree/Disagree palette opens the future section.", "confidence": 75 }, { "id": 129, "slug": "chart-selection-guide", "layer": "Slide", "evidence": "Horizontal stacked bars rank perceived past impact by country.", "confidence": 65 }, { "id": 80, "slug": "data-story-arc", "layer": "Loop", "evidence": "Past-impact (p28) → future-impact (p29) → jobs → domains arcs the loop.", "confidence": 65 }, { "id": 117, "slug": "progressive-disclosure", "layer": "Loop", "evidence": "Loop reveals one life domain at a time across 13 slides.", "confidence": 60 } ], "page_number": 28 }, { "tools": [ { "id": 130, "slug": "color-strategy", "layer": "Slide", "evidence": "Mirrors p28 palette to support past-vs-future read.", "confidence": 70 }, { "id": 129, "slug": "chart-selection-guide", "layer": "Slide", "evidence": "Same horizontal stacked bar pattern.", "confidence": 65 } ], "page_number": 29 }, { "tools": [ { "id": 130, "slug": "color-strategy", "layer": "Slide", "evidence": "Diverging stacked bars use sentiment-intensity palette.", "confidence": 75 }, { "id": 129, "slug": "chart-selection-guide", "layer": "Slide", "evidence": "Diverging stacks suit Likert-style likelihood.", "confidence": 70 } ], "page_number": 30 }, { "tools": [ { "id": 118, "slug": "action-titles", "layer": "Slide", "evidence": "Brief flags an explicit action-title component on this slide.", "confidence": 65 }, { "id": 133, "slug": "small-multiples", "layer": "Slide", "evidence": "Generation x year bar pairs repeated across cohorts.", "confidence": 70 } ], "page_number": 31 }, { "tools": [ { "id": 130, "slug": "color-strategy", "layer": "Slide", "evidence": "Diverging palette for likelihood of replacement.", "confidence": 75 }, { "id": 129, "slug": "chart-selection-guide", "layer": "Slide", "evidence": "Diverging stacked bars by country.", "confidence": 65 } ], "page_number": 32 }, { "tools": [ { "id": 118, "slug": "action-titles", "layer": "Slide", "evidence": "Brief flags action-title component on the generational replacement comparison.", "confidence": 60 }, { "id": 133, "slug": "small-multiples", "layer": "Slide", "evidence": "Year-over-year bars repeated across the four generations.", "confidence": 70 } ], "page_number": 33 }, { "tools": [ { "id": 130, "slug": "color-strategy", "layer": "Slide", "evidence": "Better/Same/Worse tri-color stacked bars.", "confidence": 70 }, { "id": 129, "slug": "chart-selection-guide", "layer": "Slide", "evidence": "Diverging stacked bar suits sentiment categories.", "confidence": 65 } ], "page_number": 34 }, { "tools": [ { "id": 130, "slug": "color-strategy", "layer": "Slide", "evidence": "Tri-color sentiment palette consistent with p34.", "confidence": 70 }, { "id": 129, "slug": "chart-selection-guide", "layer": "Slide", "evidence": "Diverging stacked bar by country.", "confidence": 65 } ], "page_number": 35 }, { "tools": [ { "id": 130, "slug": "color-strategy", "layer": "Slide", "evidence": "Same tri-color sentiment palette.", "confidence": 70 }, { "id": 129, "slug": "chart-selection-guide", "layer": "Slide", "evidence": "Diverging stacked bar by country.", "confidence": 65 } ], "page_number": 36 }, { "tools": [ { "id": 130, "slug": "color-strategy", "layer": "Slide", "evidence": "Tri-color sentiment palette.", "confidence": 70 }, { "id": 138, "slug": "annotation", "layer": "Slide", "evidence": "Country labels annotate stacked-bar segments.", "confidence": 60 } ], "page_number": 37 }, { "tools": [ { "id": 130, "slug": "color-strategy", "layer": "Slide", "evidence": "Tri-color sentiment palette.", "confidence": 70 }, { "id": 129, "slug": "chart-selection-guide", "layer": "Slide", "evidence": "Diverging stacked bar by country.", "confidence": 65 } ], "page_number": 38 }, { "tools": [ { "id": 130, "slug": "color-strategy", "layer": "Slide", "evidence": "Better/Same/Worse encoded as navy/yellow/teal.", "confidence": 70 }, { "id": 138, "slug": "annotation", "layer": "Slide", "evidence": "Category labels annotate the diverging bar.", "confidence": 60 } ], "page_number": 39 }, { "tools": [ { "id": 130, "slug": "color-strategy", "layer": "Slide", "evidence": "Tri-color sentiment palette.", "confidence": 70 }, { "id": 129, "slug": "chart-selection-guide", "layer": "Slide", "evidence": "Diverging stacked bar by country.", "confidence": 65 } ], "page_number": 40 } ], "slides_seen": 43, "deck_summary": "A traditional analyst research report: leads with a single governing finding (Asia is most excited about AI), supports it via a six-stat executive summary and three thematic deep-dives (Knowledge / Trust / Future) — pyramid-style structure with strong action titles and a 2x2 reveal at p17, but no real recommendation, so 'Now What' is essentially absent.", "secondary_arcs": [], "images_inspected": 4, "slide_frameworks": [ { "frameworks": [ { "name": "2x2 Matrix", "slug": "matrix-nxn", "evidence": "Scatter with explicit %Nervous (Y) vs %Excited (X) axes and three regional cluster overlays.", "confidence": 90 } ], "page_number": 17 } ] }, "matchedAt": "2026-05-02 21:28:18.768+00", "slidesSeen": 43, "deckSummary": "A traditional analyst research report: leads with a single governing finding (Asia is most excited about AI), supports it via a six-stat executive summary and three thematic deep-dives (Knowledge / Trust / Future) — pyramid-style structure with strong action titles and a 2x2 reveal at p17, but no real recommendation, so 'Now What' is essentially absent.", "imagesInspected": 4, "extractionSeconds": 400.619 }, "score": { "backend": "codex", "scoredAt": "2026-05-02 13:32:22.442+00", "subScores": { "scqa_arc": 58, "action_titles": 24, "mece_structure": 72, "closing_strength": 25, "evidence_quality": 84, "clarity_of_thesis": 66, "production_quality": 62, "visual_storytelling": 74 }, "totalScore": 58, "coveragePct": 100, "explanations": { "scqa_arc": "The deck has situation and complication signals in Slides 2 and 5-9, but it largely proceeds as a topical survey data dump rather than a clear Situation-Complication-Question-Answer arc.", "action_titles": "Most analytical slides use survey-question labels rather than synthesized insights, for example Slide 11: \"How much do you agree or disagree with the following? I have a good understanding of what artificial intelligence is\".", "mece_structure": "Slides 10-40 are organized into distinct chapters on AI knowledge, trust, and future expectations, but the talking-points summary on Slides 5-9 overlaps with later sections and the structure does not fully separate sentiment, literacy, trust, and impact.", "closing_strength": "The deck ends with methodology and a contact slide on Slides 41-43, but it does not close with a recommendation, explicit implications, or next-step actions.", "evidence_quality": "Claims are strongly backed by 32-country survey charts, cohort cuts, prior-year comparison columns, and methodology disclosure on Slides 11-42, although some benchmark labels such as \"Agree / 23\" are not fully explained.", "clarity_of_thesis": "Slide 2 identifies the main APAC thesis that Asia is highly excited about AI and Slide 5 summarizes the monitor's findings, but the first five slides do not state one clean declarative argument or recommendation.", "production_quality": "The Ipsos template is consistent and the methodology is documented on Slide 42, but long question titles, dense country tables, and overcrowding on Slide 2 weaken headline discipline and readability.", "visual_storytelling": "The deck generally uses appropriate tools such as big-number summaries on Slide 5, country benchmark bars on Slides 11-16 and 20-40, and a sentiment scatter plot on Slide 17, though repeated dense tables dilute the story." }, "slidesAnalyzed": 43 }, "review": { "backend": null, "verdict": "A well-organized syndicated research monitor with one strong thesis hook (slide 2) and clean MECE pillars, but body titles are raw survey questions and the deck ends in methodology with no recommendation — use it as a counter-example for action titles and closes, not as a Storymakers exemplar.", "reviewedAt": "2026-04-24 23:05:35+00", "slidesSeen": 43, "suggestions": [ "Rewrite every survey-question title as an action title carrying the finding — e.g., p.21 should become something like 'Trust in AI to protect data is 30pts lower in the West than in Asia' instead of repeating the agree/disagree prompt", "Add a one-slide synthesis at the end of each pillar (after p.18, p.26, p.40) that states the 'so what' for marketers/policymakers, then a final implications slide before the methodology appendix", "Replace the 'For more information' close (p.43) with an explicit 'What this means for brands in APAC' call-to-action slide listing 3 concrete moves the audience should make" ], "closingScore": 22, "openingScore": 68, "topStrengths": [ "Slide 2 lands a crisp regional thesis with a 62% headline plus country breakdown (China 80%, Indonesia 76%) — textbook lead-with-the-answer", "Clear three-pillar structure via explicit section dividers at p.10, p.19, p.27 covering knowledge → trust → future", "Front-loaded exec summary block (slides 5–9) before diving into data, giving readers an early skim path" ], "topWeaknesses": [ "30 of ~36 content slides use raw survey-question text as titles instead of declarative insights (e.g., p.20, p.23, p.28, p.34)", "No synthesis or 'implications' slide closes any of the three sections — each pillar ends mid-data and jumps to the next divider", "Deck terminates in methodology (41–42) and a 'For more information' slide (43) with zero recommendation, next steps, or memorable close", "Heavy redundancy: same question is re-shown as data_table, peer_benchmark, and industry_trends (e.g., p.11–12, p.20–22, p.30–31) without a unifying takeaway" ], "narrativeScore": 52, "pillarCritique": "Three explicit dividers ('What people know about AI', 'AI and trust', 'AI and the future') give a tidy, near-MECE structure for an AI sentiment monitor, but they are topic buckets, not argument pillars — none of them carries a point-of-view title.", "closingCritique": "There is no recommendation or call to action — the last analytical slides (38–40) are more survey tables on entertainment, time, and health, followed by methodology (41–42) and a 'For more information' contact slide. The deck simply stops.", "openingCritique": "Slide 2 ('Friend and foe? Asia is the most excited region about a future with AI', 62%) is a strong thesis-bearing hook with a country breakdown, but it is immediately diluted by a TOC, a generic 'Talking points' divider, and 'At a glance' / 'Key findings' label slides before the argument resumes.", "extractionSeconds": 65.973335, "narrativeCritique": "Reads as a syndicated research monitor with three topic clusters (knowledge, trust, future) rather than an S→C→A→R arc — setup and analysis are present but tension and resolution are absent. The deck builds without ever landing a 'so what'.", "titleQualityScore": 28, "titleQualityCritique": "Most body titles are verbatim survey questions, not insights — e.g., p.11 'I have a good understanding of what artificial intelligence is' and p.30 'How likely, if at all, do you think it is that AI will change how you do your current job in the next five years?'. Only slide 2 carries a true action title." }, "activistThesis": null, "pitchdeck": { "metadata": null, "profile": null }, "slides": [ { "page": 1, "type": "setup", "function": "front_matter", "imagePath": "https://imgproxy.kitesheet.com/5om4wo7dQitE1NNj85VTZv-00LkALKryGEYoU52ZC6g/rs:fit:1200:1200:0/q:82/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy9jMDZiMjMzODQxMzY4OTg3L3AwMDEuanBn", "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": 99, "nDataPoints": 0, "notes": null, "elementsJson": [ "headline_text", "subtitle_text", "photo", "logo_grid" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 18:19:15.651+00", "seconds": 2.563, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e87-7479-8208-2bfe3ad2f5e5/1", "deck": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5", "deckAnchor": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5#slide-1", "deckJson": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5.json" }, "components": [ { "bbox": { "h": 0.07, "w": 0.05, "x": 0.92, "y": 0.9 }, "kind": "image", "text": "Ipsos", "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 18:19:15.651+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "b226a37a-7246-4ffb-8d93-89e11dd449f4", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.3, "x": 0.05, "y": 0.5 }, "kind": "paragraph", "text": "A 32-country Ipsos Global Advisor Survey\n\nJune 2024", "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 18:19:15.651+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "b0ed598e-a992-4b22-a3ef-cbfab88b206a", "parentComponentId": null }, { "bbox": { "h": 0.02, "w": 0.1, "x": 0.03, "y": 0.95 }, "kind": "source-note", "text": "© Ipsos AI Monitor", "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 18:19:15.651+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "006dd4f6-1f8a-4930-9f03-a3d9c76cc47a", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.4, "x": 0.05, "y": 0.2 }, "kind": "title", "text": "THE IPSOS AI MONITOR 2024", "attrs": null, "canon": { "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 18:19:15.651+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "a2efb399-17f7-456b-882c-fcfdbde7d94c", "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": "ae3f9ce2-e7b9-4d69-979e-321af3066ca1", "evidence": "THE IPSOS AI MONITOR 2024", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.9, "extraction": { "at": "2026-07-16 21:42:50.113734+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": [ { "to": 9, "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": 1, "name": "The Facts (What)", "beatId": "019dea97-a0c3-75f1-8cf7-881cfee1dcc4", "matchId": "019dea97-a09d-7447-afdb-1ecd12abe343", "beatType": null, "evidence": "Cover, contents, lead takeaway and at-a-glance summary stats.", "position": 1, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 55 } ], "loops": [], "thumbSrc": "https://imgproxy.kitesheet.com/JUZnFUR2x9S3tqwg4SzcHG3-RgXlOpObt8IQBJIw3Xo/rs:fit:480:480:0/q:78/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy9jMDZiMjMzODQxMzY4OTg3L3AwMDEuanBn", "imagePathAlt": "https://imgproxy.kitesheet.com/JHT5B3rTTk6mAhGnVScuY2CyUxXhNQTHAA3V3nu3Vmc/rs:fit:1200:1200:0/q:82/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy9jMDZiMjMzODQxMzY4OTg3L3AwMDEucG5n", "thumbSrcAlt": "https://imgproxy.kitesheet.com/C-Cpi1e7Z8joqgql4VtQ95LATbyO48irQJ8Ln9rT1q8/rs:fit:480:480:0/q:78/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy9jMDZiMjMzODQxMzY4OTg3L3AwMDEucG5n" }, { "page": 2, "type": "resolution", "title": "Includes a quote/perspective from Hamish Munro, CEO Ipsos APEC.", "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": "overcrowded", "densityScore": 84, "componentCount": 9, "textChars": 1123, "nDataPoints": 9, "notes": "Includes a quote/perspective from Hamish Munro, CEO Ipsos APEC.", "elementsJson": [ "headline_text", "paragraph", "photo" ], "confidence": 0.95, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 18:19:15.865+00", "seconds": 2.718, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e87-7479-8208-2bfe3ad2f5e5/2", "deck": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5", "deckAnchor": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5#slide-2", "deckJson": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "On average in Asia Pacific, 62% say they are excited for products and services with use AI, with China (80%), Indonesia (76%), Thailand (76%), and South Korea (73%) where interest is greatest.", "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": "2026-04-24 15:54:21+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-22ff-774c-a150-306ec9bdf098", "parentComponentId": null }, { "bbox": { "h": 0.85, "w": 0.22, "x": 0.75, "y": 0.1 }, "kind": "image", "text": "Hamish Munro, CEO Ipsos APEC", "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 18:19:15.865+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "bac8150f-0861-4642-97c3-2d1b0c33cf94", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Excitement about AI: 62%", "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": "2026-04-24 15:54:21+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-22ff-774c-a150-386b78adc697", "parentComponentId": null }, { "bbox": { "h": 0.25, "w": 0.22, "x": 0.51, "y": 0.28 }, "kind": "paragraph", "text": "People in Asia Pacific recognise the changes AI will bring. Seventy-three per cent in Asia Pacific say AI will profoundly change my life in the next 3-5 years, higher than 60% in North America and 59% in Europe.", "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 18:19:15.865+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "50412156-b69a-44d5-8d69-fcea3dc54803", "parentComponentId": null }, { "bbox": { "h": 0.4, "w": 0.22, "x": 0.05, "y": 0.28 }, "kind": "paragraph", "text": "There is no denying that the last 12 months have been huge for the technical advancement of generative AI. But how are people feeling about it? In what is now the third edition of the Ipsos AI Monitor we find it a divide...", "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 18:19:15.865+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "5a1081d3-7093-4c3d-89ac-192efc0476c1", "parentComponentId": null }, { "bbox": { "h": 0.4, "w": 0.22, "x": 0.28, "y": 0.28 }, "kind": "paragraph", "text": "On average in Asia Pacific, 62% say they are excited for products and services with use AI, with China (80%), Indonesia (76%), Thailand (76%), and South Korea (73%) where interest is greatest. At the other end of the scale...", "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 18:19:15.865+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "67070c7e-efd2-44f9-a080-e3de77a2698f", "parentComponentId": null }, { "bbox": null, "kind": "quote", "text": "We look forward to discussing with you what it all means for your country, category or industry sector. Hamish Munro, CEO Ipsos APEC", "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": "2026-04-24 15:54:21+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-22ff-774c-a150-3554bf99175e", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.1, "x": 0.05, "y": 0.95 }, "kind": "source-note", "text": "© Ipsos AI Monitor", "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 18:19:15.865+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "d35aed33-fadf-43e6-89f4-1db2d44be0cf", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.45, "x": 0.05, "y": 0.1 }, "kind": "title", "text": "Friend and foe? Asia is the most excited region about a future with AI", "attrs": null, "canon": { "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 18:19:15.865+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "d017cb83-1e19-4b4a-87fc-2979ede14b45", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Governing Thought", "slug": "governing-thought", "status": "active", "bestFor": "When the deck makes a recommendation, decision, or argues a position; when defining the top of a pyramid before structuring supports; when an SCQA opening needs an Answer; when stripping topic-style titles in favour of action titles.", "canonId": "019dd956-8286-760e-8638-77558a0d71ba", "version": 1, "bodyDocId": "06f7d5a5-daab-44c1-9d67-63c52ba03962", "description": "The single declarative sentence at the apex of a Minto pyramid that summarises and is supported by everything beneath it — the answer the deck exists to defend.", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Architect", "layer": "block", "agents": [ "Architect" ], "matchId": "019dea97-a2f8-70db-8496-9ee88d1c588c", "evidence": "'Asia is the most excited region' acts as governing thought across the deck.", "pageRefs": null, "priority": null, "whenToUse": "When the deck makes a recommendation, decision, or argues a position; when defining the top of a pyramid before structuring supports; when an SCQA opening needs an Answer; when stripping topic-style titles in favour of action titles.", "confidence": 70, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 2, "whyItWorks": "Forces the writer to commit to a position before structuring the case — exposes muddled thinking that hides safely inside topic-style headings. Gives busy readers the answer in the first cognitive beat and enables progressive disclosure of the supporting case.", "antipattern": "Topic-style headings ('Strategic options for growth', 'Considerations for Europe') instead of declarative claims with verbs. Multi-sentence apex statements. Qualifier-laden hedges. Noun-phrase labels ('Recommendation: acquisition of Target B') pretending to be sentences. Fake governing thoughts — confident apex the supports don't actually force.", "cardinality": null, "narrativePurpose": "Anchor the document in one defensible claim with a working verb, so the audience knows the answer before they read the proof and the entire structure ladders up to it." }, { "tool": { "name": "Pyramid Principle", "slug": "pyramid-principle", "status": "active", "bestFor": "When the document has a single governing decision or recommendation the reader is asked to accept, and the case can be decomposed into a small number of clean groups. Strategy decks, board memos, investment committee papers.", "canonId": "019dd956-7cbd-7219-a477-c871e2bc1aff", "version": 1, "bodyDocId": "88b6ac56-b880-46f9-8621-ef3491ab6235", "description": "Lead with the answer; group three to five MECE supports beneath it; recurse one level down. Top-down hierarchical structure for any document with a single recommendation.", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Architect", "layer": "block", "agents": [ "Architect" ], "matchId": "019dea97-a2d4-770b-bb50-c73b5f3af37b", "evidence": "Document leads with answer (p2) then evidence — top-down structure.", "pageRefs": null, "priority": "Core", "whenToUse": "When the document has a single governing decision or recommendation the reader is asked to accept, and the case can be decomposed into a small number of clean groups. Strategy decks, board memos, investment committee papers.", "confidence": 75, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 2, "whyItWorks": "Solves the two failure modes of expert communication at once: (1) the long climb where readers wait pages for the answer, and (2) logical mush from non-MECE groupings. Progressive disclosure lets a reader stop at any depth and get the right information.", "antipattern": "Chronological structure (\"what we did, what we found, what we conclude\") instead of logical hierarchy. Top-of-pyramid that is a topic (\"strategic options\") instead of an answer (\"pursue Option B because...\"). Non-MECE supports that overlap or fail to cover the universe.", "cardinality": null, "narrativePurpose": "Transfer conviction with minimum reader effort by mirroring how decision-makers consume information: answer first, scaffolding behind." }, { "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": "019dea97-a2ae-7158-acfe-8fa96064a478", "evidence": "Excited vs nervous contrast threads through the executive summary.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 80, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 2, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Reveal vs. Headline Strategy", "slug": "reveal-vs-headline-strategy", "status": "active", "bestFor": "Use whenever a deck carries a single load-bearing thesis to a defined audience: headline when the audience is senior, time-poor, scanning, or already aligned with the thesis; reveal when the thesis is contrarian, the audience needs to feel the gap before accepting the bridge, or the deck is a single-pass in-room persuasion artefact. Skip for routine KPI updates, hypothesis-tree discovery decks, or reference material with no thesis.", "canonId": "019dd956-9c8b-76fe-b6f3-c2621dbef6d3", "version": 1, "bodyDocId": "f162d89e-0423-4b27-aa7e-2fe4db1c5d57", "description": "The meta-decision at the deck-flow layer of whether to lead with the answer (headline / Minto / top-down) or earn the answer through a built arc (reveal / Sparkline / in medias res). Sequences whole sections by audience cognitive state, stakes, and thesis-direction.", "familyLabel": null, "categoryName": "Loop", "categorySlug": "loop" }, "agent": "Designer", "layer": "loop", "agents": [ "Designer" ], "matchId": "019dea97-a28a-7141-8af4-b008ac51763d", "evidence": "Loop opens with the headline answer before presenting evidence.", "pageRefs": null, "priority": null, "whenToUse": "Use whenever a deck carries a single load-bearing thesis to a defined audience: headline when the audience is senior, time-poor, scanning, or already aligned with the thesis; reveal when the thesis is contrarian, the audience needs to feel the gap before accepting the bridge, or the deck is a single-pass in-room persuasion artefact. Skip for routine KPI updates, hypothesis-tree discovery decks, or reference material with no thesis.", "confidence": 80, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 2, "whyItWorks": "The two strategies optimise for genuinely different audience starting positions — headline for speed of agreement with neutral or sympathetic audiences, reveal for depth of agreement with sceptical or invested ones. Headlining a contrarian thesis triggers reactance; revealing to a transactional audience makes them scan ahead and lose the thread. Naming the choice up front prevents the hybrid that under-performs in both rooms.", "antipattern": "The hybrid that pleases nobody — previewing the answer on slide 2 and then attempting a reveal arc. Audience has the answer so the build feels stalled; the build is there so the answer feels under-defended. Adjacent failures: chronological deck labelled reveal, reveal climax on the final slide with no call to action, and headline deck without an SCQA opening.", "cardinality": null, "narrativePurpose": "Forces the loop-layer author to commit to a single shape — headline or reveal — before sequencing slides, so cadence, slide-one job, and call-to-action placement all flow from one named choice instead of drifting into a hybrid that pleases neither scanners nor sit-forward audiences." }, { "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": "019dea97-a1cc-7339-8c01-628238419183", "evidence": "Title states the insight: 'Asia is the most excited region about a future with AI'.", "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 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 2, "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": "019dea97-a21a-72d8-98ac-6f93b16498c4", "evidence": "Hamish Munro CEO Ipsos APEC quote borrows authority.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 80, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 2, "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": "019dea97-a264-7749-8f2f-ed3435d732d1", "evidence": "Specific country numbers: China 80%, Indonesia 76%, Thailand 76%, South Korea 73%.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 75, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 2, "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": "019dea97-a240-7122-9a87-320b4ff13ed8", "evidence": "Named CEO photo and signed perspective transfers credibility.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 2, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Opening Hooks", "slug": "opening-hooks", "status": "active", "bestFor": null, "canonId": "019dd956-aeb0-77d5-bfbd-9cd9a6be8186", "version": 1, "bodyDocId": null, "description": "Techniques to capture attention: Startling statistic, provocative question, short story, analogy, contrast", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "019dea97-a1f2-703e-b97b-8087a32c33af", "evidence": "Provocative question 'Friend and foe?' opens the deck's narrative.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 2, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 9, "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": 1, "name": "The Facts (What)", "beatId": "019dea97-a0c3-75f1-8cf7-881cfee1dcc4", "matchId": "019dea97-a09d-7447-afdb-1ecd12abe343", "beatType": null, "evidence": "Cover, contents, lead takeaway and at-a-glance summary stats.", "position": 1, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 55 } ], "loops": [ { "to": 9, "from": 2, "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": "019dea97-a135-70cd-99b0-6155a1ef2063", "evidence": "p2 headline 'Asia most excited', p5 'At a glance' stat panel, p6-9 progressively unpack key findings.", "position": 1, "objective": "Lead with headline finding then cascade summary insights", "confidence": 70, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "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": 5, "componentCount": 2, "textChars": 115, "nDataPoints": 0, "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 18:19:18.44+00", "seconds": 5.16, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e87-7479-8208-2bfe3ad2f5e5/3", "deck": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5", "deckAnchor": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5#slide-3", "deckJson": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5.json" }, "components": [ { "bbox": { "h": 0.556, "w": 0.486, "x": 0.036, "y": 0.239 }, "kind": "list", "text": "1 Talking Points\n2 What people know about AI\n3 Trust in AI\n4 Expectations of AI in the future\n5 Methodology", "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 18:19:18.44+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "8865c221-9cf7-431b-b983-919559205df1", "parentComponentId": null }, { "bbox": { "h": 0.083, "w": 0.255, "x": 0.036, "y": 0.111 }, "kind": "title", "text": "CONTENTS", "attrs": null, "canon": { "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 18:19:18.44+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "ec76eefc-97be-4c3e-b6a0-590a8f903a3e", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 9, "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": 1, "name": "The Facts (What)", "beatId": "019dea97-a0c3-75f1-8cf7-881cfee1dcc4", "matchId": "019dea97-a09d-7447-afdb-1ecd12abe343", "beatType": null, "evidence": "Cover, contents, lead takeaway and at-a-glance summary stats.", "position": 1, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 55 } ], "loops": [ { "to": 9, "from": 2, "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": "019dea97-a135-70cd-99b0-6155a1ef2063", "evidence": "p2 headline 'Asia most excited', p5 'At a glance' stat panel, p6-9 progressively unpack key findings.", "position": 1, "objective": "Lead with headline finding then cascade summary insights", "confidence": 70, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 4, "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": 6, "componentCount": 3, "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 18:19:15.714+00", "seconds": 1.879, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e87-7479-8208-2bfe3ad2f5e5/4", "deck": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5", "deckAnchor": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5#slide-4", "deckJson": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5.json" }, "components": [ { "bbox": { "h": 0.065, "w": 0.038, "x": 0.922, "y": 0.898 }, "kind": "image", "text": "Ipsos", "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 18:19:15.714+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "85ab0703-3954-4262-800f-d9565f272e6e", "parentComponentId": null }, { "bbox": { "h": 0.015, "w": 0.105, "x": 0.035, "y": 0.948 }, "kind": "paragraph", "text": "© Ipsos AI Monitor", "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 18:19:15.714+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "d4b46855-6334-43c4-b5bc-d50f17717156", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.325, "x": 0.035, "y": 0.205 }, "kind": "title", "text": "Talking points", "attrs": null, "canon": { "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 18:19:15.714+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "0bdbdf3a-ce3d-4f49-82d0-5d0bc5c9b575", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 9, "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": 1, "name": "The Facts (What)", "beatId": "019dea97-a0c3-75f1-8cf7-881cfee1dcc4", "matchId": "019dea97-a09d-7447-afdb-1ecd12abe343", "beatType": null, "evidence": "Cover, contents, lead takeaway and at-a-glance summary stats.", "position": 1, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 55 } ], "loops": [ { "to": 9, "from": 2, "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": "019dea97-a135-70cd-99b0-6155a1ef2063", "evidence": "p2 headline 'Asia most excited', p5 'At a glance' stat panel, p6-9 progressively unpack key findings.", "position": 1, "objective": "Lead with headline finding then cascade summary insights", "confidence": 70, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 5, "type": "setup", "title": "Slide presents six distinct data points summarizing Ipsos AI Monitor findings.", "function": "summarize", "rawType": "executive_summary", "block": null, "metadata": { "slideType": "executive_summary", "slideTypeCanon": { "name": "Executive summary", "slug": "executive_summary", "status": "active", "canonId": "019de52d-06be-73ff-81b3-f99fe7f0025e", "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": 85, "componentCount": 16, "textChars": 757, "nDataPoints": 8, "notes": "Slide presents six distinct data points summarizing Ipsos AI Monitor findings.", "elementsJson": [ "headline_text", "big_number", "donut_chart", "paragraph", "icon_grid" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 18:19:18.063+00", "seconds": 4.193, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e87-7479-8208-2bfe3ad2f5e5/5", "deck": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5", "deckAnchor": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5#slide-5", "deckJson": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5.json" }, "components": [ { "bbox": { "h": 0.15, "w": 0.15, "x": 0.04, "y": 0.57 }, "kind": "chart", "text": "Donut chart representing 53%", "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 18:19:18.063+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "36a1b65a-31cc-42b3-8fb3-f81583474cd2", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.15, "x": 0.04, "y": 0.22 }, "kind": "chart", "text": "Donut chart representing 67%", "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 18:19:18.063+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "a1d03ad2-f424-4d6e-be06-2f792d41b318", "parentComponentId": null }, { "bbox": { "h": 0.045, "w": 0.085, "x": 0.212, "y": 0.265 }, "kind": "metric", "text": "67%", "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 18:19:18.063+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "3f7c6e4f-c014-4a6a-9995-75e931bc186e", "parentComponentId": null }, { "bbox": { "h": 0.045, "w": 0.085, "x": 0.741, "y": 0.235 }, "kind": "metric", "text": "66%", "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 18:19:18.063+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "43210878-19d0-40e5-b0ae-f6bb0a2ca350", "parentComponentId": null }, { "bbox": { "h": 0.045, "w": 0.05, "x": 0.471, "y": 0.265 }, "kind": "metric", "text": "29", "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 18:19:18.063+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "545b7c83-08cb-4cac-b600-6293a1d17ee4", "parentComponentId": null }, { "bbox": { "h": 0.045, "w": 0.085, "x": 0.741, "y": 0.595 }, "kind": "metric", "text": "46%", "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 18:19:18.063+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "6e04e585-c437-4e2b-a6b5-b4dcdc28884a", "parentComponentId": null }, { "bbox": { "h": 0.045, "w": 0.085, "x": 0.468, "y": 0.595 }, "kind": "metric", "text": "41%", "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 18:19:18.063+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "e58a0f8e-b936-4fcf-bcd6-fbccc8538a51", "parentComponentId": null }, { "bbox": { "h": 0.045, "w": 0.085, "x": 0.212, "y": 0.645 }, "kind": "metric", "text": "53%", "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 18:19:18.063+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "ffa8c598-39d4-48cf-98a3-6543fc7bad99", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Consumer sentiment on AI: 67%", "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": "2026-04-24 15:54:21+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-22ff-774c-a150-178279c569b0", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.2, "x": 0.471, "y": 0.34 }, "kind": "paragraph", "text": "In 29 of the 32 countries surveyed people believe AI is less likely to discriminate than humans are.", "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 18:19:18.063+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "2e598a01-08b1-4a5a-bacd-da35aa3f3e57", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.2, "x": 0.741, "y": 0.69 }, "kind": "paragraph", "text": "of Gen Z think AI will replace their job in the next five years compared to 40% of Millennials, 31% of Gen X, and 26% of Baby Boomers.", "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 18:19:18.063+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "32babdd1-ffab-41f0-a29d-b3e6aed59fe9", "parentComponentId": null }, { "bbox": { "h": 0.06, "w": 0.2, "x": 0.212, "y": 0.72 }, "kind": "paragraph", "text": "say they are excited for products and services that use AI. However, 50% say AI makes them nervous.", "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 18:19:18.063+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "5762912b-bd21-420b-ae33-6ca7004212ae", "parentComponentId": null }, { "bbox": { "h": 0.06, "w": 0.2, "x": 0.468, "y": 0.69 }, "kind": "paragraph", "text": "disagree with the statement \"I trust that companies that use AI will protect my personal 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 18:19:18.063+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "9574cf3a-38c4-4bad-8b8f-6f9f9ed4905e", "parentComponentId": null }, { "bbox": { "h": 0.06, "w": 0.2, "x": 0.741, "y": 0.335 }, "kind": "paragraph", "text": "say AI will profoundly change their daily life in the next 3-5 years. While 50% say it already has.", "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 18:19:18.063+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "aac7cfc2-442b-436f-97c7-b4f527b91eeb", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.2, "x": 0.212, "y": 0.34 }, "kind": "paragraph", "text": "across 32 countries say they have a good understanding of AI is, but only 52% know what products and services use it.", "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 18:19:18.063+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "c6c7bca6-2ff3-4aef-83c0-20ca1371c350", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.18, "x": 0.037, "y": 0.105 }, "kind": "title", "text": "At a glance", "attrs": null, "canon": { "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 18:19:18.063+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "068dc2b5-ac86-40d6-bb90-7576c97f0a47", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Cognitive Load", "slug": "cognitive-load", "status": "active", "bestFor": null, "canonId": "019dd956-94f5-73dd-8446-ab3f7941bee7", "version": 1, "bodyDocId": null, "description": "Total mental effort required to process information - minimize unnecessary complexity", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Architect", "layer": "block", "agents": [ "Architect" ], "matchId": "019dea97-a3fd-765b-aa8c-78f7cf516d1e", "evidence": "Each stat reduced to a single number plus one sentence.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 5, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Miller's Law", "slug": "millers-law", "status": "active", "bestFor": null, "canonId": "019dd956-9552-72f9-b76a-78512cb25d46", "version": 1, "bodyDocId": null, "description": "Users can hold 7±2 items in working memory - structure content accordingly", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Architect", "layer": "block", "agents": [ "Architect" ], "matchId": "019dea97-a3d8-715b-9ca1-a4c883614132", "evidence": "Six chunked stat panels stay near 7±2 working-memory limit.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 5, "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": "019dea97-a38c-73df-915e-06dd1af835be", "evidence": "Restrained dark-teal palette emphasizes white stat numbers.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 75, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 5, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Executive summary", "slug": "executive-summary", "status": "active", "bestFor": null, "canonId": "019dd9e1-4b63-72d5-9734-da757d91ca61", "version": 1, "bodyDocId": null, "description": "A condensed view of the entire argument on a single slide / block.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "e9d4e251-ba25-4953-9ba1-f4802f27de94", "evidence": "At a glance", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.8, "extraction": { "at": "2026-07-16 21:42:50.32426+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 5, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null }, { "tool": { "name": "Grid System", "slug": "grid-system", "status": "active", "bestFor": null, "canonId": "019dd956-b745-710f-8b70-825c603b1163", "version": 1, "bodyDocId": null, "description": "Aligning elements to invisible grid for visual harmony", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "019dea97-a3b0-7659-8291-47b7c282ab05", "evidence": "Six stat panels aligned to a 2x3 grid.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 75, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 5, "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": "019dea97-a31d-7014-9d15-5870882b60cc", "evidence": "Each stat paired with an icon (phone, check, globe, dial, briefcase).", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 80, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 5, "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": "019dea97-a367-7761-ab04-08a97f4bf254", "evidence": "Number > label sized for instant scan; six panels in 2x3 grid.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 85, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 5, "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": "019dea97-a342-717c-911e-57b65eb76589", "evidence": "Large white percentages on dark teal stand out as focal points.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 80, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 5, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 9, "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": 1, "name": "The Facts (What)", "beatId": "019dea97-a0c3-75f1-8cf7-881cfee1dcc4", "matchId": "019dea97-a09d-7447-afdb-1ecd12abe343", "beatType": null, "evidence": "Cover, contents, lead takeaway and at-a-glance summary stats.", "position": 1, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 55 } ], "loops": [ { "to": 9, "from": 2, "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": "019dea97-a135-70cd-99b0-6155a1ef2063", "evidence": "p2 headline 'Asia most excited', p5 'At a glance' stat panel, p6-9 progressively unpack key findings.", "position": 1, "objective": "Lead with headline finding then cascade summary insights", "confidence": 70, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "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": "overcrowded", "densityScore": 85, "componentCount": 9, "textChars": 1099, "nDataPoints": 12, "notes": null, "elementsJson": [ "headline_text", "icon_grid", "paragraph" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 18:19:21.883+00", "seconds": 8.001, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e87-7479-8208-2bfe3ad2f5e5/6", "deck": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5", "deckAnchor": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5#slide-6", "deckJson": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "People are both excited by and large are both excited by and nervous about AI.", "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": "2026-04-24 15:54:22+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-22ff-774c-a150-79ccb886f0a0", "parentComponentId": null }, { "bbox": { "h": 0.188, "w": 0.222, "x": 0.111, "y": 0.238 }, "kind": "list", "text": "People are both excited by and nervous about AI. Fifty-three per cent say they are excited for products and services that use AI, compared to 50% who say AI makes them nervous.", "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 18:19:21.883+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "294c63e0-a0bd-41bd-ac74-f4d0fda10ff8", "parentComponentId": null }, { "bbox": { "h": 0.188, "w": 0.222, "x": 0.111, "y": 0.575 }, "kind": "list", "text": "Humans are viewed as more likely to discriminate than AI. In 29 out of the 32 countries surveyed more people think humans are more likely to discriminate against other people than AI is.", "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 18:19:21.883+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "3df2aa0e-ea5c-4f85-9989-244f42c1e378", "parentComponentId": null }, { "bbox": { "h": 0.188, "w": 0.222, "x": 0.428, "y": 0.575 }, "kind": "list", "text": "AI expected to make disinformation worse. Thirty-seven per cent on average think AI will make disinformation on the internet worse, while 30% think it will be better.", "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 18:19:21.883+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "953cbb25-f898-4fe4-9b46-b56d41424b0a", "parentComponentId": null }, { "bbox": { "h": 0.188, "w": 0.222, "x": 0.746, "y": 0.575 }, "kind": "list", "text": "People more likely to think AI will make their job better. Thirty-seven per cent think AI will make their job better compared to 16% who say it will get worse.", "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 18:19:21.883+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "9adea44e-c268-4b07-987e-d2d4c4583664", "parentComponentId": null }, { "bbox": { "h": 0.188, "w": 0.222, "x": 0.746, "y": 0.238 }, "kind": "list", "text": "However, fewer know what products and services use AI. Fifty-two per cent say they know what products and services use AI.", "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 18:19:21.883+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "a8935309-a74b-46ec-835f-4ebf65375fa6", "parentComponentId": null }, { "bbox": { "h": 0.188, "w": 0.222, "x": 0.428, "y": 0.238 }, "kind": "list", "text": "Knowledge about AI highest among the young. Sixty-seven per cent across 32 countries say they have a good understanding of AI. This rises to 72% for Gen Z and 71% for Millennials.", "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 18:19:21.883+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "e045847a-e26b-4fd4-a03d-d6d5ee733857", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Public sentiment: 53%", "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": "2026-04-24 15:54:22+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-22ff-774c-a150-7f705b6915e9", "parentComponentId": null }, { "bbox": { "h": 0.048, "w": 0.196, "x": 0.036, "y": 0.106 }, "kind": "title", "text": "Key findings", "attrs": null, "canon": { "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 18:19:21.883+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "2dafd87a-12a4-424a-8333-4c559eb8acb4", "parentComponentId": null } ], "metrics": [], "tools": [ { "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": "019dea97-a447-74db-9517-c75554273f09", "evidence": "Highlighted callout sits over the six-finding list.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 80, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 6, "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": "019dea97-a422-76e7-9336-d8e55a3a849b", "evidence": "Callout 'People are both excited and nervous about AI' states the so-what.", "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": 75, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 6, "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": "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": "019dea97-a46e-76f1-9fcd-9957f889f081", "evidence": "Ordered list of six findings with bolded leads.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 6, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 9, "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": 1, "name": "The Facts (What)", "beatId": "019dea97-a0c3-75f1-8cf7-881cfee1dcc4", "matchId": "019dea97-a09d-7447-afdb-1ecd12abe343", "beatType": null, "evidence": "Cover, contents, lead takeaway and at-a-glance summary stats.", "position": 1, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 55 } ], "loops": [ { "to": 9, "from": 2, "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": "019dea97-a135-70cd-99b0-6155a1ef2063", "evidence": "p2 headline 'Asia most excited', p5 'At a glance' stat panel, p6-9 progressively unpack key findings.", "position": 1, "objective": "Lead with headline finding then cascade summary insights", "confidence": 70, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 7, "type": "resolution", "title": "The slide uses a three-column layout to present key findings from an Ipsos AI Monitor survey.", "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": "dense", "densityScore": 64, "componentCount": 7, "textChars": 631, "nDataPoints": 12, "notes": "The slide uses a three-column layout to present key findings from an Ipsos AI Monitor survey.", "elementsJson": [ "headline_text", "icon_grid", "paragraph" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 18:19:17.117+00", "seconds": 3.163, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e87-7479-8208-2bfe3ad2f5e5/7", "deck": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5", "deckAnchor": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5#slide-7", "deckJson": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "People are split over when AI is something to be excited about or nervous.", "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": "2026-04-24 15:54:21+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-22ff-774c-a150-4eefe3417c78", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.9, "x": 0.05, "y": 0.2 }, "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": "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 18:19:17.117+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "c956bc5a-69bf-4600-86b0-aba666733ec1", "parentComponentId": null }, { "bbox": { "h": 0.5, "w": 0.28, "x": 0.36, "y": 0.3 }, "kind": "list", "text": "What uses AI: 52% say they know what products use AI. Highest in China (81%), Indonesia (80%), Thailand (69%). Lowest in Canada (36%), Netherlands/Belgium (37%).", "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 18:19:17.117+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "a9d125c5-d3a9-4908-9abe-2a12bb432aa7", "parentComponentId": null }, { "bbox": { "h": 0.5, "w": 0.28, "x": 0.05, "y": 0.3 }, "kind": "list", "text": "Understanding of AI: 67% across 32 countries say they have a good understanding. Highest in Indonesia (86%) and Mexico (80%). Gen Z (72%) and Millennials (71%) higher than Boomers (58%).", "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 18:19:17.117+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "ad1cb8fc-a51e-4113-b33b-86582b2929fa", "parentComponentId": null }, { "bbox": { "h": 0.5, "w": 0.28, "x": 0.67, "y": 0.3 }, "kind": "list", "text": "Excited v nervous: 50% nervous, 53% excited. Asia shows highest excitement. English-speaking world and Europe are more skeptical and split on benefits vs drawbacks.", "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 18:19:17.117+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "f726bdd9-d09f-46ce-834c-fac523e7468f", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "AI understanding: 67%", "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": "2026-04-24 15:54:21+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-22ff-774c-a150-528d17765367", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.3, "x": 0.05, "y": 0.08 }, "kind": "title", "text": "What people know about AI", "attrs": null, "canon": { "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 18:19:17.117+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "6c80cfca-1bdd-46e3-8ee8-6e70c4f23ada", "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": "019dea97-a54a-740c-bf31-14d5bbdda55d", "evidence": "Knowledge / Trust / Future are mutually exclusive thematic buckets.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 7, "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": "019dea97-a527-770a-8db1-7fe30306f6a2", "evidence": "Three columns per summary slide; deck has three thematic sections.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 80, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 7, "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": "019dea97-a503-73db-976e-f17aa3d4dce9", "evidence": "Executive summary structured into three thematic pillars repeated p7-9.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 80, "extraction": { "at": "2026-05-02 21:28:18.637643+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": "019dea97-a494-76ef-a739-a421ac790976", "evidence": "Bolded sub-headers state insights, e.g., 'People are split over...'.", "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 21:28:18.637643+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": "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": "019dea97-a4b9-760f-b43c-346ccf67506d", "evidence": "Each column anchored by a thematic icon.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 80, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 7, "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": "019dea97-a4dd-7585-b5ed-26a3c1ce2faf", "evidence": "Three-column layout with consistent type ramp.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 75, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 7, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 9, "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": 1, "name": "The Facts (What)", "beatId": "019dea97-a0c3-75f1-8cf7-881cfee1dcc4", "matchId": "019dea97-a09d-7447-afdb-1ecd12abe343", "beatType": null, "evidence": "Cover, contents, lead takeaway and at-a-glance summary stats.", "position": 1, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 55 } ], "loops": [ { "to": 9, "from": 2, "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": "019dea97-a135-70cd-99b0-6155a1ef2063", "evidence": "p2 headline 'Asia most excited', p5 'At a glance' stat panel, p6-9 progressively unpack key findings.", "position": 1, "objective": "Lead with headline finding then cascade summary insights", "confidence": 70, "extraction": { "at": "2026-05-02 21:28:18.637643+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": "dense", "densityScore": 57, "componentCount": 6, "textChars": 692, "nDataPoints": 8, "notes": null, "elementsJson": [ "headline_text", "icon_grid", "paragraph" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 18:19:17.393+00", "seconds": 2.944, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e87-7479-8208-2bfe3ad2f5e5/8", "deck": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5", "deckAnchor": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5#slide-8", "deckJson": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5.json" }, "components": [ { "bbox": { "h": 0.05, "w": 0.03, "x": 0.275, "y": 0.25 }, "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": "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 18:19:17.393+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "f41bc07e-b9d0-4086-8cd3-92f68debb1a1", "parentComponentId": null }, { "bbox": { "h": 0.55, "w": 0.29, "x": 0.666, "y": 0.305 }, "kind": "list", "text": "Trust and generations. Younger generations are more likely to trust AI. Baby boomers are less trusting. Gen Z 59% trust AI against discriminating. 49% of Gen Z and 51% of Millennials trust companies to protect personal 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": "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 18:19:17.393+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "4cfb9da7-4978-41bf-ad9d-ad02cddbae03", "parentComponentId": null }, { "bbox": { "h": 0.55, "w": 0.29, "x": 0.351, "y": 0.305 }, "kind": "list", "text": "AI and discrimination. Humans are viewed as more likely to discriminate than AI. In 29 of 32 countries, people think humans are more likely to discriminate. Ireland is the only country where people trust people more than AI.", "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 18:19:17.393+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "67d5bf71-768c-4c16-9f27-34855b214040", "parentComponentId": null }, { "bbox": { "h": 0.55, "w": 0.29, "x": 0.036, "y": 0.305 }, "kind": "list", "text": "Is my personal data safe? People are unsure whether their personal data is safe with AI. 41% think it will not be safe vs 47% who do. In 15 of 32 countries, people think it is safe. 28% of Canadians think it is safe.", "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 18:19:17.393+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "cdb4b55c-bd82-4b98-b2f6-a9157700e73d", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Trust in AI: 59%", "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": "2026-04-24 15:54:22+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-22ff-774c-a150-937a1145f457", "parentComponentId": null }, { "bbox": { "h": 0.048, "w": 0.187, "x": 0.036, "y": 0.105 }, "kind": "title", "text": "AI and trust", "attrs": null, "canon": { "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 18:19:17.393+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "04435da9-5d9b-4c65-bf62-879b06b3af95", "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": "019dea97-a570-7331-be6a-bbf4ac145720", "evidence": "Bolded statements lead each column with insight phrasing.", "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": 70, "extraction": { "at": "2026-05-02 21:28:18.637643+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": "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": "019dea97-a595-71a3-9982-3f9b3b0ee6f0", "evidence": "Icons anchor each of the three trust themes.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 80, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 8, "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": "019dea97-a5bb-7539-ba9c-345c63e5ea26", "evidence": "Three-column rhythm matches p7 / p9.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 75, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 8, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 9, "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": 1, "name": "The Facts (What)", "beatId": "019dea97-a0c3-75f1-8cf7-881cfee1dcc4", "matchId": "019dea97-a09d-7447-afdb-1ecd12abe343", "beatType": null, "evidence": "Cover, contents, lead takeaway and at-a-glance summary stats.", "position": 1, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 55 } ], "loops": [ { "to": 9, "from": 2, "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": "019dea97-a135-70cd-99b0-6155a1ef2063", "evidence": "p2 headline 'Asia most excited', p5 'At a glance' stat panel, p6-9 progressively unpack key findings.", "position": 1, "objective": "Lead with headline finding then cascade summary insights", "confidence": 70, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 9, "type": "analysis", "title": "Slide contains three distinct thematic columns with icons.", "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": 74, "componentCount": 8, "textChars": 715, "nDataPoints": 14, "notes": "Slide contains three distinct thematic columns with icons.", "elementsJson": [ "headline_text", "icon_grid", "paragraph" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 18:19:22.013+00", "seconds": 7.498, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e87-7479-8208-2bfe3ad2f5e5/9", "deck": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5", "deckAnchor": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5#slide-9", "deckJson": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5.json" }, "components": [ { "bbox": { "h": 0.05, "w": 0.03, "x": 0.59, "y": 0.25 }, "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": "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 18:19:22.013+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "2c610d00-c7a1-42f0-8bf0-5501618b9cf0", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.03, "x": 0.91, "y": 0.25 }, "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": "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 18:19:22.013+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "e84f93c5-6c7b-4fc0-9594-c8e452c0bb74", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.03, "x": 0.28, "y": 0.25 }, "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": "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 18:19:22.013+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "ed08067a-7554-484f-8d63-2400aa8e1666", "parentComponentId": null }, { "bbox": { "h": 0.6, "w": 0.3, "x": 0.05, "y": 0.25 }, "kind": "list", "text": "Will AI change my life? While 50% say AI has already changed their life, 66% say it will impact their future. China and Indonesia (78% and 73% respectively) are the most likely to think AI has already changed their lives.", "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 18:19:22.013+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "3f08d3a7-5a0e-4313-afd5-e16f73e6d37d", "parentComponentId": null }, { "bbox": { "h": 0.6, "w": 0.3, "x": 0.67, "y": 0.25 }, "kind": "list", "text": "Young people's jobs at risk? Gen Z, many of whom in are their 20s, are most worried about the future of work. Almost one in two Gen Z (46%) say it is likely AI will replace their current job in the next five years.", "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 18:19:22.013+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "42a1b9a4-b49c-4cbb-8750-dda9c812c6ef", "parentComponentId": null }, { "bbox": { "h": 0.6, "w": 0.3, "x": 0.36, "y": 0.25 }, "kind": "list", "text": "AI and jobs. Sixty per cent of people across 32 countries say AI will change their job in the next five years. Indonesia (87%), Thailand (81%) and China (80%) are the most likely to say AI will change how you do your job.", "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 18:19:22.013+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "c8a55cfc-17a2-402b-8a81-af16e6d74161", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Percentage of population: 66%", "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": "2026-04-24 15:54:21+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-22ff-774c-a150-678db5e6d77a", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.4, "x": 0.05, "y": 0.08 }, "kind": "title", "text": "AI expectations for the future", "attrs": null, "canon": { "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 18:19:22.013+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "bc39a52a-7f31-4e26-bb31-5c999848a7dd", "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": "019dea97-a5df-707b-9d19-ab20a57034e7", "evidence": "Bold headers: 'While 50% say AI has already changed their life, 66% say it will impact their future'.", "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 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 9, "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": "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": "019dea97-a64e-728d-ac29-66a90450c9ed", "evidence": "Specific country/generation percentages cited (Indonesia 87%, Gen Z 46%).", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 75, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 9, "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": "019dea97-a604-755c-a245-b10b4fd1a782", "evidence": "Globe, briefcase, ID-card icons anchor the three columns.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 80, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 9, "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": "019dea97-a628-72e7-85b4-051786e53e71", "evidence": "Question subhead + bold action title + supporting paragraph.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 75, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 9, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 9, "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": 1, "name": "The Facts (What)", "beatId": "019dea97-a0c3-75f1-8cf7-881cfee1dcc4", "matchId": "019dea97-a09d-7447-afdb-1ecd12abe343", "beatType": null, "evidence": "Cover, contents, lead takeaway and at-a-glance summary stats.", "position": 1, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 55 } ], "loops": [ { "to": 9, "from": 2, "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": "019dea97-a135-70cd-99b0-6155a1ef2063", "evidence": "p2 headline 'Asia most excited', p5 'At a glance' stat panel, p6-9 progressively unpack key findings.", "position": 1, "objective": "Lead with headline finding then cascade summary insights", "confidence": 70, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 10, "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": 7, "componentCount": 3, "textChars": 70, "nDataPoints": 0, "notes": null, "elementsJson": [ "headline_text", "photo" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 18:19:16.512+00", "seconds": 1.963, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e87-7479-8208-2bfe3ad2f5e5/10", "deck": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5", "deckAnchor": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5#slide-10", "deckJson": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5.json" }, "components": [ { "bbox": { "h": 1, "w": 0.6, "x": 0.4, "y": 0 }, "kind": "image", "text": "Person holding a smartphone", "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 18:19:16.512+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "69e44509-89cb-4a11-8042-8497b7e4b144", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.1, "x": 0.03, "y": 0.95 }, "kind": "source-note", "text": "© Ipsos AI Monitor", "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 18:19:16.512+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "de8fabc3-108e-4fb6-af96-912351a2d3cd", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.4, "x": 0.05, "y": 0.2 }, "kind": "title", "text": "What people know about AI", "attrs": null, "canon": { "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 18:19:16.512+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "f8ce6c6f-c38a-40b3-87ee-3af7d7a4130d", "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": "30b19699-4db4-4286-9835-e4fdc5c445a2", "evidence": "The slide type is explicitly labeled as 'section_divider', and the content clearly separates topics.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.9, "extraction": { "at": "2026-07-17 03:19:17.805193+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 10, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 40, "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": 10, "name": "The Implications (So What)", "beatId": "019dea97-a0e9-7179-9519-a7ed034a31d3", "matchId": "019dea97-a09d-7447-afdb-1ecd12abe343", "beatType": null, "evidence": "Three thematic sections: Knowledge, Trust, Future impact across countries and generations.", "position": 2, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 55 } ], "loops": [], "locked": true }, { "page": 11, "type": "analysis", "title": "Base: 23,685 online adults under age 75 across 32 countries, interviewed April 19 – May 3, 2024", "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": 32, "componentCount": 4, "textChars": 324, "nDataPoints": 96, "notes": "Base: 23,685 online adults under age 75 across 32 countries, interviewed April 19 – May 3, 2024", "elementsJson": [ "bar_chart_stacked", "data_table" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 18:19:17.176+00", "seconds": 2.578, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e87-7479-8208-2bfe3ad2f5e5/11", "deck": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5", "deckAnchor": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5#slide-11", "deckJson": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5.json" }, "components": [ { "bbox": { "h": 0.85, "w": 0.65, "x": 0.28, "y": 0.05 }, "kind": "chart", "text": "Stacked bar chart showing Agree (dark blue) and Disagree (light blue) percentages by country.", "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 18:19:17.176+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "81e0b609-c5bf-444e-a34c-8e9bd2e4d9a9", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.2, "x": 0.05, "y": 0.8 }, "kind": "disclaimer", "text": "Base: 23,685 online adults under age 75 across 32 countries, interviewed April 19 – May 3, 2024", "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 18:19:17.176+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "2d66b17e-0cd0-439a-b11f-529f036b1657", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Agreement level: 67%", "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": "2026-04-24 15:54:22+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-22ff-774c-a150-b12e370a8166", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.2, "x": 0.05, "y": 0.1 }, "kind": "title", "text": "How much do you agree or disagree with the following? I have a good understanding of what artificial intelligence is", "attrs": null, "canon": { "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 18:19:17.176+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "7631ed16-92e7-4afc-ae37-c23af685c1b4", "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": "019dea97-a703-777c-b205-17fd7efc9228", "evidence": "Excited vs Nervous, Agree vs Disagree contrasts thread through p15-17.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 80, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 11, "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": "019dea97-a6df-73bf-9055-0f447f776b86", "evidence": "Loop accumulates four agreement charts to build a sentiment pattern.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 11, "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": "019dea97-a696-7444-ac68-dd06245e1ea0", "evidence": "Horizontal stacked bars suit ranked country comparison.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 11, "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": "019dea97-a672-715d-a44d-4689fce3f52c", "evidence": "Two-tone dark/light blue distinguishes Agree vs Disagree across all charts.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 80, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 11, "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": "019dea97-a6ba-750f-919d-c575198cc983", "evidence": "Minimal gridlines, no 3D, percentages in-bar.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 65, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 11, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 40, "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": 10, "name": "The Implications (So What)", "beatId": "019dea97-a0e9-7179-9519-a7ed034a31d3", "matchId": "019dea97-a09d-7447-afdb-1ecd12abe343", "beatType": null, "evidence": "Three thematic sections: Knowledge, Trust, Future impact across countries and generations.", "position": 2, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 55 } ], "loops": [ { "to": 18, "from": 11, "loop": { "name": "34_segmentation_split", "slug": "34-segmentation-split", "status": "active", "bestFor": "Customer analysis, market research, resource allocation", "canonId": "019dd956-7398-77a8-9a5f-2e4d39589f42", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Aggregate View -> Segment A Behavior -> Segment B Behavior -> The Insight in the Difference", "description": "Divide a whole into meaningful segments to reveal hidden patterns", "familyLabel": null }, "matchId": "019dea97-a15b-7641-b401-8cf80a4eb2a4", "evidence": "p11/13/15/16/18 break agreement by 32 countries; p12/14 compare 4 generations 2023 vs 2024; p17 plots regional clusters.", "position": 2, "objective": "Show how AI knowledge and sentiment split by country and generation", "confidence": 75, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 12, "type": "analysis", "title": "Base: 23,685 online adults under age 75 across 32 countries, interviewed April 19 – May 3, 2024", "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": 30, "componentCount": 4, "textChars": 363, "nDataPoints": 8, "notes": "Base: 23,685 online adults under age 75 across 32 countries, interviewed April 19 – May 3, 2024", "elementsJson": [ "bar_chart_grouped" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 18:19:16.926+00", "seconds": 2.071, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e87-7479-8208-2bfe3ad2f5e5/12", "deck": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5", "deckAnchor": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5#slide-12", "deckJson": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5.json" }, "components": [ { "bbox": { "h": 0.8, "w": 0.65, "x": 0.3, "y": 0.08 }, "kind": "chart", "text": "Grouped bar chart showing AI understanding by generation (Gen Z, Millennials, Gen X, Baby Boomers) for 2023 and 2024.", "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 18:19:16.926+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "8607f82d-f13f-468c-9393-7e0f399b17c5", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Self-reported AI understanding: 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": "2026-04-24 15:54:24+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-22ff-774c-a151-43021bad48a4", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.23, "x": 0.05, "y": 0.8 }, "kind": "source-note", "text": "Base: 23,685 online adults under age 75 across 32 countries, interviewed April 19 – May 3, 2024", "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 18:19:16.926+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "2ace4e5b-cce8-49cf-a98d-d2023f818483", "parentComponentId": null }, { "bbox": { "h": 0.25, "w": 0.23, "x": 0.05, "y": 0.1 }, "kind": "title", "text": "How much do you agree or disagree with the following? I have a good understanding of what artificial intelligence is", "attrs": null, "canon": { "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 18:19:16.926+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "7b9b0218-dd77-4c2b-be7f-d05c1ac2303d", "parentComponentId": null } ], "metrics": [], "tools": [ { "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": "019dea97-a74c-75ec-abf4-e55d0b30768f", "evidence": "Year labels and delta annotations on bar pairs.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 12, "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": "019dea97-a76f-7332-b1a4-bbd2f401f73f", "evidence": "Consistent two-tone palette signals year comparison.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 12, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "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": "019dea97-a727-774d-8756-20d0d9cd8ac2", "evidence": "Side-by-side 2023 vs 2024 bars repeated across four generations.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 75, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 12, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 40, "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": 10, "name": "The Implications (So What)", "beatId": "019dea97-a0e9-7179-9519-a7ed034a31d3", "matchId": "019dea97-a09d-7447-afdb-1ecd12abe343", "beatType": null, "evidence": "Three thematic sections: Knowledge, Trust, Future impact across countries and generations.", "position": 2, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 55 } ], "loops": [ { "to": 18, "from": 11, "loop": { "name": "34_segmentation_split", "slug": "34-segmentation-split", "status": "active", "bestFor": "Customer analysis, market research, resource allocation", "canonId": "019dd956-7398-77a8-9a5f-2e4d39589f42", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Aggregate View -> Segment A Behavior -> Segment B Behavior -> The Insight in the Difference", "description": "Divide a whole into meaningful segments to reveal hidden patterns", "familyLabel": null }, "matchId": "019dea97-a15b-7641-b401-8cf80a4eb2a4", "evidence": "p11/13/15/16/18 break agreement by 32 countries; p12/14 compare 4 generations 2023 vs 2024; p17 plots regional clusters.", "position": 2, "objective": "Show how AI knowledge and sentiment split by country and generation", "confidence": 75, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 13, "type": "analysis", "title": "The chart displays 'Agree' percentages in dark blue bars and 'Disagree' percentages in light blue bars, sorted by agreement level.", "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": 31, "componentCount": 4, "textChars": 304, "nDataPoints": 96, "notes": "The chart displays 'Agree' percentages in dark blue bars and 'Disagree' percentages in light blue bars, sorted by agreement level.", "elementsJson": [ "bar_chart_stacked", "data_table" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 18:19:17.159+00", "seconds": 2.107, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e87-7479-8208-2bfe3ad2f5e5/13", "deck": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5", "deckAnchor": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5#slide-13", "deckJson": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5.json" }, "components": [ { "bbox": { "h": 0.85, "w": 0.65, "x": 0.28, "y": 0.05 }, "kind": "chart", "text": "Global consumer agreement levels on AI knowledge by country", "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 18:19:17.159+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "10277167-5c5b-4746-a7d5-fb6788ee8dff", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.2, "x": 0.05, "y": 0.8 }, "kind": "disclaimer", "text": "Base: 23,685 online adults under age 75 across 32 countries, interviewed April 19 – May 3, 2024", "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 18:19:17.159+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "89388dfb-b75a-4854-949c-01928ce64052", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Agreement percentage: 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": "2026-04-24 15:54:24+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-22ff-774c-a151-15b073e3e26b", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.2, "x": 0.05, "y": 0.1 }, "kind": "title", "text": "How much do you agree or disagree with the following? I know which types of products and services use artificial intelligence", "attrs": null, "canon": { "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 18:19:17.159+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "bec78989-6a15-43a2-927e-027b0b7a2bd4", "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": "019dea97-a7b9-73d2-a6a7-17276b3fed16", "evidence": "Horizontal stacked bar ranks countries on awareness.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 13, "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": "019dea97-a794-7506-8a6d-f6edd31dafa5", "evidence": "Same Agree/Disagree palette as p11.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 80, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 13, "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": "019dea97-a7de-7578-a5a6-7e9eb1e8ed7f", "evidence": "Clean bars with embedded percentages.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 65, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 13, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 40, "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": 10, "name": "The Implications (So What)", "beatId": "019dea97-a0e9-7179-9519-a7ed034a31d3", "matchId": "019dea97-a09d-7447-afdb-1ecd12abe343", "beatType": null, "evidence": "Three thematic sections: Knowledge, Trust, Future impact across countries and generations.", "position": 2, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 55 } ], "loops": [ { "to": 18, "from": 11, "loop": { "name": "34_segmentation_split", "slug": "34-segmentation-split", "status": "active", "bestFor": "Customer analysis, market research, resource allocation", "canonId": "019dd956-7398-77a8-9a5f-2e4d39589f42", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Aggregate View -> Segment A Behavior -> Segment B Behavior -> The Insight in the Difference", "description": "Divide a whole into meaningful segments to reveal hidden patterns", "familyLabel": null }, "matchId": "019dea97-a15b-7641-b401-8cf80a4eb2a4", "evidence": "p11/13/15/16/18 break agreement by 32 countries; p12/14 compare 4 generations 2023 vs 2024; p17 plots regional clusters.", "position": 2, "objective": "Show how AI knowledge and sentiment split by country and generation", "confidence": 75, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 14, "type": "analysis", "title": "Base: 23,685 online adults under age 75 across 32 countries, interviewed April 19 – May 3, 2024", "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": 36, "componentCount": 5, "textChars": 346, "nDataPoints": 8, "notes": "Base: 23,685 online adults under age 75 across 32 countries, interviewed April 19 – May 3, 2024", "elementsJson": [ "bar_chart_grouped", "paragraph" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 18:19:17.517+00", "seconds": 2.374, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e87-7479-8208-2bfe3ad2f5e5/14", "deck": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5", "deckAnchor": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5#slide-14", "deckJson": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5.json" }, "components": [ { "bbox": { "h": 0.8, "w": 0.65, "x": 0.3, "y": 0.1 }, "kind": "chart", "text": "Grouped bar chart showing 2023 vs 2024 awareness of AI products by generation", "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 18:19:17.517+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "4dfb9150-962c-4194-abd9-72d3bc1591d5", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.2, "x": 0.05, "y": 0.8 }, "kind": "disclaimer", "text": "Base: 23,685 online adults under age 75 across 32 countries, interviewed April 19 – May 3, 2024", "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 18:19:17.517+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "acc2870b-ef66-4e52-97b4-6c174b454480", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.05, "x": 0.85, "y": 0.1 }, "kind": "legend", "text": "2023, 2024", "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 18:19:17.517+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "6da59267-1418-40d6-ab1d-f9d7326cb357", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Percentage of respondents agreeing: 59%", "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": "2026-04-24 15:54:23+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-22ff-774c-a150-c41b7463cbe7", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.2, "x": 0.05, "y": 0.1 }, "kind": "title", "text": "How much do you agree or disagree with the following? I know which types of products and services use artificial intelligence", "attrs": null, "canon": { "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 18:19:17.517+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "a4e54899-f577-403c-a13f-38db918d07cd", "parentComponentId": null } ], "metrics": [], "tools": [ { "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": "019dea97-a826-73c0-bc0f-e8e86c3daf24", "evidence": "Generation labels and year deltas annotated.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 65, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 14, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "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": "019dea97-a802-77ab-8e26-ed7c79732088", "evidence": "2023 vs 2024 bars repeated across generations.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 75, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 14, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 40, "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": 10, "name": "The Implications (So What)", "beatId": "019dea97-a0e9-7179-9519-a7ed034a31d3", "matchId": "019dea97-a09d-7447-afdb-1ecd12abe343", "beatType": null, "evidence": "Three thematic sections: Knowledge, Trust, Future impact across countries and generations.", "position": 2, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 55 } ], "loops": [ { "to": 18, "from": 11, "loop": { "name": "34_segmentation_split", "slug": "34-segmentation-split", "status": "active", "bestFor": "Customer analysis, market research, resource allocation", "canonId": "019dd956-7398-77a8-9a5f-2e4d39589f42", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Aggregate View -> Segment A Behavior -> Segment B Behavior -> The Insight in the Difference", "description": "Divide a whole into meaningful segments to reveal hidden patterns", "familyLabel": null }, "matchId": "019dea97-a15b-7641-b401-8cf80a4eb2a4", "evidence": "p11/13/15/16/18 break agreement by 32 countries; p12/14 compare 4 generations 2023 vs 2024; p17 plots regional clusters.", "position": 2, "objective": "Show how AI knowledge and sentiment split by country and generation", "confidence": 75, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 15, "type": "analysis", "title": "The chart displays 'Agree' (dark blue) and 'Disagree' (light blue) percentages for 32 countries plus a global average.", "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": 30, "componentCount": 4, "textChars": 293, "nDataPoints": 96, "notes": "The chart displays 'Agree' (dark blue) and 'Disagree' (light blue) percentages for 32 countries plus a global average.", "elementsJson": [ "bar_chart_stacked", "data_table" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 18:19:17.959+00", "seconds": 2.481, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e87-7479-8208-2bfe3ad2f5e5/15", "deck": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5", "deckAnchor": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5#slide-15", "deckJson": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5.json" }, "components": [ { "bbox": { "h": 0.85, "w": 0.65, "x": 0.28, "y": 0.05 }, "kind": "chart", "text": "Global consumer sentiment on AI nervousness", "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 18:19:17.959+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "0bda6a07-ae6c-4978-b987-ce918f3e3a94", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.2, "x": 0.05, "y": 0.8 }, "kind": "disclaimer", "text": "Base: 23,685 online adults under age 75 across 32 countries, interviewed April 19 – May 3, 2024", "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 18:19:17.959+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "da415daf-186a-4260-9834-2378eb4ef6a7", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Agreement with AI nervousness: 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": "2026-04-24 15:54:23+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-22ff-774c-a150-d8d2389e4aa7", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.2, "x": 0.05, "y": 0.1 }, "kind": "title", "text": "How much do you agree or disagree with the following? Products and services using artificial intelligence make me nervous", "attrs": null, "canon": { "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 18:19:17.959+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "84d2e99c-2671-44b7-80f6-ca45603cbd45", "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": "019dea97-a86f-73ce-97b2-b9dad7d89ba6", "evidence": "Horizontal stacked bars rank countries on nervousness.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 15, "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": "019dea97-a84b-76e8-aaa6-e34c42e393af", "evidence": "Same palette repurposed for nervousness sentiment.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 75, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 15, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 40, "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": 10, "name": "The Implications (So What)", "beatId": "019dea97-a0e9-7179-9519-a7ed034a31d3", "matchId": "019dea97-a09d-7447-afdb-1ecd12abe343", "beatType": null, "evidence": "Three thematic sections: Knowledge, Trust, Future impact across countries and generations.", "position": 2, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 55 } ], "loops": [ { "to": 18, "from": 11, "loop": { "name": "34_segmentation_split", "slug": "34-segmentation-split", "status": "active", "bestFor": "Customer analysis, market research, resource allocation", "canonId": "019dd956-7398-77a8-9a5f-2e4d39589f42", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Aggregate View -> Segment A Behavior -> Segment B Behavior -> The Insight in the Difference", "description": "Divide a whole into meaningful segments to reveal hidden patterns", "familyLabel": null }, "matchId": "019dea97-a15b-7641-b401-8cf80a4eb2a4", "evidence": "p11/13/15/16/18 break agreement by 32 countries; p12/14 compare 4 generations 2023 vs 2024; p17 plots regional clusters.", "position": 2, "objective": "Show how AI knowledge and sentiment split by country and generation", "confidence": 75, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 16, "type": "analysis", "title": "The chart displays 'Agree' (dark blue) and 'Disagree' (light blue) percentages for 32 countries, sorted by agreement level.", "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": 30, "componentCount": 4, "textChars": 293, "nDataPoints": 96, "notes": "The chart displays 'Agree' (dark blue) and 'Disagree' (light blue) percentages for 32 countries, sorted by agreement level.", "elementsJson": [ "bar_chart_stacked", "data_table" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 18:19:18.164+00", "seconds": 2.483, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e87-7479-8208-2bfe3ad2f5e5/16", "deck": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5", "deckAnchor": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5#slide-16", "deckJson": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5.json" }, "components": [ { "bbox": { "h": 0.85, "w": 0.68, "x": 0.28, "y": 0.05 }, "kind": "chart", "text": "Stacked bar chart of agreement vs disagreement by country", "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 18:19:18.164+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "db5330cc-e1b0-4544-a7d9-7d57c082ef34", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.2, "x": 0.05, "y": 0.8 }, "kind": "disclaimer", "text": "Base: 23,685 online adults under age 75 across 32 countries, interviewed April 19 – May 3, 2024", "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 18:19:18.164+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "c553f31e-ba8e-4cce-974a-71e04b6f6854", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Agreement level: 80%", "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": "2026-04-24 15:54:23+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-22ff-774c-a150-eef01ebc8ac6", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.2, "x": 0.05, "y": 0.1 }, "kind": "title", "text": "How much do you agree or disagree with the following? Products and services using artificial intelligence make me excited", "attrs": null, "canon": { "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 18:19:18.164+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "be41dd57-dcd1-46ce-8140-14527181fae6", "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": "019dea97-a8b7-75ef-bdb9-d31d8be9fe31", "evidence": "Horizontal stacked bars rank countries on excitement.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 16, "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": "019dea97-a894-74e1-8624-108600f67906", "evidence": "Same palette across the excited/nervous pair.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 75, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 16, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 40, "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": 10, "name": "The Implications (So What)", "beatId": "019dea97-a0e9-7179-9519-a7ed034a31d3", "matchId": "019dea97-a09d-7447-afdb-1ecd12abe343", "beatType": null, "evidence": "Three thematic sections: Knowledge, Trust, Future impact across countries and generations.", "position": 2, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 55 } ], "loops": [ { "to": 18, "from": 11, "loop": { "name": "34_segmentation_split", "slug": "34-segmentation-split", "status": "active", "bestFor": "Customer analysis, market research, resource allocation", "canonId": "019dd956-7398-77a8-9a5f-2e4d39589f42", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Aggregate View -> Segment A Behavior -> Segment B Behavior -> The Insight in the Difference", "description": "Divide a whole into meaningful segments to reveal hidden patterns", "familyLabel": null }, "matchId": "019dea97-a15b-7641-b401-8cf80a4eb2a4", "evidence": "p11/13/15/16/18 break agreement by 32 countries; p12/14 compare 4 generations 2023 vs 2024; p17 plots regional clusters.", "position": 2, "objective": "Show how AI knowledge and sentiment split by country and generation", "confidence": 75, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 17, "type": "setup", "title": "The chart uses geographic clustering (Anglosphere, Europe, Asia) to segment countries by sentiment.", "function": "compare_peers", "rawType": "competitive_analysis", "block": null, "metadata": { "slideType": "competitive_analysis", "slideTypeCanon": { "name": "Competitive analysis", "slug": "competitive_analysis", "status": "active", "canonId": "019de52d-093e-776b-94c6-c1573f5f1a31", "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": 33, "componentCount": 4, "textChars": 364, "nDataPoints": 32, "notes": "The chart uses geographic clustering (Anglosphere, Europe, Asia) to segment countries by sentiment.", "elementsJson": [ "scatter_plot", "paragraph" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 18:19:21.061+00", "seconds": 5.346, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e87-7479-8208-2bfe3ad2f5e5/17", "deck": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5", "deckAnchor": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5#slide-17", "deckJson": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5.json" }, "components": [ { "bbox": { "h": 0.85, "w": 0.7, "x": 0.25, "y": 0.05 }, "kind": "chart", "text": "Scatter plot of 32 countries showing % Nervous vs % Excited", "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 18:19:21.061+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "62360fa9-a1a3-44bf-b22a-71fb85dba9c4", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Sentiment towards AI", "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": "2026-04-24 15:54:23+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-22ff-774c-a151-03db92e0caf4", "parentComponentId": null }, { "bbox": { "h": 0.3, "w": 0.2, "x": 0.05, "y": 0.1 }, "kind": "paragraph", "text": "How much do you agree or disagree with the following? Products and services using artificial intelligence make me nervous. Products and services using artificial intelligence make me excited", "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 18:19:21.061+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "c3d48555-c02a-4cde-b0b2-2d190b864cdf", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.2, "x": 0.05, "y": 0.8 }, "kind": "source-note", "text": "Base: 23,685 online adults under age 75 across 32 countries, interviewed April 19 - May 3, 2024", "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 18:19:21.061+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "bd3ca9bf-fdee-4010-81e6-03dbdb3926f5", "parentComponentId": null } ], "metrics": [], "tools": [ { "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": "019dea97-a900-7348-ac9d-d05ee4024c5b", "evidence": "Dashed regional cluster ovals with colored labels overlay scatter.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 90, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 17, "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": "019dea97-a94a-726b-bbcb-9886df5b9f86", "evidence": "Color encodes geography, not sentiment, to surface regional pattern.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 80, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 17, "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": "019dea97-a926-72bf-8d32-2442984e0d25", "evidence": "Pink/teal/orange clusters contrast distinctly against navy points.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 80, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 17, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Focal Point", "slug": "focal-point", "status": "active", "bestFor": null, "canonId": "019dd956-b9d2-7535-ad41-3b1a87fa7a93", "version": 1, "bodyDocId": null, "description": "Creating single point of visual emphasis", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "019dea97-a994-7665-9113-93560b42cf00", "evidence": "Asia cluster at high-excited end is the visual punchline.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 17, "whyItWorks": null, "antipattern": null, "cardinality": null, "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": "019dea97-a970-7683-b6f3-d276153238dd", "evidence": "Enclosure (ovals) groups countries; proximity reinforces clusters.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 80, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 17, "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": "019dea97-a8db-70c0-aef9-8ee4eb0934d9", "evidence": "Three colored cluster ovals (Anglosphere/Europe/Asia) dominate the eye.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 85, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 17, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [ { "matchId": "019dea97-b0aa-7397-a335-63c7dc19c7a1", "evidence": "Scatter with explicit %Nervous (Y) vs %Excited (X) axes and three regional cluster overlays.", "framework": null, "confidence": 90, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 17, "frameworkName": "2x2 Matrix" } ], "arcBeats": [ { "to": 40, "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": 10, "name": "The Implications (So What)", "beatId": "019dea97-a0e9-7179-9519-a7ed034a31d3", "matchId": "019dea97-a09d-7447-afdb-1ecd12abe343", "beatType": null, "evidence": "Three thematic sections: Knowledge, Trust, Future impact across countries and generations.", "position": 2, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 55 } ], "loops": [ { "to": 18, "from": 11, "loop": { "name": "34_segmentation_split", "slug": "34-segmentation-split", "status": "active", "bestFor": "Customer analysis, market research, resource allocation", "canonId": "019dd956-7398-77a8-9a5f-2e4d39589f42", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Aggregate View -> Segment A Behavior -> Segment B Behavior -> The Insight in the Difference", "description": "Divide a whole into meaningful segments to reveal hidden patterns", "familyLabel": null }, "matchId": "019dea97-a15b-7641-b401-8cf80a4eb2a4", "evidence": "p11/13/15/16/18 break agreement by 32 countries; p12/14 compare 4 generations 2023 vs 2024; p17 plots regional clusters.", "position": 2, "objective": "Show how AI knowledge and sentiment split by country and generation", "confidence": 75, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 18, "type": "analysis", "title": "The chart displays 'Agree' (dark blue) and 'Disagree' (light blue) percentages for 32 countries plus a global average, with a final column showing 'Agree / 23' ", "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": 31, "componentCount": 4, "textChars": 303, "nDataPoints": 96, "notes": "The chart displays 'Agree' (dark blue) and 'Disagree' (light blue) percentages for 32 countries plus a global average, with a final column showing 'Agree / 23' (likely a previous year's data).", "elementsJson": [ "bar_chart_stacked", "data_table" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 18:19:23.389+00", "seconds": 7.516, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e87-7479-8208-2bfe3ad2f5e5/18", "deck": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5", "deckAnchor": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5#slide-18", "deckJson": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5.json" }, "components": [ { "bbox": { "h": 0.8, "w": 0.68, "x": 0.28, "y": 0.08 }, "kind": "chart", "text": "Global sentiment on AI benefits vs drawbacks", "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 18:19:23.389+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "09a408ac-70e5-497f-a724-3a26f391cb53", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.2, "x": 0.05, "y": 0.8 }, "kind": "disclaimer", "text": "Base: 23,685 online adults under age 75 across 32 countries, interviewed April 19 – May 3, 2024", "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 18:19:23.389+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "2f123af2-a80b-409d-a32e-f956ee220c66", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Agreement percentage: 83%", "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": "2026-04-24 15:54:26+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-22ff-774c-a151-acfeda6864c9", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.2, "x": 0.05, "y": 0.1 }, "kind": "title", "text": "How much do you agree or disagree with the following? Products and services using artificial intelligence have more benefits than drawbacks", "attrs": null, "canon": { "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 18:19:23.389+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "de029a83-87c7-400a-928b-f49ad96f300a", "parentComponentId": null } ], "metrics": [], "tools": [ { "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": "019dea97-a9de-7751-8abb-3d8a1775da3a", "evidence": "Side column 'Agree / 23' annotates year-over-year change.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 65, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 18, "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": "019dea97-a9b9-749a-b1dd-b8559b999c54", "evidence": "Two-tone palette plus 2023 comparison column.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 75, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 18, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 40, "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": 10, "name": "The Implications (So What)", "beatId": "019dea97-a0e9-7179-9519-a7ed034a31d3", "matchId": "019dea97-a09d-7447-afdb-1ecd12abe343", "beatType": null, "evidence": "Three thematic sections: Knowledge, Trust, Future impact across countries and generations.", "position": 2, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 55 } ], "loops": [ { "to": 18, "from": 11, "loop": { "name": "34_segmentation_split", "slug": "34-segmentation-split", "status": "active", "bestFor": "Customer analysis, market research, resource allocation", "canonId": "019dd956-7398-77a8-9a5f-2e4d39589f42", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Aggregate View -> Segment A Behavior -> Segment B Behavior -> The Insight in the Difference", "description": "Divide a whole into meaningful segments to reveal hidden patterns", "familyLabel": null }, "matchId": "019dea97-a15b-7641-b401-8cf80a4eb2a4", "evidence": "p11/13/15/16/18 break agreement by 32 countries; p12/14 compare 4 generations 2023 vs 2024; p17 plots regional clusters.", "position": 2, "objective": "Show how AI knowledge and sentiment split by country and generation", "confidence": 75, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 19, "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": 10, "componentCount": 4, "textChars": 30, "nDataPoints": 0, "notes": null, "elementsJson": [ "headline_text", "photo" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 18:19:18.021+00", "seconds": 2.097, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e87-7479-8208-2bfe3ad2f5e5/19", "deck": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5", "deckAnchor": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5#slide-19", "deckJson": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5.json" }, "components": [ { "bbox": { "h": 0.017, "w": 0.104, "x": 0.035, "y": 0.948 }, "kind": "disclaimer", "text": "© Ipsos AI Monitor", "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 18:19:18.021+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "740ab422-3cd6-4b86-ad84-7143ade12c10", "parentComponentId": null }, { "bbox": { "h": 1, "w": 0.667, "x": 0.333, "y": 0 }, "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 18:19:18.021+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "3c7abd33-630a-41b3-bf8d-749e25062643", "parentComponentId": null }, { "bbox": { "h": 0.067, "w": 0.042, "x": 0.922, "y": 0.898 }, "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": "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 18:19:18.021+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "71ad0a6f-9e0b-4380-b22f-51012ad2b4e2", "parentComponentId": null }, { "bbox": { "h": 0.083, "w": 0.275, "x": 0.035, "y": 0.208 }, "kind": "title", "text": "AI and trust", "attrs": null, "canon": { "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 18:19:18.021+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "8450a7c4-203f-44e3-9ae4-e0ff2905c037", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 40, "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": 10, "name": "The Implications (So What)", "beatId": "019dea97-a0e9-7179-9519-a7ed034a31d3", "matchId": "019dea97-a09d-7447-afdb-1ecd12abe343", "beatType": null, "evidence": "Three thematic sections: Knowledge, Trust, Future impact across countries and generations.", "position": 2, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 55 } ], "loops": [], "locked": true }, { "page": 20, "type": "analysis", "title": "The chart displays 'Agree' (dark blue) and 'Disagree' (teal) percentages for each country, with a final column showing 'Agree / 23' (likely a comparison to 2023", "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": 32, "componentCount": 4, "textChars": 321, "nDataPoints": 96, "notes": "The chart displays 'Agree' (dark blue) and 'Disagree' (teal) percentages for each country, with a final column showing 'Agree / 23' (likely a comparison to 2023 data).", "elementsJson": [ "data_table" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 18:19:18.084+00", "seconds": 2.109, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e87-7479-8208-2bfe3ad2f5e5/20", "deck": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5", "deckAnchor": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5#slide-20", "deckJson": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5.json" }, "components": [ { "bbox": { "h": 0.85, "w": 0.68, "x": 0.28, "y": 0.08 }, "kind": "chart", "text": "Horizontal stacked bar chart of trust levels by country", "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 18:19:18.084+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "083dc8b6-76b0-4d86-993c-1be9f5d4cc14", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.2, "x": 0.05, "y": 0.8 }, "kind": "disclaimer", "text": "Base: 23,685 online adults under age 75 across 32 countries, interviewed April 19 – May 3, 2024", "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 18:19:18.084+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "57ae8c0d-252e-4cf9-b516-33d1d6d20515", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Trust in AI data protection: 68%", "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": "2026-04-24 15:54:27+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-22ff-774c-a151-e93f25607fb9", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.2, "x": 0.05, "y": 0.1 }, "kind": "title", "text": "How much do you agree or disagree with the following? I trust that companies that use artificial intelligence will protect my personal 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 18:19:18.084+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "f04ddcb1-c989-484d-b3b9-d034d95e1738", "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": "019dea97-aa4d-75f4-b01a-1420c9424254", "evidence": "Loop juxtaposes trust-AI (p23) with trust-people (p24) and the delta (p25).", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 85, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 20, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Tension Management", "slug": "tension-management", "status": "active", "bestFor": null, "canonId": "019dd956-9bd5-70ed-a5d2-1ce45853c248", "version": 1, "bodyDocId": null, "description": "Planning emotional peaks and valleys throughout the narrative", "familyLabel": null, "categoryName": "Loop", "categorySlug": "loop" }, "agent": "Storyteller", "layer": "loop", "agents": [ "Storyteller" ], "matchId": "019dea97-aa72-741e-b2ac-cde8bc6233cd", "evidence": "Builds trust deficit narrative before resolving with AI-vs-people delta.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 65, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 20, "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": "019dea97-aa28-762e-b0ae-c350c1a59b04", "evidence": "Horizontal stacked bars rank trust by country.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 20, "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": "019dea97-aa03-7648-80fe-a9821ad27844", "evidence": "Stacked Agree/Disagree palette consistent with knowledge section.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 75, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 20, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 40, "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": 10, "name": "The Implications (So What)", "beatId": "019dea97-a0e9-7179-9519-a7ed034a31d3", "matchId": "019dea97-a09d-7447-afdb-1ecd12abe343", "beatType": null, "evidence": "Three thematic sections: Knowledge, Trust, Future impact across countries and generations.", "position": 2, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 55 } ], "loops": [ { "to": 26, "from": 20, "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": "019dea97-a180-73f0-ae47-838ee8fdcbd1", "evidence": "p23/24 pair AI-trust and people-trust on bias, p25 plots the AI-minus-people delta, p26 compares across generations.", "position": 3, "objective": "Contrast trust in AI versus trust in people on discrimination and data", "confidence": 80, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 21, "type": "analysis", "title": "The chart displays a global average followed by individual country data, sorted by net agreement score.", "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": 28, "componentCount": 4, "textChars": 271, "nDataPoints": 32, "notes": "The chart displays a global average followed by individual country data, sorted by net agreement score.", "elementsJson": [ "bar_chart_horizontal" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 18:19:18.783+00", "seconds": 2.57, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e87-7479-8208-2bfe3ad2f5e5/21", "deck": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5", "deckAnchor": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5#slide-21", "deckJson": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5.json" }, "components": [ { "bbox": { "h": 0.9, "w": 0.65, "x": 0.3, "y": 0.05 }, "kind": "chart", "text": "Net agreement by country", "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 18:19:18.783+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "f3dbfa1b-9af0-4d1c-bcb0-a50bfe8148c3", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.2, "x": 0.05, "y": 0.8 }, "kind": "disclaimer", "text": "Base: 23,685 online adults under age 75 across 32 countries, interviewed April 19 - May 3, 2024", "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 18:19:18.783+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "f2a236cb-b735-4fae-90fc-3a8bb00712f4", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Net agree: 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": "2026-04-24 15:54:27+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-22ff-774c-a152-1fbff9d36613", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.2, "x": 0.05, "y": 0.1 }, "kind": "title", "text": "How much do you agree or disagree with the following? I trust that companies that use artificial intelligence will protect my personal 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 18:19:18.783+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "53931849-7aa6-4014-97bb-ff859463a61b", "parentComponentId": null } ], "metrics": [], "tools": [ { "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": "019dea97-aabb-73fd-8dcc-659edb5d2636", "evidence": "Net agree score sorted, global average highlighted.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 60, "extraction": { "at": "2026-05-02 21:28:18.637643+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": "019dea97-aa96-75aa-a74d-d53edde5c2df", "evidence": "Net-agreement bar chart with diverging baseline.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 21, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 40, "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": 10, "name": "The Implications (So What)", "beatId": "019dea97-a0e9-7179-9519-a7ed034a31d3", "matchId": "019dea97-a09d-7447-afdb-1ecd12abe343", "beatType": null, "evidence": "Three thematic sections: Knowledge, Trust, Future impact across countries and generations.", "position": 2, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 55 } ], "loops": [ { "to": 26, "from": 20, "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": "019dea97-a180-73f0-ae47-838ee8fdcbd1", "evidence": "p23/24 pair AI-trust and people-trust on bias, p25 plots the AI-minus-people delta, p26 compares across generations.", "position": 3, "objective": "Contrast trust in AI versus trust in people on discrimination and data", "confidence": 80, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 22, "type": "analysis", "title": "Base: 23,685 online adults under age 75 across 32 countries, interviewed April 19 – May 3, 2024", "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": 28, "componentCount": 4, "textChars": 325, "nDataPoints": 8, "notes": "Base: 23,685 online adults under age 75 across 32 countries, interviewed April 19 – May 3, 2024", "elementsJson": [ "bar_chart_grouped", "paragraph" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 18:19:20.973+00", "seconds": 4.744, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e87-7479-8208-2bfe3ad2f5e5/22", "deck": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5", "deckAnchor": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5#slide-22", "deckJson": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5.json" }, "components": [ { "bbox": { "h": 0.8, "w": 0.68, "x": 0.28, "y": 0.08 }, "kind": "chart", "text": "Trust in AI companies by generation (2023 vs 2024)", "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 18:19:20.973+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "51e9f20a-a31e-444c-88a7-f07a0067b40e", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Consumer trust in AI data protection: 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": "2026-04-24 15:54:26+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-22ff-774c-a151-7b47c76aadfd", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.22, "x": 0.05, "y": 0.8 }, "kind": "source-note", "text": "Base: 23,685 online adults under age 75 across 32 countries, interviewed April 19 – May 3, 2024", "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 18:19:20.973+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "ab7b862f-d3ca-4bd1-b600-c2f3946dceb4", "parentComponentId": null }, { "bbox": { "h": 0.25, "w": 0.22, "x": 0.05, "y": 0.1 }, "kind": "title", "text": "How much do you agree or disagree with the following? I trust that companies that use artificial intelligence will protect my personal 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 18:19:20.973+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "9561a5f8-cc22-4b5c-bc3f-e0e6bb994f97", "parentComponentId": null } ], "metrics": [], "tools": [ { "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": "019dea97-ab05-7198-ab9c-81fc9ce00c12", "evidence": "Year and cohort labels annotate bar pairs.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 60, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 22, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "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": "019dea97-aae1-758b-9047-43b592677203", "evidence": "Generation x year bar pairs repeated across cohorts.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 75, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 22, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 40, "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": 10, "name": "The Implications (So What)", "beatId": "019dea97-a0e9-7179-9519-a7ed034a31d3", "matchId": "019dea97-a09d-7447-afdb-1ecd12abe343", "beatType": null, "evidence": "Three thematic sections: Knowledge, Trust, Future impact across countries and generations.", "position": 2, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 55 } ], "loops": [ { "to": 26, "from": 20, "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": "019dea97-a180-73f0-ae47-838ee8fdcbd1", "evidence": "p23/24 pair AI-trust and people-trust on bias, p25 plots the AI-minus-people delta, p26 compares across generations.", "position": 3, "objective": "Contrast trust in AI versus trust in people on discrimination and data", "confidence": 80, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 23, "type": "analysis", "title": "The chart uses a diverging bar structure where the 'Agree' portion is dark blue and the 'Disagree' portion is light blue.", "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": 31, "componentCount": 4, "textChars": 314, "nDataPoints": 96, "notes": "The chart uses a diverging bar structure where the 'Agree' portion is dark blue and the 'Disagree' portion is light blue.", "elementsJson": [ "bar_chart_horizontal", "data_table" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 18:19:19.445+00", "seconds": 3.03, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e87-7479-8208-2bfe3ad2f5e5/23", "deck": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5", "deckAnchor": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5#slide-23", "deckJson": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5.json" }, "components": [ { "bbox": { "h": 0.85, "w": 0.65, "x": 0.28, "y": 0.05 }, "kind": "chart", "text": "Global trust in AI non-discrimination by country", "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 18:19:19.445+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "b792caab-9a37-4bab-9e6e-5edf2a8046b8", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.2, "x": 0.05, "y": 0.8 }, "kind": "disclaimer", "text": "Base: 23,685 online adults under age 75 across 32 countries, interviewed April 19 – May 3, 2024", "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 18:19:19.445+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "7a8f0614-02e0-43c2-95fa-f76ed6e98f4d", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Trust in AI fairness: 54%", "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": "2026-04-24 15:54:26+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-22ff-774c-a151-9ac4fee0d02c", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.2, "x": 0.05, "y": 0.1 }, "kind": "title", "text": "How much do you agree or disagree with the following? I trust artificial intelligence to not discriminate or show bias towards any group of people", "attrs": null, "canon": { "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 18:19:19.445+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "0c1de573-8b41-49bc-b727-3b1ec0a1a3e6", "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": "019dea97-ab4e-73e9-b1b7-04c8adc833a5", "evidence": "Horizontal stacked bars match the country-rank pattern.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 65, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 23, "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": "019dea97-ab29-725c-a393-c4950b31517b", "evidence": "Same Agree/Disagree palette ranks discrimination trust.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 75, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 23, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 40, "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": 10, "name": "The Implications (So What)", "beatId": "019dea97-a0e9-7179-9519-a7ed034a31d3", "matchId": "019dea97-a09d-7447-afdb-1ecd12abe343", "beatType": null, "evidence": "Three thematic sections: Knowledge, Trust, Future impact across countries and generations.", "position": 2, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 55 } ], "loops": [ { "to": 26, "from": 20, "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": "019dea97-a180-73f0-ae47-838ee8fdcbd1", "evidence": "p23/24 pair AI-trust and people-trust on bias, p25 plots the AI-minus-people delta, p26 compares across generations.", "position": 3, "objective": "Contrast trust in AI versus trust in people on discrimination and data", "confidence": 80, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 24, "type": "analysis", "title": "The chart displays 32 countries plus a global average. The bars represent the percentage of respondents who agree (dark blue) vs disagree (light blue).", "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": 30, "componentCount": 4, "textChars": 299, "nDataPoints": 64, "notes": "The chart displays 32 countries plus a global average. The bars represent the percentage of respondents who agree (dark blue) vs disagree (light blue).", "elementsJson": [ "bar_chart_stacked", "paragraph" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 18:19:18.616+00", "seconds": 2.115, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e87-7479-8208-2bfe3ad2f5e5/24", "deck": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5", "deckAnchor": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5#slide-24", "deckJson": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5.json" }, "components": [ { "bbox": { "h": 0.8, "w": 0.65, "x": 0.28, "y": 0.08 }, "kind": "chart", "text": "Global survey results on trust regarding discrimination", "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 18:19:18.616+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "42a31f23-9dba-4dc5-9dbc-24f265e21f0a", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.2, "x": 0.05, "y": 0.8 }, "kind": "disclaimer", "text": "Base: 23,685 online adults under age 75 across 32 countries, interviewed April 19 – May 3, 2024", "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 18:19:18.616+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "2d7973f5-be32-4cca-8d20-4f96212a2ef5", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Agreement level: 45%", "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": "2026-04-24 15:54:38+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-22ff-774c-a155-bd1581b0be13", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.2, "x": 0.05, "y": 0.1 }, "kind": "title", "text": "How much do you agree or disagree with the following? I trust people not to discriminate or show bias towards any group of people", "attrs": null, "canon": { "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 18:19:18.616+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "9c4299b5-9213-44e5-a2db-6d0f17ccf389", "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": "019dea97-ab9c-73c4-bdb6-52037db22a59", "evidence": "Identical chart form to p23 supports paired reading.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 65, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 24, "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": "019dea97-ab76-75ff-ae81-c0b01daad0a7", "evidence": "Mirror palette of p23 to invite direct comparison.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 75, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 24, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 40, "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": 10, "name": "The Implications (So What)", "beatId": "019dea97-a0e9-7179-9519-a7ed034a31d3", "matchId": "019dea97-a09d-7447-afdb-1ecd12abe343", "beatType": null, "evidence": "Three thematic sections: Knowledge, Trust, Future impact across countries and generations.", "position": 2, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 55 } ], "loops": [ { "to": 26, "from": 20, "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": "019dea97-a180-73f0-ae47-838ee8fdcbd1", "evidence": "p23/24 pair AI-trust and people-trust on bias, p25 plots the AI-minus-people delta, p26 compares across generations.", "position": 3, "objective": "Contrast trust in AI versus trust in people on discrimination and data", "confidence": 80, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 25, "type": "analysis", "title": "The metric is calculated as (% trust AI not to discriminate) minus (% trust people not to discriminate).", "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": 32, "componentCount": 4, "textChars": 358, "nDataPoints": 32, "notes": "The metric is calculated as (% trust AI not to discriminate) minus (% trust people not to discriminate).", "elementsJson": [ "bar_chart_horizontal", "paragraph" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 18:19:19.613+00", "seconds": 2.892, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e87-7479-8208-2bfe3ad2f5e5/25", "deck": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5", "deckAnchor": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5#slide-25", "deckJson": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5.json" }, "components": [ { "bbox": { "h": 0.9, "w": 0.65, "x": 0.3, "y": 0.05 }, "kind": "chart", "text": "Global country comparison of trust differential", "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 18:19:19.613+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "99e402fb-dd04-4e87-9ac6-01a92f576ebf", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.23, "x": 0.05, "y": 0.8 }, "kind": "disclaimer", "text": "Base: 23,685 online adults under age 75 across 32 countries, interviewed April 19 - May 3, 2024", "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 18:19:19.613+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "d1cf9a61-f124-4d9f-9b5d-0244733d1e25", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Net trust differential: 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": "2026-04-24 15:54:27+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-22ff-774c-a151-c0a07413f33e", "parentComponentId": null }, { "bbox": { "h": 0.25, "w": 0.23, "x": 0.05, "y": 0.1 }, "kind": "paragraph", "text": "% agree I trust artificial intelligence not to discriminate or show bias towards any group of people minus % agree I trust people not to discriminate or show bias towards any group of people", "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 18:19:19.613+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "a45b08e0-0999-4a51-9b2f-4f6826d78250", "parentComponentId": null } ], "metrics": [], "tools": [ { "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": "019dea97-abe9-7088-a861-be5d0ccb7215", "evidence": "Side panel spells out the AI-minus-people calculation.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 75, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 25, "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": "019dea97-ac34-7248-959f-9b75e2953f7c", "evidence": "Single negative bar in contrasting teal flags the outlier.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 25, "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": "019dea97-ac0d-773f-9bbf-9796c84c0e27", "evidence": "Sorted bars emphasize ranking; Global Average pinned at top.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 75, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 25, "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": "019dea97-abc1-73c8-9976-2784483c821d", "evidence": "Ireland's -5% bar in teal stands out from all-navy bars.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 80, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 25, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 40, "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": 10, "name": "The Implications (So What)", "beatId": "019dea97-a0e9-7179-9519-a7ed034a31d3", "matchId": "019dea97-a09d-7447-afdb-1ecd12abe343", "beatType": null, "evidence": "Three thematic sections: Knowledge, Trust, Future impact across countries and generations.", "position": 2, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 55 } ], "loops": [ { "to": 26, "from": 20, "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": "019dea97-a180-73f0-ae47-838ee8fdcbd1", "evidence": "p23/24 pair AI-trust and people-trust on bias, p25 plots the AI-minus-people delta, p26 compares across generations.", "position": 3, "objective": "Contrast trust in AI versus trust in people on discrimination and data", "confidence": 80, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 26, "type": "analysis", "title": "Data source: Ipsos AI Monitor, 2024.", "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": 38, "componentCount": 5, "textChars": 397, "nDataPoints": 8, "notes": "Data source: Ipsos AI Monitor, 2024.", "elementsJson": [ "bar_chart_grouped", "paragraph" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 18:19:22.025+00", "seconds": 5.054, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e87-7479-8208-2bfe3ad2f5e5/26", "deck": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5", "deckAnchor": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5#slide-26", "deckJson": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5.json" }, "components": [ { "bbox": { "h": 0.8, "w": 0.68, "x": 0.28, "y": 0.08 }, "kind": "chart", "text": "Grouped bar chart showing trust levels by generation", "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 18:19:22.025+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "b90c538a-e671-49db-9e6b-105cb1edaebd", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.2, "x": 0.05, "y": 0.8 }, "kind": "disclaimer", "text": "Base: 23,685 online adults under age 75 across 32 countries, interviewed April 19 – May 3, 2024", "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 18:19:22.025+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "26eb8040-7b3c-425c-a4ba-e7e7863d6a4d", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.2, "x": 0.78, "y": 0.1 }, "kind": "legend", "text": "I trust artificial intelligence to not discriminate or show bias towards any group of people; I trust people not to discriminate or show bias towards any group of people", "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 18:19:22.025+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "9b19b3ec-d05a-4867-9114-d8d9dcc35c8f", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Percentage of agreement: 59%", "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": "2026-04-24 15:54:27+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-22ff-774c-a151-d6b2054f2081", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.2, "x": 0.05, "y": 0.1 }, "kind": "title", "text": "How much do you agree or disagree with the following?", "attrs": null, "canon": { "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 18:19:22.025+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "45736512-2b99-48a9-bdbc-0321aff03ca0", "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": "019dea97-ac7e-741b-aa73-d097ac6e7132", "evidence": "Two-tone palette distinguishes AI vs people in each pair.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 26, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "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": "019dea97-ac59-73e0-ab3e-12cd94b2f741", "evidence": "Generation panels each compare AI vs people trust.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 75, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 26, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 40, "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": 10, "name": "The Implications (So What)", "beatId": "019dea97-a0e9-7179-9519-a7ed034a31d3", "matchId": "019dea97-a09d-7447-afdb-1ecd12abe343", "beatType": null, "evidence": "Three thematic sections: Knowledge, Trust, Future impact across countries and generations.", "position": 2, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 55 } ], "loops": [ { "to": 26, "from": 20, "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": "019dea97-a180-73f0-ae47-838ee8fdcbd1", "evidence": "p23/24 pair AI-trust and people-trust on bias, p25 plots the AI-minus-people delta, p26 compares across generations.", "position": 3, "objective": "Contrast trust in AI versus trust in people on discrimination and data", "confidence": 80, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 27, "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": 2, "textChars": 17, "nDataPoints": 0, "notes": null, "elementsJson": [ "headline_text", "photo" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 18:19:19.379+00", "seconds": 2.373, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e87-7479-8208-2bfe3ad2f5e5/27", "deck": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5", "deckAnchor": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5#slide-27", "deckJson": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5.json" }, "components": [ { "bbox": { "h": 1, "w": 0.55, "x": 0.45, "y": 0 }, "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": "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 18:19:19.379+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "c75a44e3-049e-49e8-be6d-90edad0c0489", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.35, "x": 0.06, "y": 0.2 }, "kind": "title", "text": "AI and the future", "attrs": null, "canon": { "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 18:19:19.379+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "b30ca737-d313-4175-867c-0081430ac9ed", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 40, "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": 10, "name": "The Implications (So What)", "beatId": "019dea97-a0e9-7179-9519-a7ed034a31d3", "matchId": "019dea97-a09d-7447-afdb-1ecd12abe343", "beatType": null, "evidence": "Three thematic sections: Knowledge, Trust, Future impact across countries and generations.", "position": 2, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 55 } ], "loops": [], "locked": true }, { "page": 28, "type": "analysis", "title": "The chart displays 'Agree' (dark blue) and 'Disagree' (light blue) percentages for 32 countries, sorted by agreement level.", "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": 33, "componentCount": 4, "textChars": 344, "nDataPoints": 96, "notes": "The chart displays 'Agree' (dark blue) and 'Disagree' (light blue) percentages for 32 countries, sorted by agreement level.", "elementsJson": [ "data_table" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 18:19:19.652+00", "seconds": 2.578, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e87-7479-8208-2bfe3ad2f5e5/28", "deck": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5", "deckAnchor": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5#slide-28", "deckJson": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5.json" }, "components": [ { "bbox": { "h": 0.85, "w": 0.68, "x": 0.28, "y": 0.08 }, "kind": "chart", "text": "Horizontal stacked bar chart of agreement levels by country", "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 18:19:19.652+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "c75bb519-4c7a-425c-9c3b-ce33a68e4d11", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.2, "x": 0.05, "y": 0.8 }, "kind": "disclaimer", "text": "Base: 23,685 online adults under age 75 across 32 countries, interviewed April 19 – May 3, 2024", "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 18:19:19.652+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "73c65a79-5c72-490d-8fe9-5d8b606dd309", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Agreement percentage: 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": "2026-04-24 15:54:27+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-22ff-774c-a152-2cd37aee7823", "parentComponentId": null }, { "bbox": { "h": 0.25, "w": 0.22, "x": 0.05, "y": 0.1 }, "kind": "title", "text": "How much do you agree or disagree with the following? Products and services using artificial intelligence have profoundly changed my daily life in the past 3-5 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 18:19:19.652+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "8e9ba25a-524c-454b-87c8-84df5840eabf", "parentComponentId": null } ], "metrics": [], "tools": [ { "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": "loop", "agents": [ "Storyteller" ], "matchId": "019dea97-acec-74ba-9fc1-1282aedbb1cc", "evidence": "Past-impact (p28) → future-impact (p29) → jobs → domains arcs the loop.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 65, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 28, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Progressive Disclosure", "slug": "progressive-disclosure", "status": "active", "bestFor": null, "canonId": "019dd956-ac0e-734f-96a9-2a5ce72bdc19", "version": 1, "bodyDocId": null, "description": "Users less overwhelmed when complex features revealed gradually", "familyLabel": null, "categoryName": "Loop", "categorySlug": "loop" }, "agent": "Architect", "layer": "loop", "agents": [ "Architect", "Designer" ], "matchId": "019dea97-ad11-7164-9fc9-ba0f02bdaa22", "evidence": "Loop reveals one life domain at a time across 13 slides.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 60, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 28, "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": "019dea97-acc8-712b-b8f6-89eed647caaa", "evidence": "Horizontal stacked bars rank perceived past impact by country.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 65, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 28, "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": "019dea97-aca3-735d-9a57-a0aba2f1b3e3", "evidence": "Same Agree/Disagree palette opens the future section.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 75, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 28, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 40, "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": 10, "name": "The Implications (So What)", "beatId": "019dea97-a0e9-7179-9519-a7ed034a31d3", "matchId": "019dea97-a09d-7447-afdb-1ecd12abe343", "beatType": null, "evidence": "Three thematic sections: Knowledge, Trust, Future impact across countries and generations.", "position": 2, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 55 } ], "loops": [ { "to": 40, "from": 28, "loop": { "name": "40_mece_breakdown", "slug": "40-mece-breakdown", "status": "active", "bestFor": "Problem structuring, ensuring completeness, strategic analysis", "canonId": "019dd956-763c-765e-8b68-6ee3ae1ef184", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Whole -> Category A (distinct) -> Category B (distinct) -> Category C (distinct) -> Complete Coverage", "description": "Divide a complex topic into mutually exclusive, collectively exhaustive categories", "familyLabel": null }, "matchId": "019dea97-a1a6-7500-8bbd-d19a6e453ca3", "evidence": "Slides cover jobs (p30-31), job replacement (p32-33), disinformation (p35), economy (p37), entertainment (p38), time (p39), health (p40).", "position": 4, "objective": "Decompose AI's future impact into distinct life domains", "confidence": 65, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 29, "type": "analysis", "title": "The chart displays 'Agree' (dark blue) and 'Disagree' (light blue) percentages for 32 countries, sorted by agreement level.", "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": 33, "componentCount": 4, "textChars": 346, "nDataPoints": 90, "notes": "The chart displays 'Agree' (dark blue) and 'Disagree' (light blue) percentages for 32 countries, sorted by agreement level.", "elementsJson": [ "bar_chart_horizontal", "data_table" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 18:19:19.439+00", "seconds": 2.287, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e87-7479-8208-2bfe3ad2f5e5/29", "deck": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5", "deckAnchor": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5#slide-29", "deckJson": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5.json" }, "components": [ { "bbox": { "h": 0.85, "w": 0.68, "x": 0.28, "y": 0.08 }, "kind": "chart", "text": "Stacked bar chart showing agreement vs disagreement by country", "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 18:19:19.439+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "ca630668-2d7e-423b-a64e-8ff6f055d5d7", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Agreement percentage: 66%", "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": "2026-04-24 15:54:39+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-22ff-774c-a155-f8843e6bcf2f", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.2, "x": 0.05, "y": 0.8 }, "kind": "paragraph", "text": "Base: 23,685 online adults under age 75 across 32 countries, interviewed April 19 – May 3, 2024", "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 18:19:19.439+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "9ba62fd1-408a-4de0-8645-774076329e00", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.2, "x": 0.05, "y": 0.1 }, "kind": "title", "text": "How much do you agree or disagree with the following? Products and services using artificial intelligence will profoundly change my daily life in the next 3-5 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 18:19:19.439+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "53d0a8bf-d0f7-40ec-a456-fea270ce3457", "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": "019dea97-ad5d-700d-a662-55dde5bd26b5", "evidence": "Same horizontal stacked bar pattern.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 65, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 29, "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": "019dea97-ad38-77a9-82b1-1c14cb263ab0", "evidence": "Mirrors p28 palette to support past-vs-future read.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 29, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 40, "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": 10, "name": "The Implications (So What)", "beatId": "019dea97-a0e9-7179-9519-a7ed034a31d3", "matchId": "019dea97-a09d-7447-afdb-1ecd12abe343", "beatType": null, "evidence": "Three thematic sections: Knowledge, Trust, Future impact across countries and generations.", "position": 2, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 55 } ], "loops": [ { "to": 40, "from": 28, "loop": { "name": "40_mece_breakdown", "slug": "40-mece-breakdown", "status": "active", "bestFor": "Problem structuring, ensuring completeness, strategic analysis", "canonId": "019dd956-763c-765e-8b68-6ee3ae1ef184", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Whole -> Category A (distinct) -> Category B (distinct) -> Category C (distinct) -> Complete Coverage", "description": "Divide a complex topic into mutually exclusive, collectively exhaustive categories", "familyLabel": null }, "matchId": "019dea97-a1a6-7500-8bbd-d19a6e453ca3", "evidence": "Slides cover jobs (p30-31), job replacement (p32-33), disinformation (p35), economy (p37), entertainment (p38), time (p39), health (p40).", "position": 4, "objective": "Decompose AI's future impact into distinct life domains", "confidence": 65, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 30, "type": "analysis", "title": "The chart uses a diverging color palette to represent sentiment intensity. Data source: Ipsos AI Monitor.", "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": 30, "componentCount": 4, "textChars": 290, "nDataPoints": 128, "notes": "The chart uses a diverging color palette to represent sentiment intensity. Data source: Ipsos AI Monitor.", "elementsJson": [ "bar_chart_stacked", "data_table" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 18:19:19.523+00", "seconds": 2.337, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e87-7479-8208-2bfe3ad2f5e5/30", "deck": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5", "deckAnchor": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5#slide-30", "deckJson": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5.json" }, "components": [ { "bbox": { "h": 0.85, "w": 0.65, "x": 0.28, "y": 0.05 }, "kind": "chart", "text": "Stacked bar chart of survey responses by country", "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 18:19:19.523+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "bbfb660f-6d52-46a5-8a5a-b29ffa389139", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Likelihood of AI changing job: 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": "2026-04-24 15:54:28+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-22ff-774c-a152-67af6e70d329", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.2, "x": 0.05, "y": 0.8 }, "kind": "source-note", "text": "Base: 23,685 online adults under age 75 across 32 countries, interviewed April 19 – May 3, 2024", "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 18:19:19.523+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "0844fba6-7583-412c-8510-dbf788113dfa", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.2, "x": 0.05, "y": 0.1 }, "kind": "title", "text": "How likely, if at all, do you think it is that AI will change how you do your current job in the next five 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 18:19:19.523+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "b04dc670-d624-4b36-9ee6-f537d62d67c7", "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": "019dea97-ada5-764b-b48b-1feeca32c6bf", "evidence": "Diverging stacks suit Likert-style likelihood.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 30, "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": "019dea97-ad81-74ee-9129-9bb692d67bf3", "evidence": "Diverging stacked bars use sentiment-intensity palette.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 75, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 30, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 40, "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": 10, "name": "The Implications (So What)", "beatId": "019dea97-a0e9-7179-9519-a7ed034a31d3", "matchId": "019dea97-a09d-7447-afdb-1ecd12abe343", "beatType": null, "evidence": "Three thematic sections: Knowledge, Trust, Future impact across countries and generations.", "position": 2, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 55 } ], "loops": [ { "to": 40, "from": 28, "loop": { "name": "40_mece_breakdown", "slug": "40-mece-breakdown", "status": "active", "bestFor": "Problem structuring, ensuring completeness, strategic analysis", "canonId": "019dd956-763c-765e-8b68-6ee3ae1ef184", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Whole -> Category A (distinct) -> Category B (distinct) -> Category C (distinct) -> Complete Coverage", "description": "Divide a complex topic into mutually exclusive, collectively exhaustive categories", "familyLabel": null }, "matchId": "019dea97-a1a6-7500-8bbd-d19a6e453ca3", "evidence": "Slides cover jobs (p30-31), job replacement (p32-33), disinformation (p35), economy (p37), entertainment (p38), time (p39), health (p40).", "position": 4, "objective": "Decompose AI's future impact into distinct life domains", "confidence": 65, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 31, "type": "analysis", "title": "Base: 23,685 online adults under age 75 across 32 countries, interviewed April 19 – May 3, 2024", "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": 4, "textChars": 332, "nDataPoints": 8, "notes": "Base: 23,685 online adults under age 75 across 32 countries, interviewed April 19 – May 3, 2024", "elementsJson": [ "bar_chart_grouped", "paragraph" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 18:19:19.439+00", "seconds": 2.088, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e87-7479-8208-2bfe3ad2f5e5/31", "deck": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5", "deckAnchor": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5#slide-31", "deckJson": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5.json" }, "components": [ { "bbox": { "h": 0.7, "w": 0.65, "x": 0.3, "y": 0.1 }, "kind": "chart", "text": "Grouped bar chart showing 2023 vs 2024 data for Gen Z, Millennials, Gen X, and Baby Boomers.", "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 18:19:19.439+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "557b7fc5-4c7f-435f-a254-9378a6b25ca2", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Likelihood of AI job impact: 67%", "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": "2026-04-24 15:54:27+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-22ff-774c-a152-0a80defe44c7", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.2, "x": 0.05, "y": 0.8 }, "kind": "source-note", "text": "Base: 23,685 online adults under age 75 across 32 countries, interviewed April 19 – May 3, 2024", "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 18:19:19.439+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "28bba1f9-1796-42a1-8540-3e9f4cd4efad", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.2, "x": 0.05, "y": 0.1 }, "kind": "title", "text": "How likely, if at all, do you think it is that AI will change how you do your current job in the next five 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 18:19:19.439+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "d71cd130-3d13-4f7f-80d9-8f1e150025a0", "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": "019dea97-adca-709c-8071-0e383f3fadba", "evidence": "Brief flags an explicit action-title component on this slide.", "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": 65, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 31, "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-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": "2871ec1d-8479-413a-b2bc-a93792470af7", "evidence": "The slide features a grouped bar chart showing 2023 vs 2024 data for Gen Z, Millennials, Gen X, and Baby Boomers.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 21:42:58.761638+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 31, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "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": "019dea97-adee-77e5-9fb8-a45299b81d8f", "evidence": "Generation x year bar pairs repeated across cohorts.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 31, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 40, "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": 10, "name": "The Implications (So What)", "beatId": "019dea97-a0e9-7179-9519-a7ed034a31d3", "matchId": "019dea97-a09d-7447-afdb-1ecd12abe343", "beatType": null, "evidence": "Three thematic sections: Knowledge, Trust, Future impact across countries and generations.", "position": 2, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 55 } ], "loops": [ { "to": 40, "from": 28, "loop": { "name": "40_mece_breakdown", "slug": "40-mece-breakdown", "status": "active", "bestFor": "Problem structuring, ensuring completeness, strategic analysis", "canonId": "019dd956-763c-765e-8b68-6ee3ae1ef184", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Whole -> Category A (distinct) -> Category B (distinct) -> Category C (distinct) -> Complete Coverage", "description": "Divide a complex topic into mutually exclusive, collectively exhaustive categories", "familyLabel": null }, "matchId": "019dea97-a1a6-7500-8bbd-d19a6e453ca3", "evidence": "Slides cover jobs (p30-31), job replacement (p32-33), disinformation (p35), economy (p37), entertainment (p38), time (p39), health (p40).", "position": 4, "objective": "Decompose AI's future impact into distinct life domains", "confidence": 65, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 32, "type": "analysis", "title": "The chart uses a diverging stacked bar format to visualize survey responses.", "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": 30, "componentCount": 4, "textChars": 292, "nDataPoints": 120, "notes": "The chart uses a diverging stacked bar format to visualize survey responses.", "elementsJson": [ "bar_chart_100pct", "data_table" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 18:19:22.942+00", "seconds": 5.582, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e87-7479-8208-2bfe3ad2f5e5/32", "deck": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5", "deckAnchor": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5#slide-32", "deckJson": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5.json" }, "components": [ { "bbox": { "h": 0.85, "w": 0.65, "x": 0.28, "y": 0.05 }, "kind": "chart", "text": "Stacked bar chart of AI job replacement sentiment by country", "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 18:19:22.942+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "e085541f-c55e-44f2-99bb-c647f69c79b5", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.2, "x": 0.05, "y": 0.8 }, "kind": "disclaimer", "text": "Base: 23,685 online adults under age 75 across 32 countries, interviewed April 19 – May 3, 2024", "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 18:19:22.942+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "79aa1686-18b5-4993-9020-1914b9da682c", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Likelihood of AI job replacement: 69%", "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": "2026-04-24 15:54:26+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-22ff-774c-a151-65d6dd6da33e", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.2, "x": 0.05, "y": 0.1 }, "kind": "title", "text": "How likely, if at all, do you think it is that AI will replace your current job in the next 5 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 18:19:22.942+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "786a5b67-f1f1-4a6f-9630-1bcbb138bcdf", "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": "019dea97-ae39-73b7-9c8d-ca1fc7a9def8", "evidence": "Diverging stacked bars by country.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 65, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 32, "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": "019dea97-ae13-718c-af7e-68f3f20d49e5", "evidence": "Diverging palette for likelihood of replacement.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 75, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 32, "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": "e2b3549e-0be6-404d-bc94-836586210ebb", "evidence": "The slide features a stacked bar chart of AI job replacement sentiment by country.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 21:42:58.845389+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 32, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 40, "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": 10, "name": "The Implications (So What)", "beatId": "019dea97-a0e9-7179-9519-a7ed034a31d3", "matchId": "019dea97-a09d-7447-afdb-1ecd12abe343", "beatType": null, "evidence": "Three thematic sections: Knowledge, Trust, Future impact across countries and generations.", "position": 2, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 55 } ], "loops": [ { "to": 40, "from": 28, "loop": { "name": "40_mece_breakdown", "slug": "40-mece-breakdown", "status": "active", "bestFor": "Problem structuring, ensuring completeness, strategic analysis", "canonId": "019dd956-763c-765e-8b68-6ee3ae1ef184", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Whole -> Category A (distinct) -> Category B (distinct) -> Category C (distinct) -> Complete Coverage", "description": "Divide a complex topic into mutually exclusive, collectively exhaustive categories", "familyLabel": null }, "matchId": "019dea97-a1a6-7500-8bbd-d19a6e453ca3", "evidence": "Slides cover jobs (p30-31), job replacement (p32-33), disinformation (p35), economy (p37), entertainment (p38), time (p39), health (p40).", "position": 4, "objective": "Decompose AI's future impact into distinct life domains", "confidence": 65, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 33, "type": "analysis", "title": "Data source: Ipsos AI Monitor. Base: 23,685 online adults under age 75 across 32 countries.", "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": 36, "componentCount": 5, "textChars": 343, "nDataPoints": 8, "notes": "Data source: Ipsos AI Monitor. Base: 23,685 online adults under age 75 across 32 countries.", "elementsJson": [ "bar_chart_grouped" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 18:19:22.758+00", "seconds": 5.352, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e87-7479-8208-2bfe3ad2f5e5/33", "deck": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5", "deckAnchor": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5#slide-33", "deckJson": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5.json" }, "components": [ { "bbox": { "h": 0.8, "w": 0.67, "x": 0.29, "y": 0.07 }, "kind": "chart", "text": "Grouped bar chart showing percentages for Gen Z, Millennials, Gen X, and Baby Boomers for 2023 and 2024.", "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 18:19:22.758+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "fb82b7e7-a15f-455c-a77b-f1eb1bc1de20", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.22, "x": 0.04, "y": 0.79 }, "kind": "disclaimer", "text": "Base: 23,685 online adults under age 75 across 32 countries, interviewed April 19 – May 3, 2024", "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 18:19:22.758+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "cf5afb56-f1c8-4057-8467-3dabd75b08af", "parentComponentId": null }, { "bbox": { "h": 0.06, "w": 0.05, "x": 0.86, "y": 0.1 }, "kind": "legend", "text": "2023, 2024", "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 18:19:22.758+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "152391f4-1a1e-4014-aca2-b331dae21af1", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Likelihood of job replacement: 46%", "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": "2026-04-24 15:54:26+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-22ff-774c-a151-57f870a13c28", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.22, "x": 0.04, "y": 0.1 }, "kind": "title", "text": "How likely, if at all, do you think it is that AI will replace your current job in the next 5 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 18:19:22.758+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "9b107945-1042-4eb4-9e39-52f13c6f4c0d", "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": "019dea97-ae5f-776a-bee5-61108f3c6e9c", "evidence": "Brief flags action-title component on the generational replacement comparison.", "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": 60, "extraction": { "at": "2026-05-02 21:28:18.637643+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": "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": "8e96bd0e-7fb9-4050-95bd-7ca4d3cb63c3", "evidence": "The slide features a grouped bar chart showing percentages for Gen Z, Millennials, Gen X, and Baby Boomers for 2023 and 2024.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 21:42:58.930691+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 33, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "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": "019dea97-ae84-73e9-a41c-1b043abf4829", "evidence": "Year-over-year bars repeated across the four generations.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 33, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 40, "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": 10, "name": "The Implications (So What)", "beatId": "019dea97-a0e9-7179-9519-a7ed034a31d3", "matchId": "019dea97-a09d-7447-afdb-1ecd12abe343", "beatType": null, "evidence": "Three thematic sections: Knowledge, Trust, Future impact across countries and generations.", "position": 2, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 55 } ], "loops": [ { "to": 40, "from": 28, "loop": { "name": "40_mece_breakdown", "slug": "40-mece-breakdown", "status": "active", "bestFor": "Problem structuring, ensuring completeness, strategic analysis", "canonId": "019dd956-763c-765e-8b68-6ee3ae1ef184", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Whole -> Category A (distinct) -> Category B (distinct) -> Category C (distinct) -> Complete Coverage", "description": "Divide a complex topic into mutually exclusive, collectively exhaustive categories", "familyLabel": null }, "matchId": "019dea97-a1a6-7500-8bbd-d19a6e453ca3", "evidence": "Slides cover jobs (p30-31), job replacement (p32-33), disinformation (p35), economy (p37), entertainment (p38), time (p39), health (p40).", "position": 4, "objective": "Decompose AI's future impact into distinct life domains", "confidence": 65, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 34, "type": "analysis", "title": "The chart is sorted by the 'Better' category in descending order.", "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": 33, "componentCount": 4, "textChars": 358, "nDataPoints": 96, "notes": "The chart is sorted by the 'Better' category in descending order.", "elementsJson": [ "bar_chart_stacked", "data_table" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 18:19:19.883+00", "seconds": 2.466, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e87-7479-8208-2bfe3ad2f5e5/34", "deck": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5", "deckAnchor": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5#slide-34", "deckJson": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5.json" }, "components": [ { "bbox": { "h": 0.8, "w": 0.65, "x": 0.28, "y": 0.08 }, "kind": "chart", "text": "Stacked bar chart of AI impact on jobs by country", "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 (100%)", "slug": "bar-stacked-100pct", "status": "active", "canonId": "019de52c-ff14-71b8-8d88-860f8d7da84b", "version": 1, "description": null }, "framework": null }, "subkind": "bar-stacked-100pct", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:19:19.883+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "a49b5674-21c9-49c7-ba46-dea3121906b2", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.2, "x": 0.05, "y": 0.765 }, "kind": "disclaimer", "text": "* Only asked of those with a job. Base: 23,685 online adults under age 75 across 32 countries, interviewed April 19 – May 3, 2024", "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 18:19:19.883+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "5543a9ab-1679-4248-bb55-7bf790f0f198", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Sentiment on AI impact on jobs: 37%", "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": "2026-04-24 15:54:38+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-22ff-774c-a155-d3c3aa2b5e98", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.2, "x": 0.05, "y": 0.1 }, "kind": "title", "text": "Do you think the increased use of artificial intelligence will make the following better, worse or stay the same in the next 3-5 years? – My job*", "attrs": null, "canon": { "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 18:19:19.883+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "e783776f-23d0-494a-9fd9-be5a4c796dbd", "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": "019dea97-aecd-733a-baa2-d1a770ff9b45", "evidence": "Diverging stacked bar suits sentiment categories.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 65, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 34, "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": "019dea97-aea9-754d-8b48-c73b934e2a11", "evidence": "Better/Same/Worse tri-color stacked bars.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 34, "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": "24f728e3-9c5e-4ca4-bfe2-e3b158270c81", "evidence": "The slide features a stacked bar chart of AI impact on jobs by country.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 21:42:59.016478+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 34, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 40, "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": 10, "name": "The Implications (So What)", "beatId": "019dea97-a0e9-7179-9519-a7ed034a31d3", "matchId": "019dea97-a09d-7447-afdb-1ecd12abe343", "beatType": null, "evidence": "Three thematic sections: Knowledge, Trust, Future impact across countries and generations.", "position": 2, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 55 } ], "loops": [ { "to": 40, "from": 28, "loop": { "name": "40_mece_breakdown", "slug": "40-mece-breakdown", "status": "active", "bestFor": "Problem structuring, ensuring completeness, strategic analysis", "canonId": "019dd956-763c-765e-8b68-6ee3ae1ef184", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Whole -> Category A (distinct) -> Category B (distinct) -> Category C (distinct) -> Complete Coverage", "description": "Divide a complex topic into mutually exclusive, collectively exhaustive categories", "familyLabel": null }, "matchId": "019dea97-a1a6-7500-8bbd-d19a6e453ca3", "evidence": "Slides cover jobs (p30-31), job replacement (p32-33), disinformation (p35), economy (p37), entertainment (p38), time (p39), health (p40).", "position": 4, "objective": "Decompose AI's future impact into distinct life domains", "confidence": 65, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 35, "type": "analysis", "title": "The chart uses a diverging stacked bar approach to show sentiment (Better, Stay the same, Worse).", "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": 33, "componentCount": 4, "textChars": 360, "nDataPoints": 96, "notes": "The chart uses a diverging stacked bar approach to show sentiment (Better, Stay the same, Worse).", "elementsJson": [ "bar_chart_stacked", "paragraph" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 18:19:20.177+00", "seconds": 2.514, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e87-7479-8208-2bfe3ad2f5e5/35", "deck": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5", "deckAnchor": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5#slide-35", "deckJson": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5.json" }, "components": [ { "bbox": { "h": 0.8, "w": 0.65, "x": 0.28, "y": 0.08 }, "kind": "chart", "text": "Stacked bar chart of 32 countries plus global average", "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 18:19:20.177+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "5f3eb3c6-0a75-4a04-a01a-47a4628521f2", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Percentage of respondents: 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": "2026-04-24 15:54:27+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-22ff-774c-a152-3fabb155fa46", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.2, "x": 0.05, "y": 0.8 }, "kind": "subtitle", "text": "Base: 23,685 online adults under age 75 across 32 countries, interviewed April 19 – May 3, 2024", "attrs": null, "canon": { "kind": { "name": "Subtitle", "slug": "subtitle", "status": "active", "canonId": "82d821ee-2793-42e7-8f16-c6131385a3ce", "version": 1, "description": "Header-zone supporting text near the title (= ex body.description with bbox)." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:19:20.177+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "0238a06e-22b7-4d4a-8f92-95c41af202e4", "parentComponentId": null }, { "bbox": { "h": 0.3, "w": 0.2, "x": 0.05, "y": 0.1 }, "kind": "title", "text": "Do you think the increased use of artificial intelligence will make the following better, worse or stay the same in the next 3-5 years? – The amount of disinformation on the internet", "attrs": null, "canon": { "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 18:19:20.177+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "e6fccb14-cc34-4e67-ad64-2f1d1bc64456", "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": "019dea97-af16-718d-b2d9-37d988c1bae4", "evidence": "Diverging stacked bar by country.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 65, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 35, "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": "019dea97-aef1-7228-9532-01f869d934c0", "evidence": "Tri-color sentiment palette consistent with p34.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 35, "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": "4161a9ff-5a0b-43ee-938c-be9f81390d4e", "evidence": "The slide features a stacked bar chart of 32 countries plus global average.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 21:42:59.100877+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 35, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 40, "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": 10, "name": "The Implications (So What)", "beatId": "019dea97-a0e9-7179-9519-a7ed034a31d3", "matchId": "019dea97-a09d-7447-afdb-1ecd12abe343", "beatType": null, "evidence": "Three thematic sections: Knowledge, Trust, Future impact across countries and generations.", "position": 2, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 55 } ], "loops": [ { "to": 40, "from": 28, "loop": { "name": "40_mece_breakdown", "slug": "40-mece-breakdown", "status": "active", "bestFor": "Problem structuring, ensuring completeness, strategic analysis", "canonId": "019dd956-763c-765e-8b68-6ee3ae1ef184", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Whole -> Category A (distinct) -> Category B (distinct) -> Category C (distinct) -> Complete Coverage", "description": "Divide a complex topic into mutually exclusive, collectively exhaustive categories", "familyLabel": null }, "matchId": "019dea97-a1a6-7500-8bbd-d19a6e453ca3", "evidence": "Slides cover jobs (p30-31), job replacement (p32-33), disinformation (p35), economy (p37), entertainment (p38), time (p39), health (p40).", "position": 4, "objective": "Decompose AI's future impact into distinct life domains", "confidence": 65, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 36, "type": "analysis", "title": "The chart is sorted by the 'Better' category in descending order.", "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": 32, "componentCount": 4, "textChars": 329, "nDataPoints": 96, "notes": "The chart is sorted by the 'Better' category in descending order.", "elementsJson": [ "bar_chart_stacked", "data_table" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 18:19:20.497+00", "seconds": 2.818, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e87-7479-8208-2bfe3ad2f5e5/36", "deck": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5", "deckAnchor": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5#slide-36", "deckJson": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5.json" }, "components": [ { "bbox": { "h": 0.85, "w": 0.65, "x": 0.28, "y": 0.08 }, "kind": "chart", "text": "Stacked bar chart of AI impact on job market by country", "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 18:19:20.497+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "96a5a494-2cfc-4c88-996b-f6c22b3f6390", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.2, "x": 0.05, "y": 0.8 }, "kind": "disclaimer", "text": "Base: 23,685 online adults under age 75 across 32 countries, interviewed April 19 - May 3, 2024", "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 18:19:20.497+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "90c2dac3-cb58-4fe0-8608-fef80c2b689b", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Sentiment on AI impact: 52%", "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": "2026-04-24 15:54:38+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-22ff-774c-a155-e52c6bbff567", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.2, "x": 0.05, "y": 0.1 }, "kind": "title", "text": "Do you think the increased use of artificial intelligence will make the following better, worse or stay the same in the next 3-5 years? - The job market", "attrs": null, "canon": { "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 18:19:20.497+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "4e61e00c-1997-402c-a62f-f142d9aa0723", "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": "019dea97-af60-72cb-8854-08bb052b54a8", "evidence": "Diverging stacked bar by country.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 65, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 36, "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": "019dea97-af3c-770b-bb92-8a181e88a493", "evidence": "Same tri-color sentiment palette.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 36, "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": "29b05bf7-da85-4f86-b363-f160c1006fe7", "evidence": "The slide features a stacked bar chart of AI impact on job market by country.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 21:42:59.184544+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 36, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 40, "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": 10, "name": "The Implications (So What)", "beatId": "019dea97-a0e9-7179-9519-a7ed034a31d3", "matchId": "019dea97-a09d-7447-afdb-1ecd12abe343", "beatType": null, "evidence": "Three thematic sections: Knowledge, Trust, Future impact across countries and generations.", "position": 2, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 55 } ], "loops": [ { "to": 40, "from": 28, "loop": { "name": "40_mece_breakdown", "slug": "40-mece-breakdown", "status": "active", "bestFor": "Problem structuring, ensuring completeness, strategic analysis", "canonId": "019dd956-763c-765e-8b68-6ee3ae1ef184", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Whole -> Category A (distinct) -> Category B (distinct) -> Category C (distinct) -> Complete Coverage", "description": "Divide a complex topic into mutually exclusive, collectively exhaustive categories", "familyLabel": null }, "matchId": "019dea97-a1a6-7500-8bbd-d19a6e453ca3", "evidence": "Slides cover jobs (p30-31), job replacement (p32-33), disinformation (p35), economy (p37), entertainment (p38), time (p39), health (p40).", "position": 4, "objective": "Decompose AI's future impact into distinct life domains", "confidence": 65, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 37, "type": "analysis", "title": "Data source: Ipsos AI Monitor. Base: 23,685 online adults under age 75 across 32 countries, interviewed April 19 – May 3, 2024.", "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": 5, "textChars": 340, "nDataPoints": 96, "notes": "Data source: Ipsos AI Monitor. Base: 23,685 online adults under age 75 across 32 countries, interviewed April 19 – May 3, 2024.", "elementsJson": [ "bar_chart_stacked", "data_table" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 18:19:20.319+00", "seconds": 2.518, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e87-7479-8208-2bfe3ad2f5e5/37", "deck": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5", "deckAnchor": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5#slide-37", "deckJson": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5.json" }, "components": [ { "bbox": { "h": 0.85, "w": 0.65, "x": 0.28, "y": 0.05 }, "kind": "chart", "text": "Stacked bar chart of sentiment by country", "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 18:19:20.319+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "d18d63bf-f39e-40a4-afea-88f52dfe1d2f", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Percentage of respondents: 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": "2026-04-24 15:54:28+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-22ff-774c-a152-532bf34452f2", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.1, "x": 0.03, "y": 0.95 }, "kind": "source-note", "text": "© Ipsos AI Monitor", "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 18:19:20.319+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "ef2df094-dda0-4f7b-a624-a08e027875fe", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.2, "x": 0.05, "y": 0.8 }, "kind": "subtitle", "text": "Base: 23,685 online adults under age 75 across 32 countries, interviewed April 19 – May 3, 2024", "attrs": null, "canon": { "kind": { "name": "Subtitle", "slug": "subtitle", "status": "active", "canonId": "82d821ee-2793-42e7-8f16-c6131385a3ce", "version": 1, "description": "Header-zone supporting text near the title (= ex body.description with bbox)." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:19:20.319+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "595d9abf-68e2-41e2-8bd7-87eac76ac838", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.2, "x": 0.05, "y": 0.1 }, "kind": "title", "text": "Do you think the increased use of artificial intelligence will make the following better, worse or stay the same in the next 3-5 years? - The economy in ...", "attrs": null, "canon": { "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 18:19:20.319+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "e2515129-d694-4e25-9a58-e3d248b678d6", "parentComponentId": null } ], "metrics": [], "tools": [ { "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": "019dea97-afa9-756c-8377-8e285442c757", "evidence": "Country labels annotate stacked-bar segments.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 60, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 37, "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": "019dea97-af85-73eb-a0c7-136e6eccdcf5", "evidence": "Tri-color sentiment palette.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 37, "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": "9cc546f2-5ffa-4673-b44f-643e5a057238", "evidence": "The slide features a stacked bar chart of sentiment by country.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 21:42:59.26832+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 37, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 40, "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": 10, "name": "The Implications (So What)", "beatId": "019dea97-a0e9-7179-9519-a7ed034a31d3", "matchId": "019dea97-a09d-7447-afdb-1ecd12abe343", "beatType": null, "evidence": "Three thematic sections: Knowledge, Trust, Future impact across countries and generations.", "position": 2, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 55 } ], "loops": [ { "to": 40, "from": 28, "loop": { "name": "40_mece_breakdown", "slug": "40-mece-breakdown", "status": "active", "bestFor": "Problem structuring, ensuring completeness, strategic analysis", "canonId": "019dd956-763c-765e-8b68-6ee3ae1ef184", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Whole -> Category A (distinct) -> Category B (distinct) -> Category C (distinct) -> Complete Coverage", "description": "Divide a complex topic into mutually exclusive, collectively exhaustive categories", "familyLabel": null }, "matchId": "019dea97-a1a6-7500-8bbd-d19a6e453ca3", "evidence": "Slides cover jobs (p30-31), job replacement (p32-33), disinformation (p35), economy (p37), entertainment (p38), time (p39), health (p40).", "position": 4, "objective": "Decompose AI's future impact into distinct life domains", "confidence": 65, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 38, "type": "analysis", "title": "Data source: Ipsos AI Monitor. Base: 23,685 online adults under age 75 across 32 countries, interviewed April 19 – May 3, 2024.", "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": 35, "componentCount": 4, "textChars": 400, "nDataPoints": 96, "notes": "Data source: Ipsos AI Monitor. Base: 23,685 online adults under age 75 across 32 countries, interviewed April 19 – May 3, 2024.", "elementsJson": [ "bar_chart_stacked", "data_table" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 18:19:20.736+00", "seconds": 2.564, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e87-7479-8208-2bfe3ad2f5e5/38", "deck": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5", "deckAnchor": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5#slide-38", "deckJson": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5.json" }, "components": [ { "bbox": { "h": 0.85, "w": 0.68, "x": 0.28, "y": 0.05 }, "kind": "chart", "text": "Stacked bar chart of sentiment by country", "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 (100%)", "slug": "bar-stacked-100pct", "status": "active", "canonId": "019de52c-ff14-71b8-8d88-860f8d7da84b", "version": 1, "description": null }, "framework": null }, "subkind": "bar-stacked-100pct", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:19:20.736+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "60c2f1bc-d234-4da2-9287-e2a699decb52", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.2, "x": 0.05, "y": 0.8 }, "kind": "disclaimer", "text": "Base: 23,685 online adults under age 75 across 32 countries, interviewed April 19 – May 3, 2024.", "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 18:19:20.736+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "fb4ec45b-3266-470f-957f-b6aa6e4e1a3a", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Percentage of respondents expecting improvement: 51%", "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": "2026-04-24 15:54:29+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-22ff-774c-a152-d4dc8057bc38", "parentComponentId": null }, { "bbox": { "h": 0.3, "w": 0.2, "x": 0.05, "y": 0.1 }, "kind": "title", "text": "Do you think the increased use of artificial intelligence will make the following better, worse or stay the same in the next 3-5 years? - My entertainment options (television/video content, movies, music, books)", "attrs": null, "canon": { "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 18:19:20.736+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "9b17697c-979f-497b-82e4-d8cc9e61a1da", "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": "019dea97-aff3-71aa-925d-8bbfb7f277f7", "evidence": "Diverging stacked bar by country.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 65, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 38, "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": "019dea97-afcd-774a-abb8-d206f8bd33ec", "evidence": "Tri-color sentiment palette.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 38, "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": "1c457911-94f8-41bd-b766-0456249464fe", "evidence": "The slide features a stacked bar chart of sentiment by country.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 21:42:59.351827+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 38, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 40, "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": 10, "name": "The Implications (So What)", "beatId": "019dea97-a0e9-7179-9519-a7ed034a31d3", "matchId": "019dea97-a09d-7447-afdb-1ecd12abe343", "beatType": null, "evidence": "Three thematic sections: Knowledge, Trust, Future impact across countries and generations.", "position": 2, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 55 } ], "loops": [ { "to": 40, "from": 28, "loop": { "name": "40_mece_breakdown", "slug": "40-mece-breakdown", "status": "active", "bestFor": "Problem structuring, ensuring completeness, strategic analysis", "canonId": "019dd956-763c-765e-8b68-6ee3ae1ef184", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Whole -> Category A (distinct) -> Category B (distinct) -> Category C (distinct) -> Complete Coverage", "description": "Divide a complex topic into mutually exclusive, collectively exhaustive categories", "familyLabel": null }, "matchId": "019dea97-a1a6-7500-8bbd-d19a6e453ca3", "evidence": "Slides cover jobs (p30-31), job replacement (p32-33), disinformation (p35), economy (p37), entertainment (p38), time (p39), health (p40).", "position": 4, "objective": "Decompose AI's future impact into distinct life domains", "confidence": 65, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 39, "type": "analysis", "title": "The chart displays three categories: Better (dark blue), Stay the same (yellow), and Worse (teal).", "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": 34, "componentCount": 4, "textChars": 382, "nDataPoints": 96, "notes": "The chart displays three categories: Better (dark blue), Stay the same (yellow), and Worse (teal).", "elementsJson": [ "bar_chart_stacked", "data_table" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 18:19:20.698+00", "seconds": 2.459, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e87-7479-8208-2bfe3ad2f5e5/39", "deck": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5", "deckAnchor": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5#slide-39", "deckJson": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5.json" }, "components": [ { "bbox": { "h": 0.85, "w": 0.68, "x": 0.28, "y": 0.08 }, "kind": "chart", "text": "Stacked bar chart of survey responses by country", "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 18:19:20.698+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "78523203-ac1c-42d2-bcb8-2071c65b7b15", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Percentage of respondents expecting improvement: 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": "2026-04-24 15:54:29+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-22ff-774c-a152-c26b83db6343", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.2, "x": 0.05, "y": 0.1 }, "kind": "paragraph", "text": "Do you think the increased use of artificial intelligence will make the following better, worse or stay the same in the next 3-5 years? - The amount of time it takes me to get things done", "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 18:19:20.698+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "3f20bedd-deeb-49df-af34-d51a5cf92312", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.2, "x": 0.05, "y": 0.8 }, "kind": "source-note", "text": "Base: 23,685 online adults under age 75 across 32 countries, interviewed April 19 – May 3, 2024", "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 18:19:20.698+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "8956abd8-6f7d-43db-9b9a-89f0683405af", "parentComponentId": null } ], "metrics": [], "tools": [ { "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": "019dea97-b03d-739c-b5f7-e8d386a9af27", "evidence": "Category labels annotate the diverging bar.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 60, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 39, "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": "019dea97-b017-736e-b90a-e627995178c8", "evidence": "Better/Same/Worse encoded as navy/yellow/teal.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 39, "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": "8c10d107-3b50-4572-b097-12a1015d1d88", "evidence": "The slide features a stacked bar chart of survey responses by country.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 21:42:59.435801+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 39, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 40, "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": 10, "name": "The Implications (So What)", "beatId": "019dea97-a0e9-7179-9519-a7ed034a31d3", "matchId": "019dea97-a09d-7447-afdb-1ecd12abe343", "beatType": null, "evidence": "Three thematic sections: Knowledge, Trust, Future impact across countries and generations.", "position": 2, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 55 } ], "loops": [ { "to": 40, "from": 28, "loop": { "name": "40_mece_breakdown", "slug": "40-mece-breakdown", "status": "active", "bestFor": "Problem structuring, ensuring completeness, strategic analysis", "canonId": "019dd956-763c-765e-8b68-6ee3ae1ef184", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Whole -> Category A (distinct) -> Category B (distinct) -> Category C (distinct) -> Complete Coverage", "description": "Divide a complex topic into mutually exclusive, collectively exhaustive categories", "familyLabel": null }, "matchId": "019dea97-a1a6-7500-8bbd-d19a6e453ca3", "evidence": "Slides cover jobs (p30-31), job replacement (p32-33), disinformation (p35), economy (p37), entertainment (p38), time (p39), health (p40).", "position": 4, "objective": "Decompose AI's future impact into distinct life domains", "confidence": 65, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 40, "type": "analysis", "title": "Data source: Ipsos AI Monitor. Base: 23,685 online adults under age 75 across 32 countries, interviewed April 19 – May 3, 2024.", "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": 33, "componentCount": 4, "textChars": 359, "nDataPoints": 96, "notes": "Data source: Ipsos AI Monitor. Base: 23,685 online adults under age 75 across 32 countries, interviewed April 19 – May 3, 2024.", "elementsJson": [ "bar_chart_stacked", "data_table" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 18:19:20.506+00", "seconds": 2.242, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e87-7479-8208-2bfe3ad2f5e5/40", "deck": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5", "deckAnchor": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5#slide-40", "deckJson": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5.json" }, "components": [ { "bbox": { "h": 0.85, "w": 0.68, "x": 0.28, "y": 0.05 }, "kind": "chart", "text": "Stacked bar chart showing sentiment (Better, Stay the same, Worse) across 32 countries.", "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 18:19:20.506+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "1080af76-2539-4322-82f4-10d5322fd625", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Percentage of respondents: 38%", "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": "2026-04-24 15:54:29+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-22ff-774c-a152-f9ac491094ee", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.2, "x": 0.05, "y": 0.8 }, "kind": "paragraph", "text": "Base: 23,685 online adults under age 75 across 32 countries, interviewed April 19 – May 3, 2024", "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 18:19:20.506+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "386499e0-2313-4e12-91d0-227a28b1577b", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.2, "x": 0.05, "y": 0.1 }, "kind": "title", "text": "Do you think the increased use of artificial intelligence will make the following better, worse or stay the same in the next 3-5 years? – My health", "attrs": null, "canon": { "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 18:19:20.506+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "cd07b370-6b4a-43cd-a214-9ec17bdcf830", "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": "019dea97-b086-702e-9feb-5c08fe8fdc26", "evidence": "Diverging stacked bar by country.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 65, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 40, "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": "019dea97-b062-75df-bd74-f6970e47f094", "evidence": "Tri-color sentiment palette.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 40, "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": "8804e874-ef17-405c-8f17-9d4b7422efb6", "evidence": "The slide features a stacked bar chart showing sentiment (Better, Stay the same, Worse) across 32 countries.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 21:42:59.518575+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 40, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 40, "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": 10, "name": "The Implications (So What)", "beatId": "019dea97-a0e9-7179-9519-a7ed034a31d3", "matchId": "019dea97-a09d-7447-afdb-1ecd12abe343", "beatType": null, "evidence": "Three thematic sections: Knowledge, Trust, Future impact across countries and generations.", "position": 2, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 55 } ], "loops": [ { "to": 40, "from": 28, "loop": { "name": "40_mece_breakdown", "slug": "40-mece-breakdown", "status": "active", "bestFor": "Problem structuring, ensuring completeness, strategic analysis", "canonId": "019dd956-763c-765e-8b68-6ee3ae1ef184", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Whole -> Category A (distinct) -> Category B (distinct) -> Category C (distinct) -> Complete Coverage", "description": "Divide a complex topic into mutually exclusive, collectively exhaustive categories", "familyLabel": null }, "matchId": "019dea97-a1a6-7500-8bbd-d19a6e453ca3", "evidence": "Slides cover jobs (p30-31), job replacement (p32-33), disinformation (p35), economy (p37), entertainment (p38), time (p39), health (p40).", "position": 4, "objective": "Decompose AI's future impact into distinct life domains", "confidence": 65, "extraction": { "at": "2026-05-02 21:28:18.637643+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } } ], "locked": true }, { "page": 41, "type": "appendix", "function": "appendix", "rawType": "appendix_methodology", "block": null, "metadata": { "slideType": "appendix_methodology", "slideTypeCanon": { "name": "Appendix methodology", "slug": "appendix_methodology", "status": "active", "canonId": "019de52d-07d9-726c-8599-167f2d2ffaa7", "version": 1, "description": null }, "function": "appendix", "functionCanon": { "name": "Appendix", "slug": "appendix", "status": "active", "canonId": "019de52d-138d-750b-83c3-49b4bc7a7a38", "version": 1, "description": null }, "density": "sparse", "densityScore": 5, "componentCount": 3, "textChars": 29, "nDataPoints": 0, "notes": null, "elementsJson": [ "headline_text", "photo", "logo_grid" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 18:19:20.545+00", "seconds": 2.23, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e87-7479-8208-2bfe3ad2f5e5/41", "deck": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5", "deckAnchor": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5#slide-41", "deckJson": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5.json" }, "components": [ { "bbox": { "h": 0.06, "w": 0.04, "x": 0.922, "y": 0.898 }, "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": "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 18:19:20.545+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "cef29e52-cf27-4eb1-b70f-9ae42f399a8f", "parentComponentId": null }, { "bbox": { "h": 0.02, "w": 0.1, "x": 0.035, "y": 0.95 }, "kind": "paragraph", "text": "© Ipsos AI Monitor", "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 18:19:20.545+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "7c17b2a5-6bcc-49a8-8379-e7b5b9731068", "parentComponentId": null }, { "bbox": { "h": 0.088, "w": 0.295, "x": 0.035, "y": 0.208 }, "kind": "title", "text": "Methodology", "attrs": null, "canon": { "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 18:19:20.545+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "691cd8e7-0b46-4281-a18f-ae06aeb88034", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 43, "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": 41, "name": "The Action (Now What)", "beatId": "019dea97-a110-74ee-aff4-6a8b48b8a1d1", "matchId": "019dea97-a09d-7447-afdb-1ecd12abe343", "beatType": null, "evidence": "Methodology and 'For more information' contact slide; no recommendation.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 55 } ], "loops": [], "locked": true }, { "page": 42, "type": "appendix", "title": "Standard Ipsos methodology disclosure slide.", "function": "appendix", "rawType": "appendix_methodology", "block": null, "metadata": { "slideType": "appendix_methodology", "slideTypeCanon": { "name": "Appendix methodology", "slug": "appendix_methodology", "status": "active", "canonId": "019de52d-07d9-726c-8599-167f2d2ffaa7", "version": 1, "description": null }, "function": "appendix", "functionCanon": { "name": "Appendix", "slug": "appendix", "status": "active", "canonId": "019de52d-138d-750b-83c3-49b4bc7a7a38", "version": 1, "description": null }, "density": "dense", "densityScore": 63, "componentCount": 6, "textChars": 3048, "nDataPoints": 0, "notes": "Standard Ipsos methodology disclosure slide.", "elementsJson": [ "paragraph", "callout_box" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 18:19:22.834+00", "seconds": 4.367, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e87-7479-8208-2bfe3ad2f5e5/42", "deck": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5", "deckAnchor": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5#slide-42", "deckJson": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "The data is weighted so that the composition of each country's sample best reflects the demographic profile of the adult population according to the most recent census 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": "2026-04-24 15:54:40+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-22ff-774c-a156-0e7e589684be", "parentComponentId": null }, { "bbox": { "h": 0.3, "w": 0.4, "x": 0.05, "y": 0.45 }, "kind": "paragraph", "text": "The sample consists of approximately 1,000 individuals each in Australia, Brazil, Canada, mainland China, France, Germany, Great Britain, Italy, Japan, New Zealand, Spain, and the U.S., and 500 individuals each in Argentina, Belgium, Chile, Colombia, Hungary, Indonesia, Ireland, Malaysia, Mexico, the Netherlands, Peru, Poland, Singapore, South Africa, South Korea, Sweden, Switzerland, Thailand, and Türkiye. The sample in India consists of approximately 2,200 individuals, of whom approximately 1,800 were interviewed face-to-face and 400 were interviewed online.", "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 18:19:22.834+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "3d16065b-087c-4877-9a42-fd914c540cb2", "parentComponentId": null }, { "bbox": { "h": 0.25, "w": 0.4, "x": 0.05, "y": 0.18 }, "kind": "paragraph", "text": "These are the results of a 32-country survey conducted by Ipsos on its Global Advisor online platform and, in India, on its IndiaBus platform, between Friday, April 19 and Friday, May 3, 2024. For this survey, Ipsos interviewed a total of 23,685 adults aged 18 years and older in India, 18-74 in Canada, Republic of Ireland, Israel, Malaysia, South Africa, Türkiye, and the United States, 20-74 in Thailand, 21-74 in Indonesia and Singapore, and 16-74 in all other countries.", "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 18:19:22.834+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "49ac38f9-1e27-44f0-bde3-28a2a28e6442", "parentComponentId": null }, { "bbox": { "h": 0.75, "w": 0.42, "x": 0.53, "y": 0.18 }, "kind": "paragraph", "text": "India’s sample represents a large subset of its urban population – social economic classes A, B and C in metros and tier 1-3 town classes across all four zones. The data is weighted so that the composition of each country's sample best reflects the demographic profile of the adult population according to the most recent census data. “The 32-country average” reflects the average result for all the countries and markets in which the survey was conducted. It has not been adjusted to the population size of each country or market and is not intended to suggest a total result. When percentages do not sum up to 100 or the ‘difference’ appears to be +/-1 percentage point more/less than the actual result, this may be due to rounding, multiple responses, or the exclusion of “don't know” or not stated responses. The precision of Ipsos online polls is calculated using a credibility interval with a poll where N=1,000 being accurate to +/- 3.5 percentage points and of where N=500 being accurate to +/- 5.0 percentage points. For more information on Ipsos' use of credibility intervals, please visit the Ipsos website. The publication of these findings abides by local rules and regulations.", "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 18:19:22.834+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "9ae27627-cee7-44f2-958c-91bfe03621b8", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.4, "x": 0.05, "y": 0.75 }, "kind": "paragraph", "text": "Samples in Argentina, Australia, Belgium, Canada, France, Germany, Great Britain, Hungary, Italy, Japan, the Netherlands, New Zealand, Poland, South Korea, Spain, Sweden, Switzerland, and the U.S. can be considered representative of their general adult populations under the age of 75. Samples in Brazil, Chile, China, Colombia, Indonesia, Ireland, Malaysia, Mexico, Peru, Singapore, South Africa, Thailand, and Turkey are more urban, more educated, and/or more affluent than the general population. The survey results for these countries should be viewed as reflecting the views of the more “connected” segment of their population.", "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 18:19:22.834+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "f7a76450-ad5c-49d0-a426-b02faf623789", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.2, "x": 0.05, "y": 0.1 }, "kind": "title", "text": "Methodology", "attrs": null, "canon": { "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 18:19:22.834+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "b72086bd-ec0b-46da-87c9-3948eee872d6", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 43, "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": 41, "name": "The Action (Now What)", "beatId": "019dea97-a110-74ee-aff4-6a8b48b8a1d1", "matchId": "019dea97-a09d-7447-afdb-1ecd12abe343", "beatType": null, "evidence": "Methodology and 'For more information' contact slide; no recommendation.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 55 } ], "loops": [], "locked": true }, { "page": 43, "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": "sparse", "densityScore": 13, "componentCount": 4, "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 18:19:21.295+00", "seconds": 2.772, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5e87-7479-8208-2bfe3ad2f5e5/43", "deck": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5", "deckAnchor": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5#slide-43", "deckJson": "/decks/019dd923-5e87-7479-8208-2bfe3ad2f5e5.json" }, "components": [ { "bbox": { "h": 0.063, "w": 0.039, "x": 0.923, "y": 0.899 }, "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": "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 18:19:21.295+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "674acb1d-218c-4ec7-9fce-97c3261e2049", "parentComponentId": null }, { "bbox": { "h": 0.135, "w": 0.201, "x": 0.036, "y": 0.425 }, "kind": "paragraph", "text": "Jamie Stinson\nContent Director, IKC\nIpsos\nJamie.Stinson@ipsos.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 18:19:21.295+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "15e94c1b-c419-4b8d-b78f-d0a53686f5d3", "parentComponentId": null }, { "bbox": { "h": 0.013, "w": 0.145, "x": 0.036, "y": 0.948 }, "kind": "source-note", "text": "© Ipsos Cost of Living Monitor", "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 18:19:21.295+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "3b43f7d5-bc5b-4340-9cca-b1e20bb6e572", "parentComponentId": null }, { "bbox": { "h": 0.038, "w": 0.313, "x": 0.036, "y": 0.218 }, "kind": "title", "text": "For more information", "attrs": null, "canon": { "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 18:19:21.295+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "239803b9-bf71-497e-9079-df67f721ab5c", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 43, "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": 41, "name": "The Action (Now What)", "beatId": "019dea97-a110-74ee-aff4-6a8b48b8a1d1", "matchId": "019dea97-a09d-7447-afdb-1ecd12abe343", "beatType": null, "evidence": "Methodology and 'For more information' contact slide; no recommendation.", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 55 } ], "loops": [], "locked": true } ], "arcBeats": [ { "from": 1, "to": 9, "label": "The Facts (What)", "description": "Cover, contents, lead takeaway and at-a-glance summary stats." }, { "from": 10, "to": 40, "label": "The Implications (So What)", "description": "Three thematic sections: Knowledge, Trust, Future impact across countries and generations." }, { "from": 41, "to": 43, "label": "The Action (Now What)", "description": "Methodology and 'For more information' contact slide; no recommendation." } ], "loops": [ { "from": 2, "to": 9, "label": "So What Cascade", "description": "Lead with headline finding then cascade summary insights" }, { "from": 11, "to": 18, "label": "Segmentation Split", "description": "Show how AI knowledge and sentiment split by country and generation" }, { "from": 20, "to": 26, "label": "Tale Two Worlds", "description": "Contrast trust in AI versus trust in people on discrimination and data" }, { "from": 28, "to": 40, "label": "Mece Breakdown", "description": "Decompose AI's future impact into distinct life domains" } ] }