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        "extraction": {
          "at": "2026-04-29 13:07:29.779839+00",
          "model": "claude-legacy",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        }
      },
      {
        "to": 60,
        "from": 54,
        "loop": {
          "name": "36_maturity_curve",
          "slug": "36-maturity-curve",
          "status": "active",
          "bestFor": "Digital transformation, capability building, benchmarking",
          "canonId": "019dd956-748d-7329-ad3a-5c550b66e275",
          "version": 1,
          "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21",
          "structure": "Current Maturity Level -> The Gap to Next Level -> Required Capabilities -> The Roadmap",
          "description": "Show where you are on a progression and what it takes to reach the next level",
          "familyLabel": null,
          "categoryName": "Consulting Framework",
          "categorySlug": "consulting-framework"
        },
        "matchId": "019dd95a-08f8-7619-ac2e-60d775897cb3",
        "evidence": "'Standard tech procurement questions', cloud at 30%, only 25% of CIOs launched anything.",
        "position": 6,
        "objective": "Position AI deployment on the standard tech-adoption curve",
        "confidence": 70,
        "extraction": {
          "at": "2026-04-29 13:07:29.779839+00",
          "model": "claude-legacy",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        }
      },
      {
        "to": 71,
        "from": 61,
        "loop": {
          "name": "17_pivot",
          "slug": "17-pivot",
          "status": "active",
          "bestFor": "Project updates, board meetings, agile retrospectives",
          "canonId": "019dd956-6cb8-75df-ace2-c84adc747974",
          "version": 1,
          "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21",
          "structure": "The Original Hypothesis -> The New Discovery -> The Strategic Shift",
          "description": "Validate a change in direction by showing it is a reaction to new intelligence, not failure",
          "familyLabel": null,
          "categoryName": "Change Management",
          "categorySlug": "change-management"
        },
        "matchId": "019dd95a-08f8-7619-ac2e-66ce90467281",
        "evidence": "Bundle/unbundle quote, 'three models for LLM product', 'AI is whatever doesn't work yet'.",
        "position": 7,
        "objective": "Reframe LLMs: feature, platform, infra, or new UX?",
        "confidence": 65,
        "extraction": {
          "at": "2026-04-29 13:07:29.779839+00",
          "model": "claude-legacy",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        }
      },
      {
        "to": 85,
        "from": 73,
        "loop": {
          "name": "06_zoom_in",
          "slug": "06-zoom-in",
          "status": "active",
          "bestFor": "Technical deep-dives, case studies, detailed analysis",
          "canonId": "019dd956-6846-74db-82be-dff5b058b072",
          "version": 1,
          "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21",
          "structure": "The Big Picture -> Key Area of Focus -> Specific Detail -> Implication",
          "description": "Start broad, then progressively focus on specific details that prove your point",
          "familyLabel": null,
          "categoryName": "Analysis",
          "categorySlug": "analysis"
        },
        "matchId": "019dd95a-08f8-7619-ac2e-6bf09bba929a",
        "evidence": "Distinct subsections per sector with one chart each; Meta VR, Shein, Shopify, Instacart, Tesla/BEVs.",
        "position": 8,
        "objective": "Sector-by-sector zooms (VR, e-commerce, media, autos) to keep AI in perspective",
        "confidence": 70,
        "extraction": {
          "at": "2026-04-29 13:07:29.779839+00",
          "model": "claude-legacy",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        }
      },
      {
        "to": 89,
        "from": 86,
        "loop": {
          "name": "28_ladder_abstraction",
          "slug": "28-ladder-abstraction",
          "status": "active",
          "bestFor": "Training, thought leadership, making complex ideas accessible",
          "canonId": "019dd956-7130-74be-a168-9f76c603044d",
          "version": 1,
          "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21",
          "structure": "The Concrete Example -> The Pattern It Represents -> The Universal Principle -> Back to Specific Application",
          "description": "Move between concrete examples and abstract principles to make ideas stick",
          "familyLabel": null,
          "categoryName": "Explanation",
          "categorySlug": "explanation"
        },
        "matchId": "019dd95a-08f8-7619-ac2e-6eab9e94d4c2",
        "evidence": "'Intelligence is whatever machines haven't done yet' generalised; Otis automatic elevator concrete callback.",
        "position": 9,
        "objective": "Lift specific cases up to a universal principle: tech that works disappears",
        "confidence": 65,
        "extraction": {
          "at": "2026-04-29 13:07:29.779839+00",
          "model": "claude-legacy",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        }
      }
    ],
    "tools": [
      {
        "tool": {
          "name": "Curiosity Gap",
          "slug": "curiosity-gap",
          "status": "active",
          "bestFor": null,
          "canonId": "019dd956-9703-74ef-8b85-96dfd8525025",
          "version": 1,
          "bodyDocId": null,
          "description": "People seek missing information - create open questions that demand resolution",
          "familyLabel": null,
          "categoryName": "Block",
          "categorySlug": "block"
        },
        "agent": "Storyteller",
        "layer": "block",
        "agents": [
          "Storyteller"
        ],
        "matchId": "019dd95a-1b83-7130-933a-37ed398d0861",
        "evidence": "Sets up 'something revolutionary' without yet saying what",
        "pageRefs": null,
        "priority": null,
        "whenToUse": null,
        "confidence": 60,
        "extraction": {
          "at": "2026-04-29 13:07:34.53104+00",
          "model": "claude-legacy",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 2,
        "whyItWorks": null,
        "antipattern": null,
        "cardinality": null,
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      },
      {
        "tool": {
          "name": "Anchoring Bias",
          "slug": "anchoring-bias",
          "status": "active",
          "bestFor": null,
          "canonId": "019dd956-9254-73de-8f1b-c7250f8f4c9c",
          "version": 1,
          "bodyDocId": null,
          "description": "First piece of information becomes reference point for all subsequent judgments",
          "familyLabel": null,
          "categoryName": "Block",
          "categorySlug": "block"
        },
        "agent": "Architect",
        "layer": "block",
        "agents": [
          "Architect",
          "Storyteller"
        ],
        "matchId": "019dd95a-1b83-7130-933a-3ecaf2b115e4",
        "evidence": "$157bn anchors how audience reads everything later",
        "pageRefs": null,
        "priority": null,
        "whenToUse": null,
        "confidence": 75,
        "extraction": {
          "at": "2026-04-29 13:07:34.53104+00",
          "model": "claude-legacy",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 3,
        "whyItWorks": null,
        "antipattern": null,
        "cardinality": null,
        "narrativePurpose": null
      },
      {
        "tool": {
          "name": "Curiosity Gap",
          "slug": "curiosity-gap",
          "status": "active",
          "bestFor": null,
          "canonId": "019dd956-9703-74ef-8b85-96dfd8525025",
          "version": 1,
          "bodyDocId": null,
          "description": "People seek missing information - create open questions that demand resolution",
          "familyLabel": null,
          "categoryName": "Block",
          "categorySlug": "block"
        },
        "agent": "Storyteller",
        "layer": "block",
        "agents": [
          "Storyteller"
        ],
        "matchId": "019dd95a-1b83-7130-933a-744059af41ff",
        "evidence": "'Working out the questions' deliberately leaves gap to fuel rest of deck",
        "pageRefs": null,
        "priority": null,
        "whenToUse": null,
        "confidence": 80,
        "extraction": {
          "at": "2026-04-29 13:07:34.53104+00",
          "model": "claude-legacy",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 10,
        "whyItWorks": null,
        "antipattern": null,
        "cardinality": null,
        "narrativePurpose": null
      },
      {
        "tool": {
          "name": "Loss Aversion",
          "slug": "loss-aversion",
          "status": "active",
          "bestFor": null,
          "canonId": "019dd956-9761-738f-8fd4-558a63ea744a",
          "version": 1,
          "bodyDocId": null,
          "description": "Losses are felt 2x more strongly than equivalent gains - frame stakes as potential loss",
          "familyLabel": null,
          "categoryName": "Block",
          "categorySlug": "block"
        },
        "agent": "Storyteller",
        "layer": "block",
        "agents": [
          "Storyteller"
        ],
        "matchId": "019dd95a-1b83-7130-933a-a49c7c853563",
        "evidence": "'Less downside than losing the next platform' frames inaction as loss",
        "pageRefs": null,
        "priority": null,
        "whenToUse": null,
        "confidence": 70,
        "extraction": {
          "at": "2026-04-29 13:07:34.53104+00",
          "model": "claude-legacy",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 16,
        "whyItWorks": null,
        "antipattern": null,
        "cardinality": null,
        "narrativePurpose": null
      },
      {
        "tool": {
          "name": "Curiosity Gap",
          "slug": "curiosity-gap",
          "status": "active",
          "bestFor": null,
          "canonId": "019dd956-9703-74ef-8b85-96dfd8525025",
          "version": 1,
          "bodyDocId": null,
          "description": "People seek missing information - create open questions that demand resolution",
          "familyLabel": null,
          "categoryName": "Block",
          "categorySlug": "block"
        },
        "agent": "Storyteller",
        "layer": "block",
        "agents": [
          "Storyteller"
        ],
        "matchId": "019dd95a-1b83-7130-933b-581409c2859d",
        "evidence": "Open question for audience",
        "pageRefs": null,
        "priority": null,
        "whenToUse": null,
        "confidence": 60,
        "extraction": {
          "at": "2026-04-29 13:07:34.53104+00",
          "model": "claude-legacy",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 42,
        "whyItWorks": null,
        "antipattern": null,
        "cardinality": null,
        "narrativePurpose": null
      },
      {
        "tool": {
          "name": "Curiosity Gap",
          "slug": "curiosity-gap",
          "status": "active",
          "bestFor": null,
          "canonId": "019dd956-9703-74ef-8b85-96dfd8525025",
          "version": 1,
          "bodyDocId": null,
          "description": "People seek missing information - create open questions that demand resolution",
          "familyLabel": null,
          "categoryName": "Block",
          "categorySlug": "block"
        },
        "agent": "Storyteller",
        "layer": "block",
        "agents": [
          "Storyteller"
        ],
        "matchId": "019dd95a-1b83-7130-933b-dac7540fd696",
        "evidence": "Open hypothetical posed to audience",
        "pageRefs": null,
        "priority": null,
        "whenToUse": null,
        "confidence": 60,
        "extraction": {
          "at": "2026-04-29 13:07:34.53104+00",
          "model": "claude-legacy",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 62,
        "whyItWorks": null,
        "antipattern": null,
        "cardinality": null,
        "narrativePurpose": null
      },
      {
        "tool": {
          "name": "The Rule of Three",
          "slug": "the-rule-of-three",
          "status": "active",
          "bestFor": null,
          "canonId": "019dd956-8962-75cf-b4f8-9394501a6f33",
          "version": 1,
          "bodyDocId": null,
          "description": "Ideas presented in threes are more memorable and satisfying",
          "familyLabel": null,
          "categoryName": "Block",
          "categorySlug": "block"
        },
        "agent": "Storyteller",
        "layer": "block",
        "agents": [
          "Storyteller"
        ],
        "matchId": "019dd95a-1b83-7130-933c-0cdaade04773",
        "evidence": "Explicit three-bucket structure",
        "pageRefs": null,
        "priority": null,
        "whenToUse": null,
        "confidence": 85,
        "extraction": {
          "at": "2026-04-29 13:07:34.53104+00",
          "model": "claude-legacy",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 69,
        "whyItWorks": null,
        "antipattern": null,
        "cardinality": null,
        "narrativePurpose": null
      },
      {
        "tool": {
          "name": "Curiosity Gap",
          "slug": "curiosity-gap",
          "status": "active",
          "bestFor": null,
          "canonId": "019dd956-9703-74ef-8b85-96dfd8525025",
          "version": 1,
          "bodyDocId": null,
          "description": "People seek missing information - create open questions that demand resolution",
          "familyLabel": null,
          "categoryName": "Block",
          "categorySlug": "block"
        },
        "agent": "Storyteller",
        "layer": "block",
        "agents": [
          "Storyteller"
        ],
        "matchId": "019dd95a-1b83-7130-933c-579245bccb47",
        "evidence": "Title posed as either/or question",
        "pageRefs": null,
        "priority": null,
        "whenToUse": null,
        "confidence": 60,
        "extraction": {
          "at": "2026-04-29 13:07:34.53104+00",
          "model": "claude-legacy",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 80,
        "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": "019dd95a-1b83-7130-933a-40426cfb6144",
        "evidence": "Dramatic reveal: Microsoft took 20 years vs OpenAI's run-rate",
        "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": 70,
        "extraction": {
          "at": "2026-04-29 13:07:34.53104+00",
          "model": "claude-legacy",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 3,
        "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": "019dd95a-1b83-7130-933a-53dd8a61665f",
        "evidence": "Glass half-full / half-empty contrast in callout",
        "pageRefs": null,
        "priority": "Core",
        "whenToUse": null,
        "confidence": 75,
        "extraction": {
          "at": "2026-04-29 13:07:34.53104+00",
          "model": "claude-legacy",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 5,
        "whyItWorks": null,
        "antipattern": null,
        "cardinality": null,
        "narrativePurpose": null
      },
      {
        "tool": {
          "name": "Mere Exposure Effect",
          "slug": "mere-exposure-effect",
          "status": "active",
          "bestFor": null,
          "canonId": "019dd956-aa39-704a-b6c8-6e7fb7173f6e",
          "version": 1,
          "bodyDocId": null,
          "description": "Repeated exposure increases liking - consistency builds familiarity",
          "familyLabel": null,
          "categoryName": "Loop",
          "categorySlug": "loop"
        },
        "agent": "Designer",
        "layer": "loop",
        "agents": [
          "Designer"
        ],
        "matchId": "019dd95a-1b83-7130-933a-5b33aee7587b",
        "evidence": "Repeated headline reinforces single takeaway",
        "pageRefs": null,
        "priority": null,
        "whenToUse": null,
        "confidence": 55,
        "extraction": {
          "at": "2026-04-29 13:07:34.53104+00",
          "model": "claude-legacy",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 6,
        "whyItWorks": null,
        "antipattern": null,
        "cardinality": null,
        "narrativePurpose": null
      },
      {
        "tool": {
          "name": "Argument from Analogy",
          "slug": "argument-from-analogy",
          "status": "active",
          "bestFor": null,
          "canonId": "019dd956-9e3d-7762-a994-72a2f7104e7c",
          "version": 1,
          "bodyDocId": null,
          "description": "Drawing conclusions based on similarities between situations",
          "familyLabel": null,
          "categoryName": "Loop",
          "categorySlug": "loop"
        },
        "agent": "Architect",
        "layer": "loop",
        "agents": [
          "Architect"
        ],
        "matchId": "019dd95a-1b83-7130-933a-6c7e114b0166",
        "evidence": "'After web and smartphones' analogy applied to AI",
        "pageRefs": null,
        "priority": null,
        "whenToUse": null,
        "confidence": 80,
        "extraction": {
          "at": "2026-04-29 13:07:34.53104+00",
          "model": "claude-legacy",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 9,
        "whyItWorks": null,
        "antipattern": null,
        "cardinality": null,
        "narrativePurpose": null
      },
      {
        "tool": {
          "name": "Chunking",
          "slug": "chunking",
          "status": "active",
          "bestFor": null,
          "canonId": "019dd956-abab-72ce-b64c-2924cc83cf39",
          "version": 1,
          "bodyDocId": null,
          "description": "Information grouped into chunks is remembered better - structure content in digestible units",
          "familyLabel": null,
          "categoryName": "Loop",
          "categorySlug": "loop"
        },
        "agent": "Architect",
        "layer": "loop",
        "agents": [
          "Architect"
        ],
        "matchId": "019dd95a-1b83-7130-933a-80a875eb6a31",
        "evidence": "Divider chunks deck into a discrete section",
        "pageRefs": null,
        "priority": null,
        "whenToUse": null,
        "confidence": 75,
        "extraction": {
          "at": "2026-04-29 13:07:34.53104+00",
          "model": "claude-legacy",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 11,
        "whyItWorks": null,
        "antipattern": null,
        "cardinality": null,
        "narrativePurpose": null
      },
      {
        "tool": {
          "name": "Information Gap Theory",
          "slug": "information-gap-theory",
          "status": "active",
          "bestFor": null,
          "canonId": "019dd956-a856-765e-88bc-f703bdfec762",
          "version": 1,
          "bodyDocId": null,
          "description": "Curiosity arises from gap between what we know and want to know",
          "familyLabel": null,
          "categoryName": "Loop",
          "categorySlug": "loop"
        },
        "agent": "Storyteller",
        "layer": "loop",
        "agents": [
          "Storyteller"
        ],
        "matchId": "019dd95a-1b83-7130-933a-7dc906fd8ad8",
        "evidence": "Section divider posed as question 'How far will this scale?'",
        "pageRefs": null,
        "priority": null,
        "whenToUse": null,
        "confidence": 80,
        "extraction": {
          "at": "2026-04-29 13:07:34.53104+00",
          "model": "claude-legacy",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 11,
        "whyItWorks": null,
        "antipattern": null,
        "cardinality": null,
        "narrativePurpose": null
      },
      {
        "tool": {
          "name": "Argument from Analogy",
          "slug": "argument-from-analogy",
          "status": "active",
          "bestFor": null,
          "canonId": "019dd956-9e3d-7762-a994-72a2f7104e7c",
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        "extraction": {
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          "bestFor": "Any slide that carries an argument or finding. The diagnostic: if the slide has a chart on it, it needs a core message. Run extraction whenever the current title is a topic (Q3 performance, Customer satisfaction) rather than a claim, or when a reader could reasonably draw more than one conclusion from the visible evidence.",
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        "evidence": "'Foundational question: will LLMs keep scaling?'",
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      {
        "tool": {
          "name": "Hypothesis-Driven Structure",
          "slug": "hypothesis-driven-structure",
          "status": "active",
          "bestFor": null,
          "canonId": "019dd956-833f-7419-9932-be80362019a7",
          "version": 1,
          "bodyDocId": null,
          "description": "Start with a hypothesis and organize evidence to prove/disprove it",
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          "categoryName": "Block",
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          "description": "Structured definition of the problem: What? Who? Where? When? Scale?",
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        "tool": {
          "name": "So What? Test",
          "slug": "so-what-test",
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          "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.",
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          "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.",
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        "agent": "Architect",
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        "agents": [
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        ],
        "matchId": "019dd95a-1b83-7130-933a-8a396466dffc",
        "evidence": "Callout reframes the chart as 'will that keep working?'",
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      {
        "tool": {
          "name": "Authority Bias",
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          "canonId": "019dd956-c38d-70b9-a284-b2b479763356",
          "version": 1,
          "bodyDocId": null,
          "description": "Expert opinions are weighted more heavily - cite credible sources",
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          "categoryName": "Slide",
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        },
        "agent": "Storyteller",
        "layer": "slide",
        "agents": [
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        "evidence": "Expert quote weighted as evidence",
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          "description": "Borrowing authority from trusted sources or vivid details",
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      {
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          "canonId": "019dd956-b5b9-7668-bf0e-3af99823ec5c",
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          "description": "People care more about individuals than statistics - use specific examples",
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        "agent": "Designer",
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          "description": "Expert opinions are weighted more heavily - cite credible sources",
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          "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.",
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        "evidence": "'But what kinds of questions are these?' demands meta-reflection",
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          "description": "Borrowing authority from trusted sources or vivid details",
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          "bestFor": "Any slide that carries an argument or finding. The diagnostic: if the slide has a chart on it, it needs a core message. Run extraction whenever the current title is a topic (Q3 performance, Customer satisfaction) rather than a claim, or when a reader could reasonably draw more than one conclusion from the visible evidence.",
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          "description": "Six key questions: Who are they? What do they know? What do they believe? What do they care about? What do they fear? What decisions can they make?",
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          "canonId": "019dd956-af13-774b-a4fd-7db0a3a88d51",
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          "description": "Strong endings: Callback, challenge, vision, clear CTA, memorable line",
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        "agent": "Storyteller",
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        "matchId": "019dd95a-1b83-7130-933c-9bbd85f4bc24",
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          ],
          "page_number": 18
        },
        {
          "tools": [
            {
              "id": 155,
              "slug": "credibility-transfer",
              "layer": "Slide",
              "evidence": "Zuckerberg-style quote on Llama 4 10x compute",
              "confidence": 80
            }
          ],
          "page_number": 19
        },
        {
          "tools": [
            {
              "id": 154,
              "slug": "concrete-language",
              "layer": "Slide",
              "evidence": "'100k GPUs' makes cost tangible",
              "confidence": 75
            },
            {
              "id": 158,
              "slug": "von-restorff-effect",
              "layer": "Slide",
              "evidence": "$500m callout in red",
              "confidence": 70
            }
          ],
          "page_number": 20
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "'If the moat is capital...' carries the argument",
              "confidence": 80
            },
            {
              "id": 138,
              "slug": "annotation",
              "layer": "Slide",
              "evidence": "Cyclical-industry note annotates Nvidia chart",
              "confidence": 65
            }
          ],
          "page_number": 21
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "'The capex surge - ~$220bn ... up $90bn' is the so-what",
              "confidence": 90
            },
            {
              "id": 129,
              "slug": "chart-selection-guide",
              "layer": "Slide",
              "evidence": "Stacked bar by company over time fits composition message",
              "confidence": 85
            },
            {
              "id": 125,
              "slug": "data-ink-ratio",
              "layer": "Slide",
              "evidence": "Clean chart, no chartjunk, gridlines minimal",
              "confidence": 75
            },
            {
              "id": 132,
              "slug": "visual-hierarchy",
              "layer": "Slide",
              "evidence": "Microsoft red anchors composition; Meta dark on top",
              "confidence": 70
            }
          ],
          "page_number": 22
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "'From the edge to the centre' - directional insight",
              "confidence": 75
            }
          ],
          "page_number": 23
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "'Here come the bankers' - narrative framing",
              "confidence": 75
            },
            {
              "id": 121,
              "slug": "metaphor-analogy",
              "layer": "Slide",
              "evidence": "Bankers as metaphor for capital pile-on",
              "confidence": 65
            }
          ],
          "page_number": 24
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "'Everything is still changing under our feet' carries the message",
              "confidence": 70
            }
          ],
          "page_number": 25
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "Callout 'launch free, go viral, work out revenue later doesn't work' is the verdict",
              "confidence": 80
            },
            {
              "id": 85,
              "slug": "argument-from-analogy",
              "layer": "Loop",
              "evidence": "Compares to last era of marginal-cost software",
              "confidence": 75
            }
          ],
          "page_number": 26
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "'Huge efficiency gains' announced as conclusion",
              "confidence": 75
            },
            {
              "id": 129,
              "slug": "chart-selection-guide",
              "layer": "Slide",
              "evidence": "Cost-decline chart picked for the trend message",
              "confidence": 70
            }
          ],
          "page_number": 27
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "'Feeds & speeds' phrase frames the commoditisation phase",
              "confidence": 75
            },
            {
              "id": 121,
              "slug": "metaphor-analogy",
              "layer": "Slide",
              "evidence": "Hardware-era 'feeds & speeds' applied to LLMs",
              "confidence": 75
            }
          ],
          "page_number": 28
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "'Better or cheaper - plus open source' is the so-what",
              "confidence": 85
            },
            {
              "id": 129,
              "slug": "chart-selection-guide",
              "layer": "Slide",
              "evidence": "Quality-vs-price scatter chosen for positioning argument",
              "confidence": 80
            },
            {
              "id": 130,
              "slug": "color-strategy",
              "layer": "Slide",
              "evidence": "OpenAI red highlighted, others greyed out",
              "confidence": 75
            }
          ],
          "page_number": 29
        },
        {
          "tools": [
            {
              "id": 155,
              "slug": "credibility-transfer",
              "layer": "Slide",
              "evidence": "'Everyone giving someone else's business model away' quote",
              "confidence": 80
            },
            {
              "id": 121,
              "slug": "metaphor-analogy",
              "layer": "Slide",
              "evidence": "Commodity-infrastructure metaphor",
              "confidence": 60
            }
          ],
          "page_number": 30
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "Callout 'turn models into just another API call' is the verdict",
              "confidence": 70
            }
          ],
          "page_number": 31
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "'Better, faster, cheaper - pick two' encodes the trade-off",
              "confidence": 75
            },
            {
              "id": 92,
              "slug": "tricolon",
              "layer": "Loop",
              "evidence": "Three-element parallel: better, faster, cheaper",
              "confidence": 70
            }
          ],
          "page_number": 32
        },
        {
          "tools": [
            {
              "id": 155,
              "slug": "credibility-transfer",
              "layer": "Slide",
              "evidence": "Pop-culture quote used for emphasis",
              "confidence": 70
            }
          ],
          "page_number": 33
        },
        {
          "tools": [
            {
              "id": 155,
              "slug": "credibility-transfer",
              "layer": "Slide",
              "evidence": "Same quote sustained across pages for emphasis",
              "confidence": 65
            }
          ],
          "page_number": 34
        },
        {
          "tools": [
            {
              "id": 92,
              "slug": "tricolon",
              "layer": "Loop",
              "evidence": "Three-fold callout: cyclical, marginal cost, every tech bubble",
              "confidence": 80
            },
            {
              "id": 153,
              "slug": "core-message-extraction",
              "layer": "Slide",
              "evidence": "Section's three-part conclusion compressed into callout",
              "confidence": 70
            }
          ],
          "page_number": 35
        },
        {
          "tools": [
            {
              "id": 109,
              "slug": "information-gap-theory",
              "layer": "Loop",
              "evidence": "'How is this useful?' divider opens curiosity loop",
              "confidence": 80
            }
          ],
          "page_number": 36
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "Callout 'so what?' makes title rhetorical",
              "confidence": 75
            }
          ],
          "page_number": 37
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "Callout 'what can we turn into pattern recognition?' frames the question",
              "confidence": 75
            },
            {
              "id": 87,
              "slug": "parallel-structure",
              "layer": "Loop",
              "evidence": "Mirrors p.44 '2024' slide for then-vs-now contrast",
              "confidence": 65
            }
          ],
          "page_number": 38
        },
        {
          "tools": [
            {
              "id": 87,
              "slug": "parallel-structure",
              "layer": "Loop",
              "evidence": "2013 slide title repeated with 2023 swap to create contrast",
              "confidence": 70
            }
          ],
          "page_number": 39
        },
        {
          "tools": [
            {
              "id": 154,
              "slug": "concrete-language",
              "layer": "Slide",
              "evidence": "Air Canada chatbot lawsuit as concrete failure case",
              "confidence": 80
            },
            {
              "id": 122,
              "slug": "story-moments",
              "layer": "Slide",
              "evidence": "'The Shock' beat - vivid failure example",
              "confidence": 70
            }
          ],
          "page_number": 40
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "'Error awareness is still limited' is the verdict",
              "confidence": 75
            }
          ],
          "page_number": 41
        },
        {
          "tools": [
            {
              "id": 119,
              "slug": "so-what-test",
              "layer": "Slide",
              "evidence": "'Science problem, or use case and design problem?'",
              "confidence": 75
            },
            {
              "id": 67,
              "slug": "curiosity-gap",
              "layer": "Block",
              "evidence": "Open question for audience",
              "confidence": 60
            }
          ],
          "page_number": 42
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "'Alphabet had $56bn FCF... worth finding out'",
              "confidence": 75
            },
            {
              "id": 158,
              "slug": "von-restorff-effect",
              "layer": "Slide",
              "evidence": "$56bn callout makes stakes vivid",
              "confidence": 65
            }
          ],
          "page_number": 43
        },
        {
          "tools": [
            {
              "id": 87,
              "slug": "parallel-structure",
              "layer": "Loop",
              "evidence": "'2024: how are LLMs useful?' parallels 2013 slides",
              "confidence": 80
            },
            {
              "id": 119,
              "slug": "so-what-test",
              "layer": "Slide",
              "evidence": "Callout 'Yes, but what?' demands so-what",
              "confidence": 75
            }
          ],
          "page_number": 44
        },
        {
          "tools": [
            {
              "id": 121,
              "slug": "metaphor-analogy",
              "layer": "Slide",
              "evidence": "'AI gives you infinite interns' is the central metaphor",
              "confidence": 90
            },
            {
              "id": 153,
              "slug": "core-message-extraction",
              "layer": "Slide",
              "evidence": "Distilled thesis as one memorable line",
              "confidence": 80
            }
          ],
          "page_number": 45
        },
        {
          "tools": [
            {
              "id": 85,
              "slug": "argument-from-analogy",
              "layer": "Loop",
              "evidence": "Compares predicting AI to predicting 'the internet in 1995'",
              "confidence": 80
            }
          ],
          "page_number": 46
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "Title is the question being investigated",
              "confidence": 70
            }
          ],
          "page_number": 47
        },
        {
          "tools": [
            {
              "id": 155,
              "slug": "credibility-transfer",
              "layer": "Slide",
              "evidence": "Quote on Copilot ROI as authority evidence",
              "confidence": 80
            }
          ],
          "page_number": 48
        },
        {
          "tools": [
            {
              "id": 154,
              "slug": "concrete-language",
              "layer": "Slide",
              "evidence": "Lawyer persona: 'I don't have that use case'",
              "confidence": 75
            },
            {
              "id": 224,
              "slug": "singularity-effect",
              "layer": "Slide",
              "evidence": "Specific lawyer character makes abstract point tangible",
              "confidence": 65
            }
          ],
          "page_number": 49
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "'I have that use case!' as voice-of-customer headline",
              "confidence": 75
            }
          ],
          "page_number": 50
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "Glass-half-full/empty 10% adoption headline",
              "confidence": 85
            },
            {
              "id": 129,
              "slug": "chart-selection-guide",
              "layer": "Slide",
              "evidence": "Bar chart by occupation segments adoption",
              "confidence": 80
            },
            {
              "id": 78,
              "slug": "contrast-pairs",
              "layer": "Loop",
              "evidence": "Half-empty / half-full contrast in callout",
              "confidence": 70
            }
          ],
          "page_number": 51
        },
        {
          "tools": [
            {
              "id": 155,
              "slug": "credibility-transfer",
              "layer": "Slide",
              "evidence": "Steve Jobs quote 'start with the customer experience'",
              "confidence": 85
            },
            {
              "id": 169,
              "slug": "authority-bias",
              "layer": "Slide",
              "evidence": "Pinned authority figure",
              "confidence": 75
            }
          ],
          "page_number": 52
        },
        {
          "tools": [
            {
              "id": 109,
              "slug": "information-gap-theory",
              "layer": "Loop",
              "evidence": "'How do we deploy this?' divider opens new question",
              "confidence": 80
            }
          ],
          "page_number": 53
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "Question title invokes a known pattern",
              "confidence": 65
            }
          ],
          "page_number": 54
        },
        {
          "tools": [
            {
              "id": 121,
              "slug": "metaphor-analogy",
              "layer": "Slide",
              "evidence": "Accenture as shorthand for enterprise IT consulting",
              "confidence": 65
            }
          ],
          "page_number": 55
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "'Accenture now claims more GenAI revenue than OpenAI'",
              "confidence": 80
            },
            {
              "id": 158,
              "slug": "von-restorff-effect",
              "layer": "Slide",
              "evidence": "$1,000m headline number",
              "confidence": 65
            }
          ],
          "page_number": 56
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "Frames the topic as standard procurement questions",
              "confidence": 60
            }
          ],
          "page_number": 57
        },
        {
          "tools": [
            {
              "id": 138,
              "slug": "annotation",
              "layer": "Slide",
              "evidence": "Callout '30% of workflows' annotates a long timeline",
              "confidence": 70
            },
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "'The future can take a long time' is the verdict",
              "confidence": 70
            }
          ],
          "page_number": 58
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "Callout 'half don't plan anything for at least a year' is the so-what",
              "confidence": 70
            }
          ],
          "page_number": 59
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "Callout: 'SaaS enabled... unbundling SAP, Excel, email'",
              "confidence": 70
            },
            {
              "id": 85,
              "slug": "argument-from-analogy",
              "layer": "Loop",
              "evidence": "SaaS unbundling used as analog for AI tools wave",
              "confidence": 70
            }
          ],
          "page_number": 60
        },
        {
          "tools": [
            {
              "id": 155,
              "slug": "credibility-transfer",
              "layer": "Slide",
              "evidence": "Jim Barksdale 'bundle / unbundle' quote",
              "confidence": 80
            },
            {
              "id": 88,
              "slug": "chiasmus",
              "layer": "Loop",
              "evidence": "Bundle / unbundle reversal structure",
              "confidence": 60
            }
          ],
          "page_number": 61
        },
        {
          "tools": [
            {
              "id": 119,
              "slug": "so-what-test",
              "layer": "Slide",
              "evidence": "Callout 'maybe we will need much less software?'",
              "confidence": 75
            },
            {
              "id": 67,
              "slug": "curiosity-gap",
              "layer": "Block",
              "evidence": "Open hypothetical posed to audience",
              "confidence": 60
            }
          ],
          "page_number": 62
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "'Are LLMs Infra? APIs? Platforms? The new UX?'",
              "confidence": 70
            }
          ],
          "page_number": 63
        },
        {
          "tools": [
            {
              "id": 155,
              "slug": "credibility-transfer",
              "layer": "Slide",
              "evidence": "Steve Jobs quote on customers not knowing what they want",
              "confidence": 80
            },
            {
              "id": 169,
              "slug": "authority-bias",
              "layer": "Slide",
              "evidence": "Quoted authority anchors the argument",
              "confidence": 70
            }
          ],
          "page_number": 64
        },
        {
          "tools": [
            {
              "id": 119,
              "slug": "so-what-test",
              "layer": "Slide",
              "evidence": "Callout: 'How do entrepreneurs invent new use cases?'",
              "confidence": 75
            }
          ],
          "page_number": 65
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "'New use cases, new unbundlers' as verdict",
              "confidence": 70
            },
            {
              "id": 121,
              "slug": "metaphor-analogy",
              "layer": "Slide",
              "evidence": "'Unbundling Oracle and ChatGPT' framing",
              "confidence": 65
            }
          ],
          "page_number": 66
        },
        {
          "tools": [
            {
              "id": 153,
              "slug": "core-message-extraction",
              "layer": "Slide",
              "evidence": "'AI is whatever doesn't work yet' - single-line thesis",
              "confidence": 80
            }
          ],
          "page_number": 67
        },
        {
          "tools": [
            {
              "id": 153,
              "slug": "core-message-extraction",
              "layer": "Slide",
              "evidence": "'As technology matures, it disappears' is the lesson",
              "confidence": 80
            },
            {
              "id": 121,
              "slug": "metaphor-analogy",
              "layer": "Slide",
              "evidence": "Metaphor of AI 'turning into automatic'",
              "confidence": 60
            }
          ],
          "page_number": 68
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "'Three models for LLM product?' frames the menu",
              "confidence": 80
            },
            {
              "id": 161,
              "slug": "law-of-similarity",
              "layer": "Slide",
              "evidence": "Three identical circles signal parallel options",
              "confidence": 80
            },
            {
              "id": 158,
              "slug": "von-restorff-effect",
              "layer": "Slide",
              "evidence": "Generalised AI circle outlined in red to stand out",
              "confidence": 75
            },
            {
              "id": 34,
              "slug": "the-rule-of-three",
              "layer": "Block",
              "evidence": "Explicit three-bucket structure",
              "confidence": 85
            }
          ],
          "page_number": 69
        },
        {
          "tools": [
            {
              "id": 155,
              "slug": "credibility-transfer",
              "layer": "Slide",
              "evidence": "Historical AI prediction quote (Marvin Minsky era)",
              "confidence": 70
            },
            {
              "id": 110,
              "slug": "hindsight-bias",
              "layer": "Loop",
              "evidence": "Old wrong forecast used to humble current forecasts",
              "confidence": 60
            }
          ],
          "page_number": 70
        },
        {
          "tools": [
            {
              "id": 153,
              "slug": "core-message-extraction",
              "layer": "Slide",
              "evidence": "'No-one really knows' compresses the section's verdict",
              "confidence": 75
            }
          ],
          "page_number": 71
        },
        {
          "tools": [
            {
              "id": 109,
              "slug": "information-gap-theory",
              "layer": "Loop",
              "evidence": "'Meanwhile...' divider creates pivot to other tech",
              "confidence": 70
            }
          ],
          "page_number": 72
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "'From vision to deployment' frames the section",
              "confidence": 70
            }
          ],
          "page_number": 73
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "'Meta is still metaversing' headlines the data",
              "confidence": 80
            },
            {
              "id": 129,
              "slug": "chart-selection-guide",
              "layer": "Slide",
              "evidence": "Spend trend chart picked to make persistence visible",
              "confidence": 70
            }
          ],
          "page_number": 74
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "'E-commerce is still there' grounds AI hype",
              "confidence": 75
            },
            {
              "id": 138,
              "slug": "annotation",
              "layer": "Slide",
              "evidence": "Callout 'most boring chart in tech... trillions of dollars'",
              "confidence": 65
            }
          ],
          "page_number": 75
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "'Back to the trend line' is the takeaway",
              "confidence": 75
            },
            {
              "id": 138,
              "slug": "annotation",
              "layer": "Slide",
              "evidence": "'40% of UK non-food online' annotated on the chart",
              "confidence": 70
            }
          ],
          "page_number": 76
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "'Shein on track to be largest pure-play apparel retailer'",
              "confidence": 75
            },
            {
              "id": 129,
              "slug": "chart-selection-guide",
              "layer": "Slide",
              "evidence": "Comparison bar/line chart picked",
              "confidence": 70
            }
          ],
          "page_number": 77
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "'Unbundling Amazon - Shopify $270bn / 35% of GMV'",
              "confidence": 80
            },
            {
              "id": 158,
              "slug": "von-restorff-effect",
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