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        "extraction": {
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      {
        "tool": {
          "name": "Core Message Extraction",
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          "categoryName": "Slide",
          "categorySlug": "slide"
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        "agent": "Architect",
        "layer": "slide",
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          "slug": "metaphor-analogy",
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          "canonId": "019dd956-adea-7729-bca1-70810d6238a9",
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        "layer": "slide",
        "agents": [
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        "evidence": "'Strike back' frames incumbents as Empire-like counter-attackers",
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          "canonId": "019dd956-b0f0-7630-a2f5-bb38f9bd9c57",
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        "layer": "slide",
        "agents": [
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        "matchId": "019dd95a-1c1c-7608-8ec8-8b744a85c178",
        "evidence": "Single prediction with three founder bullets",
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      {
        "tool": {
          "name": "Slide recipe: Cover",
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          "description": "The first ten seconds. Build it deliberately.",
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        "agents": [
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        "evidence": "This slide contains a title and logo, typical of a cover slide.",
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          "at": "2026-07-17 03:53:53.808595+00",
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        "tool": {
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          "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.",
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          "categoryName": "Slide",
          "categorySlug": "slide"
        },
        "agent": "Architect",
        "layer": "slide",
        "agents": [
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        "matchId": "019dd95a-1c1c-7608-8ec8-95c40cda9f9a",
        "evidence": "Title 'Top takeaways for founders' frames purpose, each bullet has an action lead-in",
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          "name": "Audience Definition",
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          "canonId": "019dd956-7f2a-775d-aeee-ff099bcb7756",
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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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          "categoryName": "Block",
          "categorySlug": "block"
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        "agent": "Storyteller",
        "layer": "slide",
        "agents": [
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        ],
        "matchId": "f3d8dca3-4b8b-4d80-8a3d-ec2eb96407c6",
        "evidence": "The slide is titled 'Top takeaways for founders', indicating that the content is tailored to a specific audience.",
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        "priority": "Core",
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        "confidence": 0.7,
        "extraction": {
          "at": "2026-07-17 03:21:11.715746+00",
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      {
        "tool": {
          "name": "Concrete Language",
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          "canonId": "019dd956-bcd4-7398-9723-6aa72346170b",
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          "description": "Using specific sensory details instead of abstract terms",
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          "categoryName": "Slide",
          "categorySlug": "slide"
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        "agent": "Storyteller",
        "layer": "slide",
        "agents": [
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        "matchId": "019dd95a-1c1c-7608-8ec8-9b7968204307",
        "evidence": "Specifics: '~$100M ARR in 1.5 years', '$3M to $100M over 4 years', '10x value fast'",
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        "confidence": 85,
        "extraction": {
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          "canonId": "019dd9e1-4ef7-777d-ba68-9074c2b3bcf1",
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          "description": "Bulleted, numbered, or checklist enumerations.",
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        "agent": null,
        "layer": "slide",
        "agents": null,
        "matchId": "54ebfd17-de5a-4eb2-bade-5d14deacc0f7",
        "evidence": "The slide contains a list/bullet points with key takeaways for founders.",
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        "extraction": {
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        "tool": {
          "name": "Visual Hierarchy",
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          "canonId": "019dd956-b2ca-706b-937f-e52441086fd7",
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          "description": "Order of perception through Size > Color > Position > Weight > Space",
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          "categoryName": "Slide",
          "categorySlug": "slide"
        },
        "agent": "Designer",
        "layer": "slide",
        "agents": [
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        "matchId": "019dd95a-1c1c-7608-8ec8-9d1a461bcc0f",
        "evidence": "Bold lead phrase + colon + explanatory tail establishes scan order",
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        "extraction": {
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      {
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          "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.",
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        "agent": "Architect",
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        "agents": [
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        "matchId": "019dd95a-1c1c-7608-8ec8-a86c732b023f",
        "evidence": "Each bullet leads with an imperative ('Build technical and data moats', 'Be M&A-ready')",
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      {
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      {
        "tool": {
          "name": "Law of Similarity",
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      {
        "tool": {
          "name": "Closing Techniques",
          "slug": "closing-techniques",
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        "agent": "Storyteller",
        "layer": "slide",
        "agents": [
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        "matchId": "019dd95a-1c1c-7608-8ec8-b54130fd9837",
        "evidence": "Closes with brand line 'Venture insights that matter to founders' and CTA bvp.com/subscribe",
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      {
        "tool": {
          "name": "Core Message Extraction",
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          "bodyDocId": "f85613cb-4b77-462f-bfe6-3b862516e1a6",
          "description": "The discipline of distilling raw analysis, data, or content into a single declarative sentence — the slide's core message — that the audience would walk away with if they remembered nothing else. Process, not artefact: extraction questions run on the raw content until one sentence falls out.",
          "familyLabel": null,
          "categoryName": "Slide",
          "categorySlug": "slide"
        },
        "agent": "Architect",
        "layer": "slide",
        "agents": [
          "Architect"
        ],
        "matchId": "019dd95a-1c1c-7608-8ec8-bb949ae760fe",
        "evidence": "Single tagline summarises Bessemer's promise to founders",
        "pageRefs": null,
        "priority": null,
        "whenToUse": "Any slide that carries an argument or finding. The diagnostic: if the slide has a chart on it, it needs a core message. Run extraction whenever the current title is a topic (Q3 performance, Customer satisfaction) rather than a claim, or when a reader could reasonably draw more than one conclusion from the visible evidence.",
        "confidence": 70,
        "extraction": {
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          "model": "claude-legacy",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 13,
        "whyItWorks": "Solves the two failure modes of slide writing simultaneously: the topic title (which outsources interpretation to the audience and produces three different conclusions in three different heads) and the multi-thesis stapler (which exceeds working memory and gets remembered as fragments). Aligns with how readers actually consume decks — Heath & Heath's Find the Core, the journalist's nut graf, and Minto's governing thought all converge on the same cognitive economics.",
        "antipattern": "Topic titles disguised as core messages (Customer satisfaction, no verb, no stake); multi-thesis sentences stapled with and; hedged sentences (may show signs of possible softening); chart-caption titles (Revenue fell 4%) that restate what the chart already shows instead of naming the so-what; meta-commentary (this slide explores...) that describes the slide rather than concluding it.",
        "cardinality": null,
        "narrativePurpose": "Forces the slide author to do the interpretive work before the slide ships, so the audience does not have to do it during the meeting. Wins the WYSIATI battle on purpose — the loudest fragment on the page becomes the author's chosen sentence rather than whichever chart label happens to be largest."
      },
      {
        "tool": {
          "name": "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": "3f8c6097-c7c7-4202-b826-c5dbabb747db",
        "evidence": "The slide is a cover slide with a logo and a call to action.",
        "pageRefs": null,
        "priority": null,
        "whenToUse": null,
        "confidence": 0.9,
        "extraction": {
          "at": "2026-07-17 03:21:11.874023+00",
          "model": "or:meta-llama/llama-4-scout",
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          "seconds": null,
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        },
        "pageNumber": 13,
        "whyItWorks": null,
        "antipattern": null,
        "cardinality": null,
        "narrativePurpose": null
      }
    ],
    "frameworks": [
      {
        "matchId": "019dd95a-1d21-7467-a468-d58bad0e5241",
        "evidence": "Three archetypes labelled on the chart with distinct growth curves and ARR/year markers",
        "framework": null,
        "confidence": 88,
        "extraction": {
          "at": "2026-04-29 13:07:34.940444+00",
          "model": "claude-legacy",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 2,
        "frameworkName": "Bessemer AI Startup Archetypes (Supernova / Shooting Star / Cloud Centaur)"
      },
      {
        "matchId": "61fb85a4-8609-4350-9e59-32b044ebebb9",
        "evidence": "Visualizes time-to-milestone for different company archetypes",
        "framework": null,
        "confidence": 0.9,
        "extraction": {
          "at": "2026-05-02 17:34:53.15+00",
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "seconds": null,
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        },
        "pageNumber": 2,
        "frameworkName": "growth-curve"
      },
      {
        "matchId": "019dd95a-1d21-7467-a468-da6584da53a3",
        "evidence": "Two named archetype panels with parallel benchmark rows (ARR by year, gross margins, ARR/FTE)",
        "framework": null,
        "confidence": 85,
        "extraction": {
          "at": "2026-04-29 13:07:34.940444+00",
          "model": "claude-legacy",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 3,
        "frameworkName": "Bessemer AI Startup Archetypes (Supernova / Shooting Star)"
      }
    ],
    "patterns": []
  },
  "storymakers": {
    "model": "claude-cli-sonnet-4.6",
    "backend": null,
    "rawJson": {
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        "id": 11,
        "slug": "triple-take",
        "beats": [
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            "name": "The Facts (What)",
            "end_page": 3,
            "evidence": "Cover + $100M ARR curve and Supernova/Shooting Star benchmarks",
            "position": 1,
            "start_page": 1
          },
          {
            "name": "The Implications (So What)",
            "end_page": 9,
            "evidence": "Predictions divider + 5 prediction slides on AI's future",
            "position": 2,
            "start_page": 4
          },
          {
            "name": "The Action (Now What)",
            "end_page": 13,
            "evidence": "Founders divider + two takeaway slides + closing",
            "position": 3,
            "start_page": 10
          }
        ],
        "evidence": "Deck moves from market facts (p.2-3) to predictions/implications (p.5-9) to founder actions (p.11-12).",
        "confidence": 85
      },
      "loops": [
        {
          "id": 34,
          "slug": "34-segmentation-split",
          "end_page": 3,
          "evidence": "p.2 chart and p.3 side-by-side benchmarks split AI winners into Supernovas vs Shooting Stars.",
          "position": 1,
          "objective": "Define two new AI startup archetypes by their distinct growth and margin profiles",
          "confidence": 82,
          "start_page": 2
        },
        {
          "id": 2,
          "slug": "02-pattern-hunter",
          "end_page": 9,
          "evidence": "Five 'PREDICTION N' slides (browser, video, evals, social, M&A) form a pattern of where AI is heading.",
          "position": 2,
          "objective": "Stack five independent predictions to paint a unified picture of AI's near-term trajectory",
          "confidence": 78,
          "start_page": 5
        },
        {
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          "slug": "41-so-what-cascade",
          "end_page": 12,
          "evidence": "Two 'Top takeaways for founders' slides translate insights into ten imperatives.",
          "position": 3,
          "objective": "Convert the data and predictions into specific founder actions",
          "confidence": 80,
          "start_page": 11
        }
      ],
      "slide_tools": [
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "Title states the insight: 'The new $100M ARR growth curve for AI startups'",
              "confidence": 90
            },
            {
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              "slug": "chart-selection-guide",
              "layer": "Slide",
              "evidence": "Line chart used for time-to-$100M comparison across archetypes",
              "confidence": 88
            },
            {
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              "slug": "annotation",
              "layer": "Slide",
              "evidence": "Each curve labelled '1.5 / 4 / 7 years to $100M' with $40M/$125M/$103M callouts",
              "confidence": 90
            },
            {
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              "slug": "color-strategy",
              "layer": "Slide",
              "evidence": "Three distinct colors for Supernova, Shooting Star, Cloud Centaur curves",
              "confidence": 80
            },
            {
              "id": 121,
              "slug": "metaphor-analogy",
              "layer": "Slide",
              "evidence": "Astronomical metaphors 'Supernova / Shooting Star / Cloud Centaur' label growth archetypes",
              "confidence": 85
            },
            {
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              "slug": "concrete-language",
              "layer": "Slide",
              "evidence": "Specific numbers: $40M Y1, $125M Y2, $103M Y4, 1.5/4/7 years",
              "confidence": 82
            },
            {
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              "slug": "contrast-pairs",
              "layer": "Loop",
              "evidence": "Three growth curves contrasted on one canvas to set up the segmentation",
              "confidence": 75
            },
            {
              "id": 70,
              "slug": "storytelling-effect",
              "layer": "Block",
              "evidence": "Astronomical archetype names give the data a narrative spine",
              "confidence": 70
            },
            {
              "id": 3,
              "slug": "pyramid-principle",
              "layer": "Block",
              "evidence": "Headline answer ('new $100M curve') stated first, supporting numbers below",
              "confidence": 70
            }
          ],
          "page_number": 2
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "Title 'AI benchmarks: Supernovas vs. Shooting Stars' frames the comparison",
              "confidence": 85
            },
            {
              "id": 133,
              "slug": "small-multiples",
              "layer": "Slide",
              "evidence": "Two parallel benchmark tables (Supernovas / Shooting Stars) side by side",
              "confidence": 85
            },
            {
              "id": 132,
              "slug": "visual-hierarchy",
              "layer": "Slide",
              "evidence": "Two equal-weight panels with bold headers and aligned rows",
              "confidence": 75
            },
            {
              "id": 154,
              "slug": "concrete-language",
              "layer": "Slide",
              "evidence": "Hard metrics: $40M / $125M ARR, ~25% vs 60% margins, $1.133M vs $164K ARR/FTE",
              "confidence": 88
            },
            {
              "id": 161,
              "slug": "law-of-similarity",
              "layer": "Slide",
              "evidence": "Identical table styling makes Supernova and Shooting Star directly comparable",
              "confidence": 70
            }
          ],
          "page_number": 3
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "Title states the prediction: 'The browser will emerge as a dominant interface for agentic AI'",
              "confidence": 92
            },
            {
              "id": 128,
              "slug": "one-idea-rule",
              "layer": "Slide",
              "evidence": "Slide carries a single prediction with one supporting paragraph",
              "confidence": 85
            },
            {
              "id": 153,
              "slug": "core-message-extraction",
              "layer": "Slide",
              "evidence": "Big-type prediction headline distilled to one sentence",
              "confidence": 80
            },
            {
              "id": 89,
              "slug": "anaphora",
              "layer": "Loop",
              "evidence": "Each loop slide opens with the same 'PREDICTION N' eyebrow",
              "confidence": 78
            },
            {
              "id": 87,
              "slug": "parallel-structure",
              "layer": "Loop",
              "evidence": "p.5-9 share identical layout: eyebrow, headline prediction, supporting paragraph, image",
              "confidence": 78
            },
            {
              "id": 67,
              "slug": "curiosity-gap",
              "layer": "Block",
              "evidence": "Predictions section opens an information gap about AI's near-term future",
              "confidence": 70
            },
            {
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              "slug": "millers-law",
              "layer": "Block",
              "evidence": "Predictions chunked into 5 items, within 7±2 working memory limit",
              "confidence": 70
            }
          ],
          "page_number": 5
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "Title states the prediction: '2026 will be the year of generative video'",
              "confidence": 92
            },
            {
              "id": 128,
              "slug": "one-idea-rule",
              "layer": "Slide",
              "evidence": "Single prediction per slide",
              "confidence": 85
            },
            {
              "id": 153,
              "slug": "core-message-extraction",
              "layer": "Slide",
              "evidence": "Headline collapses prediction to one declarative sentence",
              "confidence": 78
            },
            {
              "id": 86,
              "slug": "causal-chain",
              "layer": "Loop",
              "evidence": "Callout chains years: '2024 images → 2025 voice → 2026 video'",
              "confidence": 60
            }
          ],
          "page_number": 6
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "Title states the prediction: 'Evals and data lineage will become a critical catalyst for AI product development'",
              "confidence": 90
            },
            {
              "id": 128,
              "slug": "one-idea-rule",
              "layer": "Slide",
              "evidence": "Single prediction per slide",
              "confidence": 82
            },
            {
              "id": 153,
              "slug": "core-message-extraction",
              "layer": "Slide",
              "evidence": "Headline plus one tightly framed callout",
              "confidence": 75
            }
          ],
          "page_number": 7
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "Title states the prediction: 'A new AI-native social media giant could emerge'",
              "confidence": 90
            },
            {
              "id": 128,
              "slug": "one-idea-rule",
              "layer": "Slide",
              "evidence": "Single speculative prediction per slide",
              "confidence": 82
            },
            {
              "id": 153,
              "slug": "core-message-extraction",
              "layer": "Slide",
              "evidence": "Headline distills the prediction; callout names the fuel (voice, memory, video)",
              "confidence": 75
            }
          ],
          "page_number": 8
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "Title states the prediction: 'The incumbents strike back as AI M&A heats up'",
              "confidence": 92
            },
            {
              "id": 128,
              "slug": "one-idea-rule",
              "layer": "Slide",
              "evidence": "Single prediction with three founder bullets",
              "confidence": 82
            },
            {
              "id": 153,
              "slug": "core-message-extraction",
              "layer": "Slide",
              "evidence": "Headline compresses thesis; body lists three founder takeaways",
              "confidence": 78
            },
            {
              "id": 121,
              "slug": "metaphor-analogy",
              "layer": "Slide",
              "evidence": "'Strike back' frames incumbents as Empire-like counter-attackers",
              "confidence": 65
            }
          ],
          "page_number": 9
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "Title 'Top takeaways for founders' frames purpose, each bullet has an action lead-in",
              "confidence": 80
            },
            {
              "id": 154,
              "slug": "concrete-language",
              "layer": "Slide",
              "evidence": "Specifics: '~$100M ARR in 1.5 years', '$3M to $100M over 4 years', '10x value fast'",
              "confidence": 85
            },
            {
              "id": 132,
              "slug": "visual-hierarchy",
              "layer": "Slide",
              "evidence": "Bold lead phrase + colon + explanatory tail establishes scan order",
              "confidence": 72
            },
            {
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              "slug": "parallel-structure",
              "layer": "Loop",
              "evidence": "Every takeaway formatted as 'Bold imperative: explanation' across both pages",
              "confidence": 85
            },
            {
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              "slug": "chunking",
              "layer": "Loop",
              "evidence": "Ten takeaways chunked five per slide for digestibility",
              "confidence": 85
            }
          ],
          "page_number": 11
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "Each bullet leads with an imperative ('Build technical and data moats', 'Be M&A-ready')",
              "confidence": 78
            },
            {
              "id": 154,
              "slug": "concrete-language",
              "layer": "Slide",
              "evidence": "Specifics: 'months → hours', 'codegen, auto-mapping', 'Vertical AI', 'M&A-ready'",
              "confidence": 80
            },
            {
              "id": 161,
              "slug": "law-of-similarity",
              "layer": "Slide",
              "evidence": "Saturn icon + bold lead + tail repeated identically per bullet",
              "confidence": 72
            }
          ],
          "page_number": 12
        },
        {
          "tools": [
            {
              "id": 124,
              "slug": "closing-techniques",
              "layer": "Slide",
              "evidence": "Closes with brand line 'Venture insights that matter to founders' and CTA bvp.com/subscribe",
              "confidence": 80
            },
            {
              "id": 153,
              "slug": "core-message-extraction",
              "layer": "Slide",
              "evidence": "Single tagline summarises Bessemer's promise to founders",
              "confidence": 70
            }
          ],
          "page_number": 13
        }
      ],
      "slides_seen": 13,
      "deck_summary": "Concise BVP thought-leadership deck that aligns well with Storymakers: insight-led action titles, a clean Triple Take arc (data -> predictions -> founder actions), and parallel structure across the prediction sequence -- though it leans on header-only slides rather than evidence-rich storyboards.",
      "secondary_arcs": [],
      "images_inspected": 7,
      "slide_frameworks": [
        {
          "frameworks": [
            {
              "name": "Bessemer AI Startup Archetypes (Supernova / Shooting Star / Cloud Centaur)",
              "slug": "bessemer-ai-startup-archetypes",
              "evidence": "Three archetypes labelled on the chart with distinct growth curves and ARR/year markers",
              "confidence": 88
            }
          ],
          "page_number": 2
        },
        {
          "frameworks": [
            {
              "name": "Bessemer AI Startup Archetypes (Supernova / Shooting Star)",
              "slug": "bessemer-ai-startup-archetypes",
              "evidence": "Two named archetype panels with parallel benchmark rows (ARR by year, gross margins, ARR/FTE)",
              "confidence": 85
            }
          ],
          "page_number": 3
        }
      ]
    },
    "matchedAt": "2026-04-27 09:52:12+00",
    "slidesSeen": 13,
    "deckSummary": "Concise BVP thought-leadership deck that aligns well with Storymakers: insight-led action titles, a clean Triple Take arc (data -> predictions -> founder actions), and parallel structure across the prediction sequence -- though it leans on header-only slides rather than evidence-rich storyboards.",
    "imagesInspected": 7,
    "extractionSeconds": 251.65562
  },
  "score": {
    "backend": "codex",
    "scoredAt": "2026-05-02 23:07:26.54+00",
    "subScores": {
      "scqa_arc": 42,
      "action_titles": 70,
      "mece_structure": 48,
      "closing_strength": 52,
      "evidence_quality": 56,
      "clarity_of_thesis": 55,
      "production_quality": 64,
      "visual_storytelling": 67
    },
    "totalScore": 57,
    "coveragePct": 100,
    "explanations": {
      "scqa_arc": "Slides 2-3 create some situation context, but the deck moves into a list of predictions without an explicit complication, governing question, or synthesized answer.",
      "action_titles": "The prediction slides mostly use insight-bearing titles, e.g. slide 5: \"The browser will emerge as a dominant interface for agentic AI,\" while slides 11-12 revert to topic-label takeaway titles.",
      "mece_structure": "The deck separates benchmarks, predictions, and founder takeaways, but the prediction set on slides 5-9 is not framed as a MECE map and the two takeaway slides overlap.",
      "closing_strength": "Slides 11-12 provide founder takeaways and slide 13 has a subscription CTA, but the deck does not end with a crisp recommendation, prioritized actions, or next-step decision.",
      "evidence_quality": "Benchmark claims on slides 2-3 are supported with charts and metrics, but the prediction claims on slides 5-9 are mostly asserted through narrative callouts rather than backed by visible data.",
      "clarity_of_thesis": "Slides 2-5 imply a deck about AI startup growth and market predictions, but no single declarative central thesis is established in the first five slides.",
      "production_quality": "The deck has solid title density and consistent prediction-slide packaging, but front-matter interruptions on slides 1, 4, and 10 plus the overcrowded slide 11 weaken flow and polish.",
      "visual_storytelling": "Slides 2-3 use appropriate chart and table formats for benchmark comparisons, while slides 5-9 rely more on dense text, callouts, and abstract imagery than on visual proof of the argument."
    },
    "slidesAnalyzed": 13
  },
  "review": {
    "backend": null,
    "verdict": "A competent VC thought-leadership deck with strong action titles and a clear predict-then-recommend structure, but it falls short of Storymakers exemplar status because it lacks an explicit complication act and its predictions are listed rather than organized into MECE pillars.",
    "reviewedAt": "2026-05-01 22:23:06.034+00",
    "slidesSeen": 13,
    "suggestions": [
      "Insert a Complication slide between slides 3 and 4 stating the strategic question (e.g. 'If Supernovas can hit $100M ARR in 18 months, what should founders bet on next?') so the predictions answer a posed problem.",
      "Rename the 'Predictions' divider (slide 4) to an action title that previews the throughline (e.g. 'Five bets shaping AI in 2026') and group the five predictions under 2-3 MECE pillars.",
      "Merge slides 11-12 into a single takeaways slide with one synthesizing headline, and replace the slide 13 newsletter CTA with a memorable closing line that restates the deck's core bet."
    ],
    "closingScore": 68,
    "openingScore": 72,
    "topStrengths": [
      "Declarative, opinionated prediction titles on slides 5-9 that each commit to a falsifiable claim",
      "Slide 2 opens with a quantified, memorable framing (the $100M ARR curve) that anchors the rest of the deck",
      "Clear recommend act on slides 11-12 translating analysis into founder imperatives"
    ],
    "topWeaknesses": [
      "No explicit Complication act — the deck moves from benchmarks (slide 3) directly to 'Predictions' (slide 4) without naming the strategic tension",
      "Slides 11 and 12 share the identical title 'Top takeaways for founders', signaling content overflow rather than a deliberate two-part close",
      "The five predictions (slides 5-9) are listed rather than organized into MECE pillars (e.g. interface, infrastructure, market structure)"
    ],
    "narrativeScore": 68,
    "pillarCritique": "The two dividers ('Predictions' on slide 4 and 'What founders need to know' on slide 10) cleanly split the deck into predictions-then-implications, but 'Predictions' is a topic label rather than a MECE pillar and the five predictions themselves (agents, video, evals, social, M&A) are presented as a list, not a taxonomy.",
    "closingCritique": "Slides 11-12 deliver explicit founder takeaways (a clear recommend act), but splitting them across two near-identical 'Top takeaways for founders' slides dilutes the punch, and slide 13 closes on a newsletter CTA rather than a single memorable line synthesizing the deck's bet.",
    "openingCritique": "Slide 2 leads with a sharp, quantified thesis ('the new $100M ARR growth curve') which is strong, but the cover (slide 1) carries no subtitle or thesis hook, and there is no explicit 'why this matters now' setup before the benchmark table on slide 3.",
    "extractionSeconds": 60.856,
    "narrativeCritique": "The deck has a discernible arc — Situation/Complication via the $100M ARR curve and Supernovas vs Shooting Stars (slides 2-3), Analysis via five predictions (slides 5-9), and Resolution via founder takeaways (slides 11-12) — but it skips an explicit complication act, jumping from benchmarks straight into 'Predictions' without naming the strategic question the predictions answer.",
    "titleQualityScore": 82,
    "titleQualityCritique": "Most titles are strong action titles bearing real insight — e.g. slide 5 'The browser will emerge as a dominant interface for agentic AI' and slide 9 'The incumbents strike back as AI M&A heats up' — though the divider 'Predictions' (slide 4) and the duplicated 'Top takeaways for founders' (slides 11-12) fall back to topic labels."
  },
  "activistThesis": null,
  "pitchdeck": {
    "metadata": null,
    "profile": null
  },
  "slides": [
    {
      "page": 1,
      "type": "setup",
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