{
  "schemaVersion": "deck-intelligence.v1",
  "id": "019dd923-5fed-74f2-a96f-332f094e32c4",
  "slug": "bi-2f10f780618a0917",
  "title": "Pitch deck: Hiverge raises $5 million to optimize algorithms with AI",
  "subtitle": "Hiverge",
  "author": "Hiverge",
  "pageCount": 7,
  "kind": "pitchdeck",
  "orientation": "landscape",
  "aspectRatio": 1.757,
  "document": {
    "id": "019dd923-5fed-74f2-a96f-332f094e32c4",
    "slug": "bi-2f10f780618a0917",
    "title": "Pitch deck: Hiverge raises $5 million to optimize algorithms with AI",
    "rawTitle": "Pitch deck: Hiverge raises $5 million to optimize algorithms with AI",
    "authorId": "Pitchdecks",
    "authorName": "Hiverge",
    "authorDisplay": "Hiverge",
    "kind": {
      "slug": "pitchdeck",
      "label": "Pitch deck"
    },
    "sourceType": {
      "slug": "strategy_consulting",
      "label": "Strategy consulting"
    },
    "fileName": "Hiverge-bi-2f10f.pdf",
    "sourceUrl": "https://www.businessinsider.com/hiverge-seed-funding-optimize-algorithms-ai-pitch-deck-google-deepmind-2025-9",
    "sourceDate": "2025-09-17 00:00:00",
    "presentationDate": null,
    "ingestedAt": "2026-04-27 10:06:49.954+00",
    "status": "ready",
    "pageCount": 7,
    "orientation": "landscape",
    "aspectRatio": 1.757,
    "targetCompany": null,
    "targetTicker": null,
    "metadata": {
      "local_root": "/tmp/legacy-images/bi-2f10f780618a0917",
      "origin_corpus": "consulting"
    }
  },
  "coverage": {
    "pageCount": 7,
    "pagesIndexed": 7,
    "pagesWithImages": 7,
    "pagesWithMetadata": 7,
    "imageCoveragePct": 100,
    "metadataCoveragePct": 100,
    "componentCount": 37,
    "chartCount": 0,
    "metricSlides": 0,
    "toolMatches": 4,
    "documentToolMatches": 0,
    "frameworkMatches": 3,
    "arcMatches": 1,
    "beatMatches": 5,
    "loopMatches": 2,
    "patternMatches": 0,
    "storymakersMatch": false,
    "scoreAvailable": false,
    "reviewAvailable": false,
    "activistThesisAvailable": false,
    "pitchdeckMetadataAvailable": true,
    "pitchdeckProfileAvailable": true
  },
  "blocks": [],
  "matches": {
    "arcs": [
      {
        "arc": {
          "name": "The Sequoia Pitch",
          "slug": "sequoia-pitch",
          "status": "active",
          "bestFor": "Investor pitches, Series A/B, board presentations",
          "canonId": "019dd956-5e69-75a7-a0a4-895ac1bc0444",
          "version": 1,
          "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49",
          "structure": "Problem -> Solution -> Why Now -> Market Size -> Competition -> Product -> Business Model -> Team -> Financials -> The Ask",
          "description": null,
          "familyLabel": null,
          "categoryName": "Strategy & Business",
          "categorySlug": "strategy-business"
        },
        "matchId": "5883e53f-8cee-4175-bac7-645cd078ba4a",
        "evidence": "The deck follows a structure similar to the Sequoia Pitch, with a clear problem statement, solution, and market sizing.",
        "isPrimary": true,
        "confidence": 0.8,
        "extraction": {
          "at": "2026-07-16 21:43:51.282909+00",
          "model": "or:meta-llama/llama-4-scout",
          "runId": null,
          "seconds": null,
          "promptVersion": "doc-narrative-v1"
        }
      }
    ],
    "beats": [
      {
        "to": 4,
        "arc": {
          "name": "The Sequoia Pitch",
          "slug": "sequoia-pitch",
          "status": "active",
          "bestFor": "Investor pitches, Series A/B, board presentations",
          "canonId": "019dd956-5e69-75a7-a0a4-895ac1bc0444",
          "version": 1,
          "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49",
          "structure": "Problem -> Solution -> Why Now -> Market Size -> Competition -> Product -> Business Model -> Team -> Financials -> The Ask",
          "description": null,
          "familyLabel": null,
          "categoryName": "Strategy & Business",
          "categorySlug": "strategy-business"
        },
        "from": 4,
        "name": "Problem",
        "beatId": "4d4d4072-0783-47f1-9f80-f705ebde209a",
        "matchId": "5883e53f-8cee-4175-bac7-645cd078ba4a",
        "beatType": {
          "name": "Problem",
          "slug": "sequoia-pitch-problem",
          "status": "active",
          "canonId": "019dd9b8-1ed4-767b-8e05-40e733bd2311",
          "version": 1,
          "description": null
        },
        "evidence": "The problem statement is clearly presented on page 4.",
        "position": 0,
        "isPrimaryArc": true,
        "parentBeatType": {
          "name": "Complication",
          "slug": "complication",
          "status": "active",
          "canonId": "019dd9b8-0275-7709-b2d6-4f77c3fc7579",
          "version": 1,
          "description": "The point in the narrative where the audience should feel discomfort. Required for argumentative arcs."
        },
        "alignedBlockIds": null,
        "matchConfidence": 0.8
      },
      {
        "to": 6,
        "arc": {
          "name": "The Sequoia Pitch",
          "slug": "sequoia-pitch",
          "status": "active",
          "bestFor": "Investor pitches, Series A/B, board presentations",
          "canonId": "019dd956-5e69-75a7-a0a4-895ac1bc0444",
          "version": 1,
          "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49",
          "structure": "Problem -> Solution -> Why Now -> Market Size -> Competition -> Product -> Business Model -> Team -> Financials -> The Ask",
          "description": null,
          "familyLabel": null,
          "categoryName": "Strategy & Business",
          "categorySlug": "strategy-business"
        },
        "from": 6,
        "name": "Solution",
        "beatId": "4200ce1e-bd33-4782-97b0-3ad4f2aeacb9",
        "matchId": "5883e53f-8cee-4175-bac7-645cd078ba4a",
        "beatType": {
          "name": "Solution",
          "slug": "sequoia-pitch-solution",
          "status": "active",
          "canonId": "019dd9b8-1fb1-71d9-a260-07738d7f9c2f",
          "version": 1,
          "description": null
        },
        "evidence": "The solution is introduced on page 6.",
        "position": 1,
        "isPrimaryArc": true,
        "parentBeatType": {
          "name": "Turn",
          "slug": "turn",
          "status": "active",
          "canonId": "019dd9b8-0396-702b-ac2f-9901f8dd8b54",
          "version": 1,
          "description": "The pivot — solution proposed, catalyst introduced, decision made. Common (15/20 arcs) but not universal: Triple-take, AIDA, PAS, Voyage-return and Pixar substitute it with a strong reflection or development beat."
        },
        "alignedBlockIds": null,
        "matchConfidence": 0.8
      },
      {
        "to": 7,
        "arc": {
          "name": "The Sequoia Pitch",
          "slug": "sequoia-pitch",
          "status": "active",
          "bestFor": "Investor pitches, Series A/B, board presentations",
          "canonId": "019dd956-5e69-75a7-a0a4-895ac1bc0444",
          "version": 1,
          "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49",
          "structure": "Problem -> Solution -> Why Now -> Market Size -> Competition -> Product -> Business Model -> Team -> Financials -> The Ask",
          "description": null,
          "familyLabel": null,
          "categoryName": "Strategy & Business",
          "categorySlug": "strategy-business"
        },
        "from": 7,
        "name": "Market Size",
        "beatId": "09370178-6b64-45cb-881d-fb522edad150",
        "matchId": "5883e53f-8cee-4175-bac7-645cd078ba4a",
        "beatType": {
          "name": "Market Size",
          "slug": "sequoia-pitch-market-size",
          "status": "active",
          "canonId": "019dd9b8-20e6-729c-bc28-05442906d032",
          "version": 1,
          "description": null
        },
        "evidence": "Market sizing is presented on page 7.",
        "position": 2,
        "isPrimaryArc": true,
        "parentBeatType": {
          "name": "Evidence",
          "slug": "evidence",
          "status": "active",
          "canonId": "019dd9b8-03f9-772a-b84a-4f07b415b77a",
          "version": 1,
          "description": "A dedicated proof beat exists in only ~4 arcs (Gambit, Sequoia, AIDA, Monroes). Other arcs embed evidence inline within development."
        },
        "alignedBlockIds": null,
        "matchConfidence": 0.8
      },
      {
        "to": 1,
        "arc": {
          "name": "The Sequoia Pitch",
          "slug": "sequoia-pitch",
          "status": "active",
          "bestFor": "Investor pitches, Series A/B, board presentations",
          "canonId": "019dd956-5e69-75a7-a0a4-895ac1bc0444",
          "version": 1,
          "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49",
          "structure": "Problem -> Solution -> Why Now -> Market Size -> Competition -> Product -> Business Model -> Team -> Financials -> The Ask",
          "description": null,
          "familyLabel": null,
          "categoryName": "Strategy & Business",
          "categorySlug": "strategy-business"
        },
        "from": 1,
        "name": "Attention",
        "beatId": "2c9085d5-5677-4606-9577-b995993219c1",
        "matchId": "5883e53f-8cee-4175-bac7-645cd078ba4a",
        "beatType": {
          "name": "Attention",
          "slug": "aida-attention",
          "status": "active",
          "canonId": "019dd9b8-1086-7099-85c1-2f9cae7ea19d",
          "version": 1,
          "description": null
        },
        "evidence": "The cover slide grabs attention with the company name and title.",
        "position": 3,
        "isPrimaryArc": true,
        "parentBeatType": {
          "name": "Hook",
          "slug": "hook",
          "status": "active",
          "canonId": "019dd9b8-01a6-7328-bff2-b22eb40b3ea5",
          "version": 1,
          "description": "The opener — a deliberate move to earn attention before any argument. Used by AIDA, Monroes, Pixar Pitch, Overcoming the Monster."
        },
        "alignedBlockIds": null,
        "matchConfidence": 0.8
      },
      {
        "to": 3,
        "arc": {
          "name": "The Sequoia Pitch",
          "slug": "sequoia-pitch",
          "status": "active",
          "bestFor": "Investor pitches, Series A/B, board presentations",
          "canonId": "019dd956-5e69-75a7-a0a4-895ac1bc0444",
          "version": 1,
          "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49",
          "structure": "Problem -> Solution -> Why Now -> Market Size -> Competition -> Product -> Business Model -> Team -> Financials -> The Ask",
          "description": null,
          "familyLabel": null,
          "categoryName": "Strategy & Business",
          "categorySlug": "strategy-business"
        },
        "from": 2,
        "name": "Interest",
        "beatId": "cda01c6a-e2e0-4b1f-a01a-f406b06411bc",
        "matchId": "5883e53f-8cee-4175-bac7-645cd078ba4a",
        "beatType": {
          "name": "Interest",
          "slug": "aida-interest",
          "status": "active",
          "canonId": "019dd9b8-115b-7640-827f-fd115885a984",
          "version": 1,
          "description": null
        },
        "evidence": "The team bio and traction slides generate interest in the company's capabilities.",
        "position": 4,
        "isPrimaryArc": true,
        "parentBeatType": {
          "name": "Complication",
          "slug": "complication",
          "status": "active",
          "canonId": "019dd9b8-0275-7709-b2d6-4f77c3fc7579",
          "version": 1,
          "description": "The point in the narrative where the audience should feel discomfort. Required for argumentative arcs."
        },
        "alignedBlockIds": null,
        "matchConfidence": 0.8
      }
    ],
    "loops": [
      {
        "to": 6,
        "from": 4,
        "loop": {
          "name": "27_cost_of_inaction",
          "slug": "27-cost-of-inaction",
          "status": "active",
          "bestFor": "Urgent budget requests, compliance, risk mitigation",
          "canonId": "019dd956-70d1-7395-a15b-857ba858b394",
          "version": 1,
          "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21",
          "structure": "The Status Quo -> The Hidden Costs Accumulating -> The Future State of Inaction -> The Tipping Point",
          "description": "Quantify what happens if the audience does nothing",
          "familyLabel": null,
          "categoryName": "Urgency",
          "categorySlug": "urgency"
        },
        "matchId": "ca174b13-26cd-4607-8069-0f3067cb4792",
        "evidence": "The problem statement and solution imply a cost of inaction.",
        "position": 0,
        "objective": "What are the consequences of not optimizing algorithms?",
        "confidence": 0.7,
        "extraction": {
          "at": "2026-07-16 21:43:51.491372+00",
          "model": "or:meta-llama/llama-4-scout",
          "runId": null,
          "seconds": null,
          "promptVersion": "doc-narrative-v1"
        }
      },
      {
        "to": 7,
        "from": 4,
        "loop": {
          "name": "15_why_now",
          "slug": "15-why-now",
          "status": "active",
          "bestFor": "Sales pitches, fundraising, requesting immediate budget approval",
          "canonId": "019dd956-6c00-70cd-bd42-6bacc4af726f",
          "version": 1,
          "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21",
          "structure": "The Context (Trends) -> The Trigger Event -> The Window of Opportunity",
          "description": "Create temporal urgency by proving that the window of opportunity is opening or closing",
          "familyLabel": null,
          "categoryName": "Urgency",
          "categorySlug": "urgency"
        },
        "matchId": "28826d32-95f0-4635-a59c-e8448334df7e",
        "evidence": "The market sizing and problem statement suggest a timely opportunity.",
        "position": 1,
        "objective": "Why is now the right time for this solution?",
        "confidence": 0.6,
        "extraction": {
          "at": "2026-07-16 21:43:51.525897+00",
          "model": "or:meta-llama/llama-4-scout",
          "runId": null,
          "seconds": null,
          "promptVersion": "doc-narrative-v1"
        }
      }
    ],
    "tools": [
      {
        "tool": {
          "name": "Slide recipe: Cover",
          "slug": "cover-slide",
          "status": "active",
          "bestFor": null,
          "canonId": "019df269-2a08-767d-9128-e7431e6fe8a3",
          "version": 1,
          "bodyDocId": "019df269-29e5-7738-b5fa-6892e5dc8e65",
          "description": "The first ten seconds. Build it deliberately.",
          "familyLabel": "slide-recipe",
          "categoryName": "Slide",
          "categorySlug": "slide"
        },
        "agent": "designer",
        "layer": "slide",
        "agents": [
          "designer"
        ],
        "matchId": "bcff2303-2827-40ba-a4ee-f1d9257d6417",
        "evidence": "type: cover",
        "pageRefs": null,
        "priority": null,
        "whenToUse": null,
        "confidence": 0.9,
        "extraction": {
          "at": "2026-07-16 22:36:11.849694+00",
          "model": "or:meta-llama/llama-4-scout",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 1,
        "whyItWorks": null,
        "antipattern": null,
        "cardinality": null,
        "narrativePurpose": null
      },
      {
        "tool": {
          "name": "Audience Definition",
          "slug": "audience-definition",
          "status": "active",
          "bestFor": null,
          "canonId": "019dd956-7f2a-775d-aeee-ff099bcb7756",
          "version": 1,
          "bodyDocId": null,
          "description": "Six key questions: Who are they? What do they know? What do they believe? What do they care about? What do they fear? What decisions can they make?",
          "familyLabel": null,
          "categoryName": "Block",
          "categorySlug": "block"
        },
        "agent": "Storyteller",
        "layer": "slide",
        "agents": [
          "Storyteller"
        ],
        "matchId": "d8e87d70-ac59-4115-8f0f-fb5e610322e5",
        "evidence": "list/bullet: Alhussein Fawzi: MIT Tech Review Innovator 2023, Google DeepMind GenAI lead",
        "pageRefs": null,
        "priority": "Core",
        "whenToUse": null,
        "confidence": 0.7,
        "extraction": {
          "at": "2026-07-16 22:36:11.923784+00",
          "model": "or:meta-llama/llama-4-scout",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 2,
        "whyItWorks": null,
        "antipattern": null,
        "cardinality": null,
        "narrativePurpose": null
      },
      {
        "tool": {
          "name": "Problem Statement Canvas",
          "slug": "problem-statement-canvas",
          "status": "active",
          "bestFor": null,
          "canonId": "019dd956-839d-744b-ad11-9bf3e3642a18",
          "version": 1,
          "bodyDocId": null,
          "description": "Structured definition of the problem: What? Who? Where? When? Scale?",
          "familyLabel": null,
          "categoryName": "Block",
          "categorySlug": "block"
        },
        "agent": "Architect",
        "layer": "slide",
        "agents": [
          "Architect"
        ],
        "matchId": "83a6fc04-66c8-4537-b62d-990c3d9145d1",
        "evidence": "list/bullet: AI copilots can't optimize complex systems and neural networks are hard to deploy.",
        "pageRefs": null,
        "priority": null,
        "whenToUse": null,
        "confidence": 0.7,
        "extraction": {
          "at": "2026-07-16 22:36:12.02667+00",
          "model": "or:meta-llama/llama-4-scout",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 4,
        "whyItWorks": null,
        "antipattern": null,
        "cardinality": null,
        "narrativePurpose": null
      },
      {
        "tool": {
          "name": "Thesis archetype",
          "slug": "thesis-archetype",
          "status": "active",
          "bestFor": null,
          "canonId": "019dd9e1-4b0b-7428-9b26-f171d1e753fb",
          "version": 1,
          "bodyDocId": null,
          "description": "A canonical investment / activist thesis shape (breakup, fraud, governance).",
          "familyLabel": null,
          "categoryName": null,
          "categorySlug": null
        },
        "agent": null,
        "layer": "slide",
        "agents": null,
        "matchId": "aee54b40-a8f2-44dc-ae22-a2c5db253a56",
        "evidence": "title/headline: Re-imagining algorithms through program synthesis",
        "pageRefs": null,
        "priority": null,
        "whenToUse": null,
        "confidence": 0.9,
        "extraction": {
          "at": "2026-07-16 22:36:12.099439+00",
          "model": "or:meta-llama/llama-4-scout",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 5,
        "whyItWorks": null,
        "antipattern": null,
        "cardinality": "optional",
        "narrativePurpose": null
      }
    ],
    "frameworks": [
      {
        "matchId": "b224376a-81a1-4190-9239-836a06a3b1b9",
        "evidence": "Chronological presentation of research milestones",
        "framework": null,
        "confidence": 1,
        "extraction": {
          "at": "2026-05-02 16:11:09.851+00",
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 3,
        "frameworkName": "timeline"
      },
      {
        "matchId": "9e06e40b-1827-42b3-8e95-dceee99de8e7",
        "evidence": "Circular diagram showing the interaction of three components",
        "framework": null,
        "confidence": 0.8,
        "extraction": {
          "at": "2026-05-02 16:11:08.295+00",
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 6,
        "frameworkName": "flywheel"
      },
      {
        "matchId": "dbc0527e-a94b-49f2-926a-14d1cfa7d819",
        "evidence": "Categorization of market opportunities into distinct segments with sub-use cases.",
        "framework": null,
        "confidence": 0.7,
        "extraction": {
          "at": "2026-05-02 16:11:08.837+00",
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 7,
        "frameworkName": "market-segmentation-pyramid"
      }
    ],
    "patterns": []
  },
  "storymakers": null,
  "score": null,
  "review": null,
  "activistThesis": null,
  "pitchdeck": {
    "metadata": {
      "author": "Robert Scammell",
      "fireId": "bi-2f10f780618a0917",
      "sector": null,
      "deckKind": "fundraise",
      "roundRaw": null,
      "amountRaw": "$5 million",
      "amountUsd": "5000000",
      "scrapedAt": "2026-04-27 10:06:49.954+00",
      "sectorRaw": null,
      "sourceUrl": "https://www.businessinsider.com/hiverge-seed-funding-optimize-algorithms-ai-pitch-deck-google-deepmind-2025-9",
      "deckKindAt": "2026-04-28 07:19:06+00",
      "highlights": "Former DeepMind scientists raise $5 million for Hiverge, a startup developing AI to improve code.",
      "slideCount": 7,
      "companyName": "Hiverge",
      "description": "Former DeepMind scientists raise $5 million for Hiverge, a startup developing AI to improve code.",
      "displayName": "Hiverge",
      "publishDate": "2025-09-17",
      "roundSeries": null,
      "articleTitle": "Pitch deck: Hiverge raises $5 million to optimize algorithms with AI",
      "leadInvestors": null,
      "deckKindSignal": "raises",
      "metaExtractedAt": "2026-04-28 07:16:02+00"
    },
    "profile": {
      "scores": {
        "yc": 0.4787,
        "a16z": 0.3987,
        "docsend": 0.3369,
        "hoffman": 0.2107,
        "mcclure": 0.4487,
        "sequoia": 0.3798,
        "kawasaki": 0.2952,
        "nextview": 0.5514,
        "slidebean": 0.3253,
        "founder_institute": 0.35
      },
      "nSlides": 7,
      "sequence": [
        "cover",
        "team_bio",
        "precedent",
        "problem_statement",
        "section_divider",
        "solution",
        "market_sizing"
      ],
      "breakdown": {
        "yc": {
          "order": 0.5714,
          "signal": 0.08,
          "jaccard": 0.4545
        },
        "a16z": {
          "order": 0.5714,
          "signal": 0,
          "jaccard": 0.4545
        },
        "docsend": {
          "order": 0.4286,
          "signal": 0,
          "jaccard": 0.4167
        },
        "hoffman": {
          "order": 0.2857,
          "signal": 0,
          "jaccard": 0.25
        },
        "mcclure": {
          "order": 0.5714,
          "signal": 0.05,
          "jaccard": 0.4545
        },
        "sequoia": {
          "order": 0.5714,
          "signal": 0,
          "jaccard": 0.4167
        },
        "kawasaki": {
          "order": 0.4286,
          "signal": 0,
          "jaccard": 0.3333
        },
        "nextview": {
          "order": 0.5714,
          "signal": 0.18,
          "jaccard": 0.4
        },
        "slidebean": {
          "order": 0.5714,
          "signal": 0,
          "jaccard": 0.3077
        },
        "founder_institute": {
          "order": 0.5714,
          "signal": 0,
          "jaccard": 0.3571
        }
      },
      "matchedAt": "2026-04-27 21:51:54+00",
      "noveltyScore": 0.5486,
      "primaryScore": 0.5514,
      "noveltySignals": [
        "non-canonical types: precedent"
      ],
      "primaryProfile": "nextview",
      "secondaryScore": 0.4787,
      "secondaryProfile": "yc"
    }
  },
  "slides": [
    {
      "page": 1,
      "type": "setup",
      "function": "front_matter",
      "imagePath": "https://imgproxy.kitesheet.com/KEffTzRti_7RlnIeZEuNSNytJ07wlrI5Aegi6CX2ql8/rs:fit:1200:1200:0/q:82/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy9iaS0yZjEwZjc4MDYxOGEwOTE3L3AwMDEuanBn",
      "rawType": "cover",
      "block": null,
      "metadata": {
        "slideType": "cover",
        "slideTypeCanon": {
          "name": "Cover",
          "slug": "cover",
          "status": "active",
          "canonId": "019de52d-05f2-729d-9f93-e0504f0a2410",
          "version": 1,
          "description": null
        },
        "function": "front_matter",
        "functionCanon": {
          "name": "Front matter",
          "slug": "front_matter",
          "status": "active",
          "canonId": "019de52d-133d-73f0-9e26-201eda96b098",
          "version": 1,
          "description": null
        },
        "density": "sparse",
        "densityScore": 0,
        "componentCount": 1,
        "textChars": 7,
        "nDataPoints": 0,
        "notes": null,
        "elementsJson": [
          "other"
        ],
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 16:11:07.731+00",
          "seconds": 3.555,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019dd923-5fed-74f2-a96f-332f094e32c4/1",
        "deck": "/decks/019dd923-5fed-74f2-a96f-332f094e32c4",
        "deckAnchor": "/decks/019dd923-5fed-74f2-a96f-332f094e32c4#slide-1",
        "deckJson": "/decks/019dd923-5fed-74f2-a96f-332f094e32c4.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.16,
            "w": 0.44,
            "x": 0.28,
            "y": 0.42
          },
          "kind": "image",
          "text": "Hiverge",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Logo",
              "slug": "logo",
              "status": "active",
              "canonId": "019de52c-fdaf-743d-94c4-d7c6a0e55302",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "logo",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:11:07.731+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "e85df45e-66d4-4a27-8ad4-8aaa41688e36",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [
        {
          "tool": {
            "name": "Slide recipe: Cover",
            "slug": "cover-slide",
            "status": "active",
            "bestFor": null,
            "canonId": "019df269-2a08-767d-9128-e7431e6fe8a3",
            "version": 1,
            "bodyDocId": "019df269-29e5-7738-b5fa-6892e5dc8e65",
            "description": "The first ten seconds. Build it deliberately.",
            "familyLabel": "slide-recipe",
            "categoryName": "Slide",
            "categorySlug": "slide"
          },
          "agent": "designer",
          "layer": "slide",
          "agents": [
            "designer"
          ],
          "matchId": "bcff2303-2827-40ba-a4ee-f1d9257d6417",
          "evidence": "type: cover",
          "pageRefs": null,
          "priority": null,
          "whenToUse": null,
          "confidence": 0.9,
          "extraction": {
            "at": "2026-07-16 22:36:11.849694+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 1,
          "whyItWorks": null,
          "antipattern": null,
          "cardinality": null,
          "narrativePurpose": null
        }
      ],
      "frameworks": [],
      "arcBeats": [
        {
          "to": 1,
          "arc": {
            "name": "The Sequoia Pitch",
            "slug": "sequoia-pitch",
            "status": "active",
            "bestFor": "Investor pitches, Series A/B, board presentations",
            "canonId": "019dd956-5e69-75a7-a0a4-895ac1bc0444",
            "version": 1,
            "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49",
            "structure": "Problem -> Solution -> Why Now -> Market Size -> Competition -> Product -> Business Model -> Team -> Financials -> The Ask",
            "description": null,
            "familyLabel": null
          },
          "from": 1,
          "name": "Attention",
          "beatId": "2c9085d5-5677-4606-9577-b995993219c1",
          "matchId": "5883e53f-8cee-4175-bac7-645cd078ba4a",
          "beatType": {
            "name": "Attention",
            "slug": "aida-attention",
            "status": "active",
            "canonId": "019dd9b8-1086-7099-85c1-2f9cae7ea19d",
            "version": 1,
            "description": null
          },
          "evidence": "The cover slide grabs attention with the company name and title.",
          "position": 3,
          "isPrimaryArc": true,
          "parentBeatType": {
            "name": "Hook",
            "slug": "hook",
            "status": "active",
            "canonId": "019dd9b8-01a6-7328-bff2-b22eb40b3ea5",
            "version": 1,
            "description": "The opener — a deliberate move to earn attention before any argument. Used by AIDA, Monroes, Pixar Pitch, Overcoming the Monster."
          },
          "alignedBlockIds": null,
          "matchConfidence": 0.8
        }
      ],
      "loops": [],
      "thumbSrc": "https://imgproxy.kitesheet.com/w__dz-lTLhsYXzyE82FQjbPkMopz8P0s9JLmyP5c9-k/rs:fit:480:480:0/q:78/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy9iaS0yZjEwZjc4MDYxOGEwOTE3L3AwMDEuanBn",
      "imagePathAlt": "https://imgproxy.kitesheet.com/j_Tn91LpAbJtaDsF9-FpLWvD5vEInlZ4SR9lc2sXNmo/rs:fit:1200:1200:0/q:82/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy9iaS0yZjEwZjc4MDYxOGEwOTE3L3AwMDEucG5n",
      "thumbSrcAlt": "https://imgproxy.kitesheet.com/18zRufRexHFcYijKCQJa-_6qs4hq6vSFWQBqKGPce-o/rs:fit:480:480:0/q:78/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy9iaS0yZjEwZjc4MDYxOGEwOTE3L3AwMDEucG5n"
    },
    {
      "page": 2,
      "type": "setup",
      "function": "other",
      "rawType": "team_bio",
      "block": null,
      "metadata": {
        "slideType": "team_bio",
        "slideTypeCanon": {
          "name": "Team bio",
          "slug": "team_bio",
          "status": "active",
          "canonId": "019de52d-0a7d-7394-ae5b-037478e71f1e",
          "version": 1,
          "description": null
        },
        "function": "other",
        "functionCanon": {
          "name": "Other (fallback)",
          "slug": "other",
          "status": "active",
          "canonId": "019de52d-15e1-75bc-99dc-07732380e2ce",
          "version": 1,
          "description": null
        },
        "density": "dense",
        "densityScore": 62,
        "componentCount": 8,
        "textChars": 341,
        "nDataPoints": 0,
        "notes": null,
        "elementsJson": [
          "headshot",
          "bullet_list",
          "logo_grid"
        ],
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 16:11:23.778+00",
          "seconds": 19.568,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019dd923-5fed-74f2-a96f-332f094e32c4/2",
        "deck": "/decks/019dd923-5fed-74f2-a96f-332f094e32c4",
        "deckAnchor": "/decks/019dd923-5fed-74f2-a96f-332f094e32c4#slide-2",
        "deckJson": "/decks/019dd923-5fed-74f2-a96f-332f094e32c4.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.2,
            "w": 0.08,
            "x": 0.21,
            "y": 0.148
          },
          "kind": "image",
          "text": "Alhussein Fawzi",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Headshot",
              "slug": "headshot",
              "status": "active",
              "canonId": "019de52c-fd5f-765c-9282-38b54f61bbbf",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headshot",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:11:23.778+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "1aaf439a-ec12-423a-8fb5-e74238aaaee2",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.2,
            "w": 0.08,
            "x": 0.47,
            "y": 0.148
          },
          "kind": "image",
          "text": "Bernardino Romera-Paredes",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Headshot",
              "slug": "headshot",
              "status": "active",
              "canonId": "019de52c-fd5f-765c-9282-38b54f61bbbf",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headshot",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:11:23.778+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "5bf826a4-7bd0-4392-bea3-ca04839b5763",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.2,
            "w": 0.08,
            "x": 0.73,
            "y": 0.148
          },
          "kind": "image",
          "text": "Hamza Fawzi",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Headshot",
              "slug": "headshot",
              "status": "active",
              "canonId": "019de52c-fd5f-765c-9282-38b54f61bbbf",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headshot",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:11:23.778+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "e452d432-ab07-49e1-9bba-e92b45c8eb42",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.2,
            "w": 0.78,
            "x": 0.13,
            "y": 0.7
          },
          "kind": "image",
          "text": "Institutional logos: Google DeepMind, IBM, Oxford, Cambridge, MIT",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Logo grid",
              "slug": "logo-grid",
              "status": "active",
              "canonId": "019de52c-fdd7-7409-93e5-81280a8ca215",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "logo-grid",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:11:23.778+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "292ebea9-a8b4-45d2-a7a8-79da8bd3b43e",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.2,
            "w": 0.25,
            "x": 0.39,
            "y": 0.4
          },
          "kind": "list",
          "text": "Bernardino Romera-Paredes: Science's breakthrough 2021, PhD UCL",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "List",
              "slug": "list",
              "status": "active",
              "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2",
              "version": 1,
              "description": "Bullet or numbered list."
            },
            "tool": null,
            "subkind": {
              "name": "Bullet list",
              "slug": "bullet",
              "status": "active",
              "canonId": "019de52c-fc98-7169-a083-5cab805076ca",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "bullet",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:11:23.778+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "2c309ee8-d4d2-42f8-a787-dfa1e5d727df",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.2,
            "w": 0.25,
            "x": 0.66,
            "y": 0.4
          },
          "kind": "list",
          "text": "Hamza Fawzi: Professor at Cambridge, PhD MIT",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "List",
              "slug": "list",
              "status": "active",
              "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2",
              "version": 1,
              "description": "Bullet or numbered list."
            },
            "tool": null,
            "subkind": {
              "name": "Bullet list",
              "slug": "bullet",
              "status": "active",
              "canonId": "019de52c-fc98-7169-a083-5cab805076ca",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "bullet",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:11:23.778+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "b2b2d446-fc5e-4be5-8151-b6b958afe554",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.2,
            "w": 0.25,
            "x": 0.13,
            "y": 0.4
          },
          "kind": "list",
          "text": "Alhussein Fawzi: MIT Tech Review Innovator 2023, Google DeepMind GenAI lead",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "List",
              "slug": "list",
              "status": "active",
              "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2",
              "version": 1,
              "description": "Bullet or numbered list."
            },
            "tool": null,
            "subkind": {
              "name": "Bullet list",
              "slug": "bullet",
              "status": "active",
              "canonId": "019de52c-fc98-7169-a083-5cab805076ca",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "bullet",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:11:23.778+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "ff04d3db-0cc2-43ff-acf6-6222c4ea55d0",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.1,
            "w": 0.7,
            "x": 0.05,
            "y": 0.05
          },
          "kind": "title",
          "text": "We are a team of leading AI researchers ...",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:11:23.778+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "069cb9b5-5157-48bd-ae1a-1eaed51694b7",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [
        {
          "tool": {
            "name": "Audience Definition",
            "slug": "audience-definition",
            "status": "active",
            "bestFor": null,
            "canonId": "019dd956-7f2a-775d-aeee-ff099bcb7756",
            "version": 1,
            "bodyDocId": null,
            "description": "Six key questions: Who are they? What do they know? What do they believe? What do they care about? What do they fear? What decisions can they make?",
            "familyLabel": null,
            "categoryName": "Block",
            "categorySlug": "block"
          },
          "agent": "Storyteller",
          "layer": "slide",
          "agents": [
            "Storyteller"
          ],
          "matchId": "d8e87d70-ac59-4115-8f0f-fb5e610322e5",
          "evidence": "list/bullet: Alhussein Fawzi: MIT Tech Review Innovator 2023, Google DeepMind GenAI lead",
          "pageRefs": null,
          "priority": "Core",
          "whenToUse": null,
          "confidence": 0.7,
          "extraction": {
            "at": "2026-07-16 22:36:11.923784+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 2,
          "whyItWorks": null,
          "antipattern": null,
          "cardinality": null,
          "narrativePurpose": null
        }
      ],
      "frameworks": [],
      "arcBeats": [
        {
          "to": 3,
          "arc": {
            "name": "The Sequoia Pitch",
            "slug": "sequoia-pitch",
            "status": "active",
            "bestFor": "Investor pitches, Series A/B, board presentations",
            "canonId": "019dd956-5e69-75a7-a0a4-895ac1bc0444",
            "version": 1,
            "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49",
            "structure": "Problem -> Solution -> Why Now -> Market Size -> Competition -> Product -> Business Model -> Team -> Financials -> The Ask",
            "description": null,
            "familyLabel": null
          },
          "from": 2,
          "name": "Interest",
          "beatId": "cda01c6a-e2e0-4b1f-a01a-f406b06411bc",
          "matchId": "5883e53f-8cee-4175-bac7-645cd078ba4a",
          "beatType": {
            "name": "Interest",
            "slug": "aida-interest",
            "status": "active",
            "canonId": "019dd9b8-115b-7640-827f-fd115885a984",
            "version": 1,
            "description": null
          },
          "evidence": "The team bio and traction slides generate interest in the company's capabilities.",
          "position": 4,
          "isPrimaryArc": true,
          "parentBeatType": {
            "name": "Complication",
            "slug": "complication",
            "status": "active",
            "canonId": "019dd9b8-0275-7709-b2d6-4f77c3fc7579",
            "version": 1,
            "description": "The point in the narrative where the audience should feel discomfort. Required for argumentative arcs."
          },
          "alignedBlockIds": null,
          "matchConfidence": 0.8
        }
      ],
      "loops": [],
      "locked": true
    },
    {
      "page": 3,
      "type": "evidence",
      "title": "The slide uses a timeline to establish credibility through high-profile scientific publications.",
      "function": "show_traction",
      "rawType": "traction",
      "block": null,
      "metadata": {
        "slideType": "traction",
        "slideTypeCanon": {
          "name": "Traction",
          "slug": "traction",
          "status": "active",
          "canonId": "019de52d-0edd-72ab-820f-3ebc71a9c542",
          "version": 1,
          "description": null
        },
        "function": "show_traction",
        "functionCanon": {
          "name": "Show traction",
          "slug": "show_traction",
          "status": "active",
          "canonId": "019de52d-16a8-756a-9b38-a7d35420561d",
          "version": 1,
          "description": null
        },
        "density": "balanced",
        "densityScore": 41,
        "componentCount": 5,
        "textChars": 181,
        "nDataPoints": 3,
        "notes": "The slide uses a timeline to establish credibility through high-profile scientific publications.",
        "elementsJson": [
          "headline_text",
          "screenshot",
          "timeline_visual"
        ],
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 16:11:09.851+00",
          "seconds": 5.422,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019dd923-5fed-74f2-a96f-332f094e32c4/3",
        "deck": "/decks/019dd923-5fed-74f2-a96f-332f094e32c4",
        "deckAnchor": "/decks/019dd923-5fed-74f2-a96f-332f094e32c4#slide-3",
        "deckJson": "/decks/019dd923-5fed-74f2-a96f-332f094e32c4.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.1,
            "w": 0.84,
            "x": 0.08,
            "y": 0.85
          },
          "kind": "diagram",
          "text": "Timeline with years 2018, 2022, 2023",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Diagram",
              "slug": "diagram",
              "status": "active",
              "canonId": "019de52c-f9f0-734a-81de-15382ff28c65",
              "version": 1,
              "description": "Schematic or relational diagram."
            },
            "tool": null,
            "subkind": {
              "name": "Timeline",
              "slug": "timeline",
              "status": "active",
              "canonId": "019de52d-03c5-73fc-84aa-4180cbf0f5cf",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "timeline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:11:09.851+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "ea0a8fd5-496c-4b49-94ba-a8cdc3837975",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.5,
            "w": 0.15,
            "x": 0.26,
            "y": 0.28
          },
          "kind": "image",
          "text": "AlphaTensor Nature cover",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Illustration",
              "slug": "illustration",
              "status": "active",
              "canonId": "019de52c-fe76-7772-a5ac-c0b7294d7615",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "illustration",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:11:09.851+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "5efda5e6-484b-4d7d-abb6-ae39877b05ff",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.5,
            "w": 0.15,
            "x": 0.08,
            "y": 0.28
          },
          "kind": "image",
          "text": "AlphaFold Nature cover",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Illustration",
              "slug": "illustration",
              "status": "active",
              "canonId": "019de52c-fe76-7772-a5ac-c0b7294d7615",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "illustration",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:11:09.851+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "c60cbe61-4bab-4a9f-96b3-0d09b6ae3135",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.6,
            "w": 0.45,
            "x": 0.45,
            "y": 0.17
          },
          "kind": "image",
          "text": "FunSearch code snippet and Nature article header",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Illustration",
              "slug": "illustration",
              "status": "active",
              "canonId": "019de52c-fe76-7772-a5ac-c0b7294d7615",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "illustration",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:11:09.851+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "f673224c-0dbb-4f95-817b-f08ed111be62",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.1,
            "w": 0.9,
            "x": 0.05,
            "y": 0.05
          },
          "kind": "title",
          "text": "... who solved some of the hardest challenges in AI",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:11:09.851+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "83670ddd-202c-4944-9517-833c63b0325e",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [],
      "frameworks": [
        {
          "matchId": "b224376a-81a1-4190-9239-836a06a3b1b9",
          "evidence": "Chronological presentation of research milestones",
          "framework": null,
          "confidence": 1,
          "extraction": {
            "at": "2026-05-02 16:11:09.851+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 3,
          "frameworkName": "timeline"
        }
      ],
      "arcBeats": [
        {
          "to": 3,
          "arc": {
            "name": "The Sequoia Pitch",
            "slug": "sequoia-pitch",
            "status": "active",
            "bestFor": "Investor pitches, Series A/B, board presentations",
            "canonId": "019dd956-5e69-75a7-a0a4-895ac1bc0444",
            "version": 1,
            "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49",
            "structure": "Problem -> Solution -> Why Now -> Market Size -> Competition -> Product -> Business Model -> Team -> Financials -> The Ask",
            "description": null,
            "familyLabel": null
          },
          "from": 2,
          "name": "Interest",
          "beatId": "cda01c6a-e2e0-4b1f-a01a-f406b06411bc",
          "matchId": "5883e53f-8cee-4175-bac7-645cd078ba4a",
          "beatType": {
            "name": "Interest",
            "slug": "aida-interest",
            "status": "active",
            "canonId": "019dd9b8-115b-7640-827f-fd115885a984",
            "version": 1,
            "description": null
          },
          "evidence": "The team bio and traction slides generate interest in the company's capabilities.",
          "position": 4,
          "isPrimaryArc": true,
          "parentBeatType": {
            "name": "Complication",
            "slug": "complication",
            "status": "active",
            "canonId": "019dd9b8-0275-7709-b2d6-4f77c3fc7579",
            "version": 1,
            "description": "The point in the narrative where the audience should feel discomfort. Required for argumentative arcs."
          },
          "alignedBlockIds": null,
          "matchConfidence": 0.8
        }
      ],
      "loops": [],
      "locked": true
    },
    {
      "page": 4,
      "type": "tension",
      "title": "Uses a two-column layout to contrast industry reliance on algorithms with the pain points of current solutions.",
      "function": "frame_problem",
      "rawType": "problem_statement",
      "block": null,
      "metadata": {
        "slideType": "problem_statement",
        "slideTypeCanon": {
          "name": "Problem statement",
          "slug": "problem_statement",
          "status": "active",
          "canonId": "019de52d-0879-768d-bba8-8da8a5a121d4",
          "version": 1,
          "description": null
        },
        "function": "frame_problem",
        "functionCanon": {
          "name": "Frame problem",
          "slug": "frame_problem",
          "status": "active",
          "canonId": "019de52d-13db-753e-ad70-e9b2d0dab398",
          "version": 1,
          "description": null
        },
        "density": "dense",
        "densityScore": 54,
        "componentCount": 5,
        "textChars": 560,
        "nDataPoints": 0,
        "notes": "Uses a two-column layout to contrast industry reliance on algorithms with the pain points of current solutions.",
        "elementsJson": [
          "action_title",
          "bullet_list",
          "icon_grid"
        ],
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 16:11:08.063+00",
          "seconds": 3.251,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019dd923-5fed-74f2-a96f-332f094e32c4/4",
        "deck": "/decks/019dd923-5fed-74f2-a96f-332f094e32c4",
        "deckAnchor": "/decks/019dd923-5fed-74f2-a96f-332f094e32c4#slide-4",
        "deckJson": "/decks/019dd923-5fed-74f2-a96f-332f094e32c4.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.5,
            "w": 0.4,
            "x": 0.55,
            "y": 0.35
          },
          "kind": "list",
          "text": "AI copilots can't optimize complex systems and neural networks are hard to deploy. Efficiency gains are increasingly difficult, draining engineering time. Companies struggle to access engineering talent.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "List",
              "slug": "list",
              "status": "active",
              "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2",
              "version": 1,
              "description": "Bullet or numbered list."
            },
            "tool": null,
            "subkind": {
              "name": "Bullet list",
              "slug": "bullet",
              "status": "active",
              "canonId": "019de52c-fc98-7169-a083-5cab805076ca",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "bullet",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:11:08.063+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "26ef8c1c-8731-4131-8f20-51599a1d4893",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.5,
            "w": 0.4,
            "x": 0.06,
            "y": 0.35
          },
          "kind": "list",
          "text": "High-scale systems with many variables and constraints. Automated systems with low-latency decision-making. Environments facing exploding demand despite limited resources.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "List",
              "slug": "list",
              "status": "active",
              "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2",
              "version": 1,
              "description": "Bullet or numbered list."
            },
            "tool": null,
            "subkind": {
              "name": "Bullet list",
              "slug": "bullet",
              "status": "active",
              "canonId": "019de52c-fc98-7169-a083-5cab805076ca",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "bullet",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:11:08.063+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "9d5a3f34-58c3-4c64-9ef1-925b9c09b93a",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.1,
            "w": 0.4,
            "x": 0.06,
            "y": 0.2
          },
          "kind": "paragraph",
          "text": "Algorithms drive revenue for many industries. Examples: finance, aerospace, data centers, ...",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:11:08.063+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "10018e77-86ff-4446-8511-ecfbb6c09ab9",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.05,
            "w": 0.35,
            "x": 0.55,
            "y": 0.2
          },
          "kind": "paragraph",
          "text": "Yet, current approaches are very limited",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:11:08.063+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "bdf465db-a962-49e2-abd8-46c2a6b97d8a",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.1,
            "w": 0.88,
            "x": 0.06,
            "y": 0.05
          },
          "kind": "title",
          "text": "We are now tackling the global algorithmic bottleneck",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:11:08.063+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "a0b8078f-1efc-4300-944c-d14ddf1f8524",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [
        {
          "tool": {
            "name": "Problem Statement Canvas",
            "slug": "problem-statement-canvas",
            "status": "active",
            "bestFor": null,
            "canonId": "019dd956-839d-744b-ad11-9bf3e3642a18",
            "version": 1,
            "bodyDocId": null,
            "description": "Structured definition of the problem: What? Who? Where? When? Scale?",
            "familyLabel": null,
            "categoryName": "Block",
            "categorySlug": "block"
          },
          "agent": "Architect",
          "layer": "slide",
          "agents": [
            "Architect"
          ],
          "matchId": "83a6fc04-66c8-4537-b62d-990c3d9145d1",
          "evidence": "list/bullet: AI copilots can't optimize complex systems and neural networks are hard to deploy.",
          "pageRefs": null,
          "priority": null,
          "whenToUse": null,
          "confidence": 0.7,
          "extraction": {
            "at": "2026-07-16 22:36:12.02667+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 4,
          "whyItWorks": null,
          "antipattern": null,
          "cardinality": null,
          "narrativePurpose": null
        }
      ],
      "frameworks": [],
      "arcBeats": [
        {
          "to": 4,
          "arc": {
            "name": "The Sequoia Pitch",
            "slug": "sequoia-pitch",
            "status": "active",
            "bestFor": "Investor pitches, Series A/B, board presentations",
            "canonId": "019dd956-5e69-75a7-a0a4-895ac1bc0444",
            "version": 1,
            "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49",
            "structure": "Problem -> Solution -> Why Now -> Market Size -> Competition -> Product -> Business Model -> Team -> Financials -> The Ask",
            "description": null,
            "familyLabel": null
          },
          "from": 4,
          "name": "Problem",
          "beatId": "4d4d4072-0783-47f1-9f80-f705ebde209a",
          "matchId": "5883e53f-8cee-4175-bac7-645cd078ba4a",
          "beatType": {
            "name": "Problem",
            "slug": "sequoia-pitch-problem",
            "status": "active",
            "canonId": "019dd9b8-1ed4-767b-8e05-40e733bd2311",
            "version": 1,
            "description": null
          },
          "evidence": "The problem statement is clearly presented on page 4.",
          "position": 0,
          "isPrimaryArc": true,
          "parentBeatType": {
            "name": "Complication",
            "slug": "complication",
            "status": "active",
            "canonId": "019dd9b8-0275-7709-b2d6-4f77c3fc7579",
            "version": 1,
            "description": "The point in the narrative where the audience should feel discomfort. Required for argumentative arcs."
          },
          "alignedBlockIds": null,
          "matchConfidence": 0.8
        }
      ],
      "loops": [
        {
          "to": 6,
          "from": 4,
          "loop": {
            "name": "27_cost_of_inaction",
            "slug": "27-cost-of-inaction",
            "status": "active",
            "bestFor": "Urgent budget requests, compliance, risk mitigation",
            "canonId": "019dd956-70d1-7395-a15b-857ba858b394",
            "version": 1,
            "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21",
            "structure": "The Status Quo -> The Hidden Costs Accumulating -> The Future State of Inaction -> The Tipping Point",
            "description": "Quantify what happens if the audience does nothing",
            "familyLabel": null
          },
          "matchId": "ca174b13-26cd-4607-8069-0f3067cb4792",
          "evidence": "The problem statement and solution imply a cost of inaction.",
          "position": 0,
          "objective": "What are the consequences of not optimizing algorithms?",
          "confidence": 0.7,
          "extraction": {
            "at": "2026-07-16 21:43:51.491372+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": "doc-narrative-v1"
          }
        },
        {
          "to": 7,
          "from": 4,
          "loop": {
            "name": "15_why_now",
            "slug": "15-why-now",
            "status": "active",
            "bestFor": "Sales pitches, fundraising, requesting immediate budget approval",
            "canonId": "019dd956-6c00-70cd-bd42-6bacc4af726f",
            "version": 1,
            "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21",
            "structure": "The Context (Trends) -> The Trigger Event -> The Window of Opportunity",
            "description": "Create temporal urgency by proving that the window of opportunity is opening or closing",
            "familyLabel": null
          },
          "matchId": "28826d32-95f0-4635-a59c-e8448334df7e",
          "evidence": "The market sizing and problem statement suggest a timely opportunity.",
          "position": 1,
          "objective": "Why is now the right time for this solution?",
          "confidence": 0.6,
          "extraction": {
            "at": "2026-07-16 21:43:51.525897+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": "doc-narrative-v1"
          }
        }
      ],
      "locked": true
    },
    {
      "page": 5,
      "type": "setup",
      "function": "inspire_vision",
      "rawType": "thesis_headline",
      "block": null,
      "metadata": {
        "slideType": "thesis_headline",
        "slideTypeCanon": {
          "name": "Thesis headline",
          "slug": "thesis_headline",
          "status": "active",
          "canonId": "019de52d-073a-70cb-b9f6-772a597bb5af",
          "version": 1,
          "description": null
        },
        "function": "inspire_vision",
        "functionCanon": {
          "name": "Inspire vision",
          "slug": "inspire_vision",
          "status": "active",
          "canonId": "019de52d-16d0-7756-83de-376eeac6fa40",
          "version": 1,
          "description": null
        },
        "density": "sparse",
        "densityScore": 4,
        "componentCount": 1,
        "textChars": 49,
        "nDataPoints": 0,
        "notes": null,
        "elementsJson": [
          "headline_text"
        ],
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 16:11:07.235+00",
          "seconds": 2.246,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019dd923-5fed-74f2-a96f-332f094e32c4/5",
        "deck": "/decks/019dd923-5fed-74f2-a96f-332f094e32c4",
        "deckAnchor": "/decks/019dd923-5fed-74f2-a96f-332f094e32c4#slide-5",
        "deckJson": "/decks/019dd923-5fed-74f2-a96f-332f094e32c4.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.24,
            "w": 0.7,
            "x": 0.15,
            "y": 0.38
          },
          "kind": "title",
          "text": "Re-imagining algorithms through program synthesis",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:11:07.235+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "ff42b9c0-cdd7-4c13-a8e6-965e1d5b1863",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [
        {
          "tool": {
            "name": "Thesis archetype",
            "slug": "thesis-archetype",
            "status": "active",
            "bestFor": null,
            "canonId": "019dd9e1-4b0b-7428-9b26-f171d1e753fb",
            "version": 1,
            "bodyDocId": null,
            "description": "A canonical investment / activist thesis shape (breakup, fraud, governance).",
            "familyLabel": null,
            "categoryName": null,
            "categorySlug": null
          },
          "agent": null,
          "layer": "slide",
          "agents": null,
          "matchId": "aee54b40-a8f2-44dc-ae22-a2c5db253a56",
          "evidence": "title/headline: Re-imagining algorithms through program synthesis",
          "pageRefs": null,
          "priority": null,
          "whenToUse": null,
          "confidence": 0.9,
          "extraction": {
            "at": "2026-07-16 22:36:12.099439+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 5,
          "whyItWorks": null,
          "antipattern": null,
          "cardinality": "optional",
          "narrativePurpose": null
        }
      ],
      "frameworks": [],
      "arcBeats": [],
      "loops": [
        {
          "to": 6,
          "from": 4,
          "loop": {
            "name": "27_cost_of_inaction",
            "slug": "27-cost-of-inaction",
            "status": "active",
            "bestFor": "Urgent budget requests, compliance, risk mitigation",
            "canonId": "019dd956-70d1-7395-a15b-857ba858b394",
            "version": 1,
            "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21",
            "structure": "The Status Quo -> The Hidden Costs Accumulating -> The Future State of Inaction -> The Tipping Point",
            "description": "Quantify what happens if the audience does nothing",
            "familyLabel": null
          },
          "matchId": "ca174b13-26cd-4607-8069-0f3067cb4792",
          "evidence": "The problem statement and solution imply a cost of inaction.",
          "position": 0,
          "objective": "What are the consequences of not optimizing algorithms?",
          "confidence": 0.7,
          "extraction": {
            "at": "2026-07-16 21:43:51.491372+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": "doc-narrative-v1"
          }
        },
        {
          "to": 7,
          "from": 4,
          "loop": {
            "name": "15_why_now",
            "slug": "15-why-now",
            "status": "active",
            "bestFor": "Sales pitches, fundraising, requesting immediate budget approval",
            "canonId": "019dd956-6c00-70cd-bd42-6bacc4af726f",
            "version": 1,
            "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21",
            "structure": "The Context (Trends) -> The Trigger Event -> The Window of Opportunity",
            "description": "Create temporal urgency by proving that the window of opportunity is opening or closing",
            "familyLabel": null
          },
          "matchId": "28826d32-95f0-4635-a59c-e8448334df7e",
          "evidence": "The market sizing and problem statement suggest a timely opportunity.",
          "position": 1,
          "objective": "Why is now the right time for this solution?",
          "confidence": 0.6,
          "extraction": {
            "at": "2026-07-16 21:43:51.525897+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": "doc-narrative-v1"
          }
        }
      ],
      "locked": true
    },
    {
      "page": 6,
      "type": "resolution",
      "title": "The slide uses a flywheel-like diagram to show the synthesis of three core technologies.",
      "function": "present_solution",
      "rawType": "solution",
      "block": null,
      "metadata": {
        "slideType": "solution",
        "slideTypeCanon": {
          "name": "Solution",
          "slug": "solution",
          "status": "active",
          "canonId": "019de52d-0eb5-72ff-8b70-ba70a4199282",
          "version": 1,
          "description": null
        },
        "function": "present_solution",
        "functionCanon": {
          "name": "Present solution",
          "slug": "present_solution",
          "status": "active",
          "canonId": "019de52d-15b8-71da-bd23-2b767850cbce",
          "version": 1,
          "description": null
        },
        "density": "dense",
        "densityScore": 62,
        "componentCount": 7,
        "textChars": 428,
        "nDataPoints": 0,
        "notes": "The slide uses a flywheel-like diagram to show the synthesis of three core technologies.",
        "elementsJson": [
          "headline_text",
          "paragraph",
          "process_diagram",
          "icon_grid"
        ],
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 16:11:08.295+00",
          "seconds": 3.039,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019dd923-5fed-74f2-a96f-332f094e32c4/6",
        "deck": "/decks/019dd923-5fed-74f2-a96f-332f094e32c4",
        "deckAnchor": "/decks/019dd923-5fed-74f2-a96f-332f094e32c4#slide-6",
        "deckJson": "/decks/019dd923-5fed-74f2-a96f-332f094e32c4.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.05,
            "w": 0.3,
            "x": 0.05,
            "y": 0.85
          },
          "kind": "callout",
          "text": "Algorithmic Breakthroughs.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Callout",
              "slug": "callout",
              "status": "active",
              "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2",
              "version": 1,
              "description": "Highlighted callout box."
            },
            "tool": null,
            "subkind": {
              "name": "Primary callout",
              "slug": "primary",
              "status": "active",
              "canonId": "019de52c-fbd1-70eb-a9ce-8997f8674c1d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "primary",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:11:08.295+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "ed673262-4168-482a-a6ac-86e8efa4ae3e",
          "parentComponentId": null
        },
        {
          "bbox": null,
          "kind": "callout",
          "text": "Current LLMs can't discover new algorithms ... so we are pioneering program synthesis.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Callout",
              "slug": "callout",
              "status": "active",
              "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2",
              "version": 1,
              "description": "Highlighted callout box."
            },
            "tool": {
              "name": "Visual emphasis",
              "slug": "visual-emphasis",
              "status": "active",
              "bestFor": null,
              "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c",
              "version": 1,
              "bodyDocId": null,
              "description": "Drawing the eye to one element above the rest of the slide.",
              "familyLabel": null
            },
            "subkind": null,
            "framework": null
          },
          "subkind": null,
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-04-27 14:56:38+00",
            "model": "or:google/gemini-3.1-flash-lite-preview",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "019dd952-b11a-739e-80a1-71dd0ddb2d59",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.5,
            "w": 0.3,
            "x": 0.35,
            "y": 0.25
          },
          "kind": "diagram",
          "text": "Central Hive logo surrounded by icons for LLMs, Formal Methods, and Search",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Diagram",
              "slug": "diagram",
              "status": "active",
              "canonId": "019de52c-f9f0-734a-81de-15382ff28c65",
              "version": 1,
              "description": "Schematic or relational diagram."
            },
            "tool": null,
            "subkind": null,
            "framework": null
          },
          "subkind": "flywheel",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:11:08.295+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "7e6140f6-d654-431d-a33c-c3ba94697e32",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.3,
            "w": 0.2,
            "x": 0.05,
            "y": 0.4
          },
          "kind": "list",
          "text": "LLMs + Formal methods + Search",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "List",
              "slug": "list",
              "status": "active",
              "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2",
              "version": 1,
              "description": "Bullet or numbered list."
            },
            "tool": null,
            "subkind": {
              "name": "Bullet list",
              "slug": "bullet",
              "status": "active",
              "canonId": "019de52c-fc98-7169-a083-5cab805076ca",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "bullet",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:11:08.295+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "2a073516-1a45-4dad-8f78-700cc161882b",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.6,
            "w": 0.25,
            "x": 0.7,
            "y": 0.2
          },
          "kind": "list",
          "text": "Best algorithm, Fast, Interpretable, Verifiable, Safe & easy to deploy",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "List",
              "slug": "list",
              "status": "active",
              "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2",
              "version": 1,
              "description": "Bullet or numbered list."
            },
            "tool": null,
            "subkind": {
              "name": "Bullet list",
              "slug": "bullet",
              "status": "active",
              "canonId": "019de52c-fc98-7169-a083-5cab805076ca",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "bullet",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:11:08.295+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "b3c7ab5a-3d25-492c-a015-54778fb17ef3",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.15,
            "w": 0.3,
            "x": 0.05,
            "y": 0.2
          },
          "kind": "paragraph",
          "text": "Current LLMs can't discover new algorithms ... so we are pioneering program synthesis.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:11:08.295+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "1ac951b9-1143-44f6-92fd-59e02de45eea",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.1,
            "w": 0.9,
            "x": 0.05,
            "y": 0.05
          },
          "kind": "title",
          "text": "Introducing our algorithmic discovery platform: the Hive",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:11:08.295+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "2581b4af-24f1-46f1-8d06-da1e9d00db7f",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [],
      "frameworks": [
        {
          "matchId": "9e06e40b-1827-42b3-8e95-dceee99de8e7",
          "evidence": "Circular diagram showing the interaction of three components",
          "framework": null,
          "confidence": 0.8,
          "extraction": {
            "at": "2026-05-02 16:11:08.295+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 6,
          "frameworkName": "flywheel"
        }
      ],
      "arcBeats": [
        {
          "to": 6,
          "arc": {
            "name": "The Sequoia Pitch",
            "slug": "sequoia-pitch",
            "status": "active",
            "bestFor": "Investor pitches, Series A/B, board presentations",
            "canonId": "019dd956-5e69-75a7-a0a4-895ac1bc0444",
            "version": 1,
            "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49",
            "structure": "Problem -> Solution -> Why Now -> Market Size -> Competition -> Product -> Business Model -> Team -> Financials -> The Ask",
            "description": null,
            "familyLabel": null
          },
          "from": 6,
          "name": "Solution",
          "beatId": "4200ce1e-bd33-4782-97b0-3ad4f2aeacb9",
          "matchId": "5883e53f-8cee-4175-bac7-645cd078ba4a",
          "beatType": {
            "name": "Solution",
            "slug": "sequoia-pitch-solution",
            "status": "active",
            "canonId": "019dd9b8-1fb1-71d9-a260-07738d7f9c2f",
            "version": 1,
            "description": null
          },
          "evidence": "The solution is introduced on page 6.",
          "position": 1,
          "isPrimaryArc": true,
          "parentBeatType": {
            "name": "Turn",
            "slug": "turn",
            "status": "active",
            "canonId": "019dd9b8-0396-702b-ac2f-9901f8dd8b54",
            "version": 1,
            "description": "The pivot — solution proposed, catalyst introduced, decision made. Common (15/20 arcs) but not universal: Triple-take, AIDA, PAS, Voyage-return and Pixar substitute it with a strong reflection or development beat."
          },
          "alignedBlockIds": null,
          "matchConfidence": 0.8
        }
      ],
      "loops": [
        {
          "to": 6,
          "from": 4,
          "loop": {
            "name": "27_cost_of_inaction",
            "slug": "27-cost-of-inaction",
            "status": "active",
            "bestFor": "Urgent budget requests, compliance, risk mitigation",
            "canonId": "019dd956-70d1-7395-a15b-857ba858b394",
            "version": 1,
            "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21",
            "structure": "The Status Quo -> The Hidden Costs Accumulating -> The Future State of Inaction -> The Tipping Point",
            "description": "Quantify what happens if the audience does nothing",
            "familyLabel": null
          },
          "matchId": "ca174b13-26cd-4607-8069-0f3067cb4792",
          "evidence": "The problem statement and solution imply a cost of inaction.",
          "position": 0,
          "objective": "What are the consequences of not optimizing algorithms?",
          "confidence": 0.7,
          "extraction": {
            "at": "2026-07-16 21:43:51.491372+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": "doc-narrative-v1"
          }
        },
        {
          "to": 7,
          "from": 4,
          "loop": {
            "name": "15_why_now",
            "slug": "15-why-now",
            "status": "active",
            "bestFor": "Sales pitches, fundraising, requesting immediate budget approval",
            "canonId": "019dd956-6c00-70cd-bd42-6bacc4af726f",
            "version": 1,
            "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21",
            "structure": "The Context (Trends) -> The Trigger Event -> The Window of Opportunity",
            "description": "Create temporal urgency by proving that the window of opportunity is opening or closing",
            "familyLabel": null
          },
          "matchId": "28826d32-95f0-4635-a59c-e8448334df7e",
          "evidence": "The market sizing and problem statement suggest a timely opportunity.",
          "position": 1,
          "objective": "Why is now the right time for this solution?",
          "confidence": 0.6,
          "extraction": {
            "at": "2026-07-16 21:43:51.525897+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": "doc-narrative-v1"
          }
        }
      ],
      "locked": true
    },
    {
      "page": 7,
      "type": "resolution",
      "title": "Uses hexagonal containers to group market segments with associated icons and sub-use cases.",
      "function": "size_opportunity",
      "rawType": "market_sizing",
      "block": null,
      "metadata": {
        "slideType": "market_sizing",
        "slideTypeCanon": {
          "name": "Market sizing",
          "slug": "market_sizing",
          "status": "active",
          "canonId": "019de52d-08c8-756c-8664-733b73a7ee7b",
          "version": 1,
          "description": null
        },
        "function": "size_opportunity",
        "functionCanon": {
          "name": "Size opportunity",
          "slug": "size_opportunity",
          "status": "active",
          "canonId": "019de52d-147b-7568-8828-a74a27697618",
          "version": 1,
          "description": null
        },
        "density": "dense",
        "densityScore": 73,
        "componentCount": 10,
        "textChars": 338,
        "nDataPoints": 3,
        "notes": "Uses hexagonal containers to group market segments with associated icons and sub-use cases.",
        "elementsJson": [
          "action_title",
          "icon_grid",
          "big_number",
          "bullet_list",
          "footnote"
        ],
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 16:11:08.837+00",
          "seconds": 3.565,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019dd923-5fed-74f2-a96f-332f094e32c4/7",
        "deck": "/decks/019dd923-5fed-74f2-a96f-332f094e32c4",
        "deckAnchor": "/decks/019dd923-5fed-74f2-a96f-332f094e32c4#slide-7",
        "deckJson": "/decks/019dd923-5fed-74f2-a96f-332f094e32c4.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.2,
            "w": 0.8,
            "x": 0.1,
            "y": 0.2
          },
          "kind": "image",
          "text": null,
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Icon grid",
              "slug": "icon-grid",
              "status": "active",
              "canonId": "019de52c-fdfe-749d-9990-1db465a3eed4",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "icon-grid",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:11:08.837+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "f470f485-cda5-4cd8-8f11-9cd8779e554c",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.15,
            "w": 0.22,
            "x": 0.08,
            "y": 0.65
          },
          "kind": "list",
          "text": "AI model training\nComputing resource allocation",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "List",
              "slug": "list",
              "status": "active",
              "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2",
              "version": 1,
              "description": "Bullet or numbered list."
            },
            "tool": null,
            "subkind": {
              "name": "Bullet list",
              "slug": "bullet",
              "status": "active",
              "canonId": "019de52c-fc98-7169-a083-5cab805076ca",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "bullet",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:11:08.837+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "4d17c037-774a-417e-91fa-db1812c90da0",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.15,
            "w": 0.22,
            "x": 0.39,
            "y": 0.65
          },
          "kind": "list",
          "text": "Assembly line scheduling\nOil Field campaign plans",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "List",
              "slug": "list",
              "status": "active",
              "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2",
              "version": 1,
              "description": "Bullet or numbered list."
            },
            "tool": null,
            "subkind": {
              "name": "Bullet list",
              "slug": "bullet",
              "status": "active",
              "canonId": "019de52c-fc98-7169-a083-5cab805076ca",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "bullet",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:11:08.837+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "5b46a35a-eade-4a56-8c63-8199a18ebe0b",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.15,
            "w": 0.22,
            "x": 0.7,
            "y": 0.65
          },
          "kind": "list",
          "text": "Portfolio optimization\nUltra low latency execution",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "List",
              "slug": "list",
              "status": "active",
              "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2",
              "version": 1,
              "description": "Bullet or numbered list."
            },
            "tool": null,
            "subkind": {
              "name": "Bullet list",
              "slug": "bullet",
              "status": "active",
              "canonId": "019de52c-fc98-7169-a083-5cab805076ca",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "bullet",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:11:08.837+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "d2447441-ce37-452d-a8be-95f5a3619677",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.4,
            "w": 0.28,
            "x": 0.05,
            "y": 0.4
          },
          "kind": "metric",
          "text": "$10.8B IT Infrastructure",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Metric",
              "slug": "metric",
              "status": "active",
              "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d",
              "version": 1,
              "description": "Big-number or KPI value."
            },
            "tool": null,
            "subkind": {
              "name": "Big number",
              "slug": "big-number",
              "status": "active",
              "canonId": "019de52c-fc70-70c8-b965-0584548a9204",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "big-number",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:11:08.837+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "27a5cb8f-1727-4236-98af-bd5652601b41",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.4,
            "w": 0.28,
            "x": 0.36,
            "y": 0.4
          },
          "kind": "metric",
          "text": "$3.4B Operational Planning",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Metric",
              "slug": "metric",
              "status": "active",
              "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d",
              "version": 1,
              "description": "Big-number or KPI value."
            },
            "tool": null,
            "subkind": {
              "name": "Big number",
              "slug": "big-number",
              "status": "active",
              "canonId": "019de52c-fc70-70c8-b965-0584548a9204",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "big-number",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:11:08.837+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "df370a97-1c79-4a26-adaa-165cb3078444",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.4,
            "w": 0.28,
            "x": 0.67,
            "y": 0.4
          },
          "kind": "metric",
          "text": "$2.6B Algorithmic Trading",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Metric",
              "slug": "metric",
              "status": "active",
              "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d",
              "version": 1,
              "description": "Big-number or KPI value."
            },
            "tool": null,
            "subkind": {
              "name": "Big number",
              "slug": "big-number",
              "status": "active",
              "canonId": "019de52c-fc70-70c8-b965-0584548a9204",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "big-number",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:11:08.837+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "fece6856-eb35-499b-9a68-54936c476540",
          "parentComponentId": null
        },
        {
          "bbox": null,
          "kind": "metric",
          "text": "TAM: $16.8B",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Metric",
              "slug": "metric",
              "status": "active",
              "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d",
              "version": 1,
              "description": "Big-number or KPI value."
            },
            "tool": {
              "name": "Quantification",
              "slug": "quantification",
              "status": "active",
              "bestFor": null,
              "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88",
              "version": 1,
              "bodyDocId": null,
              "description": "Translating a claim into numbers, charts, or tables.",
              "familyLabel": null
            },
            "subkind": null,
            "framework": null
          },
          "subkind": "primary",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-04-27 14:56:38+00",
            "model": "or:google/gemini-3.1-flash-lite-preview",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "019dd952-b11a-739e-80a2-07940f003799",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.05,
            "w": 0.25,
            "x": 0.75,
            "y": 0.95
          },
          "kind": "source-note",
          "text": "*Market sizings corresponding to US/EU enterprise segment",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Source note",
              "slug": "source-note",
              "status": "active",
              "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948",
              "version": 1,
              "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered."
            },
            "tool": null,
            "subkind": null,
            "framework": null
          },
          "subkind": null,
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:11:08.837+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "c2979df3-4e85-4924-8ff6-79c4f6b9872a",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.1,
            "w": 0.9,
            "x": 0.05,
            "y": 0.05
          },
          "kind": "title",
          "text": "Algorithms run markets. We seize the opportunity.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:11:08.837+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "61ef0ee7-ddec-4ed1-9b91-ebbb003dffa2",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [],
      "frameworks": [
        {
          "matchId": "dbc0527e-a94b-49f2-926a-14d1cfa7d819",
          "evidence": "Categorization of market opportunities into distinct segments with sub-use cases.",
          "framework": null,
          "confidence": 0.7,
          "extraction": {
            "at": "2026-05-02 16:11:08.837+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 7,
          "frameworkName": "market-segmentation-pyramid"
        }
      ],
      "arcBeats": [
        {
          "to": 7,
          "arc": {
            "name": "The Sequoia Pitch",
            "slug": "sequoia-pitch",
            "status": "active",
            "bestFor": "Investor pitches, Series A/B, board presentations",
            "canonId": "019dd956-5e69-75a7-a0a4-895ac1bc0444",
            "version": 1,
            "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49",
            "structure": "Problem -> Solution -> Why Now -> Market Size -> Competition -> Product -> Business Model -> Team -> Financials -> The Ask",
            "description": null,
            "familyLabel": null
          },
          "from": 7,
          "name": "Market Size",
          "beatId": "09370178-6b64-45cb-881d-fb522edad150",
          "matchId": "5883e53f-8cee-4175-bac7-645cd078ba4a",
          "beatType": {
            "name": "Market Size",
            "slug": "sequoia-pitch-market-size",
            "status": "active",
            "canonId": "019dd9b8-20e6-729c-bc28-05442906d032",
            "version": 1,
            "description": null
          },
          "evidence": "Market sizing is presented on page 7.",
          "position": 2,
          "isPrimaryArc": true,
          "parentBeatType": {
            "name": "Evidence",
            "slug": "evidence",
            "status": "active",
            "canonId": "019dd9b8-03f9-772a-b84a-4f07b415b77a",
            "version": 1,
            "description": "A dedicated proof beat exists in only ~4 arcs (Gambit, Sequoia, AIDA, Monroes). Other arcs embed evidence inline within development."
          },
          "alignedBlockIds": null,
          "matchConfidence": 0.8
        }
      ],
      "loops": [
        {
          "to": 7,
          "from": 4,
          "loop": {
            "name": "15_why_now",
            "slug": "15-why-now",
            "status": "active",
            "bestFor": "Sales pitches, fundraising, requesting immediate budget approval",
            "canonId": "019dd956-6c00-70cd-bd42-6bacc4af726f",
            "version": 1,
            "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21",
            "structure": "The Context (Trends) -> The Trigger Event -> The Window of Opportunity",
            "description": "Create temporal urgency by proving that the window of opportunity is opening or closing",
            "familyLabel": null
          },
          "matchId": "28826d32-95f0-4635-a59c-e8448334df7e",
          "evidence": "The market sizing and problem statement suggest a timely opportunity.",
          "position": 1,
          "objective": "Why is now the right time for this solution?",
          "confidence": 0.6,
          "extraction": {
            "at": "2026-07-16 21:43:51.525897+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": "doc-narrative-v1"
          }
        }
      ],
      "locked": true
    }
  ],
  "arcBeats": [
    {
      "from": 4,
      "to": 4,
      "label": "Problem",
      "description": "The problem statement is clearly presented on page 4."
    },
    {
      "from": 6,
      "to": 6,
      "label": "Solution",
      "description": "The solution is introduced on page 6."
    },
    {
      "from": 7,
      "to": 7,
      "label": "Market Size",
      "description": "Market sizing is presented on page 7."
    },
    {
      "from": 1,
      "to": 1,
      "label": "Attention",
      "description": "The cover slide grabs attention with the company name and title."
    },
    {
      "from": 2,
      "to": 3,
      "label": "Interest",
      "description": "The team bio and traction slides generate interest in the company's capabilities."
    }
  ],
  "loops": [
    {
      "from": 4,
      "to": 6,
      "label": "Cost Of Inaction",
      "description": "What are the consequences of not optimizing algorithms?"
    },
    {
      "from": 4,
      "to": 7,
      "label": "Why Now",
      "description": "Why is now the right time for this solution?"
    }
  ]
}