{
  "schemaVersion": "deck-intelligence.v1",
  "id": "019dd923-5fec-763b-95d0-77ce4047819f",
  "slug": "bi-2e15f648270c87d4",
  "title": "Machine-learning model startup Aporia raises $25 million: pitch deck",
  "subtitle": "Aporia",
  "author": "Aporia",
  "pageCount": 12,
  "kind": "pitchdeck",
  "orientation": "landscape",
  "aspectRatio": 1.777,
  "document": {
    "id": "019dd923-5fec-763b-95d0-77ce4047819f",
    "slug": "bi-2e15f648270c87d4",
    "title": "Machine-learning model startup Aporia raises $25 million: pitch deck",
    "rawTitle": "Machine-learning model startup Aporia raises $25 million: pitch deck",
    "authorId": "Pitchdecks",
    "authorName": "Aporia",
    "authorDisplay": "Aporia",
    "kind": {
      "slug": "pitchdeck",
      "label": "Pitch deck"
    },
    "sourceType": {
      "slug": "strategy_consulting",
      "label": "Strategy consulting"
    },
    "fileName": "Tiger-bi-2e15f.pdf",
    "sourceUrl": "https://www.businessinsider.com/ai-tiger-global-aporia-pitch-deck-25-million-2022-2",
    "sourceDate": "2022-02-23 00:00:00",
    "presentationDate": null,
    "ingestedAt": "2026-04-27 09:52:25.428+00",
    "status": "ready",
    "pageCount": 12,
    "orientation": "landscape",
    "aspectRatio": 1.777,
    "targetCompany": null,
    "targetTicker": null,
    "metadata": {
      "local_root": "/tmp/legacy-images/bi-2e15f648270c87d4",
      "origin_corpus": "consulting"
    }
  },
  "coverage": {
    "pageCount": 12,
    "pagesIndexed": 12,
    "pagesWithImages": 12,
    "pagesWithMetadata": 12,
    "imageCoveragePct": 100,
    "metadataCoveragePct": 100,
    "componentCount": 57,
    "chartCount": 3,
    "metricSlides": 0,
    "toolMatches": 1,
    "documentToolMatches": 0,
    "frameworkMatches": 5,
    "arcMatches": 1,
    "beatMatches": 3,
    "loopMatches": 1,
    "patternMatches": 0,
    "storymakersMatch": false,
    "scoreAvailable": false,
    "reviewAvailable": false,
    "activistThesisAvailable": false,
    "pitchdeckMetadataAvailable": true,
    "pitchdeckProfileAvailable": true
  },
  "blocks": [],
  "matches": {
    "arcs": [
      {
        "arc": {
          "name": "Problem-Agitate-Solution",
          "slug": "problem-agitate-solution",
          "status": "active",
          "bestFor": "Sales pitches, urgency-driven, competitive displacement",
          "canonId": "019dd956-5ec6-70f9-9fd8-fdbaaff39acf",
          "version": 1,
          "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49",
          "structure": "Problem (Identify pain) -> Agitate (Make it worse) -> Solution (Provide relief)",
          "description": null,
          "familyLabel": null,
          "categoryName": "Strategy & Business",
          "categorySlug": "strategy-business"
        },
        "matchId": "8fac4a76-aad6-4185-8822-93b74f0b169e",
        "evidence": "The deck follows a clear problem-agitate-solution structure",
        "isPrimary": true,
        "confidence": 0.9,
        "extraction": {
          "at": "2026-07-16 21:41:17.003313+00",
          "model": "or:meta-llama/llama-4-scout",
          "runId": null,
          "seconds": null,
          "promptVersion": "doc-narrative-v1"
        }
      }
    ],
    "beats": [
      {
        "to": 7,
        "arc": {
          "name": "Problem-Agitate-Solution",
          "slug": "problem-agitate-solution",
          "status": "active",
          "bestFor": "Sales pitches, urgency-driven, competitive displacement",
          "canonId": "019dd956-5ec6-70f9-9fd8-fdbaaff39acf",
          "version": 1,
          "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49",
          "structure": "Problem (Identify pain) -> Agitate (Make it worse) -> Solution (Provide relief)",
          "description": null,
          "familyLabel": null,
          "categoryName": "Strategy & Business",
          "categorySlug": "strategy-business"
        },
        "from": 3,
        "name": "Problem",
        "beatId": "2e39371e-b118-466e-8b56-dea7832e9f7a",
        "matchId": "8fac4a76-aad6-4185-8822-93b74f0b169e",
        "beatType": {
          "name": "Problem (Identify pain)",
          "slug": "problem-agitate-solution-problem-identify-pain",
          "status": "active",
          "canonId": "019dd9b8-0e78-74bb-b8f6-54348367a131",
          "version": 1,
          "description": null
        },
        "evidence": "Slides 3-7 focus on the problem of ML models failing in production",
        "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": 0.9
      },
      {
        "to": 8,
        "arc": {
          "name": "Problem-Agitate-Solution",
          "slug": "problem-agitate-solution",
          "status": "active",
          "bestFor": "Sales pitches, urgency-driven, competitive displacement",
          "canonId": "019dd956-5ec6-70f9-9fd8-fdbaaff39acf",
          "version": 1,
          "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49",
          "structure": "Problem (Identify pain) -> Agitate (Make it worse) -> Solution (Provide relief)",
          "description": null,
          "familyLabel": null,
          "categoryName": "Strategy & Business",
          "categorySlug": "strategy-business"
        },
        "from": 8,
        "name": "Agitate",
        "beatId": "ff6fa4cf-6d99-42b5-8a40-176523880c02",
        "matchId": "8fac4a76-aad6-4185-8822-93b74f0b169e",
        "beatType": {
          "name": "Agitate (Make it worse)",
          "slug": "problem-agitate-solution-agitate-make-it-worse",
          "status": "active",
          "canonId": "019dd9b8-0f5a-71dd-bae7-8fadb0d09456",
          "version": 1,
          "description": null
        },
        "evidence": "Slide 8 highlights top priority pain points",
        "position": 1,
        "isPrimaryArc": true,
        "parentBeatType": {
          "name": "Development",
          "slug": "development",
          "status": "active",
          "canonId": "019dd9b8-0332-7008-b3aa-11b0840a57b1",
          "version": 1,
          "description": "The middle stretch in arcs that have one. Often where length problems creep in."
        },
        "alignedBlockIds": null,
        "matchConfidence": 0.9
      },
      {
        "to": 10,
        "arc": {
          "name": "Problem-Agitate-Solution",
          "slug": "problem-agitate-solution",
          "status": "active",
          "bestFor": "Sales pitches, urgency-driven, competitive displacement",
          "canonId": "019dd956-5ec6-70f9-9fd8-fdbaaff39acf",
          "version": 1,
          "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49",
          "structure": "Problem (Identify pain) -> Agitate (Make it worse) -> Solution (Provide relief)",
          "description": null,
          "familyLabel": null,
          "categoryName": "Strategy & Business",
          "categorySlug": "strategy-business"
        },
        "from": 10,
        "name": "Solution",
        "beatId": "78d2b380-6559-4c52-a322-c393b307ff1a",
        "matchId": "8fac4a76-aad6-4185-8822-93b74f0b169e",
        "beatType": {
          "name": "Solution (Provide relief)",
          "slug": "problem-agitate-solution-solution-provide-relief",
          "status": "active",
          "canonId": "019dd9b8-0fee-73e9-9ae5-799c7f3895cd",
          "version": 1,
          "description": null
        },
        "evidence": "Slide 10 presents Aporia's solution",
        "position": 2,
        "isPrimaryArc": true,
        "parentBeatType": {
          "name": "Resolution",
          "slug": "resolution",
          "status": "active",
          "canonId": "019dd9b8-045d-703b-8dd7-e92aba3ba91b",
          "version": 1,
          "description": "How the deck ends. Required in 19/20 arcs. The exception (Sparkline) ends with new bliss which is functionally a resolution."
        },
        "alignedBlockIds": null,
        "matchConfidence": 0.9
      }
    ],
    "loops": [
      {
        "to": 7,
        "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": "b9a7f297-86d2-48e5-9c3a-659c36ca5feb",
        "evidence": "Slides 4-7 create a sense of urgency",
        "position": 0,
        "objective": "Why now?",
        "confidence": 0.7,
        "extraction": {
          "at": "2026-07-16 21:41:17.163121+00",
          "model": "or:meta-llama/llama-4-scout",
          "runId": null,
          "seconds": null,
          "promptVersion": "doc-narrative-v1"
        }
      }
    ],
    "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": "6fd7c3f2-432b-4f2b-86d4-58cc720ee65e",
        "evidence": "The slide presents a clear problem statement in a bullet list.",
        "pageRefs": null,
        "priority": null,
        "whenToUse": null,
        "confidence": 0.7,
        "extraction": {
          "at": "2026-07-16 22:33:30.748873+00",
          "model": "or:meta-llama/llama-4-scout",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 3,
        "whyItWorks": null,
        "antipattern": null,
        "cardinality": null,
        "narrativePurpose": null
      }
    ],
    "frameworks": [
      {
        "matchId": "ad188453-af4d-48c5-847b-b8123fdb65cd",
        "evidence": "Slide title and content structure",
        "framework": null,
        "confidence": 1,
        "extraction": {
          "at": "2026-05-02 16:17:26.495+00",
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 4,
        "frameworkName": "why-now"
      },
      {
        "matchId": "997d0f7a-3706-4f17-8e17-c6f8b8bbb3cc",
        "evidence": "Uses specific case studies to generalize the risk of ML failure.",
        "framework": null,
        "confidence": 0.9,
        "extraction": {
          "at": "2026-05-02 16:17:23.071+00",
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 5,
        "frameworkName": "argument-from-analogy"
      },
      {
        "matchId": "fa544eed-ee2b-4ce9-978a-9f0e98e8bc35",
        "evidence": "Uses two distinct case studies to prove a broader point about ML failure.",
        "framework": null,
        "confidence": 0.8,
        "extraction": {
          "at": "2026-05-02 16:17:24.252+00",
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 6,
        "frameworkName": "evidence-matrix"
      },
      {
        "matchId": "089d06b9-d15f-44b9-b8dc-a10200c18843",
        "evidence": "Explicitly uses the 'tip of the iceberg' metaphor to frame the problem.",
        "framework": null,
        "confidence": 1,
        "extraction": {
          "at": "2026-05-02 16:17:25.803+00",
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 7,
        "frameworkName": "iceberg-model"
      },
      {
        "matchId": "c630f032-50d9-4eec-b7ca-feb278f911d1",
        "evidence": "The slide frames features around the 'Why' (user needs/pain points) and the 'What' (product solution).",
        "framework": null,
        "confidence": 0.8,
        "extraction": {
          "at": "2026-05-02 16:17:23.927+00",
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 11,
        "frameworkName": "jobs-to-be-done"
      }
    ],
    "patterns": []
  },
  "storymakers": null,
  "score": null,
  "review": null,
  "activistThesis": null,
  "pitchdeck": {
    "metadata": {
      "author": "Martin Coulter",
      "fireId": "bi-2e15f648270c87d4",
      "sector": "ai",
      "deckKind": "fundraise",
      "roundRaw": null,
      "amountRaw": "$25 million",
      "amountUsd": "25000000",
      "scrapedAt": "2026-04-27 09:52:25.428+00",
      "sectorRaw": "Artificial intelligence",
      "sourceUrl": "https://www.businessinsider.com/ai-tiger-global-aporia-pitch-deck-25-million-2022-2",
      "deckKindAt": "2026-04-28 07:19:06+00",
      "highlights": "Artificial intelligence is integral to self-driving vehicles, facial recognition, and fraud. Aporia wants to reduce bias.",
      "slideCount": 12,
      "companyName": "Tiger",
      "description": "Artificial intelligence is integral to self-driving vehicles, facial recognition, and fraud. Aporia wants to reduce bias.",
      "displayName": "Aporia",
      "publishDate": "2022-02-23",
      "roundSeries": null,
      "articleTitle": "Machine-learning model startup Aporia raises $25 million: pitch deck",
      "leadInvestors": null,
      "deckKindSignal": "raises",
      "metaExtractedAt": "2026-04-28 07:16:02+00"
    },
    "profile": {
      "scores": {
        "yc": 0.3786,
        "a16z": 0.2986,
        "docsend": 0.2758,
        "hoffman": 0.3014,
        "mcclure": 0.3486,
        "sequoia": 0.5234,
        "kawasaki": 0.2986,
        "nextview": 0.6194,
        "slidebean": 0.3643,
        "founder_institute": 0.2471
      },
      "nSlides": 12,
      "sequence": [
        "cover",
        "team_bio",
        "problem_statement",
        "why_now",
        "problem_statement",
        "pain_points",
        "pain_points",
        "pain_points",
        "vision",
        "solution",
        "unfair_advantage",
        "closing_ask"
      ],
      "breakdown": {
        "yc": {
          "order": 0.4,
          "signal": 0.08,
          "jaccard": 0.3571
        },
        "a16z": {
          "order": 0.4,
          "signal": 0,
          "jaccard": 0.3571
        },
        "docsend": {
          "order": 0.3636,
          "signal": 0,
          "jaccard": 0.3333
        },
        "hoffman": {
          "order": 0.3636,
          "signal": 0,
          "jaccard": 0.3846
        },
        "mcclure": {
          "order": 0.4,
          "signal": 0.05,
          "jaccard": 0.3571
        },
        "sequoia": {
          "order": 0.3636,
          "signal": 0.2,
          "jaccard": 0.4286
        },
        "kawasaki": {
          "order": 0.4,
          "signal": 0,
          "jaccard": 0.3571
        },
        "nextview": {
          "order": 0.5556,
          "signal": 0.18,
          "jaccard": 0.5455
        },
        "slidebean": {
          "order": 0.5,
          "signal": 0,
          "jaccard": 0.4286
        },
        "founder_institute": {
          "order": 0.3333,
          "signal": 0,
          "jaccard": 0.2941
        }
      },
      "matchedAt": "2026-04-27 21:51:54+00",
      "noveltyScore": 0.6806,
      "primaryScore": 0.6194,
      "noveltySignals": [
        "rare slide types: vision, why_now",
        "duplicated ≥3×: pain_points",
        "non-canonical types: pain_points"
      ],
      "primaryProfile": "nextview",
      "secondaryScore": 0.5234,
      "secondaryProfile": "sequoia"
    }
  },
  "slides": [
    {
      "page": 1,
      "type": "setup",
      "function": "front_matter",
      "imagePath": "https://imgproxy.kitesheet.com/CCRRwt5Hv2Ci2Qs8yecYryxkDlXG7Aac2I6a6u84Fgc/rs:fit:1200:1200:0/q:82/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy9iaS0yZTE1ZjY0ODI3MGM4N2Q0L3AwMDEuanBn",
      "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": 4,
        "componentCount": 2,
        "textChars": 38,
        "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 16:17:23.811+00",
          "seconds": 3.952,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019dd923-5fec-763b-95d0-77ce4047819f/1",
        "deck": "/decks/019dd923-5fec-763b-95d0-77ce4047819f",
        "deckAnchor": "/decks/019dd923-5fec-763b-95d0-77ce4047819f#slide-1",
        "deckJson": "/decks/019dd923-5fec-763b-95d0-77ce4047819f.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.08,
            "w": 0.15,
            "x": 0.05,
            "y": 0.05
          },
          "kind": "image",
          "text": "Aporia logo",
          "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 16:17:23.811+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "a8e2a53b-38c3-4ae1-b44e-5ed02635d7ca",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.2,
            "w": 0.6,
            "x": 0.05,
            "y": 0.25
          },
          "kind": "title",
          "text": "Full-Stack ML Observability",
          "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 16:17:23.811+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "c00496f6-f4c8-4c16-bab1-ba458df71384",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [],
      "frameworks": [],
      "arcBeats": [],
      "loops": [],
      "thumbSrc": "https://imgproxy.kitesheet.com/XNkcYfbG5qh6k3tWXK6nBieTMhr6EYjN5aJK9tA_26Y/rs:fit:480:480:0/q:78/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy9iaS0yZTE1ZjY0ODI3MGM4N2Q0L3AwMDEuanBn",
      "imagePathAlt": "https://imgproxy.kitesheet.com/zmyWtUCTWLawsgLa3CR2-LVI-Hf5QzzcpDSOoC-LDnk/rs:fit:1200:1200:0/q:82/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy9iaS0yZTE1ZjY0ODI3MGM4N2Q0L3AwMDEucG5n",
      "thumbSrcAlt": "https://imgproxy.kitesheet.com/uATrSy3WTj7hlaNW2BYQHq-phyWARNjfQlsDyEdxLb8/rs:fit:480:480:0/q:78/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy9iaS0yZTE1ZjY0ODI3MGM4N2Q0L3AwMDEucG5n"
    },
    {
      "page": 2,
      "type": "setup",
      "title": "The slide uses a combination of individual headshots for leadership and a group photo for the broader team, supplemented by a logo grid of previous employers.",
      "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": 61,
        "componentCount": 9,
        "textChars": 264,
        "nDataPoints": 0,
        "notes": "The slide uses a combination of individual headshots for leadership and a group photo for the broader team, supplemented by a logo grid of previous employers.",
        "elementsJson": [
          "headshot",
          "photo",
          "logo_grid"
        ],
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 16:17:23.454+00",
          "seconds": 3.458,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019dd923-5fec-763b-95d0-77ce4047819f/2",
        "deck": "/decks/019dd923-5fec-763b-95d0-77ce4047819f",
        "deckAnchor": "/decks/019dd923-5fec-763b-95d0-77ce4047819f#slide-2",
        "deckJson": "/decks/019dd923-5fec-763b-95d0-77ce4047819f.json"
      },
      "components": [
        {
          "bbox": null,
          "kind": "callout",
          "text": "Uniquely talented team, from successful companies",
          "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 14:56:35+00",
            "model": "or:google/gemini-3.1-flash-lite-preview",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "019dd952-b11a-739e-809f-ee9ee05b2f5b",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.22,
            "w": 0.16,
            "x": 0.08,
            "y": 0.49
          },
          "kind": "image",
          "text": "Avishag Daniely, Head of Product",
          "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 16:17:23.454+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "2df4fc15-f884-4a92-88c1-61bdcbc708cb",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.22,
            "w": 0.16,
            "x": 0.27,
            "y": 0.21
          },
          "kind": "image",
          "text": "Alon Gubkin, Co-Founder & CTO",
          "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 16:17:23.454+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "3b7a1648-a7af-4ac8-8859-50aabeb2f7a9",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.22,
            "w": 0.16,
            "x": 0.27,
            "y": 0.49
          },
          "kind": "image",
          "text": "Suzanne Kagan, Director of Marketing",
          "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 16:17:23.454+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "4df37438-47d8-4d43-8826-fd35c05cb339",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.22,
            "w": 0.16,
            "x": 0.08,
            "y": 0.21
          },
          "kind": "image",
          "text": "Liran Hason, Co-Founder & CEO",
          "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 16:17:23.454+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "6b550b83-04ee-4f2d-b523-be577b5b850d",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.12,
            "w": 0.96,
            "x": 0.02,
            "y": 0.79
          },
          "kind": "image",
          "text": "Company logos",
          "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 16:17:23.454+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "0c6eb0b2-0dd8-4e02-b63f-4568edbdfcd5",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.46,
            "w": 0.45,
            "x": 0.48,
            "y": 0.25
          },
          "kind": "image",
          "text": "Group photo of the team",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Photo",
              "slug": "photo",
              "status": "active",
              "canonId": "019de52c-fd37-757f-b4a8-ca26d4888875",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "photo",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:17:23.454+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "7a7ef73f-b216-457b-bfa7-66815fd36e20",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.03,
            "w": 0.45,
            "x": 0.49,
            "y": 0.21
          },
          "kind": "title",
          "text": "Uniquely talented team, from successful companies",
          "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": "Action title",
              "slug": "action-title",
              "status": "active",
              "canonId": "019de52c-fb31-734c-a0f5-a3935b73135d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "action-title",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:17:23.454+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "84254c70-205c-4fb4-b160-35b1a5d59ac7",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.09,
            "w": 0.16,
            "x": 0.04,
            "y": 0.03
          },
          "kind": "title",
          "text": "Team",
          "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 16:17:23.454+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "cde399e1-ac28-48bb-b2dc-c4d89471a735",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [],
      "frameworks": [],
      "arcBeats": [],
      "loops": [],
      "locked": true
    },
    {
      "page": 3,
      "type": "tension",
      "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": "sparse",
        "densityScore": 15,
        "componentCount": 2,
        "textChars": 211,
        "nDataPoints": 0,
        "notes": null,
        "elementsJson": [
          "bullet_list"
        ],
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 16:17:22.338+00",
          "seconds": 2.247,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019dd923-5fec-763b-95d0-77ce4047819f/3",
        "deck": "/decks/019dd923-5fec-763b-95d0-77ce4047819f",
        "deckAnchor": "/decks/019dd923-5fec-763b-95d0-77ce4047819f#slide-3",
        "deckJson": "/decks/019dd923-5fec-763b-95d0-77ce4047819f.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.35,
            "w": 0.92,
            "x": 0.04,
            "y": 0.18
          },
          "kind": "list",
          "text": "AI failures in production are on the rise\nExisting solutions monitor only software infrastructure and do not cover data and ML models\nBusinesses are at risk due to the unexpected behavior of ML models",
          "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 16:17:22.338+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "bc5d1389-8eca-42b7-bed5-4083d7e2f237",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.08,
            "w": 0.25,
            "x": 0.04,
            "y": 0.03
          },
          "kind": "title",
          "text": "The Problem",
          "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 16:17:22.338+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "50b1b875-5bf9-4443-bccc-d11e8eacb055",
          "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": "6fd7c3f2-432b-4f2b-86d4-58cc720ee65e",
          "evidence": "The slide presents a clear problem statement in a bullet list.",
          "pageRefs": null,
          "priority": null,
          "whenToUse": null,
          "confidence": 0.7,
          "extraction": {
            "at": "2026-07-16 22:33:30.748873+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 3,
          "whyItWorks": null,
          "antipattern": null,
          "cardinality": null,
          "narrativePurpose": null
        }
      ],
      "frameworks": [],
      "arcBeats": [
        {
          "to": 7,
          "arc": {
            "name": "Problem-Agitate-Solution",
            "slug": "problem-agitate-solution",
            "status": "active",
            "bestFor": "Sales pitches, urgency-driven, competitive displacement",
            "canonId": "019dd956-5ec6-70f9-9fd8-fdbaaff39acf",
            "version": 1,
            "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49",
            "structure": "Problem (Identify pain) -> Agitate (Make it worse) -> Solution (Provide relief)",
            "description": null,
            "familyLabel": null
          },
          "from": 3,
          "name": "Problem",
          "beatId": "2e39371e-b118-466e-8b56-dea7832e9f7a",
          "matchId": "8fac4a76-aad6-4185-8822-93b74f0b169e",
          "beatType": {
            "name": "Problem (Identify pain)",
            "slug": "problem-agitate-solution-problem-identify-pain",
            "status": "active",
            "canonId": "019dd9b8-0e78-74bb-b8f6-54348367a131",
            "version": 1,
            "description": null
          },
          "evidence": "Slides 3-7 focus on the problem of ML models failing in production",
          "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": 0.9
        }
      ],
      "loops": [],
      "locked": true
    },
    {
      "page": 4,
      "type": "setup",
      "title": "Includes two bar charts showing market growth projections for MLOps and AI platforms.",
      "function": "argue_timing",
      "rawType": "why_now",
      "block": null,
      "metadata": {
        "slideType": "why_now",
        "slideTypeCanon": {
          "name": "Why now",
          "slug": "why_now",
          "status": "active",
          "canonId": "019de52d-0f2e-718d-b8ad-256dd87582d0",
          "version": 1,
          "description": null
        },
        "function": "argue_timing",
        "functionCanon": {
          "name": "Argue timing (why now)",
          "slug": "argue_timing",
          "status": "active",
          "canonId": "019de52d-16f8-74de-9ec2-900be07d90dd",
          "version": 1,
          "description": null
        },
        "density": "dense",
        "densityScore": 62,
        "componentCount": 5,
        "textChars": 585,
        "nDataPoints": 6,
        "notes": "Includes two bar charts showing market growth projections for MLOps and AI platforms.",
        "elementsJson": [
          "headline_text",
          "bullet_list",
          "bar_chart_vertical"
        ],
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 16:17:26.495+00",
          "seconds": 5.895,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019dd923-5fec-763b-95d0-77ce4047819f/4",
        "deck": "/decks/019dd923-5fec-763b-95d0-77ce4047819f",
        "deckAnchor": "/decks/019dd923-5fec-763b-95d0-77ce4047819f#slide-4",
        "deckJson": "/decks/019dd923-5fec-763b-95d0-77ce4047819f.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.35,
            "w": 0.232,
            "x": 0.732,
            "y": 0.155
          },
          "kind": "chart",
          "text": "Machine Learning Operations market growth from $350M in 2019 to $4B in 2025 (CAGR 50%)",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Chart",
              "slug": "chart",
              "status": "active",
              "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8",
              "version": 1,
              "description": "Quantitative chart."
            },
            "tool": null,
            "subkind": {
              "name": "Vertical bar chart",
              "slug": "bar-vertical",
              "status": "active",
              "canonId": "019de52c-fe9d-70f2-b3b7-a9ae294f5917",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "bar-vertical",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:17:26.495+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "9d101d89-f2f1-46f4-973b-2a073faee84f",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.35,
            "w": 0.232,
            "x": 0.732,
            "y": 0.575
          },
          "kind": "chart",
          "text": "AI Platform & Developer Tools market growth from $2.1B in 2016 to $9.8B in 2022 (CAGR 31%)",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Chart",
              "slug": "chart",
              "status": "active",
              "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8",
              "version": 1,
              "description": "Quantitative chart."
            },
            "tool": null,
            "subkind": {
              "name": "Vertical bar chart",
              "slug": "bar-vertical",
              "status": "active",
              "canonId": "019de52c-fe9d-70f2-b3b7-a9ae294f5917",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "bar-vertical",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:17:26.495+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "ad7a92a3-1d27-4a5b-b6bc-604d1305385d",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.65,
            "w": 0.6,
            "x": 0.04,
            "y": 0.18
          },
          "kind": "list",
          "text": "Massive deployments of ML Models in production (most organizations have more than 25 models in production)\nML infrastructure has become more mature with many moving parts in production\nApril 2021 - AI is becoming regulated with the European Union draft for AI regulation\nMLOps is on the rise with ML Engineer being the most sought-after job on LinkedIn. Demand grew by 504% since 2017.",
          "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 16:17:26.495+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "7b3a1836-9275-4d31-a403-b4cb0c2cc265",
          "parentComponentId": null
        },
        {
          "bbox": null,
          "kind": "metric",
          "text": "Market Size: $4B",
          "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 14:56:34+00",
            "model": "or:google/gemini-3.1-flash-lite-preview",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "019dd952-b11a-739e-809f-271b377c5dcf",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.08,
            "w": 0.2,
            "x": 0.04,
            "y": 0.03
          },
          "kind": "title",
          "text": "Why Now?",
          "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 16:17:26.495+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "45b8b328-b0ab-4ecf-96e5-b6d1503e11c3",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [],
      "frameworks": [
        {
          "matchId": "ad188453-af4d-48c5-847b-b8123fdb65cd",
          "evidence": "Slide title and content structure",
          "framework": null,
          "confidence": 1,
          "extraction": {
            "at": "2026-05-02 16:17:26.495+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 4,
          "frameworkName": "why-now"
        }
      ],
      "arcBeats": [
        {
          "to": 7,
          "arc": {
            "name": "Problem-Agitate-Solution",
            "slug": "problem-agitate-solution",
            "status": "active",
            "bestFor": "Sales pitches, urgency-driven, competitive displacement",
            "canonId": "019dd956-5ec6-70f9-9fd8-fdbaaff39acf",
            "version": 1,
            "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49",
            "structure": "Problem (Identify pain) -> Agitate (Make it worse) -> Solution (Provide relief)",
            "description": null,
            "familyLabel": null
          },
          "from": 3,
          "name": "Problem",
          "beatId": "2e39371e-b118-466e-8b56-dea7832e9f7a",
          "matchId": "8fac4a76-aad6-4185-8822-93b74f0b169e",
          "beatType": {
            "name": "Problem (Identify pain)",
            "slug": "problem-agitate-solution-problem-identify-pain",
            "status": "active",
            "canonId": "019dd9b8-0e78-74bb-b8f6-54348367a131",
            "version": 1,
            "description": null
          },
          "evidence": "Slides 3-7 focus on the problem of ML models failing in production",
          "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": 0.9
        }
      ],
      "loops": [
        {
          "to": 7,
          "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": "b9a7f297-86d2-48e5-9c3a-659c36ca5feb",
          "evidence": "Slides 4-7 create a sense of urgency",
          "position": 0,
          "objective": "Why now?",
          "confidence": 0.7,
          "extraction": {
            "at": "2026-07-16 21:41:17.163121+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": "doc-narrative-v1"
          }
        }
      ],
      "locked": true
    },
    {
      "page": 5,
      "type": "tension",
      "title": "Uses case studies to demonstrate the negative business impact of AI failures.",
      "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": "balanced",
        "densityScore": 46,
        "componentCount": 5,
        "textChars": 274,
        "nDataPoints": 2,
        "notes": "Uses case studies to demonstrate the negative business impact of AI failures.",
        "elementsJson": [
          "action_title",
          "screenshot",
          "other"
        ],
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 16:17:23.071+00",
          "seconds": 2.463,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019dd923-5fec-763b-95d0-77ce4047819f/5",
        "deck": "/decks/019dd923-5fec-763b-95d0-77ce4047819f",
        "deckAnchor": "/decks/019dd923-5fec-763b-95d0-77ce4047819f#slide-5",
        "deckJson": "/decks/019dd923-5fec-763b-95d0-77ce4047819f.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.6,
            "w": 0.45,
            "x": 0.05,
            "y": 0.2
          },
          "kind": "image",
          "text": "Zillow news article screenshot",
          "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": "Screenshot",
              "slug": "screenshot",
              "status": "active",
              "canonId": "019de52c-fd87-7509-8391-3d79fb339379",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "screenshot",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:17:23.071+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "95568e81-b686-4061-b9a1-d4160511aa66",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.6,
            "w": 0.45,
            "x": 0.52,
            "y": 0.2
          },
          "kind": "image",
          "text": "Amazon news article screenshot",
          "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": "Screenshot",
              "slug": "screenshot",
              "status": "active",
              "canonId": "019de52c-fd87-7509-8391-3d79fb339379",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "screenshot",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:17:23.071+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "bf82ca02-44fb-421f-bc09-83be754217c1",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.15,
            "w": 0.45,
            "x": 0.05,
            "y": 0.75
          },
          "kind": "list",
          "text": "Zillow impacts: $304M Loss, Damage to brand reputation, Loss trust in AI, Loss of $9B in valuation",
          "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 16:17:23.071+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "0d14c8f6-7c58-4788-aa31-59146ffdad47",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.15,
            "w": 0.45,
            "x": 0.52,
            "y": 0.75
          },
          "kind": "list",
          "text": "Amazon impacts: Exposure to compliance fines, Discrimination, Damage to brand reputation",
          "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 16:17:23.071+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "228cf6f4-4848-4d7b-bc7b-5e873c047c17",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.1,
            "w": 0.6,
            "x": 0.05,
            "y": 0.05
          },
          "kind": "title",
          "text": "ML Models Fail in Production",
          "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 16:17:23.071+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "d5d1bcd7-a8a4-4cfb-8be9-73bdaf30bb15",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [],
      "frameworks": [
        {
          "matchId": "997d0f7a-3706-4f17-8e17-c6f8b8bbb3cc",
          "evidence": "Uses specific case studies to generalize the risk of ML failure.",
          "framework": null,
          "confidence": 0.9,
          "extraction": {
            "at": "2026-05-02 16:17:23.071+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 5,
          "frameworkName": "argument-from-analogy"
        }
      ],
      "arcBeats": [
        {
          "to": 7,
          "arc": {
            "name": "Problem-Agitate-Solution",
            "slug": "problem-agitate-solution",
            "status": "active",
            "bestFor": "Sales pitches, urgency-driven, competitive displacement",
            "canonId": "019dd956-5ec6-70f9-9fd8-fdbaaff39acf",
            "version": 1,
            "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49",
            "structure": "Problem (Identify pain) -> Agitate (Make it worse) -> Solution (Provide relief)",
            "description": null,
            "familyLabel": null
          },
          "from": 3,
          "name": "Problem",
          "beatId": "2e39371e-b118-466e-8b56-dea7832e9f7a",
          "matchId": "8fac4a76-aad6-4185-8822-93b74f0b169e",
          "beatType": {
            "name": "Problem (Identify pain)",
            "slug": "problem-agitate-solution-problem-identify-pain",
            "status": "active",
            "canonId": "019dd9b8-0e78-74bb-b8f6-54348367a131",
            "version": 1,
            "description": null
          },
          "evidence": "Slides 3-7 focus on the problem of ML models failing in production",
          "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": 0.9
        }
      ],
      "loops": [
        {
          "to": 7,
          "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": "b9a7f297-86d2-48e5-9c3a-659c36ca5feb",
          "evidence": "Slides 4-7 create a sense of urgency",
          "position": 0,
          "objective": "Why now?",
          "confidence": 0.7,
          "extraction": {
            "at": "2026-07-16 21:41:17.163121+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": "doc-narrative-v1"
          }
        }
      ],
      "locked": true
    },
    {
      "page": 6,
      "type": "tension",
      "title": "Uses real-world examples (K1 supercomputer and Microsoft Tay) to establish the problem space.",
      "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": 65,
        "componentCount": 7,
        "textChars": 380,
        "nDataPoints": 1,
        "notes": "Uses real-world examples (K1 supercomputer and Microsoft Tay) to establish the problem space.",
        "elementsJson": [
          "action_title",
          "screenshot",
          "footnote"
        ],
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 16:17:24.252+00",
          "seconds": 3.543,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019dd923-5fec-763b-95d0-77ce4047819f/6",
        "deck": "/decks/019dd923-5fec-763b-95d0-77ce4047819f",
        "deckAnchor": "/decks/019dd923-5fec-763b-95d0-77ce4047819f#slide-6",
        "deckJson": "/decks/019dd923-5fec-763b-95d0-77ce4047819f.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.7,
            "w": 0.45,
            "x": 0.05,
            "y": 0.18
          },
          "kind": "image",
          "text": "Screenshot of a news article about K1 supercomputer investment failure",
          "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": "Screenshot",
              "slug": "screenshot",
              "status": "active",
              "canonId": "019de52c-fd87-7509-8391-3d79fb339379",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "screenshot",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:17:24.252+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "015c54b2-23b6-4460-87f3-afb6cb8691b6",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.7,
            "w": 0.45,
            "x": 0.52,
            "y": 0.18
          },
          "kind": "image",
          "text": "Screenshot of a racist tweet from Microsoft's Tay chatbot",
          "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": "Screenshot",
              "slug": "screenshot",
              "status": "active",
              "canonId": "019de52c-fd87-7509-8391-3d79fb339379",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "screenshot",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:17:24.252+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "2b001c5a-864c-4adf-b52f-167ef51a2650",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.05,
            "w": 0.35,
            "x": 0.6,
            "y": 0.75
          },
          "kind": "paragraph",
          "text": "Discrimination, Damage to brand reputation",
          "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 16:17:24.252+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "aeca1b7c-1674-4b16-aaf3-a74ae0a5437f",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.05,
            "w": 0.25,
            "x": 0.15,
            "y": 0.75
          },
          "kind": "paragraph",
          "text": "Loss of trust in AI, Loss of revenues",
          "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 16:17:24.252+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "ff6e6185-f42c-4d6b-88d8-16810ec4b778",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.03,
            "w": 0.4,
            "x": 0.55,
            "y": 0.9
          },
          "kind": "source-note",
          "text": "https://www.theverge.com/2016/3/24/11297050/tay-microsoft-chatbot-racist",
          "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 16:17:24.252+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "d0743bb1-ac3a-4c91-8efb-80e15fd177d7",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.03,
            "w": 0.35,
            "x": 0.1,
            "y": 0.9
          },
          "kind": "source-note",
          "text": "https://medium.com/syncedreview/2019-in-review-10-ai-failures-317b46155350",
          "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 16:17:24.252+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "e0a76ee6-22b8-4c4e-8302-9d540abc508d",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.1,
            "w": 0.6,
            "x": 0.05,
            "y": 0.03
          },
          "kind": "title",
          "text": "ML Models Fail in Production",
          "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 16:17:24.252+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "1f68e5a3-c21e-4940-b0d0-3fdf39f12688",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [],
      "frameworks": [
        {
          "matchId": "fa544eed-ee2b-4ce9-978a-9f0e98e8bc35",
          "evidence": "Uses two distinct case studies to prove a broader point about ML failure.",
          "framework": null,
          "confidence": 0.8,
          "extraction": {
            "at": "2026-05-02 16:17:24.252+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 6,
          "frameworkName": "evidence-matrix"
        }
      ],
      "arcBeats": [
        {
          "to": 7,
          "arc": {
            "name": "Problem-Agitate-Solution",
            "slug": "problem-agitate-solution",
            "status": "active",
            "bestFor": "Sales pitches, urgency-driven, competitive displacement",
            "canonId": "019dd956-5ec6-70f9-9fd8-fdbaaff39acf",
            "version": 1,
            "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49",
            "structure": "Problem (Identify pain) -> Agitate (Make it worse) -> Solution (Provide relief)",
            "description": null,
            "familyLabel": null
          },
          "from": 3,
          "name": "Problem",
          "beatId": "2e39371e-b118-466e-8b56-dea7832e9f7a",
          "matchId": "8fac4a76-aad6-4185-8822-93b74f0b169e",
          "beatType": {
            "name": "Problem (Identify pain)",
            "slug": "problem-agitate-solution-problem-identify-pain",
            "status": "active",
            "canonId": "019dd9b8-0e78-74bb-b8f6-54348367a131",
            "version": 1,
            "description": null
          },
          "evidence": "Slides 3-7 focus on the problem of ML models failing in production",
          "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": 0.9
        }
      ],
      "loops": [
        {
          "to": 7,
          "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": "b9a7f297-86d2-48e5-9c3a-659c36ca5feb",
          "evidence": "Slides 4-7 create a sense of urgency",
          "position": 0,
          "objective": "Why now?",
          "confidence": 0.7,
          "extraction": {
            "at": "2026-07-16 21:41:17.163121+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": "doc-narrative-v1"
          }
        }
      ],
      "locked": true
    },
    {
      "page": 7,
      "type": "tension",
      "title": "Uses the 'tip of the iceberg' metaphor to suggest these are just examples of a larger, systemic problem.",
      "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": "sparse",
        "densityScore": 19,
        "componentCount": 3,
        "textChars": 199,
        "nDataPoints": 0,
        "notes": "Uses the 'tip of the iceberg' metaphor to suggest these are just examples of a larger, systemic problem.",
        "elementsJson": [
          "action_title",
          "screenshot",
          "callout_box"
        ],
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 16:17:25.803+00",
          "seconds": 5.018,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019dd923-5fec-763b-95d0-77ce4047819f/7",
        "deck": "/decks/019dd923-5fec-763b-95d0-77ce4047819f",
        "deckAnchor": "/decks/019dd923-5fec-763b-95d0-77ce4047819f#slide-7",
        "deckJson": "/decks/019dd923-5fec-763b-95d0-77ce4047819f.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.22,
            "w": 0.64,
            "x": 0.18,
            "y": 0.39
          },
          "kind": "callout",
          "text": "And this is just the tip of the iceberg, AI fails on a daily basis",
          "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 16:17:25.803+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "c4e6cc09-0e25-4a9f-94d5-848aae04d2b6",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.75,
            "w": 0.68,
            "x": 0.16,
            "y": 0.13
          },
          "kind": "image",
          "text": "Collage of news articles about Zillow, AI investment, Amazon bias, Microsoft Tay, and Uber self-driving.",
          "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": "Screenshot",
              "slug": "screenshot",
              "status": "active",
              "canonId": "019de52c-fd87-7509-8391-3d79fb339379",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "screenshot",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:17:25.803+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "c56b5533-be30-44e7-a50e-d639aa592956",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.08,
            "w": 0.65,
            "x": 0.05,
            "y": 0.03
          },
          "kind": "title",
          "text": "ML Models Fail in Production.",
          "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 16:17:25.803+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "f71379d7-99b8-4f10-8534-197f050c16df",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [],
      "frameworks": [
        {
          "matchId": "089d06b9-d15f-44b9-b8dc-a10200c18843",
          "evidence": "Explicitly uses the 'tip of the iceberg' metaphor to frame the problem.",
          "framework": null,
          "confidence": 1,
          "extraction": {
            "at": "2026-05-02 16:17:25.803+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 7,
          "frameworkName": "iceberg-model"
        }
      ],
      "arcBeats": [
        {
          "to": 7,
          "arc": {
            "name": "Problem-Agitate-Solution",
            "slug": "problem-agitate-solution",
            "status": "active",
            "bestFor": "Sales pitches, urgency-driven, competitive displacement",
            "canonId": "019dd956-5ec6-70f9-9fd8-fdbaaff39acf",
            "version": 1,
            "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49",
            "structure": "Problem (Identify pain) -> Agitate (Make it worse) -> Solution (Provide relief)",
            "description": null,
            "familyLabel": null
          },
          "from": 3,
          "name": "Problem",
          "beatId": "2e39371e-b118-466e-8b56-dea7832e9f7a",
          "matchId": "8fac4a76-aad6-4185-8822-93b74f0b169e",
          "beatType": {
            "name": "Problem (Identify pain)",
            "slug": "problem-agitate-solution-problem-identify-pain",
            "status": "active",
            "canonId": "019dd9b8-0e78-74bb-b8f6-54348367a131",
            "version": 1,
            "description": null
          },
          "evidence": "Slides 3-7 focus on the problem of ML models failing in production",
          "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": 0.9
        }
      ],
      "loops": [
        {
          "to": 7,
          "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": "b9a7f297-86d2-48e5-9c3a-659c36ca5feb",
          "evidence": "Slides 4-7 create a sense of urgency",
          "position": 0,
          "objective": "Why now?",
          "confidence": 0.7,
          "extraction": {
            "at": "2026-07-16 21:41:17.163121+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": "doc-narrative-v1"
          }
        }
      ],
      "locked": true
    },
    {
      "page": 8,
      "type": "tension",
      "function": "frame_problem",
      "rawType": "pain_points",
      "block": null,
      "metadata": {
        "slideType": "pain_points",
        "slideTypeCanon": {
          "name": "Pain points",
          "slug": "pain_points",
          "status": "active",
          "canonId": "019de52d-08a0-761d-a14f-1dbc5e447381",
          "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": 70,
        "componentCount": 6,
        "textChars": 567,
        "nDataPoints": 8,
        "notes": null,
        "elementsJson": [
          "headline_text",
          "bullet_list",
          "bar_chart_horizontal",
          "footnote"
        ],
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 16:17:23.529+00",
          "seconds": 2.455,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019dd923-5fec-763b-95d0-77ce4047819f/8",
        "deck": "/decks/019dd923-5fec-763b-95d0-77ce4047819f",
        "deckAnchor": "/decks/019dd923-5fec-763b-95d0-77ce4047819f#slide-8",
        "deckJson": "/decks/019dd923-5fec-763b-95d0-77ce4047819f.json"
      },
      "components": [
        {
          "bbox": null,
          "kind": "callout",
          "text": "In 2021 Enterprise executives have identified Unexpected outcomes, Models degradation and Transparency as the top 3 risks for AI",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Callout",
              "slug": "callout",
              "status": "active",
              "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2",
              "version": 1,
              "description": "Highlighted callout box."
            },
            "tool": {
              "name": "Visual emphasis",
              "slug": "visual-emphasis",
              "status": "active",
              "bestFor": null,
              "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c",
              "version": 1,
              "bodyDocId": null,
              "description": "Drawing the eye to one element above the rest of the slide.",
              "familyLabel": null
            },
            "subkind": null,
            "framework": null
          },
          "subkind": null,
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-04-27 14:56:34+00",
            "model": "or:google/gemini-3.1-flash-lite-preview",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "019dd952-b11a-739e-809f-3a1302b8ad59",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.6,
            "w": 0.4,
            "x": 0.55,
            "y": 0.25
          },
          "kind": "chart",
          "text": "AI Risks prioritized by Enterprise Executives according to O'Reilly",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Chart",
              "slug": "chart",
              "status": "active",
              "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8",
              "version": 1,
              "description": "Quantitative chart."
            },
            "tool": null,
            "subkind": {
              "name": "Horizontal bar chart",
              "slug": "bar-horizontal",
              "status": "active",
              "canonId": "019de52c-fec4-7221-986b-1cb5f5e84b1f",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "bar-horizontal",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:17:23.529+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "34bb6469-a6e4-4b4b-8dc1-c7556391890b",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.25,
            "w": 0.45,
            "x": 0.04,
            "y": 0.22
          },
          "kind": "list",
          "text": "Executives prioritize Responsible AI tools as #1 priority in 2021\nIn 2021 Enterprise executives have identified Unexpected outcomes, Models degradation and Transparency as the top 3 risks for AI",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "List",
              "slug": "list",
              "status": "active",
              "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2",
              "version": 1,
              "description": "Bullet or numbered list."
            },
            "tool": null,
            "subkind": {
              "name": "Bullet list",
              "slug": "bullet",
              "status": "active",
              "canonId": "019de52c-fc98-7169-a083-5cab805076ca",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "bullet",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:17:23.529+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "d44c5632-c4df-4fe3-bc1b-c950440bd22e",
          "parentComponentId": null
        },
        {
          "bbox": null,
          "kind": "metric",
          "text": "AI risk prioritization",
          "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 14:56:34+00",
            "model": "or:google/gemini-3.1-flash-lite-preview",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "019dd952-b11a-739e-809f-3d80ab107007",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.08,
            "w": 0.4,
            "x": 0.04,
            "y": 0.9
          },
          "kind": "source-note",
          "text": "1 - https://www.pwc.com/us/en/tech-effect/ai-analytics/ai-predictions.html\n2 - https://www.oreilly.com/radar/ai-adoption-in-the-enterprise-2021/",
          "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 16:17:23.529+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "479be2d4-69a9-462f-b47f-11b376a40527",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.08,
            "w": 0.25,
            "x": 0.04,
            "y": 0.03
          },
          "kind": "title",
          "text": "Top Priority",
          "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 16:17:23.529+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "24b6741d-6209-48f4-8860-4a3b4a922887",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [],
      "frameworks": [],
      "arcBeats": [
        {
          "to": 8,
          "arc": {
            "name": "Problem-Agitate-Solution",
            "slug": "problem-agitate-solution",
            "status": "active",
            "bestFor": "Sales pitches, urgency-driven, competitive displacement",
            "canonId": "019dd956-5ec6-70f9-9fd8-fdbaaff39acf",
            "version": 1,
            "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49",
            "structure": "Problem (Identify pain) -> Agitate (Make it worse) -> Solution (Provide relief)",
            "description": null,
            "familyLabel": null
          },
          "from": 8,
          "name": "Agitate",
          "beatId": "ff6fa4cf-6d99-42b5-8a40-176523880c02",
          "matchId": "8fac4a76-aad6-4185-8822-93b74f0b169e",
          "beatType": {
            "name": "Agitate (Make it worse)",
            "slug": "problem-agitate-solution-agitate-make-it-worse",
            "status": "active",
            "canonId": "019dd9b8-0f5a-71dd-bae7-8fadb0d09456",
            "version": 1,
            "description": null
          },
          "evidence": "Slide 8 highlights top priority pain points",
          "position": 1,
          "isPrimaryArc": true,
          "parentBeatType": {
            "name": "Development",
            "slug": "development",
            "status": "active",
            "canonId": "019dd9b8-0332-7008-b3aa-11b0840a57b1",
            "version": 1,
            "description": "The middle stretch in arcs that have one. Often where length problems creep in."
          },
          "alignedBlockIds": null,
          "matchConfidence": 0.9
        }
      ],
      "loops": [],
      "locked": true
    },
    {
      "page": 9,
      "type": "setup",
      "title": "Minimalist design with a browser-window-like container.",
      "function": "inspire_vision",
      "rawType": "mission",
      "block": null,
      "metadata": {
        "slideType": "mission",
        "slideTypeCanon": {
          "name": "Mission",
          "slug": "mission",
          "status": "active",
          "canonId": "019de52d-0fce-7496-b34c-18fd6a6e3310",
          "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": 3,
        "componentCount": 1,
        "textChars": 44,
        "nDataPoints": 0,
        "notes": "Minimalist design with a browser-window-like container.",
        "elementsJson": [
          "headline_text"
        ],
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 16:17:23.486+00",
          "seconds": 2.413,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019dd923-5fec-763b-95d0-77ce4047819f/9",
        "deck": "/decks/019dd923-5fec-763b-95d0-77ce4047819f",
        "deckAnchor": "/decks/019dd923-5fec-763b-95d0-77ce4047819f#slide-9",
        "deckJson": "/decks/019dd923-5fec-763b-95d0-77ce4047819f.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.25,
            "w": 0.74,
            "x": 0.13,
            "y": 0.35
          },
          "kind": "title",
          "text": "Aporia empowers businesses to Trust their 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 16:17:23.486+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "6393539f-f994-4ae2-8488-68d23682bbfb",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [],
      "frameworks": [],
      "arcBeats": [],
      "loops": [],
      "locked": true
    },
    {
      "page": 10,
      "type": "resolution",
      "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": 68,
        "componentCount": 7,
        "textChars": 589,
        "nDataPoints": 0,
        "notes": null,
        "elementsJson": [
          "headline_text",
          "paragraph",
          "screenshot"
        ],
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 16:17:24.099+00",
          "seconds": 3.01,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019dd923-5fec-763b-95d0-77ce4047819f/10",
        "deck": "/decks/019dd923-5fec-763b-95d0-77ce4047819f",
        "deckAnchor": "/decks/019dd923-5fec-763b-95d0-77ce4047819f#slide-10",
        "deckJson": "/decks/019dd923-5fec-763b-95d0-77ce4047819f.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.28,
            "w": 0.28,
            "x": 0.68,
            "y": 0.05
          },
          "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": "Screenshot",
              "slug": "screenshot",
              "status": "active",
              "canonId": "019de52c-fd87-7509-8391-3d79fb339379",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "screenshot",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:17:24.099+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "326e9c3f-eb0a-4cbe-bb22-9137f76365ec",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.28,
            "w": 0.28,
            "x": 0.68,
            "y": 0.7
          },
          "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": "Screenshot",
              "slug": "screenshot",
              "status": "active",
              "canonId": "019de52c-fd87-7509-8391-3d79fb339379",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "screenshot",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:17:24.099+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "ae3f4935-0d7a-45f4-bc83-bd56c4d2c70b",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.28,
            "w": 0.28,
            "x": 0.68,
            "y": 0.37
          },
          "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": "Screenshot",
              "slug": "screenshot",
              "status": "active",
              "canonId": "019de52c-fd87-7509-8391-3d79fb339379",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "screenshot",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:17:24.099+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "ca5d9262-951d-4b9b-8f81-a9c69061b981",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.25,
            "w": 0.4,
            "x": 0.23,
            "y": 0.38
          },
          "kind": "paragraph",
          "text": "Monitoring & Automation: Aporia monitors models 24/7 for a wide variety of issues and behaviors, allowing early detection of issues before they affect users. Data Scientists can define automated workflows, such as model retraining, triggering internal pipelines, and more.",
          "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 16:17:24.099+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "244b73b1-b878-48ed-b474-4716f3ae966c",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.15,
            "w": 0.4,
            "x": 0.23,
            "y": 0.72
          },
          "kind": "paragraph",
          "text": "Root Cause Analysis: With our advanced investigation toolbox, data scientists can drill down in production data and quickly find the root cause and remediate any issue.",
          "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 16:17:24.099+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "52418392-344d-4002-bb53-3cba3d0b8710",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.2,
            "w": 0.4,
            "x": 0.23,
            "y": 0.05
          },
          "kind": "paragraph",
          "text": "Visibility: Get a clear picture of what models are running in production, what inputs they receive, and what predictions they are making.",
          "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 16:17:24.099+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "840b7901-1e3e-4d7d-a747-8362a9ef844d",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.15,
            "w": 0.15,
            "x": 0.05,
            "y": 0.05
          },
          "kind": "title",
          "text": "The Solution",
          "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 16:17:24.099+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "16c3546f-7561-45e9-8ba9-5bdf891c1806",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [],
      "frameworks": [],
      "arcBeats": [
        {
          "to": 10,
          "arc": {
            "name": "Problem-Agitate-Solution",
            "slug": "problem-agitate-solution",
            "status": "active",
            "bestFor": "Sales pitches, urgency-driven, competitive displacement",
            "canonId": "019dd956-5ec6-70f9-9fd8-fdbaaff39acf",
            "version": 1,
            "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49",
            "structure": "Problem (Identify pain) -> Agitate (Make it worse) -> Solution (Provide relief)",
            "description": null,
            "familyLabel": null
          },
          "from": 10,
          "name": "Solution",
          "beatId": "78d2b380-6559-4c52-a322-c393b307ff1a",
          "matchId": "8fac4a76-aad6-4185-8822-93b74f0b169e",
          "beatType": {
            "name": "Solution (Provide relief)",
            "slug": "problem-agitate-solution-solution-provide-relief",
            "status": "active",
            "canonId": "019dd9b8-0fee-73e9-9ae5-799c7f3895cd",
            "version": 1,
            "description": null
          },
          "evidence": "Slide 10 presents Aporia's solution",
          "position": 2,
          "isPrimaryArc": true,
          "parentBeatType": {
            "name": "Resolution",
            "slug": "resolution",
            "status": "active",
            "canonId": "019dd9b8-045d-703b-8dd7-e92aba3ba91b",
            "version": 1,
            "description": "How the deck ends. Required in 19/20 arcs. The exception (Sparkline) ends with new bliss which is functionally a resolution."
          },
          "alignedBlockIds": null,
          "matchConfidence": 0.9
        }
      ],
      "loops": [],
      "locked": true
    },
    {
      "page": 11,
      "type": "setup",
      "title": "The slide uses a 'Why?' structure to justify each feature, effectively linking product capabilities to user needs.",
      "function": "present_solution",
      "rawType": "unfair_advantage",
      "block": null,
      "metadata": {
        "slideType": "unfair_advantage",
        "slideTypeCanon": {
          "name": "Unfair advantage",
          "slug": "unfair_advantage",
          "status": "active",
          "canonId": "019de52d-0f56-744f-8bb4-c8a8cca240d6",
          "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": 412,
        "nDataPoints": 0,
        "notes": "The slide uses a 'Why?' structure to justify each feature, effectively linking product capabilities to user needs.",
        "elementsJson": [
          "headline_text",
          "action_title",
          "paragraph",
          "screenshot",
          "icon_grid"
        ],
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 16:17:23.927+00",
          "seconds": 2.794,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019dd923-5fec-763b-95d0-77ce4047819f/11",
        "deck": "/decks/019dd923-5fec-763b-95d0-77ce4047819f",
        "deckAnchor": "/decks/019dd923-5fec-763b-95d0-77ce4047819f#slide-11",
        "deckJson": "/decks/019dd923-5fec-763b-95d0-77ce4047819f.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.25,
            "w": 0.18,
            "x": 0.78,
            "y": 0.7
          },
          "kind": "image",
          "text": null,
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Logo 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 16:17:23.927+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "69926108-446b-4cb5-9b39-9a3fdebee87a",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.15,
            "w": 0.22,
            "x": 0.75,
            "y": 0.4
          },
          "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": "Screenshot",
              "slug": "screenshot",
              "status": "active",
              "canonId": "019de52c-fd87-7509-8391-3d79fb339379",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "screenshot",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:17:23.927+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "33e787ca-7604-4ab9-9443-e2829be62860",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.2,
            "w": 0.18,
            "x": 0.78,
            "y": 0.05
          },
          "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": "Screenshot",
              "slug": "screenshot",
              "status": "active",
              "canonId": "019de52c-fd87-7509-8391-3d79fb339379",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "screenshot",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:17:23.927+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "ab7ac977-93e8-4cfd-95cf-f292a57cc35c",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.2,
            "w": 0.45,
            "x": 0.28,
            "y": 0.35
          },
          "kind": "list",
          "text": "Build your own monitors: Aporia's no-code Monitor Builder allows data scientists to build any monitoring logic they need.",
          "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 16:17:23.927+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "0859cfdf-4d28-44db-b514-419f374bad56",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.15,
            "w": 0.45,
            "x": 0.28,
            "y": 0.05
          },
          "kind": "list",
          "text": "Try it on your own experience: Aporia is the only self-serve monitoring solution where data scientists can sign up and experience the platform within seconds.",
          "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 16:17:23.927+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "1995f361-ceb3-42b0-b4ff-15a0a1ff3507",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.15,
            "w": 0.45,
            "x": 0.28,
            "y": 0.7
          },
          "kind": "list",
          "text": "Natively Self-hosted: Aporia natively supports self-hosted, managed self-hosted and cloud deployments from day 1.",
          "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 16:17:23.927+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "e0c9cc91-ffe1-4984-a0c1-a5cb06540c45",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.15,
            "w": 0.2,
            "x": 0.05,
            "y": 0.05
          },
          "kind": "title",
          "text": "Why is It So Unique?",
          "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 16:17:23.927+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "2221605a-0f01-4d9e-8b4f-4ba69a663cd9",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [],
      "frameworks": [
        {
          "matchId": "c630f032-50d9-4eec-b7ca-feb278f911d1",
          "evidence": "The slide frames features around the 'Why' (user needs/pain points) and the 'What' (product solution).",
          "framework": null,
          "confidence": 0.8,
          "extraction": {
            "at": "2026-05-02 16:17:23.927+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 11,
          "frameworkName": "jobs-to-be-done"
        }
      ],
      "arcBeats": [],
      "loops": [],
      "locked": true
    },
    {
      "page": 12,
      "type": "setup",
      "function": "state_next_steps",
      "rawType": "closing_ask",
      "block": null,
      "metadata": {
        "slideType": "closing_ask",
        "slideTypeCanon": {
          "name": "Closing ask",
          "slug": "closing_ask",
          "status": "active",
          "canonId": "019de52d-0aa4-750f-8aa1-8d622dd99f5c",
          "version": 1,
          "description": null
        },
        "function": "state_next_steps",
        "functionCanon": {
          "name": "State next steps",
          "slug": "state_next_steps",
          "status": "active",
          "canonId": "019de52d-14ca-70ac-b534-971f458cdf29",
          "version": 1,
          "description": null
        },
        "density": "sparse",
        "densityScore": 10,
        "componentCount": 3,
        "textChars": 46,
        "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 16:17:23.68+00",
          "seconds": 2.416,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019dd923-5fec-763b-95d0-77ce4047819f/12",
        "deck": "/decks/019dd923-5fec-763b-95d0-77ce4047819f",
        "deckAnchor": "/decks/019dd923-5fec-763b-95d0-77ce4047819f#slide-12",
        "deckJson": "/decks/019dd923-5fec-763b-95d0-77ce4047819f.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.06,
            "w": 0.15,
            "x": 0.046,
            "y": 0.87
          },
          "kind": "image",
          "text": "aporia",
          "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 16:17:23.68+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "0e391890-2275-434d-b9ec-a744b482687d",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.095,
            "w": 0.215,
            "x": 0.046,
            "y": 0.455
          },
          "kind": "paragraph",
          "text": "For more info: info@aporia.com",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:17:23.68+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "e0bffe6b-87b6-4e3c-ad1b-37174df30754",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.095,
            "w": 0.265,
            "x": 0.046,
            "y": 0.235
          },
          "kind": "title",
          "text": "Thank You!",
          "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 16:17:23.68+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "b69de6fe-5954-49c7-8e1c-e53ecc4d960d",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [],
      "frameworks": [],
      "arcBeats": [],
      "loops": [],
      "locked": true
    }
  ],
  "arcBeats": [
    {
      "from": 3,
      "to": 7,
      "label": "Problem",
      "description": "Slides 3-7 focus on the problem of ML models failing in production"
    },
    {
      "from": 8,
      "to": 8,
      "label": "Agitate",
      "description": "Slide 8 highlights top priority pain points"
    },
    {
      "from": 10,
      "to": 10,
      "label": "Solution",
      "description": "Slide 10 presents Aporia's solution"
    }
  ],
  "loops": [
    {
      "from": 4,
      "to": 7,
      "label": "Cost Of Inaction",
      "description": "Why now?"
    }
  ]
}