{
  "kind": "all",
  "value": "all",
  "collectionKey": "slides:all:all:all-document-kinds:all-producers:all-orientations",
  "filters": {
    "documentKinds": [],
    "sourceTypes": [],
    "orientations": []
  },
  "total": 319975,
  "page": 1802,
  "pageSize": 30,
  "pageCount": 10666,
  "rows": [
    {
      "docId": "019dd923-5e88-73ef-bd5c-f812573a947a",
      "docSlug": "eea7524c557036f4",
      "documentTitle": "2020 Air Street Capital The State of AI Report 2020",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 163,
      "slideType": "industry_trends",
      "function": "quantify_impact",
      "notes": "The slide uses a bar chart to illustrate the growth in federal non-defense AI R&D spending.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-f812573a947a/163",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-f812573a947a",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-f812573a947a#slide-163",
      "loopMatches": [
        {
          "to": 167,
          "from": 161,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3d-3b9613c8b29e",
          "evidence": "Arm/NVIDIA, US budget, bipartisan act, China pilot zones, UK hawks, geographic map.",
          "position": 21,
          "objective": "Document AI nationalism by country (US/China/UK/+)",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 70,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 170,
          "from": 130,
          "beatId": "019dd95a-0682-776c-8e34-f2fc34acb214",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Implications (So What)",
          "beatSlug": "triple-take-the-implications-so-what",
          "evidence": "Politics section unpacks ethical, geopolitical and labor consequences.",
          "position": 2,
          "confidence": 60,
          "parentBeatName": "Reflection",
          "parentBeatSlug": "reflection"
        },
        {
          "to": 170,
          "from": 130,
          "beatId": "019dd95a-0682-776c-8e35-01ef1d0aee03",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Climax",
          "beatSlug": "mountain-climax",
          "evidence": "Politics section dramatises facial recognition, military, US/China conflicts.",
          "position": 3,
          "confidence": 40,
          "parentBeatName": "Turn",
          "parentBeatSlug": "turn"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-f812573a947a",
      "docSlug": "eea7524c557036f4",
      "documentTitle": "2020 Air Street Capital The State of AI Report 2020",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 164,
      "slideType": "industry_trends",
      "function": "establish_context",
      "notes": "Includes a photo of Chuck Schumer at a podium.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-f812573a947a/164",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-f812573a947a",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-f812573a947a#slide-164",
      "loopMatches": [
        {
          "to": 167,
          "from": 161,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3d-3b9613c8b29e",
          "evidence": "Arm/NVIDIA, US budget, bipartisan act, China pilot zones, UK hawks, geographic map.",
          "position": 21,
          "objective": "Document AI nationalism by country (US/China/UK/+)",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 70,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 170,
          "from": 130,
          "beatId": "019dd95a-0682-776c-8e34-f2fc34acb214",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Implications (So What)",
          "beatSlug": "triple-take-the-implications-so-what",
          "evidence": "Politics section unpacks ethical, geopolitical and labor consequences.",
          "position": 2,
          "confidence": 60,
          "parentBeatName": "Reflection",
          "parentBeatSlug": "reflection"
        },
        {
          "to": 170,
          "from": 130,
          "beatId": "019dd95a-0682-776c-8e35-01ef1d0aee03",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Climax",
          "beatSlug": "mountain-climax",
          "evidence": "Politics section dramatises facial recognition, military, US/China conflicts.",
          "position": 3,
          "confidence": 40,
          "parentBeatName": "Turn",
          "parentBeatSlug": "turn"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-f812573a947a",
      "docSlug": "eea7524c557036f4",
      "documentTitle": "2020 Air Street Capital The State of AI Report 2020",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 165,
      "slideType": "industry_trends",
      "function": "establish_context",
      "notes": "The slide highlights a specific government initiative in China to decentralize AI development.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-f812573a947a/165",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-f812573a947a",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-f812573a947a#slide-165",
      "loopMatches": [
        {
          "to": 167,
          "from": 161,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3d-3b9613c8b29e",
          "evidence": "Arm/NVIDIA, US budget, bipartisan act, China pilot zones, UK hawks, geographic map.",
          "position": 21,
          "objective": "Document AI nationalism by country (US/China/UK/+)",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 70,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 170,
          "from": 130,
          "beatId": "019dd95a-0682-776c-8e34-f2fc34acb214",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Implications (So What)",
          "beatSlug": "triple-take-the-implications-so-what",
          "evidence": "Politics section unpacks ethical, geopolitical and labor consequences.",
          "position": 2,
          "confidence": 60,
          "parentBeatName": "Reflection",
          "parentBeatSlug": "reflection"
        },
        {
          "to": 170,
          "from": 130,
          "beatId": "019dd95a-0682-776c-8e35-01ef1d0aee03",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Climax",
          "beatSlug": "mountain-climax",
          "evidence": "Politics section dramatises facial recognition, military, US/China conflicts.",
          "position": 3,
          "confidence": 40,
          "parentBeatName": "Turn",
          "parentBeatSlug": "turn"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-f812573a947a",
      "docSlug": "eea7524c557036f4",
      "documentTitle": "2020 Air Street Capital The State of AI Report 2020",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 166,
      "slideType": "industry_trends",
      "function": "establish_context",
      "notes": "Includes a cultural reference (Wolf Warrior movie poster) to illustrate the geopolitical context.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-f812573a947a/166",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-f812573a947a",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-f812573a947a#slide-166",
      "loopMatches": [
        {
          "to": 167,
          "from": 161,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3d-3b9613c8b29e",
          "evidence": "Arm/NVIDIA, US budget, bipartisan act, China pilot zones, UK hawks, geographic map.",
          "position": 21,
          "objective": "Document AI nationalism by country (US/China/UK/+)",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 70,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 170,
          "from": 130,
          "beatId": "019dd95a-0682-776c-8e34-f2fc34acb214",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Implications (So What)",
          "beatSlug": "triple-take-the-implications-so-what",
          "evidence": "Politics section unpacks ethical, geopolitical and labor consequences.",
          "position": 2,
          "confidence": 60,
          "parentBeatName": "Reflection",
          "parentBeatSlug": "reflection"
        },
        {
          "to": 170,
          "from": 130,
          "beatId": "019dd95a-0682-776c-8e35-01ef1d0aee03",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Climax",
          "beatSlug": "mountain-climax",
          "evidence": "Politics section dramatises facial recognition, military, US/China conflicts.",
          "position": 3,
          "confidence": 40,
          "parentBeatName": "Turn",
          "parentBeatSlug": "turn"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-f812573a947a",
      "docSlug": "eea7524c557036f4",
      "documentTitle": "2020 Air Street Capital The State of AI Report 2020",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 167,
      "slideType": "geographic_map",
      "function": "establish_context",
      "notes": "The map uses color-coding for strategy status (complete vs forthcoming) and dot colors for the focus of public transformation.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-f812573a947a/167",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-f812573a947a",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-f812573a947a#slide-167",
      "loopMatches": [
        {
          "to": 167,
          "from": 161,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3d-3b9613c8b29e",
          "evidence": "Arm/NVIDIA, US budget, bipartisan act, China pilot zones, UK hawks, geographic map.",
          "position": 21,
          "objective": "Document AI nationalism by country (US/China/UK/+)",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 70,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 170,
          "from": 130,
          "beatId": "019dd95a-0682-776c-8e34-f2fc34acb214",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Implications (So What)",
          "beatSlug": "triple-take-the-implications-so-what",
          "evidence": "Politics section unpacks ethical, geopolitical and labor consequences.",
          "position": 2,
          "confidence": 60,
          "parentBeatName": "Reflection",
          "parentBeatSlug": "reflection"
        },
        {
          "to": 170,
          "from": 130,
          "beatId": "019dd95a-0682-776c-8e35-01ef1d0aee03",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Climax",
          "beatSlug": "mountain-climax",
          "evidence": "Politics section dramatises facial recognition, military, US/China conflicts.",
          "position": 3,
          "confidence": 40,
          "parentBeatName": "Turn",
          "parentBeatSlug": "turn"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-f812573a947a",
      "docSlug": "eea7524c557036f4",
      "documentTitle": "2020 Air Street Capital The State of AI Report 2020",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 168,
      "slideType": "industry_trends",
      "function": "diagnose",
      "notes": "The chart shows a widening gap between labor tax rates and equipment/software tax rates over time.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-f812573a947a/168",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-f812573a947a",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-f812573a947a#slide-168",
      "loopMatches": [
        {
          "to": 170,
          "from": 168,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3d-3d1ca750c538",
          "evidence": "Tax-code automation incentive, jobs at risk, climate change call to action.",
          "position": 22,
          "objective": "Surface labor and climate implications of AI",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 60,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 170,
          "from": 130,
          "beatId": "019dd95a-0682-776c-8e34-f2fc34acb214",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Implications (So What)",
          "beatSlug": "triple-take-the-implications-so-what",
          "evidence": "Politics section unpacks ethical, geopolitical and labor consequences.",
          "position": 2,
          "confidence": 60,
          "parentBeatName": "Reflection",
          "parentBeatSlug": "reflection"
        },
        {
          "to": 170,
          "from": 130,
          "beatId": "019dd95a-0682-776c-8e35-01ef1d0aee03",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Climax",
          "beatSlug": "mountain-climax",
          "evidence": "Politics section dramatises facial recognition, military, US/China conflicts.",
          "position": 3,
          "confidence": 40,
          "parentBeatName": "Turn",
          "parentBeatSlug": "turn"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-f812573a947a",
      "docSlug": "eea7524c557036f4",
      "documentTitle": "2020 Air Street Capital The State of AI Report 2020",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 169,
      "slideType": "industry_trends",
      "function": "analyze_data",
      "notes": "The slide uses a series of stacked bar charts to visualize survey data from 1,872 enterprises regarding AI-induced workforce contraction.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-f812573a947a/169",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-f812573a947a",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-f812573a947a#slide-169",
      "loopMatches": [
        {
          "to": 170,
          "from": 168,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3d-3d1ca750c538",
          "evidence": "Tax-code automation incentive, jobs at risk, climate change call to action.",
          "position": 22,
          "objective": "Surface labor and climate implications of AI",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 60,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 170,
          "from": 130,
          "beatId": "019dd95a-0682-776c-8e34-f2fc34acb214",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Implications (So What)",
          "beatSlug": "triple-take-the-implications-so-what",
          "evidence": "Politics section unpacks ethical, geopolitical and labor consequences.",
          "position": 2,
          "confidence": 60,
          "parentBeatName": "Reflection",
          "parentBeatSlug": "reflection"
        },
        {
          "to": 170,
          "from": 130,
          "beatId": "019dd95a-0682-776c-8e35-01ef1d0aee03",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Climax",
          "beatSlug": "mountain-climax",
          "evidence": "Politics section dramatises facial recognition, military, US/China conflicts.",
          "position": 3,
          "confidence": 40,
          "parentBeatName": "Turn",
          "parentBeatSlug": "turn"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-f812573a947a",
      "docSlug": "eea7524c557036f4",
      "documentTitle": "2020 Air Street Capital The State of AI Report 2020",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 170,
      "slideType": "case_study",
      "function": "illustrate_case",
      "notes": "The slide highlights a specific academic/industry collaboration (Tackling Climate Change with Machine Learning).",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-f812573a947a/170",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-f812573a947a",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-f812573a947a#slide-170",
      "loopMatches": [
        {
          "to": 170,
          "from": 168,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3d-3d1ca750c538",
          "evidence": "Tax-code automation incentive, jobs at risk, climate change call to action.",
          "position": 22,
          "objective": "Surface labor and climate implications of AI",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 60,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 170,
          "from": 130,
          "beatId": "019dd95a-0682-776c-8e34-f2fc34acb214",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Implications (So What)",
          "beatSlug": "triple-take-the-implications-so-what",
          "evidence": "Politics section unpacks ethical, geopolitical and labor consequences.",
          "position": 2,
          "confidence": 60,
          "parentBeatName": "Reflection",
          "parentBeatSlug": "reflection"
        },
        {
          "to": 170,
          "from": 130,
          "beatId": "019dd95a-0682-776c-8e35-01ef1d0aee03",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Climax",
          "beatSlug": "mountain-climax",
          "evidence": "Politics section dramatises facial recognition, military, US/China conflicts.",
          "position": 3,
          "confidence": 40,
          "parentBeatName": "Turn",
          "parentBeatSlug": "turn"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-f812573a947a",
      "docSlug": "eea7524c557036f4",
      "documentTitle": "2020 Air Street Capital The State of AI Report 2020",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 171,
      "slideType": "section_divider",
      "function": "transition",
      "notes": null,
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-f812573a947a/171",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-f812573a947a",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-f812573a947a#slide-171",
      "loopMatches": [],
      "arcBeatMatches": [
        {
          "to": 174,
          "from": 171,
          "beatId": "019dd95a-0682-776c-8e34-f7c6d2e63d67",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Action (Now What)",
          "beatSlug": "triple-take-the-action-now-what",
          "evidence": "Predictions section + thanks slide call out next 12 months and feedback ask.",
          "position": 3,
          "confidence": 60,
          "parentBeatName": "Resolution",
          "parentBeatSlug": "resolution"
        },
        {
          "to": 177,
          "from": 171,
          "beatId": "019dd95a-0682-776c-8e35-06b1307be1cc",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Resolution",
          "beatSlug": "mountain-resolution",
          "evidence": "Predictions, conclusion and thanks close the report.",
          "position": 4,
          "confidence": 40,
          "parentBeatName": "Resolution",
          "parentBeatSlug": "resolution"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-f812573a947a",
      "docSlug": "eea7524c557036f4",
      "documentTitle": "2020 Air Street Capital The State of AI Report 2020",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 172,
      "slideType": "initiative_list",
      "function": "summarize",
      "notes": "The slide uses a numbered list format to present forward-looking statements.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-f812573a947a/172",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-f812573a947a",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-f812573a947a#slide-172",
      "loopMatches": [],
      "arcBeatMatches": [
        {
          "to": 174,
          "from": 171,
          "beatId": "019dd95a-0682-776c-8e34-f7c6d2e63d67",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Action (Now What)",
          "beatSlug": "triple-take-the-action-now-what",
          "evidence": "Predictions section + thanks slide call out next 12 months and feedback ask.",
          "position": 3,
          "confidence": 60,
          "parentBeatName": "Resolution",
          "parentBeatSlug": "resolution"
        },
        {
          "to": 177,
          "from": 171,
          "beatId": "019dd95a-0682-776c-8e35-06b1307be1cc",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Resolution",
          "beatSlug": "mountain-resolution",
          "evidence": "Predictions, conclusion and thanks close the report.",
          "position": 4,
          "confidence": 40,
          "parentBeatName": "Resolution",
          "parentBeatSlug": "resolution"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-f812573a947a",
      "docSlug": "eea7524c557036f4",
      "documentTitle": "2020 Air Street Capital The State of AI Report 2020",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 173,
      "slideType": "section_divider",
      "function": "transition",
      "notes": null,
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-f812573a947a/173",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-f812573a947a",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-f812573a947a#slide-173",
      "loopMatches": [],
      "arcBeatMatches": [
        {
          "to": 174,
          "from": 171,
          "beatId": "019dd95a-0682-776c-8e34-f7c6d2e63d67",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Action (Now What)",
          "beatSlug": "triple-take-the-action-now-what",
          "evidence": "Predictions section + thanks slide call out next 12 months and feedback ask.",
          "position": 3,
          "confidence": 60,
          "parentBeatName": "Resolution",
          "parentBeatSlug": "resolution"
        },
        {
          "to": 177,
          "from": 171,
          "beatId": "019dd95a-0682-776c-8e35-06b1307be1cc",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Resolution",
          "beatSlug": "mountain-resolution",
          "evidence": "Predictions, conclusion and thanks close the report.",
          "position": 4,
          "confidence": 40,
          "parentBeatName": "Resolution",
          "parentBeatSlug": "resolution"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-f812573a947a",
      "docSlug": "eea7524c557036f4",
      "documentTitle": "2020 Air Street Capital The State of AI Report 2020",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 174,
      "slideType": "closing_ask",
      "function": "summarize",
      "notes": null,
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-f812573a947a/174",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-f812573a947a",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-f812573a947a#slide-174",
      "loopMatches": [],
      "arcBeatMatches": [
        {
          "to": 174,
          "from": 171,
          "beatId": "019dd95a-0682-776c-8e34-f7c6d2e63d67",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Action (Now What)",
          "beatSlug": "triple-take-the-action-now-what",
          "evidence": "Predictions section + thanks slide call out next 12 months and feedback ask.",
          "position": 3,
          "confidence": 60,
          "parentBeatName": "Resolution",
          "parentBeatSlug": "resolution"
        },
        {
          "to": 177,
          "from": 171,
          "beatId": "019dd95a-0682-776c-8e35-06b1307be1cc",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Resolution",
          "beatSlug": "mountain-resolution",
          "evidence": "Predictions, conclusion and thanks close the report.",
          "position": 4,
          "confidence": 40,
          "parentBeatName": "Resolution",
          "parentBeatSlug": "resolution"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-f812573a947a",
      "docSlug": "eea7524c557036f4",
      "documentTitle": "2020 Air Street Capital The State of AI Report 2020",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 175,
      "slideType": "appendix_disclosure",
      "function": "other",
      "notes": null,
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-f812573a947a/175",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-f812573a947a",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-f812573a947a#slide-175",
      "loopMatches": [],
      "arcBeatMatches": [
        {
          "to": 177,
          "from": 171,
          "beatId": "019dd95a-0682-776c-8e35-06b1307be1cc",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Resolution",
          "beatSlug": "mountain-resolution",
          "evidence": "Predictions, conclusion and thanks close the report.",
          "position": 4,
          "confidence": 40,
          "parentBeatName": "Resolution",
          "parentBeatSlug": "resolution"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-f812573a947a",
      "docSlug": "eea7524c557036f4",
      "documentTitle": "2020 Air Street Capital The State of AI Report 2020",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 176,
      "slideType": "team_bio",
      "function": "other",
      "notes": null,
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-f812573a947a/176",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-f812573a947a",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-f812573a947a#slide-176",
      "loopMatches": [],
      "arcBeatMatches": [
        {
          "to": 177,
          "from": 171,
          "beatId": "019dd95a-0682-776c-8e35-06b1307be1cc",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Resolution",
          "beatSlug": "mountain-resolution",
          "evidence": "Predictions, conclusion and thanks close the report.",
          "position": 4,
          "confidence": 40,
          "parentBeatName": "Resolution",
          "parentBeatSlug": "resolution"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-f812573a947a",
      "docSlug": "eea7524c557036f4",
      "documentTitle": "2020 Air Street Capital The State of AI Report 2020",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 177,
      "slideType": "cover",
      "function": "front_matter",
      "notes": null,
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-f812573a947a/177",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-f812573a947a",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-f812573a947a#slide-177",
      "loopMatches": [],
      "arcBeatMatches": [
        {
          "to": 177,
          "from": 171,
          "beatId": "019dd95a-0682-776c-8e35-06b1307be1cc",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Resolution",
          "beatSlug": "mountain-resolution",
          "evidence": "Predictions, conclusion and thanks close the report.",
          "position": 4,
          "confidence": 40,
          "parentBeatName": "Resolution",
          "parentBeatSlug": "resolution"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "docSlug": "bf350dd574c19997",
      "documentTitle": "2021 Air Street Capital The State of AI Report 2021",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 1,
      "slideType": "cover",
      "function": "front_matter",
      "notes": null,
      "imagePath": "https://imgproxy.kitesheet.com/zmLd-38KZ3fOkwrHirwwX2pXKCh9L7ZN7FXoFHDs5uY/rs:fit:1200:1200:0/q:82/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy9iZjM1MGRkNTc0YzE5OTk3L3AwMDEuanBn",
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-fd5012384ae3/1",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3#slide-1",
      "loopMatches": [],
      "arcBeatMatches": [
        {
          "to": 9,
          "from": 1,
          "beatId": "019dd95a-0682-776c-8e35-162ddcd1ce5a",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Setup & Stakes",
          "beatSlug": "mountain-setup-stakes",
          "evidence": "Cover, agenda, definitions, exec summary, scorecard establishing context.",
          "position": 1,
          "confidence": 55,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        }
      ],
      "imagePathAlt": "https://imgproxy.kitesheet.com/Yg2nb8SIjtVhaU6u5GihxxxD0F2xG-09Q3P4_BmVG-0/rs:fit:1200:1200:0/q:82/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy9iZjM1MGRkNTc0YzE5OTk3L3AwMDEucG5n",
      "thumbSrc": "https://imgproxy.kitesheet.com/AOBGdny9Xm8uVf_KltyitjJ20yXgmh9bhylxS88Arpg/rs:fit:480:480:0/q:78/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy9iZjM1MGRkNTc0YzE5OTk3L3AwMDEuanBn",
      "thumbSrcAlt": "https://imgproxy.kitesheet.com/KhppBauMO9YNHTavcbo1qNUbFqh--52PZ3b3ybmRY-o/rs:fit:480:480:0/q:78/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy9iZjM1MGRkNTc0YzE5OTk3L3AwMDEucG5n"
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "docSlug": "bf350dd574c19997",
      "documentTitle": "2021 Air Street Capital The State of AI Report 2021",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 2,
      "slideType": "team_bio",
      "function": "other",
      "notes": null,
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-fd5012384ae3/2",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3#slide-2",
      "loopMatches": [],
      "arcBeatMatches": [
        {
          "to": 9,
          "from": 1,
          "beatId": "019dd95a-0682-776c-8e35-162ddcd1ce5a",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Setup & Stakes",
          "beatSlug": "mountain-setup-stakes",
          "evidence": "Cover, agenda, definitions, exec summary, scorecard establishing context.",
          "position": 1,
          "confidence": 55,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "docSlug": "bf350dd574c19997",
      "documentTitle": "2021 Air Street Capital The State of AI Report 2021",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 3,
      "slideType": "agenda",
      "function": "establish_context",
      "notes": "The slide serves as an introduction and table of contents for the report structure.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-fd5012384ae3/3",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3#slide-3",
      "loopMatches": [],
      "arcBeatMatches": [
        {
          "to": 9,
          "from": 1,
          "beatId": "019dd95a-0682-776c-8e35-162ddcd1ce5a",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Setup & Stakes",
          "beatSlug": "mountain-setup-stakes",
          "evidence": "Cover, agenda, definitions, exec summary, scorecard establishing context.",
          "position": 1,
          "confidence": 55,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "docSlug": "bf350dd574c19997",
      "documentTitle": "2021 Air Street Capital The State of AI Report 2021",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 4,
      "slideType": "team_bio",
      "function": "other",
      "notes": "Includes a logo grid of contributing organizations and a list of individual reviewers.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-fd5012384ae3/4",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3#slide-4",
      "loopMatches": [],
      "arcBeatMatches": [
        {
          "to": 9,
          "from": 1,
          "beatId": "019dd95a-0682-776c-8e35-162ddcd1ce5a",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Setup & Stakes",
          "beatSlug": "mountain-setup-stakes",
          "evidence": "Cover, agenda, definitions, exec summary, scorecard establishing context.",
          "position": 1,
          "confidence": 55,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "docSlug": "bf350dd574c19997",
      "documentTitle": "2021 Air Street Capital The State of AI Report 2021",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 5,
      "slideType": "other",
      "function": "establish_context",
      "notes": "This slide provides foundational definitions for the rest of the report.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-fd5012384ae3/5",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3#slide-5",
      "loopMatches": [],
      "arcBeatMatches": [
        {
          "to": 152,
          "from": 5,
          "beatId": "019dd95a-0682-776c-8e35-0affbadec38e",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Definitions p.5-6, Exec Summary p.7, then Sections 1-3 catalog evidence.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 9,
          "from": 1,
          "beatId": "019dd95a-0682-776c-8e35-162ddcd1ce5a",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Setup & Stakes",
          "beatSlug": "mountain-setup-stakes",
          "evidence": "Cover, agenda, definitions, exec summary, scorecard establishing context.",
          "position": 1,
          "confidence": 55,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "docSlug": "bf350dd574c19997",
      "documentTitle": "2021 Air Street Capital The State of AI Report 2021",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 6,
      "slideType": "appendix",
      "function": "establish_context",
      "notes": "Part of the 'State of AI' report series.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-fd5012384ae3/6",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3#slide-6",
      "loopMatches": [],
      "arcBeatMatches": [
        {
          "to": 152,
          "from": 5,
          "beatId": "019dd95a-0682-776c-8e35-0affbadec38e",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Definitions p.5-6, Exec Summary p.7, then Sections 1-3 catalog evidence.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 9,
          "from": 1,
          "beatId": "019dd95a-0682-776c-8e35-162ddcd1ce5a",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Setup & Stakes",
          "beatSlug": "mountain-setup-stakes",
          "evidence": "Cover, agenda, definitions, exec summary, scorecard establishing context.",
          "position": 1,
          "confidence": 55,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "docSlug": "bf350dd574c19997",
      "documentTitle": "2021 Air Street Capital The State of AI Report 2021",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 7,
      "slideType": "executive_summary",
      "function": "summarize",
      "notes": "The slide uses a structured list format to categorize key findings across four pillars.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-fd5012384ae3/7",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3#slide-7",
      "loopMatches": [],
      "arcBeatMatches": [
        {
          "to": 152,
          "from": 5,
          "beatId": "019dd95a-0682-776c-8e35-0affbadec38e",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Definitions p.5-6, Exec Summary p.7, then Sections 1-3 catalog evidence.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 9,
          "from": 1,
          "beatId": "019dd95a-0682-776c-8e35-162ddcd1ce5a",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Setup & Stakes",
          "beatSlug": "mountain-setup-stakes",
          "evidence": "Cover, agenda, definitions, exec summary, scorecard establishing context.",
          "position": 1,
          "confidence": 55,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "docSlug": "bf350dd574c19997",
      "documentTitle": "2021 Air Street Capital The State of AI Report 2021",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 8,
      "slideType": "section_divider",
      "function": "transition",
      "notes": null,
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-fd5012384ae3/8",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3#slide-8",
      "loopMatches": [
        {
          "to": 9,
          "from": 8,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3d-408c5139d579",
          "evidence": "Scorecard table grades each prior prediction Yes/Sort of/No — explicit callback + payoff.",
          "position": 1,
          "objective": "Score the team's 2020 predictions",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 80,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 152,
          "from": 5,
          "beatId": "019dd95a-0682-776c-8e35-0affbadec38e",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Definitions p.5-6, Exec Summary p.7, then Sections 1-3 catalog evidence.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 9,
          "from": 1,
          "beatId": "019dd95a-0682-776c-8e35-162ddcd1ce5a",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Setup & Stakes",
          "beatSlug": "mountain-setup-stakes",
          "evidence": "Cover, agenda, definitions, exec summary, scorecard establishing context.",
          "position": 1,
          "confidence": 55,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "docSlug": "bf350dd574c19997",
      "documentTitle": "2021 Air Street Capital The State of AI Report 2021",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 9,
      "slideType": "comparison_table",
      "function": "summarize",
      "notes": "The slide acts as a retrospective review of predictions made in the previous year's report.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-fd5012384ae3/9",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3#slide-9",
      "loopMatches": [
        {
          "to": 9,
          "from": 8,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3d-408c5139d579",
          "evidence": "Scorecard table grades each prior prediction Yes/Sort of/No — explicit callback + payoff.",
          "position": 1,
          "objective": "Score the team's 2020 predictions",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 80,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 152,
          "from": 5,
          "beatId": "019dd95a-0682-776c-8e35-0affbadec38e",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Definitions p.5-6, Exec Summary p.7, then Sections 1-3 catalog evidence.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 9,
          "from": 1,
          "beatId": "019dd95a-0682-776c-8e35-162ddcd1ce5a",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Setup & Stakes",
          "beatSlug": "mountain-setup-stakes",
          "evidence": "Cover, agenda, definitions, exec summary, scorecard establishing context.",
          "position": 1,
          "confidence": 55,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "docSlug": "bf350dd574c19997",
      "documentTitle": "2021 Air Street Capital The State of AI Report 2021",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 10,
      "slideType": "section_divider",
      "function": "transition",
      "notes": null,
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-fd5012384ae3/10",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3#slide-10",
      "loopMatches": [],
      "arcBeatMatches": [
        {
          "to": 152,
          "from": 5,
          "beatId": "019dd95a-0682-776c-8e35-0affbadec38e",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Definitions p.5-6, Exec Summary p.7, then Sections 1-3 catalog evidence.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 152,
          "from": 10,
          "beatId": "019dd95a-0682-776c-8e35-1b3ee3a1c012",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Three sections accumulating evidence of accelerating progress.",
          "position": 2,
          "confidence": 55,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "docSlug": "bf350dd574c19997",
      "documentTitle": "2021 Air Street Capital The State of AI Report 2021",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 11,
      "slideType": "case_study",
      "function": "illustrate_case",
      "notes": "Includes technical diagrams of the ViT architecture and a performance chart showing ImageNet accuracy over fine-tuning steps.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-fd5012384ae3/11",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3#slide-11",
      "loopMatches": [
        {
          "to": 18,
          "from": 11,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3d-45052222b756",
          "evidence": "Multiple evidence slides (vision, audio, 3D, MLPs comeback) all converging on transformer dominance.",
          "position": 2,
          "objective": "Show transformers spreading across AI domains",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 82,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 152,
          "from": 5,
          "beatId": "019dd95a-0682-776c-8e35-0affbadec38e",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Definitions p.5-6, Exec Summary p.7, then Sections 1-3 catalog evidence.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 152,
          "from": 10,
          "beatId": "019dd95a-0682-776c-8e35-1b3ee3a1c012",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Three sections accumulating evidence of accelerating progress.",
          "position": 2,
          "confidence": 55,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "docSlug": "bf350dd574c19997",
      "documentTitle": "2021 Air Street Capital The State of AI Report 2021",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 12,
      "slideType": "industry_trends",
      "function": "summarize",
      "notes": "Includes a line chart comparing model performance, a table of COCO detection results, and conceptual diagrams for RegNet and SwAV.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-fd5012384ae3/12",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3#slide-12",
      "loopMatches": [
        {
          "to": 18,
          "from": 11,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3d-45052222b756",
          "evidence": "Multiple evidence slides (vision, audio, 3D, MLPs comeback) all converging on transformer dominance.",
          "position": 2,
          "objective": "Show transformers spreading across AI domains",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 82,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 152,
          "from": 5,
          "beatId": "019dd95a-0682-776c-8e35-0affbadec38e",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Definitions p.5-6, Exec Summary p.7, then Sections 1-3 catalog evidence.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 152,
          "from": 10,
          "beatId": "019dd95a-0682-776c-8e35-1b3ee3a1c012",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Three sections accumulating evidence of accelerating progress.",
          "position": 2,
          "confidence": 55,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "docSlug": "bf350dd574c19997",
      "documentTitle": "2021 Air Street Capital The State of AI Report 2021",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 13,
      "slideType": "case_study",
      "function": "illustrate_case",
      "notes": "The slide showcases visual evidence of unsupervised object segmentation via attention maps.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-fd5012384ae3/13",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3#slide-13",
      "loopMatches": [
        {
          "to": 18,
          "from": 11,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3d-45052222b756",
          "evidence": "Multiple evidence slides (vision, audio, 3D, MLPs comeback) all converging on transformer dominance.",
          "position": 2,
          "objective": "Show transformers spreading across AI domains",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 82,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 152,
          "from": 5,
          "beatId": "019dd95a-0682-776c-8e35-0affbadec38e",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Definitions p.5-6, Exec Summary p.7, then Sections 1-3 catalog evidence.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 152,
          "from": 10,
          "beatId": "019dd95a-0682-776c-8e35-1b3ee3a1c012",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Three sections accumulating evidence of accelerating progress.",
          "position": 2,
          "confidence": 55,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "docSlug": "bf350dd574c19997",
      "documentTitle": "2021 Air Street Capital The State of AI Report 2021",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 14,
      "slideType": "industry_trends",
      "function": "summarize",
      "notes": "The slide uses two line charts to show the reduction in Word Error Rate (WER) over time for speech recognition and visual examples of 3D point cloud tasks.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-fd5012384ae3/14",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3#slide-14",
      "loopMatches": [
        {
          "to": 18,
          "from": 11,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3d-45052222b756",
          "evidence": "Multiple evidence slides (vision, audio, 3D, MLPs comeback) all converging on transformer dominance.",
          "position": 2,
          "objective": "Show transformers spreading across AI domains",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 82,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 152,
          "from": 5,
          "beatId": "019dd95a-0682-776c-8e35-0affbadec38e",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Definitions p.5-6, Exec Summary p.7, then Sections 1-3 catalog evidence.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 152,
          "from": 10,
          "beatId": "019dd95a-0682-776c-8e35-1b3ee3a1c012",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Three sections accumulating evidence of accelerating progress.",
          "position": 2,
          "confidence": 55,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "docSlug": "bf350dd574c19997",
      "documentTitle": "2021 Air Street Capital The State of AI Report 2021",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 15,
      "slideType": "industry_trends",
      "function": "present_solution",
      "notes": "Includes a technical diagram of the Perceiver architecture and a performance comparison table against BERT on the GLUE benchmark.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-fd5012384ae3/15",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3#slide-15",
      "loopMatches": [
        {
          "to": 18,
          "from": 11,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3d-45052222b756",
          "evidence": "Multiple evidence slides (vision, audio, 3D, MLPs comeback) all converging on transformer dominance.",
          "position": 2,
          "objective": "Show transformers spreading across AI domains",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 82,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 152,
          "from": 5,
          "beatId": "019dd95a-0682-776c-8e35-0affbadec38e",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Definitions p.5-6, Exec Summary p.7, then Sections 1-3 catalog evidence.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 152,
          "from": 10,
          "beatId": "019dd95a-0682-776c-8e35-1b3ee3a1c012",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Three sections accumulating evidence of accelerating progress.",
          "position": 2,
          "confidence": 55,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    }
  ]
}