{
  "kind": "all",
  "value": "all",
  "collectionKey": "slides:all:all:all-document-kinds:all-producers:all-orientations",
  "filters": {
    "documentKinds": [],
    "sourceTypes": [],
    "orientations": []
  },
  "total": 319975,
  "page": 1835,
  "pageSize": 30,
  "pageCount": 10666,
  "rows": [
    {
      "docId": "019dd923-5e88-73ef-bd5d-11ca0e4babc6",
      "docSlug": "341e745702a30aa1",
      "documentTitle": "2024 Executive Perspectives AI Powered R D",
      "authorId": "BCG",
      "authorName": "BCG",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.778,
      "pageNumber": 1,
      "slideType": "section_divider",
      "function": "transition",
      "notes": null,
      "imagePath": "https://imgproxy.kitesheet.com/bkhuVEFN8A4dvTiiGXyQSnRH29SqKVZpE5u9diX8EMk/rs:fit:1200:1200:0/q:82/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy8zNDFlNzQ1NzAyYTMwYWExL3AwMDEuanBn",
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-11ca0e4babc6/1",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-11ca0e4babc6",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-11ca0e4babc6#slide-1",
      "loopMatches": [],
      "arcBeatMatches": [
        {
          "to": 6,
          "from": 1,
          "beatId": "019dd95a-0682-776c-8e38-52cf16e042e7",
          "arcName": "The Consultant's Gambit",
          "arcSlug": "consultants-gambit",
          "beatName": "Situation & Context",
          "beatSlug": "consultants-gambit-situation-context",
          "evidence": "Intro, R&D as backbone, AI capability framing (p1-6)",
          "position": 1,
          "confidence": 75,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 8,
          "from": 1,
          "beatId": "019dd95a-0682-776c-8e38-6636536cc2cb",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "R&D context + AI capabilities + industry evidence",
          "position": 1,
          "confidence": 60,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        }
      ],
      "imagePathAlt": "https://imgproxy.kitesheet.com/qTqgJvnMCZQax4-2IY9czD4juPG4PaZ3ApdAIWN7hso/rs:fit:1200:1200:0/q:82/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy8zNDFlNzQ1NzAyYTMwYWExL3AwMDEucG5n",
      "thumbSrc": "https://imgproxy.kitesheet.com/lpsMH09soboEnSMY8DSw8U7ahF1Tcz_z-jwlZUcpIgA/rs:fit:480:480:0/q:78/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy8zNDFlNzQ1NzAyYTMwYWExL3AwMDEuanBn",
      "thumbSrcAlt": "https://imgproxy.kitesheet.com/MArdB7ru-aMy7K3zc8RMCZagvzjidGzopCiknyew0gc/rs:fit:480:480:0/q:78/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy8zNDFlNzQ1NzAyYTMwYWExL3AwMDEucG5n"
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-11ca0e4babc6",
      "docSlug": "341e745702a30aa1",
      "documentTitle": "2024 Executive Perspectives AI Powered R D",
      "authorId": "BCG",
      "authorName": "BCG",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.778,
      "pageNumber": 2,
      "slideType": "executive_summary",
      "function": "front_matter",
      "notes": "The slide serves as a preface or executive summary for a report on AI in R&D.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-11ca0e4babc6/2",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-11ca0e4babc6",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-11ca0e4babc6#slide-2",
      "loopMatches": [],
      "arcBeatMatches": [
        {
          "to": 6,
          "from": 1,
          "beatId": "019dd95a-0682-776c-8e38-52cf16e042e7",
          "arcName": "The Consultant's Gambit",
          "arcSlug": "consultants-gambit",
          "beatName": "Situation & Context",
          "beatSlug": "consultants-gambit-situation-context",
          "evidence": "Intro, R&D as backbone, AI capability framing (p1-6)",
          "position": 1,
          "confidence": 75,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 8,
          "from": 1,
          "beatId": "019dd95a-0682-776c-8e38-6636536cc2cb",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "R&D context + AI capabilities + industry evidence",
          "position": 1,
          "confidence": 60,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-11ca0e4babc6",
      "docSlug": "341e745702a30aa1",
      "documentTitle": "2024 Executive Perspectives AI Powered R D",
      "authorId": "BCG",
      "authorName": "BCG",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.778,
      "pageNumber": 3,
      "slideType": "executive_summary",
      "function": "summarize",
      "notes": null,
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-11ca0e4babc6/3",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-11ca0e4babc6",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-11ca0e4babc6#slide-3",
      "loopMatches": [],
      "arcBeatMatches": [
        {
          "to": 6,
          "from": 1,
          "beatId": "019dd95a-0682-776c-8e38-52cf16e042e7",
          "arcName": "The Consultant's Gambit",
          "arcSlug": "consultants-gambit",
          "beatName": "Situation & Context",
          "beatSlug": "consultants-gambit-situation-context",
          "evidence": "Intro, R&D as backbone, AI capability framing (p1-6)",
          "position": 1,
          "confidence": 75,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 8,
          "from": 1,
          "beatId": "019dd95a-0682-776c-8e38-6636536cc2cb",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "R&D context + AI capabilities + industry evidence",
          "position": 1,
          "confidence": 60,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-11ca0e4babc6",
      "docSlug": "341e745702a30aa1",
      "documentTitle": "2024 Executive Perspectives AI Powered R D",
      "authorId": "BCG",
      "authorName": "BCG",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.778,
      "pageNumber": 4,
      "slideType": "comparison_table",
      "function": "compare_options",
      "notes": "Uses a 'From-To' framework to illustrate strategic evolution.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-11ca0e4babc6/4",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-11ca0e4babc6",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-11ca0e4babc6#slide-4",
      "loopMatches": [
        {
          "to": 6,
          "from": 4,
          "name": "Golden Circle",
          "slug": "11-golden-circle",
          "bestFor": "Visionary leadership, brand positioning, mission statements",
          "matchId": "019dd95a-07fe-70ce-8d40-6a074be3c9d0",
          "evidence": "p4 R&D as value engine (Why), p5 AI reframes design (How), p6 AI agents (What)",
          "position": 1,
          "objective": "Frame WHY R&D matters, HOW AI reshapes it, WHAT agents do",
          "structure": "The Why (Belief) -> The How (Process) -> The What (Result)",
          "confidence": 60,
          "description": "Invert the typical pitch by starting with why you exist, rather than what you do"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 6,
          "from": 1,
          "beatId": "019dd95a-0682-776c-8e38-52cf16e042e7",
          "arcName": "The Consultant's Gambit",
          "arcSlug": "consultants-gambit",
          "beatName": "Situation & Context",
          "beatSlug": "consultants-gambit-situation-context",
          "evidence": "Intro, R&D as backbone, AI capability framing (p1-6)",
          "position": 1,
          "confidence": 75,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 8,
          "from": 1,
          "beatId": "019dd95a-0682-776c-8e38-6636536cc2cb",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "R&D context + AI capabilities + industry evidence",
          "position": 1,
          "confidence": 60,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-11ca0e4babc6",
      "docSlug": "341e745702a30aa1",
      "documentTitle": "2024 Executive Perspectives AI Powered R D",
      "authorId": "BCG",
      "authorName": "BCG",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.778,
      "pageNumber": 5,
      "slideType": "key_takeaways",
      "function": "present_solution",
      "notes": "The radar chart uses a 5-axis model (End-user needs, Manufacturing scalability, Sustainability, Profitability, Intermediary needs).",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-11ca0e4babc6/5",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-11ca0e4babc6",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-11ca0e4babc6#slide-5",
      "loopMatches": [
        {
          "to": 6,
          "from": 4,
          "name": "Golden Circle",
          "slug": "11-golden-circle",
          "bestFor": "Visionary leadership, brand positioning, mission statements",
          "matchId": "019dd95a-07fe-70ce-8d40-6a074be3c9d0",
          "evidence": "p4 R&D as value engine (Why), p5 AI reframes design (How), p6 AI agents (What)",
          "position": 1,
          "objective": "Frame WHY R&D matters, HOW AI reshapes it, WHAT agents do",
          "structure": "The Why (Belief) -> The How (Process) -> The What (Result)",
          "confidence": 60,
          "description": "Invert the typical pitch by starting with why you exist, rather than what you do"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 6,
          "from": 1,
          "beatId": "019dd95a-0682-776c-8e38-52cf16e042e7",
          "arcName": "The Consultant's Gambit",
          "arcSlug": "consultants-gambit",
          "beatName": "Situation & Context",
          "beatSlug": "consultants-gambit-situation-context",
          "evidence": "Intro, R&D as backbone, AI capability framing (p1-6)",
          "position": 1,
          "confidence": 75,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 8,
          "from": 1,
          "beatId": "019dd95a-0682-776c-8e38-6636536cc2cb",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "R&D context + AI capabilities + industry evidence",
          "position": 1,
          "confidence": 60,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-11ca0e4babc6",
      "docSlug": "341e745702a30aa1",
      "documentTitle": "2024 Executive Perspectives AI Powered R D",
      "authorId": "BCG",
      "authorName": "BCG",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.778,
      "pageNumber": 6,
      "slideType": "other",
      "function": "present_framework",
      "notes": "The diagram uses a hub-and-spoke model with a central brain icon representing AI, surrounded by six functional areas.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-11ca0e4babc6/6",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-11ca0e4babc6",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-11ca0e4babc6#slide-6",
      "loopMatches": [
        {
          "to": 6,
          "from": 4,
          "name": "Golden Circle",
          "slug": "11-golden-circle",
          "bestFor": "Visionary leadership, brand positioning, mission statements",
          "matchId": "019dd95a-07fe-70ce-8d40-6a074be3c9d0",
          "evidence": "p4 R&D as value engine (Why), p5 AI reframes design (How), p6 AI agents (What)",
          "position": 1,
          "objective": "Frame WHY R&D matters, HOW AI reshapes it, WHAT agents do",
          "structure": "The Why (Belief) -> The How (Process) -> The What (Result)",
          "confidence": 60,
          "description": "Invert the typical pitch by starting with why you exist, rather than what you do"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 6,
          "from": 1,
          "beatId": "019dd95a-0682-776c-8e38-52cf16e042e7",
          "arcName": "The Consultant's Gambit",
          "arcSlug": "consultants-gambit",
          "beatName": "Situation & Context",
          "beatSlug": "consultants-gambit-situation-context",
          "evidence": "Intro, R&D as backbone, AI capability framing (p1-6)",
          "position": 1,
          "confidence": 75,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 8,
          "from": 1,
          "beatId": "019dd95a-0682-776c-8e38-6636536cc2cb",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "R&D context + AI capabilities + industry evidence",
          "position": 1,
          "confidence": 60,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-11ca0e4babc6",
      "docSlug": "341e745702a30aa1",
      "documentTitle": "2024 Executive Perspectives AI Powered R D",
      "authorId": "BCG",
      "authorName": "BCG",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.778,
      "pageNumber": 7,
      "slideType": "client_example",
      "function": "illustrate_case",
      "notes": "The slide uses a process-oriented layout to categorize AI applications in R&D.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-11ca0e4babc6/7",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-11ca0e4babc6",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-11ca0e4babc6#slide-7",
      "loopMatches": [
        {
          "to": 8,
          "from": 7,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d40-6ecdab58f83b",
          "evidence": "Multiple sector cases (biopharma, auto, industrial, CPG) with KPI deltas converging on AI = impact",
          "position": 2,
          "objective": "Aggregate cross-industry evidence to prove AI in R&D works",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 85,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 8,
          "from": 7,
          "beatId": "019dd95a-0682-776c-8e38-5ea0430c90e9",
          "arcName": "The Consultant's Gambit",
          "arcSlug": "consultants-gambit",
          "beatName": "Evidence & Proof",
          "beatSlug": "consultants-gambit-evidence-proof",
          "evidence": "Cross-industry case studies with specific KPI gains",
          "position": 4,
          "confidence": 75,
          "parentBeatName": "Evidence",
          "parentBeatSlug": "evidence"
        },
        {
          "to": 8,
          "from": 1,
          "beatId": "019dd95a-0682-776c-8e38-6636536cc2cb",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "R&D context + AI capabilities + industry evidence",
          "position": 1,
          "confidence": 60,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-11ca0e4babc6",
      "docSlug": "341e745702a30aa1",
      "documentTitle": "2024 Executive Perspectives AI Powered R D",
      "authorId": "BCG",
      "authorName": "BCG",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.778,
      "pageNumber": 8,
      "slideType": "client_example",
      "function": "illustrate_case",
      "notes": "The slide uses a three-column layout to present distinct use cases, each with a problem description and a set of outcome metrics.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-11ca0e4babc6/8",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-11ca0e4babc6",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-11ca0e4babc6#slide-8",
      "loopMatches": [
        {
          "to": 8,
          "from": 7,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d40-6ecdab58f83b",
          "evidence": "Multiple sector cases (biopharma, auto, industrial, CPG) with KPI deltas converging on AI = impact",
          "position": 2,
          "objective": "Aggregate cross-industry evidence to prove AI in R&D works",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 85,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 8,
          "from": 7,
          "beatId": "019dd95a-0682-776c-8e38-5ea0430c90e9",
          "arcName": "The Consultant's Gambit",
          "arcSlug": "consultants-gambit",
          "beatName": "Evidence & Proof",
          "beatSlug": "consultants-gambit-evidence-proof",
          "evidence": "Cross-industry case studies with specific KPI gains",
          "position": 4,
          "confidence": 75,
          "parentBeatName": "Evidence",
          "parentBeatSlug": "evidence"
        },
        {
          "to": 8,
          "from": 1,
          "beatId": "019dd95a-0682-776c-8e38-6636536cc2cb",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "R&D context + AI capabilities + industry evidence",
          "position": 1,
          "confidence": 60,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-11ca0e4babc6",
      "docSlug": "341e745702a30aa1",
      "documentTitle": "2024 Executive Perspectives AI Powered R D",
      "authorId": "BCG",
      "authorName": "BCG",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.778,
      "pageNumber": 9,
      "slideType": "diagnosis",
      "function": "quantify_impact",
      "notes": "Uses a vertical process flow to show progression from individual to company-level benefits.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-11ca0e4babc6/9",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-11ca0e4babc6",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-11ca0e4babc6#slide-9",
      "loopMatches": [
        {
          "to": 10,
          "from": 9,
          "name": "Ripple Effect",
          "slug": "26-ripple-effect",
          "bestFor": "Change management, scaling initiatives, demonstrating broad value",
          "matchId": "019dd95a-07fe-70ce-8d40-73de85dd69e6",
          "evidence": "Explicit 3-level visual: At individual / At team / At company level with cascading impact callout",
          "position": 3,
          "objective": "Show value scaling from individual to team to company",
          "structure": "Individual Impact -> Team Impact -> Organizational Impact -> Market/Industry Impact",
          "confidence": 90,
          "description": "Show how impact spreads from individual to team to organization to market"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 10,
          "from": 9,
          "beatId": "019dd95a-0682-776c-8e38-55afe717dc18",
          "arcName": "The Consultant's Gambit",
          "arcSlug": "consultants-gambit",
          "beatName": "Problem & Complication",
          "beatSlug": "consultants-gambit-problem-complication",
          "evidence": "Operating model needs rewiring; benefits trapped at individual level",
          "position": 2,
          "confidence": 75,
          "parentBeatName": "Complication",
          "parentBeatSlug": "complication"
        },
        {
          "to": 10,
          "from": 9,
          "beatId": "019dd95a-0682-776c-8e38-6b1c6d49bde6",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Implications (So What)",
          "beatSlug": "triple-take-the-implications-so-what",
          "evidence": "Operating model must change to capture value",
          "position": 2,
          "confidence": 60,
          "parentBeatName": "Reflection",
          "parentBeatSlug": "reflection"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-11ca0e4babc6",
      "docSlug": "341e745702a30aa1",
      "documentTitle": "2024 Executive Perspectives AI Powered R D",
      "authorId": "BCG",
      "authorName": "BCG",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.778,
      "pageNumber": 10,
      "slideType": "key_messages",
      "function": "present_framework",
      "notes": "Uses a Venn diagram to show the intersection of AI and Agile.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-11ca0e4babc6/10",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-11ca0e4babc6",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-11ca0e4babc6#slide-10",
      "loopMatches": [
        {
          "to": 10,
          "from": 9,
          "name": "Ripple Effect",
          "slug": "26-ripple-effect",
          "bestFor": "Change management, scaling initiatives, demonstrating broad value",
          "matchId": "019dd95a-07fe-70ce-8d40-73de85dd69e6",
          "evidence": "Explicit 3-level visual: At individual / At team / At company level with cascading impact callout",
          "position": 3,
          "objective": "Show value scaling from individual to team to company",
          "structure": "Individual Impact -> Team Impact -> Organizational Impact -> Market/Industry Impact",
          "confidence": 90,
          "description": "Show how impact spreads from individual to team to organization to market"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 10,
          "from": 9,
          "beatId": "019dd95a-0682-776c-8e38-55afe717dc18",
          "arcName": "The Consultant's Gambit",
          "arcSlug": "consultants-gambit",
          "beatName": "Problem & Complication",
          "beatSlug": "consultants-gambit-problem-complication",
          "evidence": "Operating model needs rewiring; benefits trapped at individual level",
          "position": 2,
          "confidence": 75,
          "parentBeatName": "Complication",
          "parentBeatSlug": "complication"
        },
        {
          "to": 10,
          "from": 9,
          "beatId": "019dd95a-0682-776c-8e38-6b1c6d49bde6",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Implications (So What)",
          "beatSlug": "triple-take-the-implications-so-what",
          "evidence": "Operating model must change to capture value",
          "position": 2,
          "confidence": 60,
          "parentBeatName": "Reflection",
          "parentBeatSlug": "reflection"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-11ca0e4babc6",
      "docSlug": "341e745702a30aa1",
      "documentTitle": "2024 Executive Perspectives AI Powered R D",
      "authorId": "BCG",
      "authorName": "BCG",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.778,
      "pageNumber": 11,
      "slideType": "initiative_list",
      "function": "present_solution",
      "notes": null,
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-11ca0e4babc6/11",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-11ca0e4babc6",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-11ca0e4babc6#slide-11",
      "loopMatches": [
        {
          "to": 20,
          "from": 11,
          "name": "Mece Breakdown",
          "slug": "40-mece-breakdown",
          "bestFor": "Problem structuring, ensuring completeness, strategic analysis",
          "matchId": "019dd95a-07fe-70ce-8d40-77e7cae1c91c",
          "evidence": "p11 lists 5 pillars; p12-13 process, p14-16 agents, p17-18 data, p19 IP, p20 talent",
          "position": 4,
          "objective": "Decompose AI integration into 5 distinct, exhaustive pillars",
          "structure": "The Whole -> Category A (distinct) -> Category B (distinct) -> Category C (distinct) -> Complete Coverage",
          "confidence": 85,
          "description": "Divide a complex topic into mutually exclusive, collectively exhaustive categories"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 20,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e38-5bd07858b093",
          "arcName": "The Consultant's Gambit",
          "arcSlug": "consultants-gambit",
          "beatName": "Solution & Approach",
          "beatSlug": "consultants-gambit-solution-approach",
          "evidence": "5 pillars deep dive: process, agents, data, IP, talent",
          "position": 3,
          "confidence": 75,
          "parentBeatName": "Turn",
          "parentBeatSlug": "turn"
        },
        {
          "to": 23,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e38-6de20af45b8d",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Action (Now What)",
          "beatSlug": "triple-take-the-action-now-what",
          "evidence": "5 pillars, transformation phases, attention areas",
          "position": 3,
          "confidence": 60,
          "parentBeatName": "Resolution",
          "parentBeatSlug": "resolution"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-11ca0e4babc6",
      "docSlug": "341e745702a30aa1",
      "documentTitle": "2024 Executive Perspectives AI Powered R D",
      "authorId": "BCG",
      "authorName": "BCG",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.778,
      "pageNumber": 12,
      "slideType": "process",
      "function": "present_solution",
      "notes": "Uses a process flow diagram to contrast linear vs. iterative development.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-11ca0e4babc6/12",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-11ca0e4babc6",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-11ca0e4babc6#slide-12",
      "loopMatches": [
        {
          "to": 20,
          "from": 11,
          "name": "Mece Breakdown",
          "slug": "40-mece-breakdown",
          "bestFor": "Problem structuring, ensuring completeness, strategic analysis",
          "matchId": "019dd95a-07fe-70ce-8d40-77e7cae1c91c",
          "evidence": "p11 lists 5 pillars; p12-13 process, p14-16 agents, p17-18 data, p19 IP, p20 talent",
          "position": 4,
          "objective": "Decompose AI integration into 5 distinct, exhaustive pillars",
          "structure": "The Whole -> Category A (distinct) -> Category B (distinct) -> Category C (distinct) -> Complete Coverage",
          "confidence": 85,
          "description": "Divide a complex topic into mutually exclusive, collectively exhaustive categories"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 20,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e38-5bd07858b093",
          "arcName": "The Consultant's Gambit",
          "arcSlug": "consultants-gambit",
          "beatName": "Solution & Approach",
          "beatSlug": "consultants-gambit-solution-approach",
          "evidence": "5 pillars deep dive: process, agents, data, IP, talent",
          "position": 3,
          "confidence": 75,
          "parentBeatName": "Turn",
          "parentBeatSlug": "turn"
        },
        {
          "to": 23,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e38-6de20af45b8d",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Action (Now What)",
          "beatSlug": "triple-take-the-action-now-what",
          "evidence": "5 pillars, transformation phases, attention areas",
          "position": 3,
          "confidence": 60,
          "parentBeatName": "Resolution",
          "parentBeatSlug": "resolution"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-11ca0e4babc6",
      "docSlug": "341e745702a30aa1",
      "documentTitle": "2024 Executive Perspectives AI Powered R D",
      "authorId": "BCG",
      "authorName": "BCG",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.778,
      "pageNumber": 13,
      "slideType": "comparison_table",
      "function": "compare_options",
      "notes": "The slide uses a 'From-To' framework to illustrate the impact of AI on R&D workflows.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-11ca0e4babc6/13",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-11ca0e4babc6",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-11ca0e4babc6#slide-13",
      "loopMatches": [
        {
          "to": 20,
          "from": 11,
          "name": "Mece Breakdown",
          "slug": "40-mece-breakdown",
          "bestFor": "Problem structuring, ensuring completeness, strategic analysis",
          "matchId": "019dd95a-07fe-70ce-8d40-77e7cae1c91c",
          "evidence": "p11 lists 5 pillars; p12-13 process, p14-16 agents, p17-18 data, p19 IP, p20 talent",
          "position": 4,
          "objective": "Decompose AI integration into 5 distinct, exhaustive pillars",
          "structure": "The Whole -> Category A (distinct) -> Category B (distinct) -> Category C (distinct) -> Complete Coverage",
          "confidence": 85,
          "description": "Divide a complex topic into mutually exclusive, collectively exhaustive categories"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 20,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e38-5bd07858b093",
          "arcName": "The Consultant's Gambit",
          "arcSlug": "consultants-gambit",
          "beatName": "Solution & Approach",
          "beatSlug": "consultants-gambit-solution-approach",
          "evidence": "5 pillars deep dive: process, agents, data, IP, talent",
          "position": 3,
          "confidence": 75,
          "parentBeatName": "Turn",
          "parentBeatSlug": "turn"
        },
        {
          "to": 23,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e38-6de20af45b8d",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Action (Now What)",
          "beatSlug": "triple-take-the-action-now-what",
          "evidence": "5 pillars, transformation phases, attention areas",
          "position": 3,
          "confidence": 60,
          "parentBeatName": "Resolution",
          "parentBeatSlug": "resolution"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-11ca0e4babc6",
      "docSlug": "341e745702a30aa1",
      "documentTitle": "2024 Executive Perspectives AI Powered R D",
      "authorId": "BCG",
      "authorName": "BCG",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.778,
      "pageNumber": 14,
      "slideType": "other",
      "function": "present_framework",
      "notes": "The slide uses a process diagram to illustrate the agentic loop (Action-Observation-Thought).",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-11ca0e4babc6/14",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-11ca0e4babc6",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-11ca0e4babc6#slide-14",
      "loopMatches": [
        {
          "to": 20,
          "from": 11,
          "name": "Mece Breakdown",
          "slug": "40-mece-breakdown",
          "bestFor": "Problem structuring, ensuring completeness, strategic analysis",
          "matchId": "019dd95a-07fe-70ce-8d40-77e7cae1c91c",
          "evidence": "p11 lists 5 pillars; p12-13 process, p14-16 agents, p17-18 data, p19 IP, p20 talent",
          "position": 4,
          "objective": "Decompose AI integration into 5 distinct, exhaustive pillars",
          "structure": "The Whole -> Category A (distinct) -> Category B (distinct) -> Category C (distinct) -> Complete Coverage",
          "confidence": 85,
          "description": "Divide a complex topic into mutually exclusive, collectively exhaustive categories"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 20,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e38-5bd07858b093",
          "arcName": "The Consultant's Gambit",
          "arcSlug": "consultants-gambit",
          "beatName": "Solution & Approach",
          "beatSlug": "consultants-gambit-solution-approach",
          "evidence": "5 pillars deep dive: process, agents, data, IP, talent",
          "position": 3,
          "confidence": 75,
          "parentBeatName": "Turn",
          "parentBeatSlug": "turn"
        },
        {
          "to": 23,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e38-6de20af45b8d",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Action (Now What)",
          "beatSlug": "triple-take-the-action-now-what",
          "evidence": "5 pillars, transformation phases, attention areas",
          "position": 3,
          "confidence": 60,
          "parentBeatName": "Resolution",
          "parentBeatSlug": "resolution"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "docSlug": "5df6bd1b0447b5f6",
      "documentTitle": "2025 Air Street Capital The State of AI Report 2025",
      "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": 298,
      "slideType": "data_table",
      "function": "analyze_data",
      "notes": null,
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/298",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-298",
      "loopMatches": [
        {
          "to": 302,
          "from": 284,
          "name": "Voice Of Customer",
          "slug": "51-voice-of-customer",
          "bestFor": "Product strategy, customer experience, market research",
          "matchId": "019dd95a-07fe-70ce-8d3e-bc54878ecaa5",
          "evidence": "'Our survey of 1,183 participants' (p.284); usage, productivity, tools, regrets reported verbatim.",
          "position": 13,
          "objective": "Surface practitioner voice from 1,183-person survey",
          "structure": "What Customers Say (Verbatim) -> The Pattern Across Voices -> The Insight -> The Response",
          "confidence": 90,
          "description": "Let customer quotes and feedback drive the narrative and validate the insight"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 306,
          "from": 283,
          "beatId": "019dd95a-0682-776c-8e35-a78da678530f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Action (Now What)",
          "beatSlug": "triple-take-the-action-now-what",
          "evidence": "Survey + 10 predictions for next 12 months close the report (p.305).",
          "position": 3,
          "confidence": 70,
          "parentBeatName": "Resolution",
          "parentBeatSlug": "resolution"
        },
        {
          "to": 306,
          "from": 283,
          "beatId": "019dd95a-0682-776c-8e35-b9654679d4e9",
          "arcName": "The Onion",
          "arcSlug": "onion",
          "beatName": "Implications",
          "beatSlug": "onion-implications",
          "evidence": "Survey + Predictions translate the core into forward-looking implications.",
          "position": 5,
          "confidence": 45,
          "parentBeatName": "Reflection",
          "parentBeatSlug": "reflection"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "docSlug": "5df6bd1b0447b5f6",
      "documentTitle": "2025 Air Street Capital The State of AI Report 2025",
      "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": 299,
      "slideType": "data_table",
      "function": "analyze_data",
      "notes": "Data from State of AI 2025 report.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/299",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-299",
      "loopMatches": [
        {
          "to": 302,
          "from": 284,
          "name": "Voice Of Customer",
          "slug": "51-voice-of-customer",
          "bestFor": "Product strategy, customer experience, market research",
          "matchId": "019dd95a-07fe-70ce-8d3e-bc54878ecaa5",
          "evidence": "'Our survey of 1,183 participants' (p.284); usage, productivity, tools, regrets reported verbatim.",
          "position": 13,
          "objective": "Surface practitioner voice from 1,183-person survey",
          "structure": "What Customers Say (Verbatim) -> The Pattern Across Voices -> The Insight -> The Response",
          "confidence": 90,
          "description": "Let customer quotes and feedback drive the narrative and validate the insight"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 306,
          "from": 283,
          "beatId": "019dd95a-0682-776c-8e35-a78da678530f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Action (Now What)",
          "beatSlug": "triple-take-the-action-now-what",
          "evidence": "Survey + 10 predictions for next 12 months close the report (p.305).",
          "position": 3,
          "confidence": 70,
          "parentBeatName": "Resolution",
          "parentBeatSlug": "resolution"
        },
        {
          "to": 306,
          "from": 283,
          "beatId": "019dd95a-0682-776c-8e35-b9654679d4e9",
          "arcName": "The Onion",
          "arcSlug": "onion",
          "beatName": "Implications",
          "beatSlug": "onion-implications",
          "evidence": "Survey + Predictions translate the core into forward-looking implications.",
          "position": 5,
          "confidence": 45,
          "parentBeatName": "Reflection",
          "parentBeatSlug": "reflection"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "docSlug": "5df6bd1b0447b5f6",
      "documentTitle": "2025 Air Street Capital The State of AI Report 2025",
      "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": 300,
      "slideType": "data_table",
      "function": "analyze_data",
      "notes": "The slide highlights the dominance of NVIDIA GPUs and the surprising prevalence of Apple hardware for local AI tasks.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/300",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-300",
      "loopMatches": [
        {
          "to": 302,
          "from": 284,
          "name": "Voice Of Customer",
          "slug": "51-voice-of-customer",
          "bestFor": "Product strategy, customer experience, market research",
          "matchId": "019dd95a-07fe-70ce-8d3e-bc54878ecaa5",
          "evidence": "'Our survey of 1,183 participants' (p.284); usage, productivity, tools, regrets reported verbatim.",
          "position": 13,
          "objective": "Surface practitioner voice from 1,183-person survey",
          "structure": "What Customers Say (Verbatim) -> The Pattern Across Voices -> The Insight -> The Response",
          "confidence": 90,
          "description": "Let customer quotes and feedback drive the narrative and validate the insight"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 306,
          "from": 283,
          "beatId": "019dd95a-0682-776c-8e35-a78da678530f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Action (Now What)",
          "beatSlug": "triple-take-the-action-now-what",
          "evidence": "Survey + 10 predictions for next 12 months close the report (p.305).",
          "position": 3,
          "confidence": 70,
          "parentBeatName": "Resolution",
          "parentBeatSlug": "resolution"
        },
        {
          "to": 306,
          "from": 283,
          "beatId": "019dd95a-0682-776c-8e35-b9654679d4e9",
          "arcName": "The Onion",
          "arcSlug": "onion",
          "beatName": "Implications",
          "beatSlug": "onion-implications",
          "evidence": "Survey + Predictions translate the core into forward-looking implications.",
          "position": 5,
          "confidence": 45,
          "parentBeatName": "Reflection",
          "parentBeatSlug": "reflection"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "docSlug": "5df6bd1b0447b5f6",
      "documentTitle": "2025 Air Street Capital The State of AI Report 2025",
      "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": 301,
      "slideType": "kpi_dashboard",
      "function": "analyze_data",
      "notes": "Data from Air Street Capital State of AI 2025 report.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/301",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-301",
      "loopMatches": [
        {
          "to": 302,
          "from": 284,
          "name": "Voice Of Customer",
          "slug": "51-voice-of-customer",
          "bestFor": "Product strategy, customer experience, market research",
          "matchId": "019dd95a-07fe-70ce-8d3e-bc54878ecaa5",
          "evidence": "'Our survey of 1,183 participants' (p.284); usage, productivity, tools, regrets reported verbatim.",
          "position": 13,
          "objective": "Surface practitioner voice from 1,183-person survey",
          "structure": "What Customers Say (Verbatim) -> The Pattern Across Voices -> The Insight -> The Response",
          "confidence": 90,
          "description": "Let customer quotes and feedback drive the narrative and validate the insight"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 306,
          "from": 283,
          "beatId": "019dd95a-0682-776c-8e35-a78da678530f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Action (Now What)",
          "beatSlug": "triple-take-the-action-now-what",
          "evidence": "Survey + 10 predictions for next 12 months close the report (p.305).",
          "position": 3,
          "confidence": 70,
          "parentBeatName": "Resolution",
          "parentBeatSlug": "resolution"
        },
        {
          "to": 306,
          "from": 283,
          "beatId": "019dd95a-0682-776c-8e35-b9654679d4e9",
          "arcName": "The Onion",
          "arcSlug": "onion",
          "beatName": "Implications",
          "beatSlug": "onion-implications",
          "evidence": "Survey + Predictions translate the core into forward-looking implications.",
          "position": 5,
          "confidence": 45,
          "parentBeatName": "Reflection",
          "parentBeatSlug": "reflection"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "docSlug": "5df6bd1b0447b5f6",
      "documentTitle": "2025 Air Street Capital The State of AI Report 2025",
      "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": 302,
      "slideType": "data_table",
      "function": "summarize",
      "notes": "The slide uses logos to represent the AI labs, ranked from 1 to 12.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/302",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-302",
      "loopMatches": [
        {
          "to": 302,
          "from": 284,
          "name": "Voice Of Customer",
          "slug": "51-voice-of-customer",
          "bestFor": "Product strategy, customer experience, market research",
          "matchId": "019dd95a-07fe-70ce-8d3e-bc54878ecaa5",
          "evidence": "'Our survey of 1,183 participants' (p.284); usage, productivity, tools, regrets reported verbatim.",
          "position": 13,
          "objective": "Surface practitioner voice from 1,183-person survey",
          "structure": "What Customers Say (Verbatim) -> The Pattern Across Voices -> The Insight -> The Response",
          "confidence": 90,
          "description": "Let customer quotes and feedback drive the narrative and validate the insight"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 306,
          "from": 283,
          "beatId": "019dd95a-0682-776c-8e35-a78da678530f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Action (Now What)",
          "beatSlug": "triple-take-the-action-now-what",
          "evidence": "Survey + 10 predictions for next 12 months close the report (p.305).",
          "position": 3,
          "confidence": 70,
          "parentBeatName": "Resolution",
          "parentBeatSlug": "resolution"
        },
        {
          "to": 306,
          "from": 283,
          "beatId": "019dd95a-0682-776c-8e35-b9654679d4e9",
          "arcName": "The Onion",
          "arcSlug": "onion",
          "beatName": "Implications",
          "beatSlug": "onion-implications",
          "evidence": "Survey + Predictions translate the core into forward-looking implications.",
          "position": 5,
          "confidence": 45,
          "parentBeatName": "Reflection",
          "parentBeatSlug": "reflection"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "docSlug": "5df6bd1b0447b5f6",
      "documentTitle": "2025 Air Street Capital The State of AI Report 2025",
      "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": 303,
      "slideType": "filler",
      "function": "other",
      "notes": "This is a transition or filler slide within the deck, acting as a call to action for the audience.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/303",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-303",
      "loopMatches": [],
      "arcBeatMatches": [
        {
          "to": 306,
          "from": 283,
          "beatId": "019dd95a-0682-776c-8e35-a78da678530f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Action (Now What)",
          "beatSlug": "triple-take-the-action-now-what",
          "evidence": "Survey + 10 predictions for next 12 months close the report (p.305).",
          "position": 3,
          "confidence": 70,
          "parentBeatName": "Resolution",
          "parentBeatSlug": "resolution"
        },
        {
          "to": 306,
          "from": 283,
          "beatId": "019dd95a-0682-776c-8e35-b9654679d4e9",
          "arcName": "The Onion",
          "arcSlug": "onion",
          "beatName": "Implications",
          "beatSlug": "onion-implications",
          "evidence": "Survey + Predictions translate the core into forward-looking implications.",
          "position": 5,
          "confidence": 45,
          "parentBeatName": "Reflection",
          "parentBeatSlug": "reflection"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "docSlug": "5df6bd1b0447b5f6",
      "documentTitle": "2025 Air Street Capital The State of AI Report 2025",
      "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": 304,
      "slideType": "section_divider",
      "function": "transition",
      "notes": null,
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/304",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-304",
      "loopMatches": [],
      "arcBeatMatches": [
        {
          "to": 306,
          "from": 283,
          "beatId": "019dd95a-0682-776c-8e35-a78da678530f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Action (Now What)",
          "beatSlug": "triple-take-the-action-now-what",
          "evidence": "Survey + 10 predictions for next 12 months close the report (p.305).",
          "position": 3,
          "confidence": 70,
          "parentBeatName": "Resolution",
          "parentBeatSlug": "resolution"
        },
        {
          "to": 306,
          "from": 283,
          "beatId": "019dd95a-0682-776c-8e35-b9654679d4e9",
          "arcName": "The Onion",
          "arcSlug": "onion",
          "beatName": "Implications",
          "beatSlug": "onion-implications",
          "evidence": "Survey + Predictions translate the core into forward-looking implications.",
          "position": 5,
          "confidence": 45,
          "parentBeatName": "Reflection",
          "parentBeatSlug": "reflection"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "docSlug": "5df6bd1b0447b5f6",
      "documentTitle": "2025 Air Street Capital The State of AI Report 2025",
      "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": 305,
      "slideType": "initiative_list",
      "function": "summarize",
      "notes": "The slide uses a numbered list format to present speculative future events.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/305",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-305",
      "loopMatches": [
        {
          "to": 305,
          "from": 305,
          "name": "Time Machine",
          "slug": "24-time-machine",
          "bestFor": "Vision casting, long-term strategy, investment pitches",
          "matchId": "019dd95a-07fe-70ce-8d3e-c20200581cbc",
          "evidence": "'10 predictions for the next 12 months' enumerated 1-10 with concrete future scenarios.",
          "position": 14,
          "objective": "Project 12 months forward with 10 specific predictions",
          "structure": "Fast Forward to Success -> What Made It Possible -> Back to Today's Decision",
          "confidence": 90,
          "description": "Transport the audience to a future state where your solution has already succeeded"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 306,
          "from": 283,
          "beatId": "019dd95a-0682-776c-8e35-a78da678530f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Action (Now What)",
          "beatSlug": "triple-take-the-action-now-what",
          "evidence": "Survey + 10 predictions for next 12 months close the report (p.305).",
          "position": 3,
          "confidence": 70,
          "parentBeatName": "Resolution",
          "parentBeatSlug": "resolution"
        },
        {
          "to": 306,
          "from": 283,
          "beatId": "019dd95a-0682-776c-8e35-b9654679d4e9",
          "arcName": "The Onion",
          "arcSlug": "onion",
          "beatName": "Implications",
          "beatSlug": "onion-implications",
          "evidence": "Survey + Predictions translate the core into forward-looking implications.",
          "position": 5,
          "confidence": 45,
          "parentBeatName": "Reflection",
          "parentBeatSlug": "reflection"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "docSlug": "5df6bd1b0447b5f6",
      "documentTitle": "2025 Air Street Capital The State of AI Report 2025",
      "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": 306,
      "slideType": "closing_ask",
      "function": "summarize",
      "notes": null,
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/306",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-306",
      "loopMatches": [],
      "arcBeatMatches": [
        {
          "to": 306,
          "from": 283,
          "beatId": "019dd95a-0682-776c-8e35-a78da678530f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Action (Now What)",
          "beatSlug": "triple-take-the-action-now-what",
          "evidence": "Survey + 10 predictions for next 12 months close the report (p.305).",
          "position": 3,
          "confidence": 70,
          "parentBeatName": "Resolution",
          "parentBeatSlug": "resolution"
        },
        {
          "to": 306,
          "from": 283,
          "beatId": "019dd95a-0682-776c-8e35-b9654679d4e9",
          "arcName": "The Onion",
          "arcSlug": "onion",
          "beatName": "Implications",
          "beatSlug": "onion-implications",
          "evidence": "Survey + Predictions translate the core into forward-looking implications.",
          "position": 5,
          "confidence": 45,
          "parentBeatName": "Reflection",
          "parentBeatSlug": "reflection"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "docSlug": "5df6bd1b0447b5f6",
      "documentTitle": "2025 Air Street Capital The State of AI Report 2025",
      "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": 307,
      "slideType": "appendix_disclosure",
      "function": "other",
      "notes": null,
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/307",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-307",
      "loopMatches": [],
      "arcBeatMatches": [],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "docSlug": "5df6bd1b0447b5f6",
      "documentTitle": "2025 Air Street Capital The State of AI Report 2025",
      "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": 308,
      "slideType": "appendix_disclosure",
      "function": "other",
      "notes": null,
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/308",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-308",
      "loopMatches": [],
      "arcBeatMatches": [],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "docSlug": "5df6bd1b0447b5f6",
      "documentTitle": "2025 Air Street Capital The State of AI Report 2025",
      "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": 309,
      "slideType": "team_bio",
      "function": "other",
      "notes": null,
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/309",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-309",
      "loopMatches": [],
      "arcBeatMatches": [],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "docSlug": "5df6bd1b0447b5f6",
      "documentTitle": "2025 Air Street Capital The State of AI Report 2025",
      "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": 310,
      "slideType": "team_bio",
      "function": "other",
      "notes": null,
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/310",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-310",
      "loopMatches": [],
      "arcBeatMatches": [],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "docSlug": "5df6bd1b0447b5f6",
      "documentTitle": "2025 Air Street Capital The State of AI Report 2025",
      "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": 311,
      "slideType": "closing_ask",
      "function": "state_next_steps",
      "notes": null,
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/311",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-311",
      "loopMatches": [],
      "arcBeatMatches": [],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "docSlug": "5df6bd1b0447b5f6",
      "documentTitle": "2025 Air Street Capital The State of AI Report 2025",
      "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": 312,
      "slideType": "other",
      "function": "other",
      "notes": "The slide serves as a community engagement/promotional page within a larger report.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/312",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-312",
      "loopMatches": [],
      "arcBeatMatches": [],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "docSlug": "5df6bd1b0447b5f6",
      "documentTitle": "2025 Air Street Capital The State of AI Report 2025",
      "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": 313,
      "slideType": "cover",
      "function": "front_matter",
      "notes": null,
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/313",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-313",
      "loopMatches": [],
      "arcBeatMatches": [],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    }
  ]
}