{
  "docId": "019dd923-605c-759f-b6af-5d8a783f352e",
  "docSlug": "bi-9affa4caca1e58be",
  "documentTitle": "Here's the pitch deck AI robot startup Chef used to raise $20.6<",
  "authorId": "Pitchdecks",
  "authorName": "Chef",
  "documentKindSlug": "pitchdeck",
  "documentKindLabel": "Pitch deck",
  "sourceTypeSlug": "strategy_consulting",
  "sourceTypeLabel": "Strategy consulting",
  "presentationDate": null,
  "orientation": "landscape",
  "aspectRatio": 1.777,
  "pageNumber": 5,
  "pageCount": 12,
  "prevPage": 4,
  "nextPage": 6,
  "slideType": "context",
  "function": "establish_context",
  "density": "dense",
  "nDataPoints": 0,
  "notes": "The slide uses a grid of food images to visually represent the 'trillions of permutations' mentioned in the text.",
  "elementsJson": [
    "headline_text",
    "bullet_list",
    "photo"
  ],
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019dd923-605c-759f-b6af-5d8a783f352e/5",
  "deckHref": "/decks/019dd923-605c-759f-b6af-5d8a783f352e",
  "deckJsonHref": "/decks/019dd923-605c-759f-b6af-5d8a783f352e.json",
  "deckAnchorHref": "/decks/019dd923-605c-759f-b6af-5d8a783f352e#slide-5",
  "components": [
    {
      "bbox": null,
      "kind": "callout",
      "text": "There are trillions of permutations to food. And food material properties change daily based on:",
      "attrs": null,
      "subkind": null,
      "toolName": "Visual emphasis",
      "toolSlug": "visual-emphasis",
      "confidence": null,
      "componentId": "019dd952-c0ab-717a-a221-b7e0d408fd6c",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.65,
        "w": 0.55,
        "x": 0.05,
        "y": 0.25
      },
      "kind": "image",
      "text": "Grid of 40 food images",
      "attrs": null,
      "subkind": "icon-grid",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "b3b9dd19-0ce6-4134-9103-0db11586c356",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.4,
        "w": 0.35,
        "x": 0.62,
        "y": 0.42
      },
      "kind": "list",
      "text": "Prepping method (e.g., julienned vs. chopped)\nCooking method (e.g., sautéed vs broiled)\nStoring method (e.g., cooked vs frozen)\nWho does it (e.g., Sally vs Bob)\nWhat other ingredients added (e.g., broccoli wth curry vs without)",
      "attrs": null,
      "subkind": "bullet",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "21ca9b1d-3ac7-482c-8f81-9cefb1cc6db8",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.08,
        "w": 0.85,
        "x": 0.05,
        "y": 0.13
      },
      "kind": "paragraph",
      "text": "Unlike LLMs, ChefOS cannot download the internet for training data. AI for food manipulation requires real-world data from customer deployments.",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "c47fecd0-86e7-4ba1-9360-79e19b507e85",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.08,
        "w": 0.9,
        "x": 0.05,
        "y": 0.05
      },
      "kind": "title",
      "text": "AI FOR FOOD MANIPULATION REQUIRES REAL-WORLD TRAINING DATA",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "2556a0d7-ba65-4ade-a514-5c0a32d07098",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [],
  "frameworks": [],
  "arcBeats": [
    {
      "to": 10,
      "from": 4,
      "beatId": "93ca4113-4b11-4f7d-9450-d52f5d06da25",
      "arcName": "Problem-Agitate-Solution",
      "arcSlug": "problem-agitate-solution",
      "beatName": "Solution",
      "beatSlug": "problem-agitate-solution-solution-provide-relief",
      "evidence": "Slides 4 and 10 present the solution",
      "position": 2,
      "confidence": 0.9,
      "parentBeatName": "Resolution",
      "parentBeatSlug": "resolution"
    }
  ],
  "loops": [
    {
      "to": 8,
      "from": 2,
      "name": "Quick Win Big Bet",
      "slug": "47-quick-win-big-bet",
      "bestFor": "Transformation planning, 100-day plans, resource allocation",
      "matchId": "f2260257-e45d-4b8a-bb05-3f6174e1cca0",
      "evidence": "Slides 2-8 present market sizing and potential",
      "position": 1,
      "objective": "Can we win big with ChefOS?",
      "structure": "The Full List -> Quick Wins (Low effort, High impact) -> Big Bets (High effort, High impact) -> Sequenced Roadmap",
      "confidence": 0.7,
      "description": "Separate initiatives into immediate wins and longer-term strategic bets"
    }
  ],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}