{
  "docId": "019dd923-5fed-74f2-a96f-fa3686da4049",
  "docSlug": "bi-7b9a9752083701ed",
  "documentTitle": "The pitch deck gen AI startup Leonardo.Ai used to raise $31 million",
  "authorId": "Pitchdecks",
  "authorName": "Leonardo.Ai",
  "documentKindSlug": "pitchdeck",
  "documentKindLabel": "Pitch deck",
  "sourceTypeSlug": "strategy_consulting",
  "sourceTypeLabel": "Strategy consulting",
  "presentationDate": null,
  "orientation": "landscape",
  "aspectRatio": 1.777,
  "pageNumber": 23,
  "pageCount": 36,
  "prevPage": 22,
  "nextPage": 24,
  "slideType": "product_demo",
  "function": "present_solution",
  "density": "dense",
  "nDataPoints": 0,
  "notes": "The slide uses a three-stage process flow to illustrate the capability of the model to generate and refine assets.",
  "elementsJson": [
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    "icon_grid"
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  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5fed-74f2-a96f-fa3686da4049/23",
  "deckHref": "/decks/019dd923-5fed-74f2-a96f-fa3686da4049",
  "deckJsonHref": "/decks/019dd923-5fed-74f2-a96f-fa3686da4049.json",
  "deckAnchorHref": "/decks/019dd923-5fed-74f2-a96f-fa3686da4049#slide-23",
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      "kind": "callout",
      "text": "This process can be performed for all kinds of assets – from items to characters, to environments.",
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      "kind": "image",
      "text": "Grid of helmet images",
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      "kind": "paragraph",
      "text": "More variations can be created and directed with user input (e.g. colorful, tentacles, holographic, large horns). All generated images exhibit a consistent finish.",
      "attrs": null,
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      "kind": "paragraph",
      "text": "The process is iterative, allowing rounds of upscaling and refinement at the user’s discretion. Significant deviations are possible based on user choices.",
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      },
      "kind": "paragraph",
      "text": "A simple prompt, “A Medieval Helmet,” is capable of producing an infinite number of variations, each an isolated object on a transparent background.",
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      "kind": "title",
      "text": "Model Finetuning: Items",
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      "kind": "title",
      "text": "Example 1",
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  "metrics": [],
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  "frameworks": [
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      "matchId": "734970bc-0016-4f8b-8141-bf5b587177f1",
      "evidence": "Three-stage flow showing iterative refinement",
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      "beatId": "f150c9e9-8d87-4f70-84ba-6238bb383a8d",
      "arcName": "The Sequoia Pitch",
      "arcSlug": "sequoia-pitch",
      "beatName": "Solution",
      "beatSlug": "sequoia-pitch-solution",
      "evidence": "Slides on Leonardo Alchemy and product demos",
      "position": 1,
      "confidence": 0.8,
      "parentBeatName": "Turn",
      "parentBeatSlug": "turn"
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  "loops": [
    {
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      "from": 11,
      "name": "Jobs To Be Done",
      "slug": "53-jobs-to-be-done",
      "bestFor": "Product innovation, market entry, competitive positioning",
      "matchId": "32df5e13-18e9-48f9-a7e6-0051714f5993",
      "evidence": "Slides on Leonardo Alchemy and product demos",
      "position": 1,
      "objective": "How can we improve 3D content creation?",
      "structure": "The Customer's Job -> Current Solutions (Hired/Fired) -> Unmet Needs -> Our Solution Fit",
      "confidence": 0.6,
      "description": "Reframe the problem around what the customer is trying to accomplish, not what they're buying"
    }
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