{ "schemaVersion": "deck-intelligence.v1", "id": "019dd923-5fed-74f2-a96e-ca1b59bf3a96", "slug": "bi-a0dc4029dfa69804", "title": "Legal startup Genie AI secures funding from Google Ventures", "subtitle": "Genie AI", "author": "Genie AI", "pageCount": 13, "kind": "pitchdeck", "orientation": "landscape", "aspectRatio": 1.777, "document": { "id": "019dd923-5fed-74f2-a96e-ca1b59bf3a96", "slug": "bi-a0dc4029dfa69804", "title": "Legal startup Genie AI secures funding from Google Ventures", "rawTitle": "Legal startup Genie AI secures funding from Google Ventures", "authorId": "Pitchdecks", "authorName": "Genie AI", "authorDisplay": "Genie AI", "kind": { "slug": "pitchdeck", "label": "Pitch deck" }, "sourceType": { "slug": "strategy_consulting", "label": "Strategy consulting" }, "fileName": "Genie-bi-a0dc4.pdf", "sourceUrl": "https://www.businessinsider.com/genie-ai-funding-khosla-ventures-google-pitch-deck-2024-10", "sourceDate": "2024-10-23 00:00:00", "presentationDate": null, "ingestedAt": "2026-04-27 10:04:34.995+00", "status": "ready", "pageCount": 13, "orientation": "landscape", "aspectRatio": 1.777, "targetCompany": null, "targetTicker": null, "metadata": { "local_root": "/tmp/legacy-images/bi-a0dc4029dfa69804", "origin_corpus": "consulting" } }, "coverage": { "pageCount": 13, "pagesIndexed": 13, "pagesWithImages": 13, "pagesWithMetadata": 13, "imageCoveragePct": 100, "metadataCoveragePct": 100, "componentCount": 43, "chartCount": 2, "metricSlides": 0, "toolMatches": 8, "documentToolMatches": 0, "frameworkMatches": 2, "arcMatches": 1, "beatMatches": 4, "loopMatches": 2, "patternMatches": 0, "storymakersMatch": false, "scoreAvailable": false, "reviewAvailable": false, "activistThesisAvailable": false, "pitchdeckMetadataAvailable": true, "pitchdeckProfileAvailable": true }, "blocks": [], "matches": { "arcs": [ { "arc": { "name": "The Sequoia Pitch", "slug": "sequoia-pitch", "status": "active", "bestFor": "Investor pitches, Series A/B, board presentations", "canonId": "019dd956-5e69-75a7-a0a4-895ac1bc0444", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Problem -> Solution -> Why Now -> Market Size -> Competition -> Product -> Business Model -> Team -> Financials -> The Ask", "description": null, "familyLabel": null, "categoryName": "Strategy & Business", "categorySlug": "strategy-business" }, "matchId": "2519a5c8-4970-45a4-a024-3fdc756aa36d", "evidence": "The deck follows a similar structure to the Sequoia Pitch arc, with market sizing, product demo, traction, and team bio", "isPrimary": true, "confidence": 0.8, "extraction": { "at": "2026-07-16 21:43:24.64079+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "beats": [ { "to": 4, "arc": { "name": "The Sequoia Pitch", "slug": "sequoia-pitch", "status": "active", "bestFor": "Investor pitches, Series A/B, board presentations", "canonId": "019dd956-5e69-75a7-a0a4-895ac1bc0444", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Problem -> Solution -> Why Now -> Market Size -> Competition -> Product -> Business Model -> Team -> Financials -> The Ask", "description": null, "familyLabel": null, "categoryName": "Strategy & Business", "categorySlug": "strategy-business" }, "from": 2, "name": "Problem", "beatId": "e91ecb23-7213-405d-aa9e-8fc594563a33", "matchId": "2519a5c8-4970-45a4-a024-3fdc756aa36d", "beatType": { "name": "Problem", "slug": "sequoia-pitch-problem", "status": "active", "canonId": "019dd9b8-1ed4-767b-8e05-40e733bd2311", "version": 1, "description": null }, "evidence": "The deck presents the problem and market opportunity on pages 2-4", "position": 0, "isPrimaryArc": true, "parentBeatType": { "name": "Complication", "slug": "complication", "status": "active", "canonId": "019dd9b8-0275-7709-b2d6-4f77c3fc7579", "version": 1, "description": "The point in the narrative where the audience should feel discomfort. Required for argumentative arcs." }, "alignedBlockIds": null, "matchConfidence": 0.8 }, { "to": 8, "arc": { "name": "The Sequoia Pitch", "slug": "sequoia-pitch", "status": "active", "bestFor": "Investor pitches, Series A/B, board presentations", "canonId": "019dd956-5e69-75a7-a0a4-895ac1bc0444", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Problem -> Solution -> Why Now -> Market Size -> Competition -> Product -> Business Model -> Team -> Financials -> The Ask", "description": null, "familyLabel": null, "categoryName": "Strategy & Business", "categorySlug": "strategy-business" }, "from": 5, "name": "Product", "beatId": "8c0de84b-23fa-4d5c-897e-193164cd2baa", "matchId": "2519a5c8-4970-45a4-a024-3fdc756aa36d", "beatType": { "name": "Product", "slug": "sequoia-pitch-product", "status": "active", "canonId": "019dd9b8-2259-77df-a937-8b665c8066fe", "version": 1, "description": null }, "evidence": "The deck showcases the product features on pages 5-8", "position": 1, "isPrimaryArc": true, "parentBeatType": { "name": "Evidence", "slug": "evidence", "status": "active", "canonId": "019dd9b8-03f9-772a-b84a-4f07b415b77a", "version": 1, "description": "A dedicated proof beat exists in only ~4 arcs (Gambit, Sequoia, AIDA, Monroes). Other arcs embed evidence inline within development." }, "alignedBlockIds": null, "matchConfidence": 0.8 }, { "to": 11, "arc": { "name": "The Sequoia Pitch", "slug": "sequoia-pitch", "status": "active", "bestFor": "Investor pitches, Series A/B, board presentations", "canonId": "019dd956-5e69-75a7-a0a4-895ac1bc0444", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Problem -> Solution -> Why Now -> Market Size -> Competition -> Product -> Business Model -> Team -> Financials -> The Ask", "description": null, "familyLabel": null, "categoryName": "Strategy & Business", "categorySlug": "strategy-business" }, "from": 9, "name": "Traction", "beatId": "0451170f-5049-4cf5-a7ce-454d57b2478b", "matchId": "2519a5c8-4970-45a4-a024-3fdc756aa36d", "beatType": null, "evidence": "The deck presents traction and growth metrics on pages 9-11", "position": 2, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 0.8 }, { "to": 13, "arc": { "name": "The Sequoia Pitch", "slug": "sequoia-pitch", "status": "active", "bestFor": "Investor pitches, Series A/B, board presentations", "canonId": "019dd956-5e69-75a7-a0a4-895ac1bc0444", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Problem -> Solution -> Why Now -> Market Size -> Competition -> Product -> Business Model -> Team -> Financials -> The Ask", "description": null, "familyLabel": null, "categoryName": "Strategy & Business", "categorySlug": "strategy-business" }, "from": 13, "name": "Team", "beatId": "69db05d0-7c1a-488d-ab5a-fbd739783492", "matchId": "2519a5c8-4970-45a4-a024-3fdc756aa36d", "beatType": { "name": "Team", "slug": "sequoia-pitch-team", "status": "active", "canonId": "019dd9b8-23c9-746f-aaf9-2f5d83892cf3", "version": 1, "description": null }, "evidence": "The deck presents the team bio on page 13", "position": 3, "isPrimaryArc": true, "parentBeatType": { "name": "Evidence", "slug": "evidence", "status": "active", "canonId": "019dd9b8-03f9-772a-b84a-4f07b415b77a", "version": 1, "description": "A dedicated proof beat exists in only ~4 arcs (Gambit, Sequoia, AIDA, Monroes). Other arcs embed evidence inline within development." }, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [ { "to": 9, "from": 4, "loop": { "name": "27_cost_of_inaction", "slug": "27-cost-of-inaction", "status": "active", "bestFor": "Urgent budget requests, compliance, risk mitigation", "canonId": "019dd956-70d1-7395-a15b-857ba858b394", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Status Quo -> The Hidden Costs Accumulating -> The Future State of Inaction -> The Tipping Point", "description": "Quantify what happens if the audience does nothing", "familyLabel": null, "categoryName": "Urgency", "categorySlug": "urgency" }, "matchId": "d83c27f1-ffd9-4649-8b34-f425cb3db217", "evidence": "The deck implies the cost of inaction by highlighting the inefficiency of current legal document processing", "position": 0, "objective": "What is the cost of not using Genie AI?", "confidence": 0.6, "extraction": { "at": "2026-07-16 21:43:24.852221+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } }, { "to": 13, "from": 2, "loop": { "name": "47_quick_win_big_bet", "slug": "47-quick-win-big-bet", "status": "active", "bestFor": "Transformation planning, 100-day plans, resource allocation", "canonId": "019dd956-790d-708d-983e-ef9bbc68f741", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Full List -> Quick Wins (Low effort, High impact) -> Big Bets (High effort, High impact) -> Sequenced Roadmap", "description": "Separate initiatives into immediate wins and longer-term strategic bets", "familyLabel": null, "categoryName": "Consulting Framework", "categorySlug": "consulting-framework" }, "matchId": "369ead70-e49a-442a-acbd-add78f293efb", "evidence": "The deck presents Genie AI as a solution with traction and growth potential", "position": 1, "objective": "Can Genie AI provide a quick win and a big bet for investors?", "confidence": 0.6, "extraction": { "at": "2026-07-16 21:43:24.894582+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "tools": [ { "tool": { "name": "Slide recipe: Cover", "slug": "cover-slide", "status": "active", "bestFor": null, "canonId": "019df269-2a08-767d-9128-e7431e6fe8a3", "version": 1, "bodyDocId": "019df269-29e5-7738-b5fa-6892e5dc8e65", "description": "The first ten seconds. Build it deliberately.", "familyLabel": "slide-recipe", "categoryName": "Slide", "categorySlug": "slide" }, "agent": "designer", "layer": "slide", "agents": [ "designer" ], "matchId": "a55e5968-414f-4992-ad09-de81359174ec", "evidence": "GENIE AI", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.9, "extraction": { "at": "2026-07-16 22:35:56.121722+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 1, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Value Proposition Canvas", "slug": "value-proposition-canvas", "status": "active", "bestFor": null, "canonId": "019dd956-85a9-713f-8a1c-b6e5af5cc6cd", "version": 1, "bodyDocId": null, "description": "Mapping customer jobs/pains/gains to your value proposition", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "8b669a5c-ecbe-4b4a-80c0-1e81ab0ae529", "evidence": "We are the data entry platform for legal - gathering knowledge faster than law firms", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:35:56.18656+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 2, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Core Message Extraction", "slug": "core-message-extraction", "status": "active", "bestFor": "Any slide that carries an argument or finding. The diagnostic: if the slide has a chart on it, it needs a core message. Run extraction whenever the current title is a topic (Q3 performance, Customer satisfaction) rather than a claim, or when a reader could reasonably draw more than one conclusion from the visible evidence.", "canonId": "019dd956-bc71-707d-8867-1b2e810175cf", "version": 1, "bodyDocId": "f85613cb-4b77-462f-bfe6-3b862516e1a6", "description": "The discipline of distilling raw analysis, data, or content into a single declarative sentence — the slide's core message — that the audience would walk away with if they remembered nothing else. Process, not artefact: extraction questions run on the raw content until one sentence falls out.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "82396277-be78-4244-a11c-a2d8eefc7a32", "evidence": "Our AI reviews documents, highlighting risks and suggesting alternatives, helping you trust the document.", "pageRefs": null, "priority": null, "whenToUse": "Any slide that carries an argument or finding. The diagnostic: if the slide has a chart on it, it needs a core message. Run extraction whenever the current title is a topic (Q3 performance, Customer satisfaction) rather than a claim, or when a reader could reasonably draw more than one conclusion from the visible evidence.", "confidence": 0.7, "extraction": { "at": "2026-07-16 22:35:47.70537+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 8, "whyItWorks": "Solves the two failure modes of slide writing simultaneously: the topic title (which outsources interpretation to the audience and produces three different conclusions in three different heads) and the multi-thesis stapler (which exceeds working memory and gets remembered as fragments). Aligns with how readers actually consume decks — Heath & Heath's Find the Core, the journalist's nut graf, and Minto's governing thought all converge on the same cognitive economics.", "antipattern": "Topic titles disguised as core messages (Customer satisfaction, no verb, no stake); multi-thesis sentences stapled with and; hedged sentences (may show signs of possible softening); chart-caption titles (Revenue fell 4%) that restate what the chart already shows instead of naming the so-what; meta-commentary (this slide explores...) that describes the slide rather than concluding it.", "cardinality": null, "narrativePurpose": "Forces the slide author to do the interpretive work before the slide ships, so the audience does not have to do it during the meeting. Wins the WYSIATI battle on purpose — the loudest fragment on the page becomes the author's chosen sentence rather than whichever chart label happens to be largest." }, { "tool": { "name": "Storytelling: audience calibration", "slug": "audience", "status": "active", "bestFor": null, "canonId": "019df269-23ea-723a-87c0-af1d78d702d2", "version": 1, "bodyDocId": "019df269-23c5-72ec-8b94-78fc1da7b656", "description": "The same thesis, written for four different audiences, produces four", "familyLabel": "narrative-block", "categoryName": "Narrative & Transformation", "categorySlug": "narrative-transformation" }, "agent": "storyteller", "layer": "slide", "agents": [ "storyteller" ], "matchId": "02d2b1d7-2ba9-4dae-864b-c66a64c3d14d", "evidence": "Our AI reviews documents, highlighting risks and suggesting alternatives, helping you trust the document.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:35:47.671725+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 8, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Data Story Arc", "slug": "data-story-arc", "status": "active", "bestFor": null, "canonId": "019dd956-9c30-728e-b974-d3fb123dcf5a", "version": 1, "bodyDocId": null, "description": "Context → Conflict → Insight → Implication structure for data narratives", "familyLabel": null, "categoryName": "Loop", "categorySlug": "loop" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "605d4fa6-fe3c-4e99-83bb-e890ba7af028", "evidence": "Line chart showing AI Review and AI Chat performance over time/user count", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:35:47.801861+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 9, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Social Proof", "slug": "social-proof", "status": "active", "bestFor": null, "canonId": "019dd956-990d-7620-82b3-6dd286f34568", "version": 1, "bodyDocId": null, "description": "People adapt behavior based on what others do - show adoption and testimonials", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "eeda9820-f13b-442c-9a12-d51570f9b0a9", "evidence": "174 lawyers using Genie have rated our AI algorithms as 92% and 94% accurate", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.8, "extraction": { "at": "2026-07-16 22:35:47.770277+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 9, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "List presentation", "slug": "list-presentation", "status": "active", "bestFor": null, "canonId": "019dd9e1-4ef7-777d-ba68-9074c2b3bcf1", "version": 1, "bodyDocId": null, "description": "Bulleted, numbered, or checklist enumerations.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "2cc97702-09e1-4b9d-be71-f270db88dcbd", "evidence": "Internal doc sharing\nCounterparty doc sharing\nReal time collaboration\nUnique privacy-aware sharing\nComments & replies\nPost-raise: on-platform negotiation\nPost-raise: e-sign", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.8, "extraction": { "at": "2026-07-16 22:35:47.86695+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 10, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null }, { "tool": { "name": "Data-Ink Ratio", "slug": "data-ink-ratio", "status": "active", "bestFor": null, "canonId": "019dd956-afc8-70da-b378-92834d36fde6", "version": 1, "bodyDocId": null, "description": "Maximize data, minimize non-data ink - remove chartjunk and decoration", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "73d3be7b-614e-4df4-98a1-b49aef6e3cb6", "evidence": "chart/line: Growth chart of companies over time", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:35:47.938973+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 11, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [ { "matchId": "3a2c6a4b-317f-445e-b3d5-c4e2d1c06a9b", "evidence": "Striking through Microsoft Word and replacing it with Genie AI", "framework": null, "confidence": 1, "extraction": { "at": "2026-05-02 16:11:54.14+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 2, "frameworkName": "before-after-framing" }, { "matchId": "ed54c544-a779-4b09-8167-b3f43832cb4a", "evidence": "The slide segments the market by company size to identify a target customer profile.", "framework": null, "confidence": 0.8, "extraction": { "at": "2026-05-02 16:11:57.702+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 4, "frameworkName": "market-segmentation-pyramid" } ], "patterns": [] }, "storymakers": null, "score": null, "review": null, "activistThesis": null, "pitchdeck": { "metadata": { "author": "Riddhi Kanetkar", "fireId": "bi-a0dc4029dfa69804", "sector": null, "deckKind": "fundraise", "roundRaw": null, "amountRaw": null, "amountUsd": null, "scrapedAt": "2026-04-27 10:04:34.995+00", "sectorRaw": null, "sourceUrl": "https://www.businessinsider.com/genie-ai-funding-khosla-ventures-google-pitch-deck-2024-10", "deckKindAt": "2026-04-28 07:19:06+00", "highlights": "Genie AI has developed an editing platform that uses AI to draft and review legal documents for companies.", "slideCount": 13, "companyName": "Genie", "description": "Genie AI has developed an editing platform that uses AI to draft and review legal documents for companies.", "displayName": "Genie AI", "publishDate": "2024-10-23", "roundSeries": null, "articleTitle": "Legal startup Genie AI secures funding from Google Ventures", "leadInvestors": "Google Ventures", "deckKindSignal": "secures funding", "metaExtractedAt": "2026-04-28 07:16:02+00" }, "profile": { "scores": { "yc": 0.3333, "a16z": 0.2533, "docsend": 0.2068, "hoffman": 0.3019, "mcclure": 0.2338, "sequoia": 0.2068, "kawasaki": 0.1837, "nextview": 0.3083, "slidebean": 0.1942, "founder_institute": 0.2394 }, "nSlides": 13, "sequence": [ "cover", "analogy", "vision", "segmentation", "product_demo", "product_demo", "product_demo", "product_demo", "traction", "solution", "traction", "testimonial", "team_bio" ], "breakdown": { "yc": { "order": 0.4, "signal": 0.08, "jaccard": 0.2667 }, "a16z": { "order": 0.4, "signal": 0, "jaccard": 0.2667 }, "docsend": { "order": 0.2727, "signal": 0, "jaccard": 0.25 }, "hoffman": { "order": 0.3636, "signal": 0.05, "jaccard": 0.2857 }, "mcclure": { "order": 0.3, "signal": 0.05, "jaccard": 0.1875 }, "sequoia": { "order": 0.2727, "signal": 0, "jaccard": 0.25 }, "kawasaki": { "order": 0.3, "signal": 0, "jaccard": 0.1875 }, "nextview": { "order": 0.3333, "signal": 0, "jaccard": 0.4167 }, "slidebean": { "order": 0.2308, "signal": 0, "jaccard": 0.25 }, "founder_institute": { "order": 0.3077, "signal": 0, "jaccard": 0.2941 } }, "matchedAt": "2026-04-27 21:51:54+00", "noveltyScore": 0.9667, "primaryScore": 0.3333, "noveltySignals": [ "rare slide types: analogy, vision", "duplicated ≥3×: product_demo", "non-canonical types: segmentation, testimonial" ], "primaryProfile": "yc", "secondaryScore": 0.3083, "secondaryProfile": "nextview" } }, "slides": [ { "page": 1, "type": "setup", "function": "front_matter", "imagePath": "https://imgproxy.kitesheet.com/MIwaGx0NlbQPDdslT_D9yFmGrcHzy6wD88LNkKKYI90/rs:fit:1200:1200:0/q:82/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy9iaS1hMGRjNDAyOWRmYTY5ODA0L3AwMDEuanBn", "rawType": "cover", "block": null, "metadata": { "slideType": "cover", "slideTypeCanon": { "name": "Cover", "slug": "cover", "status": "active", "canonId": "019de52d-05f2-729d-9f93-e0504f0a2410", "version": 1, "description": null }, "function": "front_matter", "functionCanon": { "name": "Front matter", "slug": "front_matter", "status": "active", "canonId": "019de52d-133d-73f0-9e26-201eda96b098", "version": 1, "description": null }, "density": "sparse", "densityScore": 6, "componentCount": 2, "textChars": 59, "nDataPoints": 0, "notes": null, "elementsJson": [ "headline_text", "subtitle_text" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 16:11:54.524+00", "seconds": 2.763, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5fed-74f2-a96e-ca1b59bf3a96/1", "deck": "/decks/019dd923-5fed-74f2-a96e-ca1b59bf3a96", "deckAnchor": "/decks/019dd923-5fed-74f2-a96e-ca1b59bf3a96#slide-1", "deckJson": "/decks/019dd923-5fed-74f2-a96e-ca1b59bf3a96.json" }, "components": [ { "bbox": { "h": 0.07, "w": 0.27, "x": 0.365, "y": 0.325 }, "kind": "title", "text": "GENIE AI", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:11:54.524+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "95729a00-dda1-49b6-bbe8-82de5bee590b", "parentComponentId": null }, { "bbox": { "h": 0.11, "w": 0.454, "x": 0.273, "y": 0.465 }, "kind": "title", "text": "The Legal Editor\nPowered by collective intelligence", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Subtitle", "slug": "subtitle", "status": "active", "canonId": "019de52c-fb09-739d-900c-815b0d9ac526", "version": 1, "description": null }, "framework": null }, "subkind": "subtitle", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:11:54.524+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "c0951c7a-cb0a-447f-9b98-fec3d865712a", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Slide recipe: Cover", "slug": "cover-slide", "status": "active", "bestFor": null, "canonId": "019df269-2a08-767d-9128-e7431e6fe8a3", "version": 1, "bodyDocId": "019df269-29e5-7738-b5fa-6892e5dc8e65", "description": "The first ten seconds. Build it deliberately.", "familyLabel": "slide-recipe", "categoryName": "Slide", "categorySlug": "slide" }, "agent": "designer", "layer": "slide", "agents": [ "designer" ], "matchId": "a55e5968-414f-4992-ad09-de81359174ec", "evidence": "GENIE AI", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.9, "extraction": { "at": "2026-07-16 22:35:56.121722+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 1, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [], "loops": [], "thumbSrc": "https://imgproxy.kitesheet.com/haGLR2TchK90T8fkMWcCt0jjI_ASgNvuba3OdpZvFGM/rs:fit:480:480:0/q:78/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy9iaS1hMGRjNDAyOWRmYTY5ODA0L3AwMDEuanBn", "imagePathAlt": "https://imgproxy.kitesheet.com/h-mt9j3H1PsqETuH9UvghKUILCMOZI3TCF5lKo3J0GM/rs:fit:1200:1200:0/q:82/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy9iaS1hMGRjNDAyOWRmYTY5ODA0L3AwMDEucG5n", "thumbSrcAlt": "https://imgproxy.kitesheet.com/YcUuq0OkClqnqQk5rjKB2pwFtDeHq-xVWm5zhzTRr_c/rs:fit:480:480:0/q:78/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy9iaS1hMGRjNDAyOWRmYTY5ODA0L3AwMDEucG5n" }, { "page": 2, "type": "resolution", "title": "Uses a 'before-after' framing by striking through Microsoft Word and highlighting Genie AI with a checkmark.", "function": "present_solution", "rawType": "solution", "block": null, "metadata": { "slideType": "solution", "slideTypeCanon": { "name": "Solution", "slug": "solution", "status": "active", "canonId": "019de52d-0eb5-72ff-8b70-ba70a4199282", "version": 1, "description": null }, "function": "present_solution", "functionCanon": { "name": "Present solution", "slug": "present_solution", "status": "active", "canonId": "019de52d-15b8-71da-bd23-2b767850cbce", "version": 1, "description": null }, "density": "sparse", "densityScore": 24, "componentCount": 3, "textChars": 270, "nDataPoints": 0, "notes": "Uses a 'before-after' framing by striking through Microsoft Word and highlighting Genie AI with a checkmark.", "elementsJson": [ "headline_text", "callout_box" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 16:11:54.14+00", "seconds": 2.221, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5fed-74f2-a96e-ca1b59bf3a96/2", "deck": "/decks/019dd923-5fed-74f2-a96e-ca1b59bf3a96", "deckAnchor": "/decks/019dd923-5fed-74f2-a96e-ca1b59bf3a96#slide-2", "deckJson": "/decks/019dd923-5fed-74f2-a96e-ca1b59bf3a96.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "We are the data entry platform for legal - gathering knowledge faster than law firms", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-27 15:22:01+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-c0ac-7341-b364-68b5d85ae810", "parentComponentId": null }, { "bbox": { "h": 0.4, "w": 0.6, "x": 0.2, "y": 0.3 }, "kind": "list", "text": "Developers: IDEs eg. VS Code; Business ops: Notion/Google Docs/Coda; Legal: Microsoft Word -> Genie AI", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Comparison list", "slug": "comparison", "status": "active", "canonId": "019de52c-fce7-733e-99d3-030a104727bf", "version": 1, "description": null }, "framework": null }, "subkind": "comparison", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:11:54.14+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "f282b4a8-690d-4edb-ab5a-546c9acf8fe2", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.8, "x": 0.1, "y": 0.05 }, "kind": "title", "text": "We are the data entry platform for legal - gathering knowledge faster than law firms", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:11:54.14+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "0dfd440f-da65-4a17-9588-3ffb97582d26", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Value Proposition Canvas", "slug": "value-proposition-canvas", "status": "active", "bestFor": null, "canonId": "019dd956-85a9-713f-8a1c-b6e5af5cc6cd", "version": 1, "bodyDocId": null, "description": "Mapping customer jobs/pains/gains to your value proposition", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "8b669a5c-ecbe-4b4a-80c0-1e81ab0ae529", "evidence": "We are the data entry platform for legal - gathering knowledge faster than law firms", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:35:56.18656+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 2, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [ { "matchId": "3a2c6a4b-317f-445e-b3d5-c4e2d1c06a9b", "evidence": "Striking through Microsoft Word and replacing it with Genie AI", "framework": null, "confidence": 1, "extraction": { "at": "2026-05-02 16:11:54.14+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 2, "frameworkName": "before-after-framing" } ], "arcBeats": [ { "to": 4, "arc": { "name": "The Sequoia Pitch", "slug": "sequoia-pitch", "status": "active", "bestFor": "Investor pitches, Series A/B, board presentations", "canonId": "019dd956-5e69-75a7-a0a4-895ac1bc0444", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Problem -> Solution -> Why Now -> Market Size -> Competition -> Product -> Business Model -> Team -> Financials -> The Ask", "description": null, "familyLabel": null }, "from": 2, "name": "Problem", "beatId": "e91ecb23-7213-405d-aa9e-8fc594563a33", "matchId": "2519a5c8-4970-45a4-a024-3fdc756aa36d", "beatType": { "name": "Problem", "slug": "sequoia-pitch-problem", "status": "active", "canonId": "019dd9b8-1ed4-767b-8e05-40e733bd2311", "version": 1, "description": null }, "evidence": "The deck presents the problem and market opportunity on pages 2-4", "position": 0, "isPrimaryArc": true, "parentBeatType": { "name": "Complication", "slug": "complication", "status": "active", "canonId": "019dd9b8-0275-7709-b2d6-4f77c3fc7579", "version": 1, "description": "The point in the narrative where the audience should feel discomfort. Required for argumentative arcs." }, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [ { "to": 13, "from": 2, "loop": { "name": "47_quick_win_big_bet", "slug": "47-quick-win-big-bet", "status": "active", "bestFor": "Transformation planning, 100-day plans, resource allocation", "canonId": "019dd956-790d-708d-983e-ef9bbc68f741", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Full List -> Quick Wins (Low effort, High impact) -> Big Bets (High effort, High impact) -> Sequenced Roadmap", "description": "Separate initiatives into immediate wins and longer-term strategic bets", "familyLabel": null }, "matchId": "369ead70-e49a-442a-acbd-add78f293efb", "evidence": "The deck presents Genie AI as a solution with traction and growth potential", "position": 1, "objective": "Can Genie AI provide a quick win and a big bet for investors?", "confidence": 0.6, "extraction": { "at": "2026-07-16 21:43:24.894582+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "locked": true }, { "page": 3, "type": "setup", "title": "The text uses a highlight effect on 'everyone to be a lawyer'.", "function": "inspire_vision", "rawType": "mission", "block": null, "metadata": { "slideType": "mission", "slideTypeCanon": { "name": "Mission", "slug": "mission", "status": "active", "canonId": "019de52d-0fce-7496-b34c-18fd6a6e3310", "version": 1, "description": null }, "function": "inspire_vision", "functionCanon": { "name": "Inspire vision", "slug": "inspire_vision", "status": "active", "canonId": "019de52d-16d0-7756-83de-376eeac6fa40", "version": 1, "description": null }, "density": "sparse", "densityScore": 5, "componentCount": 1, "textChars": 68, "nDataPoints": 0, "notes": "The text uses a highlight effect on 'everyone to be a lawyer'.", "elementsJson": [ "headline_text" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 16:11:53.723+00", "seconds": 1.756, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5fed-74f2-a96e-ca1b59bf3a96/3", "deck": "/decks/019dd923-5fed-74f2-a96e-ca1b59bf3a96", "deckAnchor": "/decks/019dd923-5fed-74f2-a96e-ca1b59bf3a96#slide-3", "deckJson": "/decks/019dd923-5fed-74f2-a96e-ca1b59bf3a96.json" }, "components": [ { "bbox": { "h": 0.2, "w": 0.62, "x": 0.19, "y": 0.4 }, "kind": "title", "text": "Enabling everyone to be a lawyer, and lawyers to become superlawyers", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Action title", "slug": "action-title", "status": "active", "canonId": "019de52c-fb31-734c-a0f5-a3935b73135d", "version": 1, "description": null }, "framework": null }, "subkind": "action-title", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:11:53.723+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "74f9010e-27f0-4a2e-9e53-1fdb45e58518", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 4, "arc": { "name": "The Sequoia Pitch", "slug": "sequoia-pitch", "status": "active", "bestFor": "Investor pitches, Series A/B, board presentations", "canonId": "019dd956-5e69-75a7-a0a4-895ac1bc0444", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Problem -> Solution -> Why Now -> Market Size -> Competition -> Product -> Business Model -> Team -> Financials -> The Ask", "description": null, "familyLabel": null }, "from": 2, "name": "Problem", "beatId": "e91ecb23-7213-405d-aa9e-8fc594563a33", "matchId": "2519a5c8-4970-45a4-a024-3fdc756aa36d", "beatType": { "name": "Problem", "slug": "sequoia-pitch-problem", "status": "active", "canonId": "019dd9b8-1ed4-767b-8e05-40e733bd2311", "version": 1, "description": null }, "evidence": "The deck presents the problem and market opportunity on pages 2-4", "position": 0, "isPrimaryArc": true, "parentBeatType": { "name": "Complication", "slug": "complication", "status": "active", "canonId": "019dd9b8-0275-7709-b2d6-4f77c3fc7579", "version": 1, "description": "The point in the narrative where the audience should feel discomfort. Required for argumentative arcs." }, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [ { "to": 13, "from": 2, "loop": { "name": "47_quick_win_big_bet", "slug": "47-quick-win-big-bet", "status": "active", "bestFor": "Transformation planning, 100-day plans, resource allocation", "canonId": "019dd956-790d-708d-983e-ef9bbc68f741", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Full List -> Quick Wins (Low effort, High impact) -> Big Bets (High effort, High impact) -> Sequenced Roadmap", "description": "Separate initiatives into immediate wins and longer-term strategic bets", "familyLabel": null }, "matchId": "369ead70-e49a-442a-acbd-add78f293efb", "evidence": "The deck presents Genie AI as a solution with traction and growth potential", "position": 1, "objective": "Can Genie AI provide a quick win and a big bet for investors?", "confidence": 0.6, "extraction": { "at": "2026-07-16 21:43:24.894582+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "locked": true }, { "page": 4, "type": "resolution", "title": "The slide uses a highlight box to emphasize the target segment (51-250 employees).", "function": "size_opportunity", "rawType": "market_sizing", "block": null, "metadata": { "slideType": "market_sizing", "slideTypeCanon": { "name": "Market sizing", "slug": "market_sizing", "status": "active", "canonId": "019de52d-08c8-756c-8664-733b73a7ee7b", "version": 1, "description": null }, "function": "size_opportunity", "functionCanon": { "name": "Size opportunity", "slug": "size_opportunity", "status": "active", "canonId": "019de52d-147b-7568-8828-a74a27697618", "version": 1, "description": null }, "density": "balanced", "densityScore": 48, "componentCount": 4, "textChars": 409, "nDataPoints": 12, "notes": "The slide uses a highlight box to emphasize the target segment (51-250 employees).", "elementsJson": [ "action_title", "data_table", "footnote" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 16:11:57.702+00", "seconds": 5.726, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5fed-74f2-a96e-ca1b59bf3a96/4", "deck": "/decks/019dd923-5fed-74f2-a96e-ca1b59bf3a96", "deckAnchor": "/decks/019dd923-5fed-74f2-a96e-ca1b59bf3a96#slide-4", "deckJson": "/decks/019dd923-5fed-74f2-a96e-ca1b59bf3a96.json" }, "components": [ { "bbox": null, "kind": "metric", "text": "Annual Spend (legal contracts): £189,567", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-27 15:21:59+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-c0ac-7341-b362-542fcb308a0c", "parentComponentId": null }, { "bbox": { "h": 0.02, "w": 0.34, "x": 0.33, "y": 0.86 }, "kind": "source-note", "text": "90 Genie customer responses in survey - data available upon request", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:11:57.702+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "2cf0b3a2-bc25-434f-bae5-2d058a7d168e", "parentComponentId": null }, { "bbox": { "h": 0.438, "w": 0.584, "x": 0.208, "y": 0.281 }, "kind": "table", "text": "Company size, Annual Spend (All of legal), Annual Spend (legal contracts), Data Security Restrictions & procurement cycles, 1-50, £108,728, £50,774, Low, 51-250, £330,000, £189,567, Medium, 250-1000, £342,500, £220,125, High", "attrs": null, "canon": { "kind": { "name": "Table", "slug": "table", "status": "active", "canonId": "019de52c-f9c8-7148-8119-eaac9594cd28", "version": 1, "description": "Tabular data layout." }, "tool": null, "subkind": { "name": "Data table", "slug": "data", "status": "active", "canonId": "019de52d-02d5-75b8-8abf-88e92bf63569", "version": 1, "description": null }, "framework": null }, "subkind": "data", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:11:57.702+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "d3eae7ee-8dcd-4d00-a4a5-485f7bfcd9a4", "parentComponentId": null }, { "bbox": { "h": 0.04, "w": 0.82, "x": 0.09, "y": 0.06 }, "kind": "title", "text": "We focus on midmarket businesses, who spend £189,567 a year on legal documents", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:11:57.702+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "3c0cc127-41b9-449e-bef8-1b6dae2c9a46", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [ { "matchId": "ed54c544-a779-4b09-8167-b3f43832cb4a", "evidence": "The slide segments the market by company size to identify a target customer profile.", "framework": null, "confidence": 0.8, "extraction": { "at": "2026-05-02 16:11:57.702+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 4, "frameworkName": "market-segmentation-pyramid" } ], "arcBeats": [ { "to": 4, "arc": { "name": "The Sequoia Pitch", "slug": "sequoia-pitch", "status": "active", "bestFor": "Investor pitches, Series A/B, board presentations", "canonId": "019dd956-5e69-75a7-a0a4-895ac1bc0444", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Problem -> Solution -> Why Now -> Market Size -> Competition -> Product -> Business Model -> Team -> Financials -> The Ask", "description": null, "familyLabel": null }, "from": 2, "name": "Problem", "beatId": "e91ecb23-7213-405d-aa9e-8fc594563a33", "matchId": "2519a5c8-4970-45a4-a024-3fdc756aa36d", "beatType": { "name": "Problem", "slug": "sequoia-pitch-problem", "status": "active", "canonId": "019dd9b8-1ed4-767b-8e05-40e733bd2311", "version": 1, "description": null }, "evidence": "The deck presents the problem and market opportunity on pages 2-4", "position": 0, "isPrimaryArc": true, "parentBeatType": { "name": "Complication", "slug": "complication", "status": "active", "canonId": "019dd9b8-0275-7709-b2d6-4f77c3fc7579", "version": 1, "description": "The point in the narrative where the audience should feel discomfort. Required for argumentative arcs." }, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [ { "to": 9, "from": 4, "loop": { "name": "27_cost_of_inaction", "slug": "27-cost-of-inaction", "status": "active", "bestFor": "Urgent budget requests, compliance, risk mitigation", "canonId": "019dd956-70d1-7395-a15b-857ba858b394", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Status Quo -> The Hidden Costs Accumulating -> The Future State of Inaction -> The Tipping Point", "description": "Quantify what happens if the audience does nothing", "familyLabel": null }, "matchId": "d83c27f1-ffd9-4649-8b34-f425cb3db217", "evidence": "The deck implies the cost of inaction by highlighting the inefficiency of current legal document processing", "position": 0, "objective": "What is the cost of not using Genie AI?", "confidence": 0.6, "extraction": { "at": "2026-07-16 21:43:24.852221+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } }, { "to": 13, "from": 2, "loop": { "name": "47_quick_win_big_bet", "slug": "47-quick-win-big-bet", "status": "active", "bestFor": "Transformation planning, 100-day plans, resource allocation", "canonId": "019dd956-790d-708d-983e-ef9bbc68f741", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Full List -> Quick Wins (Low effort, High impact) -> Big Bets (High effort, High impact) -> Sequenced Roadmap", "description": "Separate initiatives into immediate wins and longer-term strategic bets", "familyLabel": null }, "matchId": "369ead70-e49a-442a-acbd-add78f293efb", "evidence": "The deck presents Genie AI as a solution with traction and growth potential", "position": 1, "objective": "Can Genie AI provide a quick win and a big bet for investors?", "confidence": 0.6, "extraction": { "at": "2026-07-16 21:43:24.894582+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "locked": true }, { "page": 5, "type": "setup", "title": "The slide shows a UI screenshot of a software product called 'Genie'.", "function": "present_solution", "rawType": "product_demo", "block": null, "metadata": { "slideType": "product_demo", "slideTypeCanon": { "name": "Product demo", "slug": "product_demo", "status": "active", "canonId": "019de52d-0f06-7288-84f2-7568c1020fce", "version": 1, "description": null }, "function": "present_solution", "functionCanon": { "name": "Present solution", "slug": "present_solution", "status": "active", "canonId": "019de52d-15b8-71da-bd23-2b767850cbce", "version": 1, "description": null }, "density": "balanced", "densityScore": 27, "componentCount": 4, "textChars": 194, "nDataPoints": 0, "notes": "The slide shows a UI screenshot of a software product called 'Genie'.", "elementsJson": [ "screenshot" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 16:11:56.519+00", "seconds": 4.408, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5fed-74f2-a96e-ca1b59bf3a96/5", "deck": "/decks/019dd923-5fed-74f2-a96e-ca1b59bf3a96", "deckAnchor": "/decks/019dd923-5fed-74f2-a96e-ca1b59bf3a96#slide-5", "deckJson": "/decks/019dd923-5fed-74f2-a96e-ca1b59bf3a96.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "Genie’s AI assistant creates and customises any contract to your needs", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-27 15:22:01+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-c0ac-7341-b364-1a3d6552674d", "parentComponentId": null }, { "bbox": { "h": 0.94, "w": 0.7, "x": 0.29, "y": 0.03 }, "kind": "image", "text": "UI screenshot of Genie AI assistant interface", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Screenshot", "slug": "screenshot", "status": "active", "canonId": "019de52c-fd87-7509-8391-3d79fb339379", "version": 1, "description": null }, "framework": null }, "subkind": "screenshot", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:11:56.519+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "b6b0e000-292e-403f-bb46-130b4ea412e8", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.25, "x": 0.03, "y": 0.48 }, "kind": "paragraph", "text": "Genie's AI assistant creates and customises any contract to your needs", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:11:56.519+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "44e11104-bb38-4213-abee-a4df90297d24", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.15, "x": 0.03, "y": 0.38 }, "kind": "title", "text": "AI Create", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:11:56.519+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "0f46c614-97a6-4229-909b-9f5792974497", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 8, "arc": { "name": "The Sequoia Pitch", "slug": "sequoia-pitch", "status": "active", "bestFor": "Investor pitches, Series A/B, board presentations", "canonId": "019dd956-5e69-75a7-a0a4-895ac1bc0444", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Problem -> Solution -> Why Now -> Market Size -> Competition -> Product -> Business Model -> Team -> Financials -> The Ask", "description": null, "familyLabel": null }, "from": 5, "name": "Product", "beatId": "8c0de84b-23fa-4d5c-897e-193164cd2baa", "matchId": "2519a5c8-4970-45a4-a024-3fdc756aa36d", "beatType": { "name": "Product", "slug": "sequoia-pitch-product", "status": "active", "canonId": "019dd9b8-2259-77df-a937-8b665c8066fe", "version": 1, "description": null }, "evidence": "The deck showcases the product features on pages 5-8", "position": 1, "isPrimaryArc": true, "parentBeatType": { "name": "Evidence", "slug": "evidence", "status": "active", "canonId": "019dd9b8-03f9-772a-b84a-4f07b415b77a", "version": 1, "description": "A dedicated proof beat exists in only ~4 arcs (Gambit, Sequoia, AIDA, Monroes). Other arcs embed evidence inline within development." }, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [ { "to": 9, "from": 4, "loop": { "name": "27_cost_of_inaction", "slug": "27-cost-of-inaction", "status": "active", "bestFor": "Urgent budget requests, compliance, risk mitigation", "canonId": "019dd956-70d1-7395-a15b-857ba858b394", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Status Quo -> The Hidden Costs Accumulating -> The Future State of Inaction -> The Tipping Point", "description": "Quantify what happens if the audience does nothing", "familyLabel": null }, "matchId": "d83c27f1-ffd9-4649-8b34-f425cb3db217", "evidence": "The deck implies the cost of inaction by highlighting the inefficiency of current legal document processing", "position": 0, "objective": "What is the cost of not using Genie AI?", "confidence": 0.6, "extraction": { "at": "2026-07-16 21:43:24.852221+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } }, { "to": 13, "from": 2, "loop": { "name": "47_quick_win_big_bet", "slug": "47-quick-win-big-bet", "status": "active", "bestFor": "Transformation planning, 100-day plans, resource allocation", "canonId": "019dd956-790d-708d-983e-ef9bbc68f741", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Full List -> Quick Wins (Low effort, High impact) -> Big Bets (High effort, High impact) -> Sequenced Roadmap", "description": "Separate initiatives into immediate wins and longer-term strategic bets", "familyLabel": null }, "matchId": "369ead70-e49a-442a-acbd-add78f293efb", "evidence": "The deck presents Genie AI as a solution with traction and growth potential", "position": 1, "objective": "Can Genie AI provide a quick win and a big bet for investors?", "confidence": 0.6, "extraction": { "at": "2026-07-16 21:43:24.894582+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "locked": true }, { "page": 6, "type": "setup", "title": "The slide features a screenshot of a software interface with a chat sidebar on the left and a document view on the right.", "function": "present_solution", "rawType": "product_demo", "block": null, "metadata": { "slideType": "product_demo", "slideTypeCanon": { "name": "Product demo", "slug": "product_demo", "status": "active", "canonId": "019de52d-0f06-7288-84f2-7568c1020fce", "version": 1, "description": null }, "function": "present_solution", "functionCanon": { "name": "Present solution", "slug": "present_solution", "status": "active", "canonId": "019de52d-15b8-71da-bd23-2b767850cbce", "version": 1, "description": null }, "density": "sparse", "densityScore": 24, "componentCount": 4, "textChars": 138, "nDataPoints": 0, "notes": "The slide features a screenshot of a software interface with a chat sidebar on the left and a document view on the right.", "elementsJson": [ "screenshot" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 16:11:59.085+00", "seconds": 6.332, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5fed-74f2-a96e-ca1b59bf3a96/6", "deck": "/decks/019dd923-5fed-74f2-a96e-ca1b59bf3a96", "deckAnchor": "/decks/019dd923-5fed-74f2-a96e-ca1b59bf3a96#slide-6", "deckJson": "/decks/019dd923-5fed-74f2-a96e-ca1b59bf3a96.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "Ask any question about your document", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-27 15:21:59+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-c0ac-7341-b362-f9c35514d042", "parentComponentId": null }, { "bbox": { "h": 0.96, "w": 0.71, "x": 0.29, "y": 0.04 }, "kind": "image", "text": "Product interface showing Genie AI chat and document editor", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Screenshot", "slug": "screenshot", "status": "active", "canonId": "019de52c-fd87-7509-8391-3d79fb339379", "version": 1, "description": null }, "framework": null }, "subkind": "screenshot", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:11:59.085+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "9b792edc-446d-421a-b24b-b933da775411", "parentComponentId": null }, { "bbox": { "h": 0.07, "w": 0.26, "x": 0.03, "y": 0.5 }, "kind": "title", "text": "Ask any question about your document", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Action title", "slug": "action-title", "status": "active", "canonId": "019de52c-fb31-734c-a0f5-a3935b73135d", "version": 1, "description": null }, "framework": null }, "subkind": "action-title", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:11:59.085+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "04e6cd4e-5fb0-4000-a4b4-5cfb7105656a", "parentComponentId": null }, { "bbox": { "h": 0.04, "w": 0.11, "x": 0.03, "y": 0.39 }, "kind": "title", "text": "AI Chat", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:11:59.085+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "cfd8064c-dc00-4af8-9ea3-6b989f25947f", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 8, "arc": { "name": "The Sequoia Pitch", "slug": "sequoia-pitch", "status": "active", "bestFor": "Investor pitches, Series A/B, board presentations", "canonId": "019dd956-5e69-75a7-a0a4-895ac1bc0444", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Problem -> Solution -> Why Now -> Market Size -> Competition -> Product -> Business Model -> Team -> Financials -> The Ask", "description": null, "familyLabel": null }, "from": 5, "name": "Product", "beatId": "8c0de84b-23fa-4d5c-897e-193164cd2baa", "matchId": "2519a5c8-4970-45a4-a024-3fdc756aa36d", "beatType": { "name": "Product", "slug": "sequoia-pitch-product", "status": "active", "canonId": "019dd9b8-2259-77df-a937-8b665c8066fe", "version": 1, "description": null }, "evidence": "The deck showcases the product features on pages 5-8", "position": 1, "isPrimaryArc": true, "parentBeatType": { "name": "Evidence", "slug": "evidence", "status": "active", "canonId": "019dd9b8-03f9-772a-b84a-4f07b415b77a", "version": 1, "description": "A dedicated proof beat exists in only ~4 arcs (Gambit, Sequoia, AIDA, Monroes). Other arcs embed evidence inline within development." }, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [ { "to": 9, "from": 4, "loop": { "name": "27_cost_of_inaction", "slug": "27-cost-of-inaction", "status": "active", "bestFor": "Urgent budget requests, compliance, risk mitigation", "canonId": "019dd956-70d1-7395-a15b-857ba858b394", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Status Quo -> The Hidden Costs Accumulating -> The Future State of Inaction -> The Tipping Point", "description": "Quantify what happens if the audience does nothing", "familyLabel": null }, "matchId": "d83c27f1-ffd9-4649-8b34-f425cb3db217", "evidence": "The deck implies the cost of inaction by highlighting the inefficiency of current legal document processing", "position": 0, "objective": "What is the cost of not using Genie AI?", "confidence": 0.6, "extraction": { "at": "2026-07-16 21:43:24.852221+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } }, { "to": 13, "from": 2, "loop": { "name": "47_quick_win_big_bet", "slug": "47-quick-win-big-bet", "status": "active", "bestFor": "Transformation planning, 100-day plans, resource allocation", "canonId": "019dd956-790d-708d-983e-ef9bbc68f741", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Full List -> Quick Wins (Low effort, High impact) -> Big Bets (High effort, High impact) -> Sequenced Roadmap", "description": "Separate initiatives into immediate wins and longer-term strategic bets", "familyLabel": null }, "matchId": "369ead70-e49a-442a-acbd-add78f293efb", "evidence": "The deck presents Genie AI as a solution with traction and growth potential", "position": 1, "objective": "Can Genie AI provide a quick win and a big bet for investors?", "confidence": 0.6, "extraction": { "at": "2026-07-16 21:43:24.894582+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "locked": true }, { "page": 7, "type": "setup", "function": "present_solution", "rawType": "product_demo", "block": null, "metadata": { "slideType": "product_demo", "slideTypeCanon": { "name": "Product demo", "slug": "product_demo", "status": "active", "canonId": "019de52d-0f06-7288-84f2-7568c1020fce", "version": 1, "description": null }, "function": "present_solution", "functionCanon": { "name": "Present solution", "slug": "present_solution", "status": "active", "canonId": "019de52d-15b8-71da-bd23-2b767850cbce", "version": 1, "description": null }, "density": "balanced", "densityScore": 31, "componentCount": 4, "textChars": 178, "nDataPoints": 1, "notes": null, "elementsJson": [ "headline_text", "screenshot" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 16:11:54.851+00", "seconds": 2.09, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5fed-74f2-a96e-ca1b59bf3a96/7", "deck": "/decks/019dd923-5fed-74f2-a96e-ca1b59bf3a96", "deckAnchor": "/decks/019dd923-5fed-74f2-a96e-ca1b59bf3a96#slide-7", "deckJson": "/decks/019dd923-5fed-74f2-a96e-ca1b59bf3a96.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "Or start from 1000s of tried and tested templates", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-27 15:21:59+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-c0ac-7341-b362-b6366a661e2f", "parentComponentId": null }, { "bbox": { "h": 0.72, "w": 0.82, "x": 0.09, "y": 0.24 }, "kind": "image", "text": "Genie AI platform interface showing template library", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Screenshot", "slug": "screenshot", "status": "active", "canonId": "019de52c-fd87-7509-8391-3d79fb339379", "version": 1, "description": null }, "framework": null }, "subkind": "screenshot", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:11:54.851+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "4cf93909-0652-42d3-a662-e649c663f7fa", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.43, "x": 0.03, "y": 0.17 }, "kind": "paragraph", "text": "Or start from 1000s of tried and tested templates", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:11:54.851+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "a05c98c5-5294-46b9-8a26-e6400f47fee2", "parentComponentId": null }, { "bbox": { "h": 0.04, "w": 0.33, "x": 0.03, "y": 0.06 }, "kind": "title", "text": "AI contract & clause library", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:11:54.851+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "eb5e6325-6a43-474b-b186-277ea59b2620", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 8, "arc": { "name": "The Sequoia Pitch", "slug": "sequoia-pitch", "status": "active", "bestFor": "Investor pitches, Series A/B, board presentations", "canonId": "019dd956-5e69-75a7-a0a4-895ac1bc0444", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Problem -> Solution -> Why Now -> Market Size -> Competition -> Product -> Business Model -> Team -> Financials -> The Ask", "description": null, "familyLabel": null }, "from": 5, "name": "Product", "beatId": "8c0de84b-23fa-4d5c-897e-193164cd2baa", "matchId": "2519a5c8-4970-45a4-a024-3fdc756aa36d", "beatType": { "name": "Product", "slug": "sequoia-pitch-product", "status": "active", "canonId": "019dd9b8-2259-77df-a937-8b665c8066fe", "version": 1, "description": null }, "evidence": "The deck showcases the product features on pages 5-8", "position": 1, "isPrimaryArc": true, "parentBeatType": { "name": "Evidence", "slug": "evidence", "status": "active", "canonId": "019dd9b8-03f9-772a-b84a-4f07b415b77a", "version": 1, "description": "A dedicated proof beat exists in only ~4 arcs (Gambit, Sequoia, AIDA, Monroes). Other arcs embed evidence inline within development." }, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [ { "to": 9, "from": 4, "loop": { "name": "27_cost_of_inaction", "slug": "27-cost-of-inaction", "status": "active", "bestFor": "Urgent budget requests, compliance, risk mitigation", "canonId": "019dd956-70d1-7395-a15b-857ba858b394", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Status Quo -> The Hidden Costs Accumulating -> The Future State of Inaction -> The Tipping Point", "description": "Quantify what happens if the audience does nothing", "familyLabel": null }, "matchId": "d83c27f1-ffd9-4649-8b34-f425cb3db217", "evidence": "The deck implies the cost of inaction by highlighting the inefficiency of current legal document processing", "position": 0, "objective": "What is the cost of not using Genie AI?", "confidence": 0.6, "extraction": { "at": "2026-07-16 21:43:24.852221+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } }, { "to": 13, "from": 2, "loop": { "name": "47_quick_win_big_bet", "slug": "47-quick-win-big-bet", "status": "active", "bestFor": "Transformation planning, 100-day plans, resource allocation", "canonId": "019dd956-790d-708d-983e-ef9bbc68f741", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Full List -> Quick Wins (Low effort, High impact) -> Big Bets (High effort, High impact) -> Sequenced Roadmap", "description": "Separate initiatives into immediate wins and longer-term strategic bets", "familyLabel": null }, "matchId": "369ead70-e49a-442a-acbd-add78f293efb", "evidence": "The deck presents Genie AI as a solution with traction and growth potential", "position": 1, "objective": "Can Genie AI provide a quick win and a big bet for investors?", "confidence": 0.6, "extraction": { "at": "2026-07-16 21:43:24.894582+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "locked": true }, { "page": 8, "type": "setup", "title": "The slide shows a side-by-side view of a chat-based AI assistant and a legal document.", "function": "present_solution", "rawType": "product_demo", "block": null, "metadata": { "slideType": "product_demo", "slideTypeCanon": { "name": "Product demo", "slug": "product_demo", "status": "active", "canonId": "019de52d-0f06-7288-84f2-7568c1020fce", "version": 1, "description": null }, "function": "present_solution", "functionCanon": { "name": "Present solution", "slug": "present_solution", "status": "active", "canonId": "019de52d-15b8-71da-bd23-2b767850cbce", "version": 1, "description": null }, "density": "balanced", "densityScore": 32, "componentCount": 4, "textChars": 282, "nDataPoints": 0, "notes": "The slide shows a side-by-side view of a chat-based AI assistant and a legal document.", "elementsJson": [ "headline_text", "paragraph", "screenshot" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 16:11:55.748+00", "seconds": 2.754, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5fed-74f2-a96e-ca1b59bf3a96/8", "deck": "/decks/019dd923-5fed-74f2-a96e-ca1b59bf3a96", "deckAnchor": "/decks/019dd923-5fed-74f2-a96e-ca1b59bf3a96#slide-8", "deckJson": "/decks/019dd923-5fed-74f2-a96e-ca1b59bf3a96.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "Our AI reviews documents, highlighting risks and suggesting alternatives, helping you trust the document.", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-27 15:21:59+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-c0ac-7341-b363-49da93beab33", "parentComponentId": null }, { "bbox": { "h": 0.94, "w": 0.64, "x": 0.35, "y": 0.03 }, "kind": "image", "text": "Product interface showing AI chat assistant and document viewer", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Screenshot", "slug": "screenshot", "status": "active", "canonId": "019de52c-fd87-7509-8391-3d79fb339379", "version": 1, "description": null }, "framework": null }, "subkind": "screenshot", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:11:55.748+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "f2335f4c-7fa0-4e79-8a73-eff92994320e", "parentComponentId": null }, { "bbox": { "h": 0.12, "w": 0.29, "x": 0.03, "y": 0.48 }, "kind": "paragraph", "text": "Our AI reviews documents, highlighting risks and suggesting alternatives, helping you trust the document.", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:11:55.748+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "88611ce1-599c-46a6-af6c-11b7769f6cb6", "parentComponentId": null }, { "bbox": { "h": 0.04, "w": 0.14, "x": 0.03, "y": 0.37 }, "kind": "title", "text": "AI Review", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:11:55.748+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "26ed6be2-e77a-41ee-bcf4-349781c286be", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Core Message Extraction", "slug": "core-message-extraction", "status": "active", "bestFor": "Any slide that carries an argument or finding. The diagnostic: if the slide has a chart on it, it needs a core message. Run extraction whenever the current title is a topic (Q3 performance, Customer satisfaction) rather than a claim, or when a reader could reasonably draw more than one conclusion from the visible evidence.", "canonId": "019dd956-bc71-707d-8867-1b2e810175cf", "version": 1, "bodyDocId": "f85613cb-4b77-462f-bfe6-3b862516e1a6", "description": "The discipline of distilling raw analysis, data, or content into a single declarative sentence — the slide's core message — that the audience would walk away with if they remembered nothing else. Process, not artefact: extraction questions run on the raw content until one sentence falls out.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "82396277-be78-4244-a11c-a2d8eefc7a32", "evidence": "Our AI reviews documents, highlighting risks and suggesting alternatives, helping you trust the document.", "pageRefs": null, "priority": null, "whenToUse": "Any slide that carries an argument or finding. The diagnostic: if the slide has a chart on it, it needs a core message. Run extraction whenever the current title is a topic (Q3 performance, Customer satisfaction) rather than a claim, or when a reader could reasonably draw more than one conclusion from the visible evidence.", "confidence": 0.7, "extraction": { "at": "2026-07-16 22:35:47.70537+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 8, "whyItWorks": "Solves the two failure modes of slide writing simultaneously: the topic title (which outsources interpretation to the audience and produces three different conclusions in three different heads) and the multi-thesis stapler (which exceeds working memory and gets remembered as fragments). Aligns with how readers actually consume decks — Heath & Heath's Find the Core, the journalist's nut graf, and Minto's governing thought all converge on the same cognitive economics.", "antipattern": "Topic titles disguised as core messages (Customer satisfaction, no verb, no stake); multi-thesis sentences stapled with and; hedged sentences (may show signs of possible softening); chart-caption titles (Revenue fell 4%) that restate what the chart already shows instead of naming the so-what; meta-commentary (this slide explores...) that describes the slide rather than concluding it.", "cardinality": null, "narrativePurpose": "Forces the slide author to do the interpretive work before the slide ships, so the audience does not have to do it during the meeting. Wins the WYSIATI battle on purpose — the loudest fragment on the page becomes the author's chosen sentence rather than whichever chart label happens to be largest." }, { "tool": { "name": "Storytelling: audience calibration", "slug": "audience", "status": "active", "bestFor": null, "canonId": "019df269-23ea-723a-87c0-af1d78d702d2", "version": 1, "bodyDocId": "019df269-23c5-72ec-8b94-78fc1da7b656", "description": "The same thesis, written for four different audiences, produces four", "familyLabel": "narrative-block", "categoryName": "Narrative & Transformation", "categorySlug": "narrative-transformation" }, "agent": "storyteller", "layer": "slide", "agents": [ "storyteller" ], "matchId": "02d2b1d7-2ba9-4dae-864b-c66a64c3d14d", "evidence": "Our AI reviews documents, highlighting risks and suggesting alternatives, helping you trust the document.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:35:47.671725+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 8, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 8, "arc": { "name": "The Sequoia Pitch", "slug": "sequoia-pitch", "status": "active", "bestFor": "Investor pitches, Series A/B, board presentations", "canonId": "019dd956-5e69-75a7-a0a4-895ac1bc0444", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Problem -> Solution -> Why Now -> Market Size -> Competition -> Product -> Business Model -> Team -> Financials -> The Ask", "description": null, "familyLabel": null }, "from": 5, "name": "Product", "beatId": "8c0de84b-23fa-4d5c-897e-193164cd2baa", "matchId": "2519a5c8-4970-45a4-a024-3fdc756aa36d", "beatType": { "name": "Product", "slug": "sequoia-pitch-product", "status": "active", "canonId": "019dd9b8-2259-77df-a937-8b665c8066fe", "version": 1, "description": null }, "evidence": "The deck showcases the product features on pages 5-8", "position": 1, "isPrimaryArc": true, "parentBeatType": { "name": "Evidence", "slug": "evidence", "status": "active", "canonId": "019dd9b8-03f9-772a-b84a-4f07b415b77a", "version": 1, "description": "A dedicated proof beat exists in only ~4 arcs (Gambit, Sequoia, AIDA, Monroes). Other arcs embed evidence inline within development." }, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [ { "to": 9, "from": 4, "loop": { "name": "27_cost_of_inaction", "slug": "27-cost-of-inaction", "status": "active", "bestFor": "Urgent budget requests, compliance, risk mitigation", "canonId": "019dd956-70d1-7395-a15b-857ba858b394", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Status Quo -> The Hidden Costs Accumulating -> The Future State of Inaction -> The Tipping Point", "description": "Quantify what happens if the audience does nothing", "familyLabel": null }, "matchId": "d83c27f1-ffd9-4649-8b34-f425cb3db217", "evidence": "The deck implies the cost of inaction by highlighting the inefficiency of current legal document processing", "position": 0, "objective": "What is the cost of not using Genie AI?", "confidence": 0.6, "extraction": { "at": "2026-07-16 21:43:24.852221+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } }, { "to": 13, "from": 2, "loop": { "name": "47_quick_win_big_bet", "slug": "47-quick-win-big-bet", "status": "active", "bestFor": "Transformation planning, 100-day plans, resource allocation", "canonId": "019dd956-790d-708d-983e-ef9bbc68f741", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Full List -> Quick Wins (Low effort, High impact) -> Big Bets (High effort, High impact) -> Sequenced Roadmap", "description": "Separate initiatives into immediate wins and longer-term strategic bets", "familyLabel": null }, "matchId": "369ead70-e49a-442a-acbd-add78f293efb", "evidence": "The deck presents Genie AI as a solution with traction and growth potential", "position": 1, "objective": "Can Genie AI provide a quick win and a big bet for investors?", "confidence": 0.6, "extraction": { "at": "2026-07-16 21:43:24.894582+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "locked": true }, { "page": 9, "type": "evidence", "title": "The chart plots percentage of thumbs up against the number of lawyers rating the features.", "function": "show_traction", "rawType": "traction", "block": null, "metadata": { "slideType": "traction", "slideTypeCanon": { "name": "Traction", "slug": "traction", "status": "active", "canonId": "019de52d-0edd-72ab-820f-3ebc71a9c542", "version": 1, "description": null }, "function": "show_traction", "functionCanon": { "name": "Show traction", "slug": "show_traction", "status": "active", "canonId": "019de52d-16a8-756a-9b38-a7d35420561d", "version": 1, "description": null }, "density": "sparse", "densityScore": 23, "componentCount": 3, "textChars": 169, "nDataPoints": 2, "notes": "The chart plots percentage of thumbs up against the number of lawyers rating the features.", "elementsJson": [ "action_title", "line_chart" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 16:12:07.437+00", "seconds": 14.439, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5fed-74f2-a96e-ca1b59bf3a96/9", "deck": "/decks/019dd923-5fed-74f2-a96e-ca1b59bf3a96", "deckAnchor": "/decks/019dd923-5fed-74f2-a96e-ca1b59bf3a96#slide-9", "deckJson": "/decks/019dd923-5fed-74f2-a96e-ca1b59bf3a96.json" }, "components": [ { "bbox": { "h": 0.65, "w": 0.64, "x": 0.18, "y": 0.18 }, "kind": "chart", "text": "Line chart showing AI Review and AI Chat performance over time/user count", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Line chart", "slug": "line", "status": "active", "canonId": "019de52c-ff62-778f-8f6c-a952ceae8677", "version": 1, "description": null }, "framework": null }, "subkind": "line", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:12:07.437+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "be8f82bd-223c-4c9b-a743-3c52255c7283", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Accuracy rating: 94%", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-27 15:21:59+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-c0ac-7341-b363-0c91141b6bf5", "parentComponentId": null }, { "bbox": { "h": 0.04, "w": 0.78, "x": 0.11, "y": 0.06 }, "kind": "title", "text": "174 lawyers using Genie have rated our AI algorithms as 92% and 94% accurate", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:12:07.437+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "a60b890e-5c4f-41c2-a6b5-00ca27102769", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Data Story Arc", "slug": "data-story-arc", "status": "active", "bestFor": null, "canonId": "019dd956-9c30-728e-b974-d3fb123dcf5a", "version": 1, "bodyDocId": null, "description": "Context → Conflict → Insight → Implication structure for data narratives", "familyLabel": null, "categoryName": "Loop", "categorySlug": "loop" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "605d4fa6-fe3c-4e99-83bb-e890ba7af028", "evidence": "Line chart showing AI Review and AI Chat performance over time/user count", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:35:47.801861+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 9, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Social Proof", "slug": "social-proof", "status": "active", "bestFor": null, "canonId": "019dd956-990d-7620-82b3-6dd286f34568", "version": 1, "bodyDocId": null, "description": "People adapt behavior based on what others do - show adoption and testimonials", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "eeda9820-f13b-442c-9a12-d51570f9b0a9", "evidence": "174 lawyers using Genie have rated our AI algorithms as 92% and 94% accurate", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.8, "extraction": { "at": "2026-07-16 22:35:47.770277+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 9, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 11, "arc": { "name": "The Sequoia Pitch", "slug": "sequoia-pitch", "status": "active", "bestFor": "Investor pitches, Series A/B, board presentations", "canonId": "019dd956-5e69-75a7-a0a4-895ac1bc0444", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Problem -> Solution -> Why Now -> Market Size -> Competition -> Product -> Business Model -> Team -> Financials -> The Ask", "description": null, "familyLabel": null }, "from": 9, "name": "Traction", "beatId": "0451170f-5049-4cf5-a7ce-454d57b2478b", "matchId": "2519a5c8-4970-45a4-a024-3fdc756aa36d", "beatType": null, "evidence": "The deck presents traction and growth metrics on pages 9-11", "position": 2, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [ { "to": 9, "from": 4, "loop": { "name": "27_cost_of_inaction", "slug": "27-cost-of-inaction", "status": "active", "bestFor": "Urgent budget requests, compliance, risk mitigation", "canonId": "019dd956-70d1-7395-a15b-857ba858b394", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Status Quo -> The Hidden Costs Accumulating -> The Future State of Inaction -> The Tipping Point", "description": "Quantify what happens if the audience does nothing", "familyLabel": null }, "matchId": "d83c27f1-ffd9-4649-8b34-f425cb3db217", "evidence": "The deck implies the cost of inaction by highlighting the inefficiency of current legal document processing", "position": 0, "objective": "What is the cost of not using Genie AI?", "confidence": 0.6, "extraction": { "at": "2026-07-16 21:43:24.852221+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } }, { "to": 13, "from": 2, "loop": { "name": "47_quick_win_big_bet", "slug": "47-quick-win-big-bet", "status": "active", "bestFor": "Transformation planning, 100-day plans, resource allocation", "canonId": "019dd956-790d-708d-983e-ef9bbc68f741", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Full List -> Quick Wins (Low effort, High impact) -> Big Bets (High effort, High impact) -> Sequenced Roadmap", "description": "Separate initiatives into immediate wins and longer-term strategic bets", "familyLabel": null }, "matchId": "369ead70-e49a-442a-acbd-add78f293efb", "evidence": "The deck presents Genie AI as a solution with traction and growth potential", "position": 1, "objective": "Can Genie AI provide a quick win and a big bet for investors?", "confidence": 0.6, "extraction": { "at": "2026-07-16 21:43:24.894582+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "locked": true }, { "page": 10, "type": "resolution", "title": "The screenshot shows a 'Software License Agreement' being edited with comments from 'Sherlock' and 'Ana', illustrating real-time collaboration.", "function": "present_solution", "rawType": "solution", "block": null, "metadata": { "slideType": "solution", "slideTypeCanon": { "name": "Solution", "slug": "solution", "status": "active", "canonId": "019de52d-0eb5-72ff-8b70-ba70a4199282", "version": 1, "description": null }, "function": "present_solution", "functionCanon": { "name": "Present solution", "slug": "present_solution", "status": "active", "canonId": "019de52d-15b8-71da-bd23-2b767850cbce", "version": 1, "description": null }, "density": "balanced", "densityScore": 26, "componentCount": 3, "textChars": 309, "nDataPoints": 0, "notes": "The screenshot shows a 'Software License Agreement' being edited with comments from 'Sherlock' and 'Ana', illustrating real-time collaboration.", "elementsJson": [ "action_title", "screenshot", "bullet_list" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 16:11:55.636+00", "seconds": 2.638, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5fed-74f2-a96e-ca1b59bf3a96/10", "deck": "/decks/019dd923-5fed-74f2-a96e-ca1b59bf3a96", "deckAnchor": "/decks/019dd923-5fed-74f2-a96e-ca1b59bf3a96#slide-10", "deckJson": "/decks/019dd923-5fed-74f2-a96e-ca1b59bf3a96.json" }, "components": [ { "bbox": { "h": 0.93, "w": 0.68, "x": 0, "y": 0.143 }, "kind": "image", "text": "Platform interface showing a document with comments and user avatars", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Screenshot", "slug": "screenshot", "status": "active", "canonId": "019de52c-fd87-7509-8391-3d79fb339379", "version": 1, "description": null }, "framework": null }, "subkind": "screenshot", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:11:55.636+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "dba79c79-1d3c-4950-907a-bb809eb5c9f0", "parentComponentId": null }, { "bbox": { "h": 0.4, "w": 0.25, "x": 0.72, "y": 0.415 }, "kind": "list", "text": "Internal doc sharing\nCounterparty doc sharing\nReal time collaboration\nUnique privacy-aware sharing\nComments & replies\nPost-raise: on-platform negotiation\nPost-raise: e-sign", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:11:55.636+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "dc78fae1-6e79-4733-add6-d6a85ec75fb5", "parentComponentId": null }, { "bbox": { "h": 0.045, "w": 0.664, "x": 0.168, "y": 0.055 }, "kind": "title", "text": "And it’s inherently viral through new ways to collaborate & negotiate", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:11:55.636+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "c467c2b6-5f00-4a95-81d6-1eb29434c46b", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "List presentation", "slug": "list-presentation", "status": "active", "bestFor": null, "canonId": "019dd9e1-4ef7-777d-ba68-9074c2b3bcf1", "version": 1, "bodyDocId": null, "description": "Bulleted, numbered, or checklist enumerations.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "2cc97702-09e1-4b9d-be71-f270db88dcbd", "evidence": "Internal doc sharing\nCounterparty doc sharing\nReal time collaboration\nUnique privacy-aware sharing\nComments & replies\nPost-raise: on-platform negotiation\nPost-raise: e-sign", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.8, "extraction": { "at": "2026-07-16 22:35:47.86695+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 10, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 11, "arc": { "name": "The Sequoia Pitch", "slug": "sequoia-pitch", "status": "active", "bestFor": "Investor pitches, Series A/B, board presentations", "canonId": "019dd956-5e69-75a7-a0a4-895ac1bc0444", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Problem -> Solution -> Why Now -> Market Size -> Competition -> Product -> Business Model -> Team -> Financials -> The Ask", "description": null, "familyLabel": null }, "from": 9, "name": "Traction", "beatId": "0451170f-5049-4cf5-a7ce-454d57b2478b", "matchId": "2519a5c8-4970-45a4-a024-3fdc756aa36d", "beatType": null, "evidence": "The deck presents traction and growth metrics on pages 9-11", "position": 2, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [ { "to": 13, "from": 2, "loop": { "name": "47_quick_win_big_bet", "slug": "47-quick-win-big-bet", "status": "active", "bestFor": "Transformation planning, 100-day plans, resource allocation", "canonId": "019dd956-790d-708d-983e-ef9bbc68f741", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Full List -> Quick Wins (Low effort, High impact) -> Big Bets (High effort, High impact) -> Sequenced Roadmap", "description": "Separate initiatives into immediate wins and longer-term strategic bets", "familyLabel": null }, "matchId": "369ead70-e49a-442a-acbd-add78f293efb", "evidence": "The deck presents Genie AI as a solution with traction and growth potential", "position": 1, "objective": "Can Genie AI provide a quick win and a big bet for investors?", "confidence": 0.6, "extraction": { "at": "2026-07-16 21:43:24.894582+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "locked": true }, { "page": 11, "type": "evidence", "function": "show_traction", "rawType": "traction", "block": null, "metadata": { "slideType": "traction", "slideTypeCanon": { "name": "Traction", "slug": "traction", "status": "active", "canonId": "019de52d-0edd-72ab-820f-3ebc71a9c542", "version": 1, "description": null }, "function": "show_traction", "functionCanon": { "name": "Show traction", "slug": "show_traction", "status": "active", "canonId": "019de52d-16a8-756a-9b38-a7d35420561d", "version": 1, "description": null }, "density": "balanced", "densityScore": 36, "componentCount": 4, "textChars": 187, "nDataPoints": 20, "notes": null, "elementsJson": [ "action_title", "line_chart", "data_table" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 16:11:57.857+00", "seconds": 4.848, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5fed-74f2-a96e-ca1b59bf3a96/11", "deck": "/decks/019dd923-5fed-74f2-a96e-ca1b59bf3a96", "deckAnchor": "/decks/019dd923-5fed-74f2-a96e-ca1b59bf3a96#slide-11", "deckJson": "/decks/019dd923-5fed-74f2-a96e-ca1b59bf3a96.json" }, "components": [ { "bbox": { "h": 0.6, "w": 0.4, "x": 0.11, "y": 0.25 }, "kind": "chart", "text": "Growth chart of companies over time", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Line chart", "slug": "line", "status": "active", "canonId": "019de52c-ff62-778f-8f6c-a952ceae8677", "version": 1, "description": null }, "framework": null }, "subkind": "line", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:11:57.857+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "ec768108-a035-4f00-b9ee-4facd4bcd04c", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Companies: 26,000+", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-27 15:22:03+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-c0ac-7341-b366-5946d14ba349", "parentComponentId": null }, { "bbox": { "h": 0.6, "w": 0.3, "x": 0.6, "y": 0.25 }, "kind": "table", "text": "Monthly breakdown of company count and growth percentage", "attrs": null, "canon": { "kind": { "name": "Table", "slug": "table", "status": "active", "canonId": "019de52c-f9c8-7148-8119-eaac9594cd28", "version": 1, "description": "Tabular data layout." }, "tool": null, "subkind": { "name": "Data table", "slug": "data", "status": "active", "canonId": "019de52d-02d5-75b8-8abf-88e92bf63569", "version": 1, "description": null }, "framework": null }, "subkind": "data", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:11:57.857+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "7285a155-bce1-4300-bc0c-6e485b4dbf2e", "parentComponentId": null }, { "bbox": { "h": 0.04, "w": 0.78, "x": 0.11, "y": 0.06 }, "kind": "title", "text": "26,000+ companies use Genie; we've grown exponentially for 12 months straight!", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Action title", "slug": "action-title", "status": "active", "canonId": "019de52c-fb31-734c-a0f5-a3935b73135d", "version": 1, "description": null }, "framework": null }, "subkind": "action-title", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:11:57.857+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "d76f7698-36ea-4851-83e5-8e4136fc3690", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Data-Ink Ratio", "slug": "data-ink-ratio", "status": "active", "bestFor": null, "canonId": "019dd956-afc8-70da-b378-92834d36fde6", "version": 1, "bodyDocId": null, "description": "Maximize data, minimize non-data ink - remove chartjunk and decoration", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "73d3be7b-614e-4df4-98a1-b49aef6e3cb6", "evidence": "chart/line: Growth chart of companies over time", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:35:47.938973+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 11, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 11, "arc": { "name": "The Sequoia Pitch", "slug": "sequoia-pitch", "status": "active", "bestFor": "Investor pitches, Series A/B, board presentations", "canonId": "019dd956-5e69-75a7-a0a4-895ac1bc0444", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Problem -> Solution -> Why Now -> Market Size -> Competition -> Product -> Business Model -> Team -> Financials -> The Ask", "description": null, "familyLabel": null }, "from": 9, "name": "Traction", "beatId": "0451170f-5049-4cf5-a7ce-454d57b2478b", "matchId": "2519a5c8-4970-45a4-a024-3fdc756aa36d", "beatType": null, "evidence": "The deck presents traction and growth metrics on pages 9-11", "position": 2, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [ { "to": 13, "from": 2, "loop": { "name": "47_quick_win_big_bet", "slug": "47-quick-win-big-bet", "status": "active", "bestFor": "Transformation planning, 100-day plans, resource allocation", "canonId": "019dd956-790d-708d-983e-ef9bbc68f741", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Full List -> Quick Wins (Low effort, High impact) -> Big Bets (High effort, High impact) -> Sequenced Roadmap", "description": "Separate initiatives into immediate wins and longer-term strategic bets", "familyLabel": null }, "matchId": "369ead70-e49a-442a-acbd-add78f293efb", "evidence": "The deck presents Genie AI as a solution with traction and growth potential", "position": 1, "objective": "Can Genie AI provide a quick win and a big bet for investors?", "confidence": 0.6, "extraction": { "at": "2026-07-16 21:43:24.894582+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "locked": true }, { "page": 12, "type": "evidence", "function": "illustrate_case", "rawType": "testimonial", "block": null, "metadata": { "slideType": "testimonial", "slideTypeCanon": { "name": "Testimonial", "slug": "testimonial", "status": "active", "canonId": "019de52d-0a2d-7782-8a48-7e84df92cc97", "version": 1, "description": null }, "function": "illustrate_case", "functionCanon": { "name": "Illustrate case", "slug": "illustrate_case", "status": "active", "canonId": "019de52d-13b4-772c-bb73-1873612a7463", "version": 1, "description": null }, "density": "balanced", "densityScore": 42, "componentCount": 5, "textChars": 303, "nDataPoints": 0, "notes": null, "elementsJson": [ "action_title", "photo" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 16:11:55.401+00", "seconds": 2.358, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5fed-74f2-a96e-ca1b59bf3a96/12", "deck": "/decks/019dd923-5fed-74f2-a96e-ca1b59bf3a96", "deckAnchor": "/decks/019dd923-5fed-74f2-a96e-ca1b59bf3a96#slide-12", "deckJson": "/decks/019dd923-5fed-74f2-a96e-ca1b59bf3a96.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "Users are so desperate to pay, they think they’re stealing from us!", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-27 15:21:59+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-c0ac-7341-b362-743f674e9bf5", "parentComponentId": null }, { "bbox": { "h": 0.564, "w": 0.62, "x": 0.19, "y": 0.215 }, "kind": "image", "text": "Video placeholder", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Photo", "slug": "photo", "status": "active", "canonId": "019de52c-fd37-757f-b4a8-ca26d4888875", "version": 1, "description": null }, "framework": null }, "subkind": "photo", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:11:55.401+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "37643e80-d19c-4421-9a02-20b7151f4540", "parentComponentId": null }, { "bbox": { "h": 0.02, "w": 0.292, "x": 0.354, "y": 0.889 }, "kind": "paragraph", "text": "Client: Yas Howbrook, Sales Lead at ProConvey", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:11:55.401+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "14599897-c8b0-4355-9020-ac3120074d00", "parentComponentId": null }, { "bbox": null, "kind": "quote", "text": "Users are so desperate to pay, they think they’re stealing from us! - Yas Howbrook, Sales Lead at ProConvey", "attrs": null, "canon": { "kind": { "name": "Quote", "slug": "quote", "status": "active", "canonId": "019de52c-f8fb-751e-8bc6-d58e2d59562a", "version": 1, "description": "Pull quote or testimonial." }, "tool": { "name": "Authority citation", "slug": "authority-citation", "status": "active", "bestFor": null, "canonId": "019dd9e1-49ae-7557-89ad-3fca70469b45", "version": 1, "bodyDocId": null, "description": "Quoting an authority figure, study, or precedent to lend weight.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-27 15:21:59+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-c0ac-7341-b362-7a698ffe27cf", "parentComponentId": null }, { "bbox": { "h": 0.035, "w": 0.628, "x": 0.186, "y": 0.06 }, "kind": "title", "text": "Users are so desperate to pay, they think they’re stealing from us!", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Action title", "slug": "action-title", "status": "active", "canonId": "019de52c-fb31-734c-a0f5-a3935b73135d", "version": 1, "description": null }, "framework": null }, "subkind": "action-title", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:11:55.401+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "1bf75673-54ae-49a6-b679-c451aff96743", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [], "loops": [ { "to": 13, "from": 2, "loop": { "name": "47_quick_win_big_bet", "slug": "47-quick-win-big-bet", "status": "active", "bestFor": "Transformation planning, 100-day plans, resource allocation", "canonId": "019dd956-790d-708d-983e-ef9bbc68f741", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Full List -> Quick Wins (Low effort, High impact) -> Big Bets (High effort, High impact) -> Sequenced Roadmap", "description": "Separate initiatives into immediate wins and longer-term strategic bets", "familyLabel": null }, "matchId": "369ead70-e49a-442a-acbd-add78f293efb", "evidence": "The deck presents Genie AI as a solution with traction and growth potential", "position": 1, "objective": "Can Genie AI provide a quick win and a big bet for investors?", "confidence": 0.6, "extraction": { "at": "2026-07-16 21:43:24.894582+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "locked": true }, { "page": 13, "type": "setup", "title": "The slide uses a grid layout to present individual profiles, including logos of past employers and icons for awards/achievements.", "function": "other", "rawType": "team_bio", "block": null, "metadata": { "slideType": "team_bio", "slideTypeCanon": { "name": "Team bio", "slug": "team_bio", "status": "active", "canonId": "019de52d-0a7d-7394-ae5b-037478e71f1e", "version": 1, "description": null }, "function": "other", "functionCanon": { "name": "Other (fallback)", "slug": "other", "status": "active", "canonId": "019de52d-15e1-75bc-99dc-07732380e2ce", "version": 1, "description": null }, "density": "sparse", "densityScore": 9, "componentCount": 2, "textChars": 115, "nDataPoints": 0, "notes": "The slide uses a grid layout to present individual profiles, including logos of past employers and icons for awards/achievements.", "elementsJson": [ "headline_text", "icon_grid", "logo_grid" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 16:11:58.025+00", "seconds": 4.57, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5fed-74f2-a96e-ca1b59bf3a96/13", "deck": "/decks/019dd923-5fed-74f2-a96e-ca1b59bf3a96", "deckAnchor": "/decks/019dd923-5fed-74f2-a96e-ca1b59bf3a96#slide-13", "deckJson": "/decks/019dd923-5fed-74f2-a96e-ca1b59bf3a96.json" }, "components": [ { "bbox": { "h": 0.82, "w": 0.96, "x": 0.02, "y": 0.12 }, "kind": "list", "text": "Profiles of 10 team members and advisors arranged in a 2x5 grid.", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:11:58.025+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "e2419f13-143b-40f6-ad0a-57b09ed20a53", "parentComponentId": null }, { "bbox": { "h": 0.04, "w": 0.52, "x": 0.24, "y": 0.03 }, "kind": "title", "text": "We’re a team of 16 generative AI and legal veterans", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:11:58.025+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "aa39037c-6439-48ee-9826-d8a541419de2", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 13, "arc": { "name": "The Sequoia Pitch", "slug": "sequoia-pitch", "status": "active", "bestFor": "Investor pitches, Series A/B, board presentations", "canonId": "019dd956-5e69-75a7-a0a4-895ac1bc0444", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Problem -> Solution -> Why Now -> Market Size -> Competition -> Product -> Business Model -> Team -> Financials -> The Ask", "description": null, "familyLabel": null }, "from": 13, "name": "Team", "beatId": "69db05d0-7c1a-488d-ab5a-fbd739783492", "matchId": "2519a5c8-4970-45a4-a024-3fdc756aa36d", "beatType": { "name": "Team", "slug": "sequoia-pitch-team", "status": "active", "canonId": "019dd9b8-23c9-746f-aaf9-2f5d83892cf3", "version": 1, "description": null }, "evidence": "The deck presents the team bio on page 13", "position": 3, "isPrimaryArc": true, "parentBeatType": { "name": "Evidence", "slug": "evidence", "status": "active", "canonId": "019dd9b8-03f9-772a-b84a-4f07b415b77a", "version": 1, "description": "A dedicated proof beat exists in only ~4 arcs (Gambit, Sequoia, AIDA, Monroes). Other arcs embed evidence inline within development." }, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [ { "to": 13, "from": 2, "loop": { "name": "47_quick_win_big_bet", "slug": "47-quick-win-big-bet", "status": "active", "bestFor": "Transformation planning, 100-day plans, resource allocation", "canonId": "019dd956-790d-708d-983e-ef9bbc68f741", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Full List -> Quick Wins (Low effort, High impact) -> Big Bets (High effort, High impact) -> Sequenced Roadmap", "description": "Separate initiatives into immediate wins and longer-term strategic bets", "familyLabel": null }, "matchId": "369ead70-e49a-442a-acbd-add78f293efb", "evidence": "The deck presents Genie AI as a solution with traction and growth potential", "position": 1, "objective": "Can Genie AI provide a quick win and a big bet for investors?", "confidence": 0.6, "extraction": { "at": "2026-07-16 21:43:24.894582+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "locked": true } ], "arcBeats": [ { "from": 2, "to": 4, "label": "Problem", "description": "The deck presents the problem and market opportunity on pages 2-4" }, { "from": 5, "to": 8, "label": "Product", "description": "The deck showcases the product features on pages 5-8" }, { "from": 9, "to": 11, "label": "Traction", "description": "The deck presents traction and growth metrics on pages 9-11" }, { "from": 13, "to": 13, "label": "Team", "description": "The deck presents the team bio on page 13" } ], "loops": [ { "from": 4, "to": 9, "label": "Cost Of Inaction", "description": "What is the cost of not using Genie AI?" }, { "from": 2, "to": 13, "label": "Quick Win Big Bet", "description": "Can Genie AI provide a quick win and a big bet for investors?" } ] }