{ "schemaVersion": "deck-intelligence.v1", "id": "019dd923-5fed-74f2-a96f-fd65fc85660c", "slug": "bi-eb80a59dd62f8439", "title": "AI marketing startup LTV.ai raises $5M Series A: see the pitch deck", "subtitle": "LTV.ai", "author": "LTV.ai", "pageCount": 10, "kind": "pitchdeck", "orientation": "landscape", "aspectRatio": 1.781, "document": { "id": "019dd923-5fed-74f2-a96f-fd65fc85660c", "slug": "bi-eb80a59dd62f8439", "title": "AI marketing startup LTV.ai raises $5M Series A: see the pitch deck", "rawTitle": "AI marketing startup LTV.ai raises $5M Series A: see the pitch deck", "authorId": "Pitchdecks", "authorName": "LTV.ai", "authorDisplay": "LTV.ai", "kind": { "slug": "pitchdeck", "label": "Pitch deck" }, "sourceType": { "slug": "strategy_consulting", "label": "Strategy consulting" }, "fileName": "Ltvai-bi-eb80a.pdf", "sourceUrl": "https://www.businessinsider.com/ltvai-ai-marketing-startup-raises-5m-series-a-pitch-deck-2025-3", "sourceDate": "2025-03-28 00:00:00", "presentationDate": null, "ingestedAt": "2026-04-27 10:11:04.363+00", "status": "ready", "pageCount": 10, "orientation": "landscape", "aspectRatio": 1.781, "targetCompany": null, "targetTicker": null, "metadata": { "local_root": "/tmp/legacy-images/bi-eb80a59dd62f8439", "origin_corpus": "consulting" } }, "coverage": { "pageCount": 10, "pagesIndexed": 10, "pagesWithImages": 10, "pagesWithMetadata": 10, "imageCoveragePct": 100, "metadataCoveragePct": 100, "componentCount": 67, "chartCount": 0, "metricSlides": 0, "toolMatches": 4, "documentToolMatches": 0, "frameworkMatches": 7, "arcMatches": 1, "beatMatches": 4, "loopMatches": 3, "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": "8038545a-7636-4463-9c73-e0ceb26195ec", "evidence": "The deck follows a clear structure, starting with the problem, then the solution, and finally the vision", "isPrimary": true, "confidence": 0.8, "extraction": { "at": "2026-07-16 21:44:34.50697+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": 4, "name": "Problem", "beatId": "625ceb00-50b0-4c1e-99a2-6cd6567dd44a", "matchId": "8038545a-7636-4463-9c73-e0ceb26195ec", "beatType": { "name": "Problem", "slug": "sequoia-pitch-problem", "status": "active", "canonId": "019dd9b8-1ed4-767b-8e05-40e733bd2311", "version": 1, "description": null }, "evidence": "The problem statement is clearly outlined on page 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": 6, "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": 6, "name": "Market Size", "beatId": "f8abd6b2-f085-4061-bbae-d2caba8d63fe", "matchId": "8038545a-7636-4463-9c73-e0ceb26195ec", "beatType": { "name": "Market Size", "slug": "sequoia-pitch-market-size", "status": "active", "canonId": "019dd9b8-20e6-729c-bc28-05442906d032", "version": 1, "description": null }, "evidence": "The market sizing is presented on page 6", "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": 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": 7, "name": "Product", "beatId": "47a729e2-2df3-44cf-8dec-28892127f285", "matchId": "8038545a-7636-4463-9c73-e0ceb26195ec", "beatType": { "name": "Product", "slug": "sequoia-pitch-product", "status": "active", "canonId": "019dd9b8-2259-77df-a937-8b665c8066fe", "version": 1, "description": null }, "evidence": "The product demo is shown on pages 7-8", "position": 2, "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": 10, "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": 10, "name": "Vision", "beatId": "e3c93871-1a8b-4c02-979a-981d2bffeb00", "matchId": "8038545a-7636-4463-9c73-e0ceb26195ec", "beatType": null, "evidence": "The vision is outlined on page 10", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [ { "to": 2, "from": 2, "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": "7f13bf0c-9fc5-4fae-bee6-746724835ab1", "evidence": "The 'why now' slide highlights the cost of inaction for brands that don't adopt AI-native marketing", "position": 0, "objective": "Why now is the time for AI-native marketing", "confidence": 0.7, "extraction": { "at": "2026-07-16 21:44:34.690564+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } }, { "to": 2, "from": 2, "loop": { "name": "15_why_now", "slug": "15-why-now", "status": "active", "bestFor": "Sales pitches, fundraising, requesting immediate budget approval", "canonId": "019dd956-6c00-70cd-bd42-6bacc4af726f", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Context (Trends) -> The Trigger Event -> The Window of Opportunity", "description": "Create temporal urgency by proving that the window of opportunity is opening or closing", "familyLabel": null, "categoryName": "Urgency", "categorySlug": "urgency" }, "matchId": "9ddedc98-310f-40c5-b3c1-db0b9835eedc", "evidence": "The 'why now' slide highlights the urgency for brands to adopt AI-native marketing", "position": 1, "objective": "Why now is the time for AI-native marketing", "confidence": 0.7, "extraction": { "at": "2026-07-16 21:44:34.726922+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } }, { "to": 4, "from": 4, "loop": { "name": "06_zoom_in", "slug": "06-zoom-in", "status": "active", "bestFor": "Technical deep-dives, case studies, detailed analysis", "canonId": "019dd956-6846-74db-82be-dff5b058b072", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Big Picture -> Key Area of Focus -> Specific Detail -> Implication", "description": "Start broad, then progressively focus on specific details that prove your point", "familyLabel": null, "categoryName": "Analysis", "categorySlug": "analysis" }, "matchId": "df8091ce-4a9f-4b25-9e0d-335aefcbbdb3", "evidence": "The problem statement is clearly outlined on page 4", "position": 2, "objective": "Zoom in on the problem of fragmented ‘Omni-Channel’ flows", "confidence": 0.6, "extraction": { "at": "2026-07-16 21:44:34.763023+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "tools": [ { "tool": { "name": "2x2 matrix", "slug": "matrix-2x2", "status": "active", "bestFor": null, "canonId": "019dd9e1-50ab-72d1-8afb-3ab0a38e32a8", "version": 1, "bodyDocId": null, "description": "BCG matrix, importance/urgency, any axes-and-quadrants frame.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "2d82c58a-9e1e-4e59-8d29-9f740a769725", "evidence": "Generic vs Personalized metrics", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.5, "extraction": { "at": "2026-07-16 22:37:03.488439+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 3, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null }, { "tool": { "name": "Comparison frame", "slug": "comparison-frame", "status": "active", "bestFor": null, "canonId": "019dd9e1-484b-7399-a4fc-d14644b99f93", "version": 1, "bodyDocId": null, "description": "Two or more states/subjects placed side by side to expose a gap.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "fe30bbda-d4fa-49a5-aaf3-7a31ce9c2be9", "evidence": "Comparison of legacy vs new approach", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:37:03.453387+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 3, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null }, { "tool": { "name": "Before-After-Bridge", "slug": "before-after-bridge", "status": "active", "bestFor": null, "canonId": "019dd956-8604-7188-883f-42370288ad05", "version": 1, "bodyDocId": null, "description": "Narrative structure: Paint the before, show the after, explain the bridge", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "370a0884-afda-45c4-8cc6-55ae8b885364", "evidence": "Legacy Platforms: 0.1% conversion, $0.07 revenue per send. LTV.ai: 5x conversion, 3x revenue per send.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.5, "extraction": { "at": "2026-07-16 22:37:03.586492+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 4, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Problem Statement Canvas", "slug": "problem-statement-canvas", "status": "active", "bestFor": null, "canonId": "019dd956-839d-744b-ad11-9bf3e3642a18", "version": 1, "bodyDocId": null, "description": "Structured definition of the problem: What? Who? Where? When? Scale?", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "f09eb618-412b-4708-9308-9f99680580e3", "evidence": "Fragmented ‘Omni-Channel’ flows lead to disconnects that create more churn than results", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:37:03.555651+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 4, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [ { "matchId": "7152026c-0d2e-4f88-a12c-c7c28fef30e1", "evidence": "The slide explicitly contrasts AI-first benefits against legacy platform failures.", "framework": null, "confidence": 0.9, "extraction": { "at": "2026-05-02 16:09:14.435+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 2, "frameworkName": "contrast-pairs" }, { "matchId": "49879aac-1604-4231-9e1e-7aa591e186d0", "evidence": "Contrasts legacy 'burn' with optimized 'customized' approach", "framework": null, "confidence": 1, "extraction": { "at": "2026-05-02 16:09:16.33+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 3, "frameworkName": "before-after-framing" }, { "matchId": "9ccceaf9-6e4c-4892-a8cc-03056b68d53f", "evidence": "Contrasts legacy platform performance with LTV.ai performance to frame the problem.", "framework": null, "confidence": 0.9, "extraction": { "at": "2026-05-02 16:09:13.942+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 4, "frameworkName": "before-after-framing" }, { "matchId": "52be207b-4f0e-4209-a81a-729964a48dc2", "evidence": "Comparing legacy email response rates to LTV.ai response rates", "framework": null, "confidence": 0.9, "extraction": { "at": "2026-05-02 16:09:18.548+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 5, "frameworkName": "comparison-frame" }, { "matchId": "24d42edd-7fd4-4296-89fc-bb49386c5633", "evidence": "Using established market valuations and acquisitions to prove market potential.", "framework": null, "confidence": 0.9, "extraction": { "at": "2026-05-02 16:09:14.037+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 6, "frameworkName": "authority-citation" }, { "matchId": "01f499cb-a586-466f-a0ad-d328b5e7fdb2", "evidence": "Shows input data variables leading to a personalized output email", "framework": null, "confidence": 0.8, "extraction": { "at": "2026-05-02 16:09:14.606+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 8, "frameworkName": "before-after-framing" }, { "matchId": "626fb1f7-8833-476b-b023-4a2c7cfbec4f", "evidence": "Using a customer testimonial to validate claims.", "framework": null, "confidence": 0.9, "extraction": { "at": "2026-05-02 16:09:14.339+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 9, "frameworkName": "authority-citation" } ], "patterns": [] }, "storymakers": null, "score": null, "review": null, "activistThesis": null, "pitchdeck": { "metadata": { "author": "Madeline Stone", "fireId": "bi-eb80a59dd62f8439", "sector": null, "deckKind": "fundraise", "roundRaw": "Series A", "amountRaw": "$5.2 million", "amountUsd": "5200000", "scrapedAt": "2026-04-27 10:11:04.363+00", "sectorRaw": null, "sourceUrl": "https://www.businessinsider.com/ltvai-ai-marketing-startup-raises-5m-series-a-pitch-deck-2025-3", "deckKindAt": "2026-04-28 07:19:06+00", "highlights": "LTV.ai raised a $5.2 million Series A to send AI-driven emails and text messages. See its pitch deck. ", "slideCount": 10, "companyName": "Ltvai", "description": "LTV.ai raised a $5.2 million Series A to send AI-driven emails and text messages. See its pitch deck. ", "displayName": "LTV.ai", "publishDate": "2025-03-28", "roundSeries": "series_a", "articleTitle": "AI marketing startup LTV.ai raises $5M Series A: see the pitch deck", "leadInvestors": null, "deckKindSignal": "raises", "metaExtractedAt": "2026-04-28 07:16:02+00" }, "profile": { "scores": { "yc": 0.3623, "a16z": 0.2823, "docsend": 0.4533, "hoffman": 0.1971, "mcclure": 0.2829, "sequoia": 0.2986, "kawasaki": 0.29, "nextview": 0.3606, "slidebean": 0.2233, "founder_institute": 0.2462 }, "nSlides": 10, "sequence": [ "cover", "problem_statement", "pain_points", "pain_points", "traction", "market_sizing", "solution", "solution", "testimonial", "vision" ], "breakdown": { "yc": { "order": 0.3, "signal": 0.08, "jaccard": 0.3846 }, "a16z": { "order": 0.3, "signal": 0, "jaccard": 0.3846 }, "docsend": { "order": 0.4, "signal": 0.2, "jaccard": 0.2667 }, "hoffman": { "order": 0.3, "signal": 0, "jaccard": 0.2143 }, "mcclure": { "order": 0.3, "signal": 0.05, "jaccard": 0.2857 }, "sequoia": { "order": 0.4, "signal": 0, "jaccard": 0.3571 }, "kawasaki": { "order": 0.3, "signal": 0.1, "jaccard": 0.2 }, "nextview": { "order": 0.4444, "signal": 0, "jaccard": 0.4545 }, "slidebean": { "order": 0.3, "signal": 0, "jaccard": 0.2667 }, "founder_institute": { "order": 0.3, "signal": 0, "jaccard": 0.3125 } }, "matchedAt": "2026-04-27 21:51:54+00", "noveltyScore": 0.6967, "primaryScore": 0.4533, "noveltySignals": [ "rare slide types: vision", "non-canonical types: pain_points, testimonial" ], "primaryProfile": "docsend", "secondaryScore": 0.3623, "secondaryProfile": "yc" } }, "slides": [ { "page": 1, "type": "setup", "function": "front_matter", "imagePath": "https://imgproxy.kitesheet.com/RcF6h8PROOqlMNiEvV7VNsC3VCsSWK5dzRPqwqtIZVo/rs:fit:1200:1200:0/q:82/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy9iaS1lYjgwYTU5ZGQ2MmY4NDM5L3AwMDEuanBn", "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": "balanced", "densityScore": 38, "componentCount": 5, "textChars": 162, "nDataPoints": 1, "notes": null, "elementsJson": [ "headline_text" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 16:09:13.43+00", "seconds": 2.442, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5fed-74f2-a96f-fd65fc85660c/1", "deck": "/decks/019dd923-5fed-74f2-a96f-fd65fc85660c", "deckAnchor": "/decks/019dd923-5fed-74f2-a96f-fd65fc85660c#slide-1", "deckJson": "/decks/019dd923-5fed-74f2-a96f-fd65fc85660c.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "and we’ve built the platform that proves it", "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 15:32:45+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-cb18-702b-89be-0d8afac154b7", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.15, "x": 0.04, "y": 0.32 }, "kind": "image", "text": "ltv.ai", "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": "Logo", "slug": "logo", "status": "active", "canonId": "019de52c-fdaf-743d-94c4-d7c6a0e55302", "version": 1, "description": null }, "framework": null }, "subkind": "logo", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:09:13.43+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "2cf9e947-5c6a-458b-9cfa-d3249b103cc9", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Revenue: 3x", "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 15:32:45+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-cb18-702b-89be-11b6fd38a75c", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.45, "x": 0.275, "y": 0.615 }, "kind": "paragraph", "text": "and we've built the platform that proves it", "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 16:09:13.43+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "62bb3fba-6bd1-461e-a9c7-c3dc15d109e0", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.65, "x": 0.275, "y": 0.335 }, "kind": "title", "text": "AI-NATIVE MARKETING DRIVES 3x MORE REVENUE THAN LEGACY SPAM", "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 16:09:13.43+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "323a18f1-4490-401a-863c-b2c29edcbb06", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [], "loops": [], "thumbSrc": "https://imgproxy.kitesheet.com/2Xo7_rf-d6jY8TtifbcK5Shl5TTClZ-JlkzlgzvwGXo/rs:fit:480:480:0/q:78/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy9iaS1lYjgwYTU5ZGQ2MmY4NDM5L3AwMDEuanBn", "imagePathAlt": "https://imgproxy.kitesheet.com/8qQj_om_I1K8_siNG2x4_hYqIp32Slh8Gal7Fe-tUdE/rs:fit:1200:1200:0/q:82/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy9iaS1lYjgwYTU5ZGQ2MmY4NDM5L3AwMDEucG5n", "thumbSrcAlt": "https://imgproxy.kitesheet.com/CCYKYNfGY99tmGyALaWBXt651JFA7GA0oA91TZNfhnY/rs:fit:480:480:0/q:78/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy9iaS1lYjgwYTU5ZGQ2MmY4NDM5L3AwMDEucG5n" }, { "page": 2, "type": "setup", "title": "Uses a contrast-pairs framework to highlight the gap between current customer expectations/AI performance and legacy platform failures.", "function": "argue_timing", "rawType": "why_now", "block": null, "metadata": { "slideType": "why_now", "slideTypeCanon": { "name": "Why now", "slug": "why_now", "status": "active", "canonId": "019de52d-0f2e-718d-b8ad-256dd87582d0", "version": 1, "description": null }, "function": "argue_timing", "functionCanon": { "name": "Argue timing (why now)", "slug": "argue_timing", "status": "active", "canonId": "019de52d-16f8-74de-9ec2-900be07d90dd", "version": 1, "description": null }, "density": "dense", "densityScore": 73, "componentCount": 8, "textChars": 419, "nDataPoints": 4, "notes": "Uses a contrast-pairs framework to highlight the gap between current customer expectations/AI performance and legacy platform failures.", "elementsJson": [ "action_title", "paragraph", "big_number", "callout_box" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 16:09:14.435+00", "seconds": 3.447, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5fed-74f2-a96f-fd65fc85660c/2", "deck": "/decks/019dd923-5fed-74f2-a96f-fd65fc85660c", "deckAnchor": "/decks/019dd923-5fed-74f2-a96f-fd65fc85660c#slide-2", "deckJson": "/decks/019dd923-5fed-74f2-a96f-fd65fc85660c.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "Outpacing legacy spam by 3x, our AI-first hyper-personalized outreach is realizing engagement, revenue & performance increases across all baseline metrics.", "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 15:32:41+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-cb18-702b-89bb-e286e7ed8b2c", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.12, "x": 0.81, "y": 0.23 }, "kind": "metric", "text": "3x", "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": null, "subkind": { "name": "Big number", "slug": "big-number", "status": "active", "canonId": "019de52c-fc70-70c8-b965-0584548a9204", "version": 1, "description": null }, "framework": null }, "subkind": "big-number", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:09:14.435+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "0f4da4e1-4847-49ae-93b1-9187e3d21157", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.12, "x": 0.58, "y": 0.53 }, "kind": "metric", "text": ".005%", "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": null, "subkind": { "name": "Big number", "slug": "big-number", "status": "active", "canonId": "019de52c-fc70-70c8-b965-0584548a9204", "version": 1, "description": null }, "framework": null }, "subkind": "big-number", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:09:14.435+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "15f7d60e-0ce8-48c1-bb36-e5b6580ef2da", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.12, "x": 0.81, "y": 0.53 }, "kind": "metric", "text": "$20b+", "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": null, "subkind": { "name": "Big number", "slug": "big-number", "status": "active", "canonId": "019de52c-fc70-70c8-b965-0584548a9204", "version": 1, "description": null }, "framework": null }, "subkind": "big-number", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:09:14.435+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "367bec7d-f2e7-4345-abb0-8f66c0cde3cb", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.12, "x": 0.58, "y": 0.23 }, "kind": "metric", "text": "69%", "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": null, "subkind": { "name": "Big number", "slug": "big-number", "status": "active", "canonId": "019de52c-fc70-70c8-b965-0584548a9204", "version": 1, "description": null }, "framework": null }, "subkind": "big-number", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:09:14.435+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "aaebafed-515d-42ae-b8ee-d22bfc0b0b84", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Wasted spend: $20b+", "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 15:32:41+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-cb18-702b-89bb-e51f8fa6f0ff", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.42, "x": 0.06, "y": 0.45 }, "kind": "paragraph", "text": "Outpacing legacy spam by 3x, our AI-first hyper-personalized outreach is realizing engagement, revenue & performance increases across all baseline metrics.", "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 16:09:14.435+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "f6be1fdc-685c-4afa-9f17-bed4e4e524c0", "parentComponentId": null }, { "bbox": { "h": 0.18, "w": 0.42, "x": 0.06, "y": 0.23 }, "kind": "title", "text": "BRANDS THAT AREN'T BUILT AROUND AI WILL LOSE MARKET SHARE TO THOSE THAT ARE", "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 16:09:14.435+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "8d231ab4-1bfe-4380-932e-d3b30d4cfb50", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [ { "matchId": "7152026c-0d2e-4f88-a12c-c7c28fef30e1", "evidence": "The slide explicitly contrasts AI-first benefits against legacy platform failures.", "framework": null, "confidence": 0.9, "extraction": { "at": "2026-05-02 16:09:14.435+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 2, "frameworkName": "contrast-pairs" } ], "arcBeats": [], "loops": [ { "to": 2, "from": 2, "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": "7f13bf0c-9fc5-4fae-bee6-746724835ab1", "evidence": "The 'why now' slide highlights the cost of inaction for brands that don't adopt AI-native marketing", "position": 0, "objective": "Why now is the time for AI-native marketing", "confidence": 0.7, "extraction": { "at": "2026-07-16 21:44:34.690564+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } }, { "to": 2, "from": 2, "loop": { "name": "15_why_now", "slug": "15-why-now", "status": "active", "bestFor": "Sales pitches, fundraising, requesting immediate budget approval", "canonId": "019dd956-6c00-70cd-bd42-6bacc4af726f", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Context (Trends) -> The Trigger Event -> The Window of Opportunity", "description": "Create temporal urgency by proving that the window of opportunity is opening or closing", "familyLabel": null }, "matchId": "9ddedc98-310f-40c5-b3c1-db0b9835eedc", "evidence": "The 'why now' slide highlights the urgency for brands to adopt AI-native marketing", "position": 1, "objective": "Why now is the time for AI-native marketing", "confidence": 0.7, "extraction": { "at": "2026-07-16 21:44:34.726922+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "locked": true }, { "page": 3, "type": "setup", "title": "Uses a before-and-after comparison frame to highlight the inefficiency of generic email marketing versus personalized outreach.", "function": "compare_peers", "rawType": "comparison_table", "block": null, "metadata": { "slideType": "comparison_table", "slideTypeCanon": { "name": "Comparison table", "slug": "comparison_table", "status": "active", "canonId": "019de52d-0a06-73f8-8813-fe022fab1de2", "version": 1, "description": null }, "function": "compare_peers", "functionCanon": { "name": "Compare peers", "slug": "compare_peers", "status": "active", "canonId": "019de52d-1453-72ba-a367-9ba3d34c1630", "version": 1, "description": null }, "density": "dense", "densityScore": 53, "componentCount": 6, "textChars": 227, "nDataPoints": 6, "notes": "Uses a before-and-after comparison frame to highlight the inefficiency of generic email marketing versus personalized outreach.", "elementsJson": [ "action_title", "screenshot", "comparison_table" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 16:09:16.33+00", "seconds": 5.339, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5fed-74f2-a96f-fd65fc85660c/3", "deck": "/decks/019dd923-5fed-74f2-a96f-fd65fc85660c", "deckAnchor": "/decks/019dd923-5fed-74f2-a96f-fd65fc85660c#slide-3", "deckJson": "/decks/019dd923-5fed-74f2-a96f-fd65fc85660c.json" }, "components": [ { "bbox": null, "kind": "framework", "text": "Comparison of legacy vs new approach", "attrs": null, "canon": { "kind": { "name": "Framework", "slug": "framework", "status": "active", "canonId": "019de52c-fa18-77c6-b10a-ccb8277ac0fa", "version": 1, "description": "Named conceptual framework instance." }, "tool": null, "subkind": { "name": "Framework instance", "slug": "instance", "status": "active", "canonId": "019de52d-05a2-72af-be0b-7edc60708a03", "version": 1, "description": null }, "framework": null }, "subkind": "instance", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:09:16.33+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "d6c10948-ecd1-4b91-b25d-1837a176ebe9", "parentComponentId": null }, { "bbox": { "h": 0.8, "w": 0.3, "x": 0.65, "y": 0.05 }, "kind": "image", "text": "Personalized email example", "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 16:09:16.33+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "6ba3d2e0-8c32-4378-89ed-4c953d7c96a9", "parentComponentId": null }, { "bbox": { "h": 0.5, "w": 0.22, "x": 0.17, "y": 0.22 }, "kind": "image", "text": "Generic email example", "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 16:09:16.33+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "97ce42c6-eafe-425d-8bde-912a3df4c49f", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.9, "x": 0.05, "y": 0.8 }, "kind": "list", "text": "Generic vs Personalized metrics", "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 16:09:16.33+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "369001ad-3f6a-47ba-ac2a-d5c7c72ef077", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "conversion: 6-7 figures", "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 15:32:40+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-cb18-702b-89bb-2ea84f933960", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.6, "x": 0.05, "y": 0.05 }, "kind": "title", "text": "On average, legacy marketers today burn up to 6-7 figures on creative that doesn't convert", "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 16:09:16.33+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "e5e0482e-3ffb-4255-a89a-f40a49323d7e", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "2x2 matrix", "slug": "matrix-2x2", "status": "active", "bestFor": null, "canonId": "019dd9e1-50ab-72d1-8afb-3ab0a38e32a8", "version": 1, "bodyDocId": null, "description": "BCG matrix, importance/urgency, any axes-and-quadrants frame.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "2d82c58a-9e1e-4e59-8d29-9f740a769725", "evidence": "Generic vs Personalized metrics", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.5, "extraction": { "at": "2026-07-16 22:37:03.488439+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 3, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null }, { "tool": { "name": "Comparison frame", "slug": "comparison-frame", "status": "active", "bestFor": null, "canonId": "019dd9e1-484b-7399-a4fc-d14644b99f93", "version": 1, "bodyDocId": null, "description": "Two or more states/subjects placed side by side to expose a gap.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "fe30bbda-d4fa-49a5-aaf3-7a31ce9c2be9", "evidence": "Comparison of legacy vs new approach", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:37:03.453387+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 3, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null } ], "frameworks": [ { "matchId": "49879aac-1604-4231-9e1e-7aa591e186d0", "evidence": "Contrasts legacy 'burn' with optimized 'customized' approach", "framework": null, "confidence": 1, "extraction": { "at": "2026-05-02 16:09:16.33+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 3, "frameworkName": "before-after-framing" } ], "arcBeats": [], "loops": [], "locked": true }, { "page": 4, "type": "tension", "title": "Uses a before-and-after comparison of customer communication flows to highlight the problem of fragmentation.", "function": "frame_problem", "rawType": "problem_statement", "block": null, "metadata": { "slideType": "problem_statement", "slideTypeCanon": { "name": "Problem statement", "slug": "problem_statement", "status": "active", "canonId": "019de52d-0879-768d-bba8-8da8a5a121d4", "version": 1, "description": null }, "function": "frame_problem", "functionCanon": { "name": "Frame problem", "slug": "frame_problem", "status": "active", "canonId": "019de52d-13db-753e-ad70-e9b2d0dab398", "version": 1, "description": null }, "density": "balanced", "densityScore": 49, "componentCount": 5, "textChars": 310, "nDataPoints": 4, "notes": "Uses a before-and-after comparison of customer communication flows to highlight the problem of fragmentation.", "elementsJson": [ "action_title", "screenshot", "comparison_table" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 16:09:13.942+00", "seconds": 2.911, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5fed-74f2-a96f-fd65fc85660c/4", "deck": "/decks/019dd923-5fed-74f2-a96f-fd65fc85660c", "deckAnchor": "/decks/019dd923-5fed-74f2-a96f-fd65fc85660c#slide-4", "deckJson": "/decks/019dd923-5fed-74f2-a96f-fd65fc85660c.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "we bridge the gap by continuing threads across all channels", "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 15:32:39+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-cb18-702b-89ba-1a8453e90623", "parentComponentId": null }, { "bbox": { "h": 0.7, "w": 0.45, "x": 0.06, "y": 0.23 }, "kind": "image", "text": "Email and SMS conversation examples", "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 16:09:13.942+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "65182d72-ae93-4171-9b92-12427710af4c", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Average conversion rate: 5x", "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 15:32:39+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-cb18-702b-89ba-1d2f060685ee", "parentComponentId": null }, { "bbox": { "h": 0.45, "w": 0.32, "x": 0.62, "y": 0.032 }, "kind": "table", "text": "Legacy Platforms: 0.1% conversion, $0.07 revenue per send. LTV.ai: 5x conversion, 3x revenue per send.", "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": "KPI table", "slug": "kpi", "status": "active", "canonId": "019de52d-0324-7799-a84e-d0885a8ad400", "version": 1, "description": null }, "framework": null }, "subkind": "kpi", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:09:13.942+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "927c2ae7-e561-423e-94c7-949faae9d7c5", "parentComponentId": null }, { "bbox": { "h": 0.12, "w": 0.55, "x": 0.06, "y": 0.06 }, "kind": "title", "text": "Fragmented 'Omni-Channel' flows lead to disconnects that create more churn than results", "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 16:09:13.942+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "00a721ba-c404-4d79-a65a-b025f4efc183", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Before-After-Bridge", "slug": "before-after-bridge", "status": "active", "bestFor": null, "canonId": "019dd956-8604-7188-883f-42370288ad05", "version": 1, "bodyDocId": null, "description": "Narrative structure: Paint the before, show the after, explain the bridge", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "370a0884-afda-45c4-8cc6-55ae8b885364", "evidence": "Legacy Platforms: 0.1% conversion, $0.07 revenue per send. LTV.ai: 5x conversion, 3x revenue per send.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.5, "extraction": { "at": "2026-07-16 22:37:03.586492+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 4, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Problem Statement Canvas", "slug": "problem-statement-canvas", "status": "active", "bestFor": null, "canonId": "019dd956-839d-744b-ad11-9bf3e3642a18", "version": 1, "bodyDocId": null, "description": "Structured definition of the problem: What? Who? Where? When? Scale?", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "f09eb618-412b-4708-9308-9f99680580e3", "evidence": "Fragmented ‘Omni-Channel’ flows lead to disconnects that create more churn than results", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:37:03.555651+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 4, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [ { "matchId": "9ccceaf9-6e4c-4892-a8cc-03056b68d53f", "evidence": "Contrasts legacy platform performance with LTV.ai performance to frame the problem.", "framework": null, "confidence": 0.9, "extraction": { "at": "2026-05-02 16:09:13.942+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 4, "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": 4, "name": "Problem", "beatId": "625ceb00-50b0-4c1e-99a2-6cd6567dd44a", "matchId": "8038545a-7636-4463-9c73-e0ceb26195ec", "beatType": { "name": "Problem", "slug": "sequoia-pitch-problem", "status": "active", "canonId": "019dd9b8-1ed4-767b-8e05-40e733bd2311", "version": 1, "description": null }, "evidence": "The problem statement is clearly outlined on page 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": 4, "from": 4, "loop": { "name": "06_zoom_in", "slug": "06-zoom-in", "status": "active", "bestFor": "Technical deep-dives, case studies, detailed analysis", "canonId": "019dd956-6846-74db-82be-dff5b058b072", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Big Picture -> Key Area of Focus -> Specific Detail -> Implication", "description": "Start broad, then progressively focus on specific details that prove your point", "familyLabel": null }, "matchId": "df8091ce-4a9f-4b25-9e0d-335aefcbbdb3", "evidence": "The problem statement is clearly outlined on page 4", "position": 2, "objective": "Zoom in on the problem of fragmented ‘Omni-Channel’ flows", "confidence": 0.6, "extraction": { "at": "2026-07-16 21:44:34.763023+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "locked": true }, { "page": 5, "type": "evidence", "title": "Includes a comparison of response rates between legacy email and LTV.ai.", "function": "show_traction", "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": "show_traction", "functionCanon": { "name": "Show traction", "slug": "show_traction", "status": "active", "canonId": "019de52d-16a8-756a-9b38-a7d35420561d", "version": 1, "description": null }, "density": "overcrowded", "densityScore": 87, "componentCount": 11, "textChars": 664, "nDataPoints": 3, "notes": "Includes a comparison of response rates between legacy email and LTV.ai.", "elementsJson": [ "headline_text", "paragraph", "screenshot", "kpi_table" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 16:09:18.548+00", "seconds": 7.424, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5fed-74f2-a96f-fd65fc85660c/5", "deck": "/decks/019dd923-5fed-74f2-a96f-fd65fc85660c", "deckAnchor": "/decks/019dd923-5fed-74f2-a96f-fd65fc85660c#slide-5", "deckJson": "/decks/019dd923-5fed-74f2-a96f-fd65fc85660c.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "Legacy email avg. response rate - 0.2-0.5%", "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 15:32:40+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-cb18-702b-89ba-bfd2aeab6801", "parentComponentId": null }, { "bbox": { "h": 0.35, "w": 0.35, "x": 0.06, "y": 0.25 }, "kind": "image", "text": "Email from Alex at Ministry of Supply", "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 16:09:18.548+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "32d4b16f-8f8a-4257-81c0-bdaf2d5c9a72", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "email reply rate: 3-5%", "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 15:32:40+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-cb18-702b-89ba-c330b2d32bc4", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.4, "x": 0.55, "y": 0.73 }, "kind": "paragraph", "text": "Nice work on personalizing the emails! And thanks for reaching out. We so enjoy your shirts!", "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 16:09:18.548+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "e7760c5b-4d43-4286-bc6a-d8bd7354d8d1", "parentComponentId": null }, { "bbox": { "h": 0.25, "w": 0.4, "x": 0.55, "y": 0.08 }, "kind": "quote", "text": "Alex, good morning. My dress clothes are some of my favorite pcs... This is one of my fav shirts!! Cheers", "attrs": null, "canon": { "kind": { "name": "Quote", "slug": "quote", "status": "active", "canonId": "019de52c-f8fb-751e-8bc6-d58e2d59562a", "version": 1, "description": "Pull quote or testimonial." }, "tool": null, "subkind": { "name": "Testimonial", "slug": "testimonial", "status": "active", "canonId": "019de52c-fc21-71b6-9ac3-8266a64945e8", "version": 1, "description": null }, "framework": null }, "subkind": "testimonial", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:09:18.548+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "16b831a0-8357-40a8-b47e-c2b5f37e7403", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.4, "x": 0.55, "y": 0.6 }, "kind": "quote", "text": "Alex, Pants are rock solid and after 20+ washes still look great. Love the dress shirts and want some more, what do you recommend? Jeff", "attrs": null, "canon": { "kind": { "name": "Quote", "slug": "quote", "status": "active", "canonId": "019de52c-f8fb-751e-8bc6-d58e2d59562a", "version": 1, "description": "Pull quote or testimonial." }, "tool": null, "subkind": { "name": "Testimonial", "slug": "testimonial", "status": "active", "canonId": "019de52c-fc21-71b6-9ac3-8266a64945e8", "version": 1, "description": null }, "framework": null }, "subkind": "testimonial", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:09:18.548+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "cfd4bb9b-22d6-4763-a969-b3e936a0cdd4", "parentComponentId": null }, { "bbox": { "h": 0.02, "w": 0.2, "x": 0.55, "y": 0.8 }, "kind": "source-note", "text": "*Interactions shown are 100% genuine", "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 16:09:18.548+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "0c822269-1cf8-48d3-857b-133b18693b21", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.4, "x": 0.06, "y": 0.73 }, "kind": "table", "text": "Legacy email avg. response rate - 0.2-0.5%", "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": "KPI table", "slug": "kpi", "status": "active", "canonId": "019de52d-0324-7799-a84e-d0885a8ad400", "version": 1, "description": null }, "framework": null }, "subkind": "kpi", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:09:18.548+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "57d31203-d961-4065-b00a-1d1e8207520c", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.4, "x": 0.06, "y": 0.81 }, "kind": "table", "text": "LTV.ai email reply rate - 3-5% Human-in-the-loop AI enabled replies", "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": "KPI table", "slug": "kpi", "status": "active", "canonId": "019de52d-0324-7799-a84e-d0885a8ad400", "version": 1, "description": null }, "framework": null }, "subkind": "kpi", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:09:18.548+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "5d4f0f92-5ff4-4a98-8f87-453d18128d8b", "parentComponentId": null }, { "bbox": { "h": 0.07, "w": 0.4, "x": 0.06, "y": 0.14 }, "kind": "title", "text": "creating valuable feedback loops legacy platforms can't support", "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 16:09:18.548+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "6671537c-cf17-4dc1-a34d-e36be95c8bbe", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.35, "x": 0.06, "y": 0.08 }, "kind": "title", "text": "CONVERSATIONS RE-ENGAGE", "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 16:09:18.548+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "0f736ee0-1265-4be0-bdb6-0958256971c8", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [ { "matchId": "52be207b-4f0e-4209-a81a-729964a48dc2", "evidence": "Comparing legacy email response rates to LTV.ai response rates", "framework": null, "confidence": 0.9, "extraction": { "at": "2026-05-02 16:09:18.548+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 5, "frameworkName": "comparison-frame" } ], "arcBeats": [], "loops": [], "locked": true }, { "page": 6, "type": "resolution", "title": "The slide uses precedent to validate the market size.", "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": "dense", "densityScore": 67, "componentCount": 9, "textChars": 239, "nDataPoints": 6, "notes": "The slide uses precedent to validate the market size.", "elementsJson": [ "headline_text", "logo_grid", "big_number" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 16:09:14.037+00", "seconds": 2.787, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5fed-74f2-a96f-fd65fc85660c/6", "deck": "/decks/019dd923-5fed-74f2-a96f-fd65fc85660c", "deckAnchor": "/decks/019dd923-5fed-74f2-a96f-fd65fc85660c#slide-6", "deckJson": "/decks/019dd923-5fed-74f2-a96f-fd65fc85660c.json" }, "components": [ { "bbox": { "h": 0.05, "w": 0.86, "x": 0.07, "y": 0.45 }, "kind": "image", "text": "Klaviyo, Mailchimp, ExactTarget, Marketo, Wunderkind, Attentive", "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": "Logo grid", "slug": "logo-grid", "status": "active", "canonId": "019de52c-fdd7-7409-93e5-81280a8ca215", "version": 1, "description": null }, "framework": null }, "subkind": "logo-grid", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:09:14.037+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "8e51c5e2-c210-41ad-9985-d074db591999", "parentComponentId": null }, { "bbox": { "h": 0.3, "w": 0.1, "x": 0.07, "y": 0.55 }, "kind": "metric", "text": "$9.8b market cap", "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": null, "subkind": { "name": "Big number", "slug": "big-number", "status": "active", "canonId": "019de52c-fc70-70c8-b965-0584548a9204", "version": 1, "description": null }, "framework": null }, "subkind": "big-number", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:09:14.037+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "0e7fb936-fea7-45f7-adb0-173d11415a96", "parentComponentId": null }, { "bbox": { "h": 0.3, "w": 0.1, "x": 0.67, "y": 0.55 }, "kind": "metric", "text": "$1b+ valuation", "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": null, "subkind": { "name": "Big number", "slug": "big-number", "status": "active", "canonId": "019de52c-fc70-70c8-b965-0584548a9204", "version": 1, "description": null }, "framework": null }, "subkind": "big-number", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:09:14.037+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "27bc6466-a81c-4132-a0f4-e04aa7aed0e1", "parentComponentId": null }, { "bbox": { "h": 0.3, "w": 0.1, "x": 0.22, "y": 0.55 }, "kind": "metric", "text": "$12b acquisition", "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": null, "subkind": { "name": "Big number", "slug": "big-number", "status": "active", "canonId": "019de52c-fc70-70c8-b965-0584548a9204", "version": 1, "description": null }, "framework": null }, "subkind": "big-number", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:09:14.037+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "849a0336-70bd-434d-8c6d-80bf5e2692b2", "parentComponentId": null }, { "bbox": { "h": 0.3, "w": 0.1, "x": 0.37, "y": 0.55 }, "kind": "metric", "text": "$2.5b acquisition", "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": null, "subkind": { "name": "Big number", "slug": "big-number", "status": "active", "canonId": "019de52c-fc70-70c8-b965-0584548a9204", "version": 1, "description": null }, "framework": null }, "subkind": "big-number", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:09:14.037+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "cc909a18-c1cb-46a7-832a-f98f5dc4c43a", "parentComponentId": null }, { "bbox": { "h": 0.3, "w": 0.1, "x": 0.82, "y": 0.55 }, "kind": "metric", "text": "$6.9b valuation", "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": null, "subkind": { "name": "Big number", "slug": "big-number", "status": "active", "canonId": "019de52c-fc70-70c8-b965-0584548a9204", "version": 1, "description": null }, "framework": null }, "subkind": "big-number", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:09:14.037+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "eeeb7239-e265-446d-b732-32fb59eb7956", "parentComponentId": null }, { "bbox": { "h": 0.3, "w": 0.1, "x": 0.52, "y": 0.55 }, "kind": "metric", "text": "$4.8b acquisition", "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": null, "subkind": { "name": "Big number", "slug": "big-number", "status": "active", "canonId": "019de52c-fc70-70c8-b965-0584548a9204", "version": 1, "description": null }, "framework": null }, "subkind": "big-number", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:09:14.037+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "f0b2eea0-6d51-436a-a2ac-b78f4fb2d7d0", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Valuation/Acquisition Price: $15B+", "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 15:32:40+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-cb18-702b-89bb-44e541f35f65", "parentComponentId": null }, { "bbox": { "h": 0.25, "w": 0.86, "x": 0.07, "y": 0.15 }, "kind": "title", "text": "THE $15B+ ECOM MARKETING AUTOMATION OPPORTUNITY", "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 16:09:14.037+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "cf969e9c-b82c-475a-b80d-47eb3717c941", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [ { "matchId": "24d42edd-7fd4-4296-89fc-bb49386c5633", "evidence": "Using established market valuations and acquisitions to prove market potential.", "framework": null, "confidence": 0.9, "extraction": { "at": "2026-05-02 16:09:14.037+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 6, "frameworkName": "authority-citation" } ], "arcBeats": [ { "to": 6, "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": 6, "name": "Market Size", "beatId": "f8abd6b2-f085-4061-bbae-d2caba8d63fe", "matchId": "8038545a-7636-4463-9c73-e0ceb26195ec", "beatType": { "name": "Market Size", "slug": "sequoia-pitch-market-size", "status": "active", "canonId": "019dd9b8-20e6-729c-bc28-05442906d032", "version": 1, "description": null }, "evidence": "The market sizing is presented on page 6", "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": [], "locked": true }, { "page": 7, "type": "setup", "title": "The slide shows a side-by-side view of an email draft and the corresponding customer profile data used to generate it.", "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": 34, "componentCount": 5, "textChars": 164, "nDataPoints": 0, "notes": "The slide shows a side-by-side view of an email draft and the corresponding customer profile data used to generate it.", "elementsJson": [ "headline_text", "screenshot", "other" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 16:09:13.712+00", "seconds": 2.438, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5fed-74f2-a96f-fd65fc85660c/7", "deck": "/decks/019dd923-5fed-74f2-a96f-fd65fc85660c", "deckAnchor": "/decks/019dd923-5fed-74f2-a96f-fd65fc85660c#slide-7", "deckJson": "/decks/019dd923-5fed-74f2-a96f-fd65fc85660c.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "OUR AI-ENABLED OPTIMIZATION unlocks automated revenue growth", "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 15:32:40+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-cb18-702b-89bb-1412ee95387d", "parentComponentId": null }, { "bbox": { "h": 0.6, "w": 0.35, "x": 0.6, "y": 0.025 }, "kind": "image", "text": "Customer profile sidebar", "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 16:09:13.712+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "368ee9f3-780a-4cff-90b4-028e63fe78e9", "parentComponentId": null }, { "bbox": { "h": 0.6, "w": 0.45, "x": 0.05, "y": 0.25 }, "kind": "image", "text": "Email draft 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 16:09:13.712+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "7c15d6d5-25dd-4bcf-b61d-15ac26362c4b", "parentComponentId": null }, { "bbox": { "h": 0.04, "w": 0.35, "x": 0.07, "y": 0.15 }, "kind": "title", "text": "unlocks automated revenue growth", "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 16:09:13.712+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "9be5aea6-0c32-47a5-97f4-662f812622e3", "parentComponentId": null }, { "bbox": { "h": 0.06, "w": 0.45, "x": 0.07, "y": 0.08 }, "kind": "title", "text": "OUR AI-ENABLED OPTIMIZATION", "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 16:09:13.712+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "39b482e8-9115-4411-abbd-9b940e894cc9", "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": 7, "name": "Product", "beatId": "47a729e2-2df3-44cf-8dec-28892127f285", "matchId": "8038545a-7636-4463-9c73-e0ceb26195ec", "beatType": { "name": "Product", "slug": "sequoia-pitch-product", "status": "active", "canonId": "019dd9b8-2259-77df-a937-8b665c8066fe", "version": 1, "description": null }, "evidence": "The product demo is shown on pages 7-8", "position": 2, "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": [], "locked": true }, { "page": 8, "type": "setup", "title": "The slide uses a 'before-after' style logic by showing the input variables on the right and the resulting personalized email on the left.", "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": 42, "componentCount": 5, "textChars": 303, "nDataPoints": 0, "notes": "The slide uses a 'before-after' style logic by showing the input variables on the right and the resulting personalized email on the left.", "elementsJson": [ "headline_text", "action_title", "screenshot", "data_table" ], "confidence": 0.95, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 16:09:14.606+00", "seconds": 3.244, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5fed-74f2-a96f-fd65fc85660c/8", "deck": "/decks/019dd923-5fed-74f2-a96f-fd65fc85660c", "deckAnchor": "/decks/019dd923-5fed-74f2-a96f-fd65fc85660c#slide-8", "deckJson": "/decks/019dd923-5fed-74f2-a96f-fd65fc85660c.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "Genuine Interaction", "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 15:32:40+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-cb18-702b-89bb-6e0242fd1da8", "parentComponentId": null }, { "bbox": { "h": 0.6, "w": 0.2, "x": 0.38, "y": 0.032 }, "kind": "diagram", "text": "Three-step optimization process: Segment Aware Outreach, Climate Relative Recommendations, Promo Optimization", "attrs": null, "canon": { "kind": { "name": "Diagram", "slug": "diagram", "status": "active", "canonId": "019de52c-f9f0-734a-81de-15382ff28c65", "version": 1, "description": "Schematic or relational diagram." }, "tool": null, "subkind": { "name": "Process flow", "slug": "process", "status": "active", "canonId": "019de52d-039c-718f-ad3a-efe9c4b3c838", "version": 1, "description": null }, "framework": null }, "subkind": "process", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:09:14.606+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "6f45da5a-2e4a-47c1-8e51-fabca1b294eb", "parentComponentId": null }, { "bbox": { "h": 0.6, "w": 0.35, "x": 0.06, "y": 0.25 }, "kind": "image", "text": "Email interface showing personalized outreach to Marcus", "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 16:09:14.606+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "2f5467a0-7c6a-48b0-92e8-f18145e24c41", "parentComponentId": null }, { "bbox": { "h": 0.9, "w": 0.3, "x": 0.065, "y": 0.05 }, "kind": "table", "text": "Input variables for Active, At-Risk, and Lapsed customer segments", "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 16:09:14.606+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "bb57598e-9391-4149-98cd-14a10c2823fc", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.4, "x": 0.06, "y": 0.08 }, "kind": "title", "text": "HOW OUR AI OPTIMIZES & unlocks automated revenue growth", "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 16:09:14.606+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "e44a4072-30df-4acf-a26e-431e421e8b0b", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [ { "matchId": "01f499cb-a586-466f-a0ad-d328b5e7fdb2", "evidence": "Shows input data variables leading to a personalized output email", "framework": null, "confidence": 0.8, "extraction": { "at": "2026-05-02 16:09:14.606+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 8, "frameworkName": "before-after-framing" } ], "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": 7, "name": "Product", "beatId": "47a729e2-2df3-44cf-8dec-28892127f285", "matchId": "8038545a-7636-4463-9c73-e0ceb26195ec", "beatType": { "name": "Product", "slug": "sequoia-pitch-product", "status": "active", "canonId": "019dd9b8-2259-77df-a937-8b665c8066fe", "version": 1, "description": null }, "evidence": "The product demo is shown on pages 7-8", "position": 2, "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": [], "locked": true }, { "page": 9, "type": "evidence", "function": "show_traction", "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": "show_traction", "functionCanon": { "name": "Show traction", "slug": "show_traction", "status": "active", "canonId": "019de52d-16a8-756a-9b38-a7d35420561d", "version": 1, "description": null }, "density": "overcrowded", "densityScore": 75, "componentCount": 8, "textChars": 652, "nDataPoints": 0, "notes": null, "elementsJson": [ "action_title", "quote_block", "headshot", "logo_grid" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 16:09:14.339+00", "seconds": 2.901, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5fed-74f2-a96f-fd65fc85660c/9", "deck": "/decks/019dd923-5fed-74f2-a96f-fd65fc85660c", "deckAnchor": "/decks/019dd923-5fed-74f2-a96f-fd65fc85660c#slide-9", "deckJson": "/decks/019dd923-5fed-74f2-a96f-fd65fc85660c.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "Our partnership with LTV.ai has already resulted in a double digit % increase in customer LTV, which has resulted in a nearly one to one increase in profitability.", "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 15:32:40+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-cb18-702b-89ba-f5fb4cdf5737", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.08, "x": 0.4, "y": 0.65 }, "kind": "image", "text": "Andrew Templeton", "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": "Headshot", "slug": "headshot", "status": "active", "canonId": "019de52c-fd5f-765c-9282-38b54f61bbbf", "version": 1, "description": null }, "framework": null }, "subkind": "headshot", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:09:14.339+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "39ab734b-04af-408c-a0cd-20586c4b2f05", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.3, "x": 0.05, "y": 0.4 }, "kind": "image", "text": "ONE KINGS LANE", "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": "Logo", "slug": "logo", "status": "active", "canonId": "019de52c-fdaf-743d-94c4-d7c6a0e55302", "version": 1, "description": null }, "framework": null }, "subkind": "logo", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:09:14.339+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "4e3d00ec-7976-4935-8da0-82433ba01052", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "customer LTV", "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 15:32:40+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-cb18-702b-89ba-fc75219a7122", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.3, "x": 0.5, "y": 0.68 }, "kind": "paragraph", "text": "Andrew Templeton, Officer, One Kings Lane", "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 16:09:14.339+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "0822abaf-26c9-4c46-a910-5426019a86a8", "parentComponentId": null }, { "bbox": { "h": 0.3, "w": 0.5, "x": 0.4, "y": 0.4 }, "kind": "quote", "text": "Our partnership with LTV.ai has already resulted in a double digit % increase in customer LTV, which has resulted in a nearly one to one increase in profitability.", "attrs": null, "canon": { "kind": { "name": "Quote", "slug": "quote", "status": "active", "canonId": "019de52c-f8fb-751e-8bc6-d58e2d59562a", "version": 1, "description": "Pull quote or testimonial." }, "tool": null, "subkind": { "name": "Testimonial", "slug": "testimonial", "status": "active", "canonId": "019de52c-fc21-71b6-9ac3-8266a64945e8", "version": 1, "description": null }, "framework": null }, "subkind": "testimonial", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:09:14.339+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "d0f21309-8d9e-4de1-a996-697571f03b94", "parentComponentId": null }, { "bbox": null, "kind": "quote", "text": "Our partnership with LTV.ai has already resulted in a double digit % increase in customer LTV, which has resulted in a nearly one to one increase in profitability. — Andrew Templeton, Officer, One Kings Lane", "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 15:32:40+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-cb18-702b-89ba-f8c89e6cf296", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.6, "x": 0.05, "y": 0.1 }, "kind": "title", "text": "AND THE RESULTS SPEAK FOR THEMSELVES", "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 16:09:14.339+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "b2a69563-dd2c-471b-bfa0-2ccbae073117", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [ { "matchId": "626fb1f7-8833-476b-b023-4a2c7cfbec4f", "evidence": "Using a customer testimonial to validate claims.", "framework": null, "confidence": 0.9, "extraction": { "at": "2026-05-02 16:09:14.339+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 9, "frameworkName": "authority-citation" } ], "arcBeats": [], "loops": [], "locked": true }, { "page": 10, "type": "setup", "function": "inspire_vision", "rawType": "vision", "block": null, "metadata": { "slideType": "vision", "slideTypeCanon": { "name": "Vision", "slug": "vision", "status": "active", "canonId": "019de52d-0f7e-7689-8010-992b1a43b6b9", "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": "balanced", "densityScore": 44, "componentCount": 5, "textChars": 340, "nDataPoints": 0, "notes": null, "elementsJson": [ "headline_text", "action_title", "logo_grid" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 16:09:13.874+00", "seconds": 2.109, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5fed-74f2-a96f-fd65fc85660c/10", "deck": "/decks/019dd923-5fed-74f2-a96f-fd65fc85660c", "deckAnchor": "/decks/019dd923-5fed-74f2-a96f-fd65fc85660c#slide-10", "deckJson": "/decks/019dd923-5fed-74f2-a96f-fd65fc85660c.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "Harnessing AI to eliminate all of the repetitive, subpar marketing motions across multiple industries", "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 15:32:42+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-cb18-702b-89bc-c87b8606682b", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.15, "x": 0.04, "y": 0.15 }, "kind": "image", "text": "ltv.ai logo", "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": "Logo", "slug": "logo", "status": "active", "canonId": "019de52c-fdaf-743d-94c4-d7c6a0e55302", "version": 1, "description": null }, "framework": null }, "subkind": "logo", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:09:13.874+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "b10fe87c-3e33-4310-b459-1fb4cea61d9f", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.9, "x": 0.05, "y": 0.65 }, "kind": "image", "text": "Hilton, American Express, Walgreens, Netflix, Udemy", "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": "Logo grid", "slug": "logo-grid", "status": "active", "canonId": "019de52c-fdd7-7409-93e5-81280a8ca215", "version": 1, "description": null }, "framework": null }, "subkind": "logo-grid", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:09:13.874+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "fc7691fb-9e53-4ee7-bd8f-f86c83ea17f4", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.5, "x": 0.27, "y": 0.45 }, "kind": "subtitle", "text": "Harnessing AI to eliminate all of the repetitive, subpar marketing motions across multiple industries", "attrs": null, "canon": { "kind": { "name": "Subtitle", "slug": "subtitle", "status": "active", "canonId": "82d821ee-2793-42e7-8f16-c6131385a3ce", "version": 1, "description": "Header-zone supporting text near the title (= ex body.description with bbox)." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:09:13.874+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "03bdd02b-94c8-4515-b9fe-e786cbddd73e", "parentComponentId": null }, { "bbox": { "h": 0.25, "w": 0.65, "x": 0.27, "y": 0.15 }, "kind": "title", "text": "WHILE WE'RE STARTING IN EMAIL & SMS FOR ECOMMERCE, OUR VISION IS MUCH BIGGER", "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 16:09:13.874+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "5bc7d11d-ff4b-4534-b69e-490d9b53d88a", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 10, "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": 10, "name": "Vision", "beatId": "e3c93871-1a8b-4c02-979a-981d2bffeb00", "matchId": "8038545a-7636-4463-9c73-e0ceb26195ec", "beatType": null, "evidence": "The vision is outlined on page 10", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [], "locked": true } ], "arcBeats": [ { "from": 4, "to": 4, "label": "Problem", "description": "The problem statement is clearly outlined on page 4" }, { "from": 6, "to": 6, "label": "Market Size", "description": "The market sizing is presented on page 6" }, { "from": 7, "to": 8, "label": "Product", "description": "The product demo is shown on pages 7-8" }, { "from": 10, "to": 10, "label": "Vision", "description": "The vision is outlined on page 10" } ], "loops": [ { "from": 2, "to": 2, "label": "Cost Of Inaction", "description": "Why now is the time for AI-native marketing" }, { "from": 2, "to": 2, "label": "Why Now", "description": "Why now is the time for AI-native marketing" }, { "from": 4, "to": 4, "label": "Zoom In", "description": "Zoom in on the problem of fragmented ‘Omni-Channel’ flows" } ] }