{ "schemaVersion": "deck-intelligence.v1", "id": "019dd923-5fec-763b-95d2-392eb973825d", "slug": "bi-18d49b945dd893d5", "title": "EnCharge AI has secured $100 million in a Tiger Global-led round", "subtitle": "EnCharge AI", "author": "EnCharge AI", "pageCount": 9, "kind": "pitchdeck", "orientation": "landscape", "aspectRatio": 1.776, "document": { "id": "019dd923-5fec-763b-95d2-392eb973825d", "slug": "bi-18d49b945dd893d5", "title": "EnCharge AI has secured $100 million in a Tiger Global-led round", "rawTitle": "EnCharge AI has secured $100 million in a Tiger Global-led round", "authorId": "Pitchdecks", "authorName": "EnCharge AI", "authorDisplay": "EnCharge AI", "kind": { "slug": "pitchdeck", "label": "Pitch deck" }, "sourceType": { "slug": "strategy_consulting", "label": "Strategy consulting" }, "fileName": "Encharge-bi-18d49.pdf", "sourceUrl": "https://www.businessinsider.com/encharge-ai-funding-tiger-global-pitch-deck-2025-2", "sourceDate": "2025-02-13 00:00:00", "presentationDate": null, "ingestedAt": "2026-04-27 10:01:16.458+00", "status": "ready", "pageCount": 9, "orientation": "landscape", "aspectRatio": 1.776, "targetCompany": null, "targetTicker": null, "metadata": { "local_root": "/tmp/legacy-images/bi-18d49b945dd893d5", "origin_corpus": "consulting" } }, "coverage": { "pageCount": 9, "pagesIndexed": 9, "pagesWithImages": 9, "pagesWithMetadata": 9, "imageCoveragePct": 100, "metadataCoveragePct": 100, "componentCount": 68, "chartCount": 3, "metricSlides": 0, "toolMatches": 1, "documentToolMatches": 0, "frameworkMatches": 4, "arcMatches": 1, "beatMatches": 4, "loopMatches": 2, "patternMatches": 0, "storymakersMatch": false, "scoreAvailable": false, "reviewAvailable": false, "activistThesisAvailable": false, "pitchdeckMetadataAvailable": true, "pitchdeckProfileAvailable": true }, "blocks": [], "matches": { "arcs": [ { "arc": { "name": "The Sequoia Pitch", "slug": "sequoia-pitch", "status": "active", "bestFor": "Investor pitches, Series A/B, board presentations", "canonId": "019dd956-5e69-75a7-a0a4-895ac1bc0444", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Problem -> Solution -> Why Now -> Market Size -> Competition -> Product -> Business Model -> Team -> Financials -> The Ask", "description": null, "familyLabel": null, "categoryName": "Strategy & Business", "categorySlug": "strategy-business" }, "matchId": "ab07690e-db7b-4110-b7b0-6866c715b353", "evidence": "The deck follows a structure similar to the Sequoia Pitch, with slides on problem, solution, market, and team.", "isPrimary": true, "confidence": 0.8, "extraction": { "at": "2026-07-16 21:42:54.687121+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "beats": [ { "to": 9, "arc": { "name": "The Sequoia Pitch", "slug": "sequoia-pitch", "status": "active", "bestFor": "Investor pitches, Series A/B, board presentations", "canonId": "019dd956-5e69-75a7-a0a4-895ac1bc0444", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Problem -> Solution -> Why Now -> Market Size -> Competition -> Product -> Business Model -> Team -> Financials -> The Ask", "description": null, "familyLabel": null, "categoryName": "Strategy & Business", "categorySlug": "strategy-business" }, "from": 2, "name": "Why Now", "beatId": "52645d6e-6a3a-4596-9272-b7ec79ea18de", "matchId": "ab07690e-db7b-4110-b7b0-6866c715b353", "beatType": { "name": "Why Now", "slug": "sequoia-pitch-why-now", "status": "active", "canonId": "019dd9b8-204f-77ee-82c8-8ebaf0870ff9", "version": 1, "description": null }, "evidence": "The deck starts with a 'why now' section, emphasizing the timeliness of EnCharge AI's solution.", "position": 0, "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": 4, "arc": { "name": "The Sequoia Pitch", "slug": "sequoia-pitch", "status": "active", "bestFor": "Investor pitches, Series A/B, board presentations", "canonId": "019dd956-5e69-75a7-a0a4-895ac1bc0444", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Problem -> Solution -> Why Now -> Market Size -> Competition -> Product -> Business Model -> Team -> Financials -> The Ask", "description": null, "familyLabel": null, "categoryName": "Strategy & Business", "categorySlug": "strategy-business" }, "from": 2, "name": "Problem", "beatId": "56ecff4c-756b-4815-83f0-49d6192caeba", "matchId": "ab07690e-db7b-4110-b7b0-6866c715b353", "beatType": { "name": "Problem", "slug": "sequoia-pitch-problem", "status": "active", "canonId": "019dd9b8-1ed4-767b-8e05-40e733bd2311", "version": 1, "description": null }, "evidence": "The deck presents the industry limitations and the need for EnCharge AI's solution.", "position": 1, "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": 5, "name": "Solution", "beatId": "9ac375f4-77b5-467e-96d8-76ab459f8992", "matchId": "ab07690e-db7b-4110-b7b0-6866c715b353", "beatType": { "name": "Solution", "slug": "sequoia-pitch-solution", "status": "active", "canonId": "019dd9b8-1fb1-71d9-a260-07738d7f9c2f", "version": 1, "description": null }, "evidence": "The deck highlights EnCharge AI's competitive advantage and efficiency.", "position": 2, "isPrimaryArc": true, "parentBeatType": { "name": "Turn", "slug": "turn", "status": "active", "canonId": "019dd9b8-0396-702b-ac2f-9901f8dd8b54", "version": 1, "description": "The pivot — solution proposed, catalyst introduced, decision made. Common (15/20 arcs) but not universal: Triple-take, AIDA, PAS, Voyage-return and Pixar substitute it with a strong reflection or development beat." }, "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": "Team", "beatId": "1a28b5ad-833e-4fd9-8caf-6b0a318a52bf", "matchId": "ab07690e-db7b-4110-b7b0-6866c715b353", "beatType": { "name": "Team", "slug": "sequoia-pitch-team", "status": "active", "canonId": "019dd9b8-23c9-746f-aaf9-2f5d83892cf3", "version": 1, "description": null }, "evidence": "The deck showcases EnCharge AI's leadership and team bios.", "position": 3, "isPrimaryArc": true, "parentBeatType": { "name": "Evidence", "slug": "evidence", "status": "active", "canonId": "019dd9b8-03f9-772a-b84a-4f07b415b77a", "version": 1, "description": "A dedicated proof beat exists in only ~4 arcs (Gambit, Sequoia, AIDA, Monroes). Other arcs embed evidence inline within development." }, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [ { "to": 9, "from": 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": "3b1c1d59-d5bd-4d79-9c8e-583f226d8368", "evidence": "The deck dedicates multiple slides to the 'why now' section.", "position": 0, "objective": "Explain why EnCharge AI is timely", "confidence": 0.8, "extraction": { "at": "2026-07-16 21:42:54.882031+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } }, { "to": 4, "from": 2, "loop": { "name": "11_golden_circle", "slug": "11-golden-circle", "status": "active", "bestFor": "Visionary leadership, brand positioning, mission statements", "canonId": "019dd956-6a50-7202-882d-505fcb9922ed", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Why (Belief) -> The How (Process) -> The What (Result)", "description": "Invert the typical pitch by starting with why you exist, rather than what you do", "familyLabel": null, "categoryName": "Vision", "categorySlug": "vision" }, "matchId": "f2b00b74-9da9-4fe8-9c69-e063c844206c", "evidence": "The deck presents the industry limitations and EnCharge AI's competitive advantage.", "position": 1, "objective": "Explain the industry need and EnCharge AI's solution", "confidence": 0.7, "extraction": { "at": "2026-07-16 21:42:54.921541+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "tools": [ { "tool": { "name": "Slide recipe: Cover", "slug": "cover-slide", "status": "active", "bestFor": null, "canonId": "019df269-2a08-767d-9128-e7431e6fe8a3", "version": 1, "bodyDocId": "019df269-29e5-7738-b5fa-6892e5dc8e65", "description": "The first ten seconds. Build it deliberately.", "familyLabel": "slide-recipe", "categoryName": "Slide", "categorySlug": "slide" }, "agent": "designer", "layer": "slide", "agents": [ "designer" ], "matchId": "b05f2ac3-0751-4a53-a286-84b201cbe63e", "evidence": "Unlocking AI from Edge to Cloud", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.9, "extraction": { "at": "2026-07-16 22:35:01.894123+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 1, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [ { "matchId": "3f1b4467-f942-48d3-9e28-074444f5888b", "evidence": "Uses quotes from The Register, WSJ, and IEEE Spectrum to support the argument.", "framework": null, "confidence": 0.9, "extraction": { "at": "2026-05-02 16:13:37.273+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 2, "frameworkName": "authority-citation" }, { "matchId": "0df91f57-5560-4be3-98cb-7129cf85dd64", "evidence": "Citing Intel, Microsoft, and IDC to build credibility.", "framework": null, "confidence": 0.9, "extraction": { "at": "2026-05-02 16:13:34.901+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 3, "frameworkName": "authority-citation" }, { "matchId": "b5630ac3-9cf5-4483-a8c1-5c453a2bbf5a", "evidence": "Contrasts Datacenter vs AI PC market segments to highlight competitive advantage.", "framework": null, "confidence": 0.9, "extraction": { "at": "2026-05-02 16:13:34.829+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 4, "frameworkName": "comparison-frame" }, { "matchId": "86cbf473-2442-4f6d-9962-f4ffd51ea590", "evidence": "The slide uses a numbered list to structure five key arguments.", "framework": null, "confidence": 0.9, "extraction": { "at": "2026-05-02 16:13:35.715+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 9, "frameworkName": "list-presentation" } ], "patterns": [] }, "storymakers": null, "score": null, "review": null, "activistThesis": null, "pitchdeck": { "metadata": { "author": "Riddhi Kanetkar", "fireId": "bi-18d49b945dd893d5", "sector": null, "deckKind": "fundraise", "roundRaw": null, "amountRaw": "$100 million", "amountUsd": "100000000", "scrapedAt": "2026-04-27 10:01:16.458+00", "sectorRaw": null, "sourceUrl": "https://www.businessinsider.com/encharge-ai-funding-tiger-global-pitch-deck-2025-2", "deckKindAt": "2026-04-28 07:19:06+00", "highlights": "EnCharge is developing in-memory chip technology to run AI operations more efficiently so computations can take place on local devices.", "slideCount": 9, "companyName": "Encharge", "description": "EnCharge is developing in-memory chip technology to run AI operations more efficiently so computations can take place on local devices.", "displayName": "Encharge", "publishDate": "2025-02-13", "roundSeries": null, "articleTitle": "EnCharge AI has secured $100 million in a Tiger Global-led round", "leadInvestors": "Tiger Global", "deckKindSignal": "secured $", "metaExtractedAt": "2026-04-28 07:16:02+00" }, "profile": { "scores": { "yc": 0.2954, "a16z": 0.1381, "docsend": 0.2538, "hoffman": 0.3652, "mcclure": 0.3167, "sequoia": 0.3672, "kawasaki": 0.2667, "nextview": 0.203, "slidebean": 0.2205, "founder_institute": 0.1937 }, "nSlides": 9, "sequence": [ "cover", "why_now", "why_now", "competitive_analysis", "unfair_advantage", "unfair_advantage", "team_bio", "team_bio", "key_takeaways" ], "breakdown": { "yc": { "order": 0.3333, "signal": 0.08, "jaccard": 0.2308 }, "a16z": { "order": 0.2222, "signal": 0, "jaccard": 0.1429 }, "docsend": { "order": 0.3333, "signal": 0, "jaccard": 0.3077 }, "hoffman": { "order": 0.4444, "signal": 0.05, "jaccard": 0.3636 }, "mcclure": { "order": 0.3333, "signal": 0.05, "jaccard": 0.3333 }, "sequoia": { "order": 0.4444, "signal": 0.08, "jaccard": 0.3077 }, "kawasaki": { "order": 0.3333, "signal": 0, "jaccard": 0.3333 }, "nextview": { "order": 0.2222, "signal": 0, "jaccard": 0.2727 }, "slidebean": { "order": 0.2222, "signal": 0, "jaccard": 0.3077 }, "founder_institute": { "order": 0.3333, "signal": 0, "jaccard": 0.1875 } }, "matchedAt": "2026-04-27 21:51:54+00", "noveltyScore": 0.7828, "primaryScore": 0.3672, "noveltySignals": [ "rare slide types: why_now", "non-canonical types: key_takeaways" ], "primaryProfile": "sequoia", "secondaryScore": 0.3652, "secondaryProfile": "hoffman" } }, "slides": [ { "page": 1, "type": "setup", "function": "front_matter", "imagePath": "https://imgproxy.kitesheet.com/5_W6llJMq-aqHg3EpvRv1JrXVY4E9y-6LZoMJKazcvs/rs:fit:1200:1200:0/q:82/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy9iaS0xOGQ0OWI5NDVkZDg5M2Q1L3AwMDEuanBn", "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": 31, "componentCount": 5, "textChars": 118, "nDataPoints": 0, "notes": null, "elementsJson": [ "headline_text", "photo" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 16:13:33.703+00", "seconds": 2.968, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5fec-763b-95d2-392eb973825d/1", "deck": "/decks/019dd923-5fec-763b-95d2-392eb973825d", "deckAnchor": "/decks/019dd923-5fec-763b-95d2-392eb973825d#slide-1", "deckJson": "/decks/019dd923-5fec-763b-95d2-392eb973825d.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "Unlocking AI from Edge to Cloud", "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 14:53:10+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-abe9-733c-81aa-0a2a4fb8c280", "parentComponentId": null }, { "bbox": { "h": 1, "w": 1, "x": 0, "y": 0 }, "kind": "image", "text": "Processor chip background", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Photo", "slug": "photo", "status": "active", "canonId": "019de52c-fd37-757f-b4a8-ca26d4888875", "version": 1, "description": null }, "framework": null }, "subkind": "photo", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:13:33.703+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "195f69d7-70f4-400d-a6ba-92c6401d7677", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.2, "x": 0.78, "y": 0.93 }, "kind": "paragraph", "text": "Company Introduction", "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 16:13:33.703+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "95e65c2e-ee7b-470a-84ad-6b5b535e0aab", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.465, "x": 0.19, "y": 0.185 }, "kind": "title", "text": "EnCharge AI", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:13:33.703+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "f5753716-bb22-4bb3-9983-c03246e7cfe1", "parentComponentId": null }, { "bbox": { "h": 0.04, "w": 0.465, "x": 0.08, "y": 0.365 }, "kind": "title", "text": "Unlocking AI from Edge to Cloud", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Subtitle", "slug": "subtitle", "status": "active", "canonId": "019de52c-fb09-739d-900c-815b0d9ac526", "version": 1, "description": null }, "framework": null }, "subkind": "subtitle", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:13:33.703+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "509a5525-8afa-4e5a-b3d4-c8587f6e8280", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Slide recipe: Cover", "slug": "cover-slide", "status": "active", "bestFor": null, "canonId": "019df269-2a08-767d-9128-e7431e6fe8a3", "version": 1, "bodyDocId": "019df269-29e5-7738-b5fa-6892e5dc8e65", "description": "The first ten seconds. Build it deliberately.", "familyLabel": "slide-recipe", "categoryName": "Slide", "categorySlug": "slide" }, "agent": "designer", "layer": "slide", "agents": [ "designer" ], "matchId": "b05f2ac3-0751-4a53-a286-84b201cbe63e", "evidence": "Unlocking AI from Edge to Cloud", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.9, "extraction": { "at": "2026-07-16 22:35:01.894123+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 1, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [], "loops": [], "thumbSrc": "https://imgproxy.kitesheet.com/UF918QznP4jkvxxsRNk0TmdPJy_cF3l6Yazf7jxbYLs/rs:fit:480:480:0/q:78/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy9iaS0xOGQ0OWI5NDVkZDg5M2Q1L3AwMDEuanBn", "imagePathAlt": "https://imgproxy.kitesheet.com/V5rCqd8M9O2Q7l4y_43s7pSNaHjhNYeMWoiXvwc2Fvk/rs:fit:1200:1200:0/q:82/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy9iaS0xOGQ0OWI5NDVkZDg5M2Q1L3AwMDEucG5n", "thumbSrcAlt": "https://imgproxy.kitesheet.com/slN6o_vdvsxzK_S9Nb2-abJiifRu0ct8cg2X_MQ3gmY/rs:fit:480:480:0/q:78/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy9iaS0xOGQ0OWI5NDVkZDg5M2Q1L3AwMDEucG5n" }, { "page": 2, "type": "setup", "title": "Uses authority citations (The Register, WSJ, IEEE Spectrum) to validate the problem statement.", "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": "overcrowded", "densityScore": 84, "componentCount": 8, "textChars": 957, "nDataPoints": 1, "notes": "Uses authority citations (The Register, WSJ, IEEE Spectrum) to validate the problem statement.", "elementsJson": [ "headline_text", "action_title", "quote_block", "icon_grid" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 16:13:37.273+00", "seconds": 6.406, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5fec-763b-95d2-392eb973825d/2", "deck": "/decks/019dd923-5fec-763b-95d2-392eb973825d", "deckAnchor": "/decks/019dd923-5fec-763b-95d2-392eb973825d#slide-2", "deckJson": "/decks/019dd923-5fec-763b-95d2-392eb973825d.json" }, "components": [ { "bbox": { "h": 0.4, "w": 0.2, "x": 0.75, "y": 0.27 }, "kind": "callout", "text": "Decentralized AI: Client computing (PCs, phones, XR), Defense, automotive, industrial, On-prem & edge servers", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": null, "subkind": { "name": "Primary callout", "slug": "primary", "status": "active", "canonId": "019de52c-fbd1-70eb-a9ce-8997f8674c1d", "version": 1, "description": null }, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:13:37.273+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "1ce06fc4-af8a-4956-808c-c496743a8257", "parentComponentId": null }, { "bbox": null, "kind": "callout", "text": "The next wave of Gen-AI requires breaking out of datacenter limitations", "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 14:53:09+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-abe9-733c-81a9-c9e0ec9b95f4", "parentComponentId": null }, { "bbox": { "h": 0.3, "w": 0.2, "x": 0.51, "y": 0.34 }, "kind": "list", "text": "Experience: Run at lightning speed on your laptop... Personalized, private, AI so seamless you might forget it's 'AI' at all.", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:13:37.273+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "10b08efe-4dd6-475e-8d4e-51712427929d", "parentComponentId": null }, { "bbox": { "h": 0.3, "w": 0.2, "x": 0.28, "y": 0.34 }, "kind": "list", "text": "Security: Most CIOs prioritize preventing data leak outside their domain or becoming training data for 3rd-party models.", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:13:37.273+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "52d75d1f-1732-40d6-829b-9172e9204933", "parentComponentId": null }, { "bbox": { "h": 0.3, "w": 0.2, "x": 0.05, "y": 0.34 }, "kind": "list", "text": "Cost: Microsoft is reportedly losing up to $80 a month per user on its GitHub Copilot services", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:13:37.273+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "ee015b8b-b365-4cc4-a205-abd80813fc35", "parentComponentId": null }, { "bbox": null, "kind": "quote", "text": "Microsoft is reportedly losing up to $80 a month per user on its GitHub Copilot services (The Register); Most CIOs prioritize preventing data leak outside their domain or becoming training data for 3rd-party models (WSJ); Run at lightning speed on your laptop... Personalized, private, AI so seamless you might forget it's 'AI' at all (IEEE Spectrum).", "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 14:53:09+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-abe9-733c-81a9-cf7371cf804a", "parentComponentId": null }, { "bbox": { "h": 0.04, "w": 0.6, "x": 0.05, "y": 0.12 }, "kind": "title", "text": "The next wave of Gen-AI requires breaking out of datacenter limitations", "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 16:13:37.273+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "a05a4ef2-a144-40d6-8a76-faa444ffd499", "parentComponentId": null }, { "bbox": { "h": 0.06, "w": 0.25, "x": 0.05, "y": 0.05 }, "kind": "title", "text": "Decentralized AI", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:13:37.273+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "932ec185-92be-47f7-b9a4-46500af8882c", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [ { "matchId": "3f1b4467-f942-48d3-9e28-074444f5888b", "evidence": "Uses quotes from The Register, WSJ, and IEEE Spectrum to support the argument.", "framework": null, "confidence": 0.9, "extraction": { "at": "2026-05-02 16:13:37.273+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 2, "frameworkName": "authority-citation" } ], "arcBeats": [ { "to": 9, "arc": { "name": "The Sequoia Pitch", "slug": "sequoia-pitch", "status": "active", "bestFor": "Investor pitches, Series A/B, board presentations", "canonId": "019dd956-5e69-75a7-a0a4-895ac1bc0444", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Problem -> Solution -> Why Now -> Market Size -> Competition -> Product -> Business Model -> Team -> Financials -> The Ask", "description": null, "familyLabel": null }, "from": 2, "name": "Why Now", "beatId": "52645d6e-6a3a-4596-9272-b7ec79ea18de", "matchId": "ab07690e-db7b-4110-b7b0-6866c715b353", "beatType": { "name": "Why Now", "slug": "sequoia-pitch-why-now", "status": "active", "canonId": "019dd9b8-204f-77ee-82c8-8ebaf0870ff9", "version": 1, "description": null }, "evidence": "The deck starts with a 'why now' section, emphasizing the timeliness of EnCharge AI's solution.", "position": 0, "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": 4, "arc": { "name": "The Sequoia Pitch", "slug": "sequoia-pitch", "status": "active", "bestFor": "Investor pitches, Series A/B, board presentations", "canonId": "019dd956-5e69-75a7-a0a4-895ac1bc0444", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Problem -> Solution -> Why Now -> Market Size -> Competition -> Product -> Business Model -> Team -> Financials -> The Ask", "description": null, "familyLabel": null }, "from": 2, "name": "Problem", "beatId": "56ecff4c-756b-4815-83f0-49d6192caeba", "matchId": "ab07690e-db7b-4110-b7b0-6866c715b353", "beatType": { "name": "Problem", "slug": "sequoia-pitch-problem", "status": "active", "canonId": "019dd9b8-1ed4-767b-8e05-40e733bd2311", "version": 1, "description": null }, "evidence": "The deck presents the industry limitations and the need for EnCharge AI's solution.", "position": 1, "isPrimaryArc": true, "parentBeatType": { "name": "Complication", "slug": "complication", "status": "active", "canonId": "019dd9b8-0275-7709-b2d6-4f77c3fc7579", "version": 1, "description": "The point in the narrative where the audience should feel discomfort. Required for argumentative arcs." }, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [ { "to": 9, "from": 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": "3b1c1d59-d5bd-4d79-9c8e-583f226d8368", "evidence": "The deck dedicates multiple slides to the 'why now' section.", "position": 0, "objective": "Explain why EnCharge AI is timely", "confidence": 0.8, "extraction": { "at": "2026-07-16 21:42:54.882031+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } }, { "to": 4, "from": 2, "loop": { "name": "11_golden_circle", "slug": "11-golden-circle", "status": "active", "bestFor": "Visionary leadership, brand positioning, mission statements", "canonId": "019dd956-6a50-7202-882d-505fcb9922ed", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Why (Belief) -> The How (Process) -> The What (Result)", "description": "Invert the typical pitch by starting with why you exist, rather than what you do", "familyLabel": null }, "matchId": "f2b00b74-9da9-4fe8-9c69-e063c844206c", "evidence": "The deck presents the industry limitations and EnCharge AI's competitive advantage.", "position": 1, "objective": "Explain the industry need and EnCharge AI's solution", "confidence": 0.7, "extraction": { "at": "2026-07-16 21:42:54.921541+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "locked": true }, { "page": 3, "type": "setup", "title": "Uses authority bias by citing Intel, Microsoft, and IDC to validate the market trend.", "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": "overcrowded", "densityScore": 92, "componentCount": 11, "textChars": 1120, "nDataPoints": 3, "notes": "Uses authority bias by citing Intel, Microsoft, and IDC to validate the market trend.", "elementsJson": [ "headline_text", "quote_block", "icon_grid", "paragraph" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 16:13:34.901+00", "seconds": 3.619, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5fec-763b-95d2-392eb973825d/3", "deck": "/decks/019dd923-5fec-763b-95d2-392eb973825d", "deckAnchor": "/decks/019dd923-5fec-763b-95d2-392eb973825d#slide-3", "deckJson": "/decks/019dd923-5fec-763b-95d2-392eb973825d.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "PCs with specific system-on-a-chip capabilities designed to run generative AI tasks locally – growing from nearly 50 million units in 2024 to more than 167 million in 2027.", "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 14:53:10+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-abe9-733c-81aa-1efacfd18c3e", "parentComponentId": null }, { "bbox": { "h": 0.85, "w": 0.4, "x": 0.55, "y": 0.05 }, "kind": "chart", "text": "Cloud Data Center: GPUs for Training vs Client Computing: NPUs for Inference", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Vertical bar chart", "slug": "bar-vertical", "status": "active", "canonId": "019de52c-fe9d-70f2-b3b7-a9ae294f5917", "version": 1, "description": null }, "framework": null }, "subkind": "bar-vertical", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:13:34.901+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "bcb8fe1f-c89c-434a-8d87-1c7e8a4ab7cc", "parentComponentId": null }, { "bbox": { "h": 0.5, "w": 0.4, "x": 0.55, "y": 0.35 }, "kind": "image", "text": "Security, Performance, Cost, Personalization, Latency, Sustainability", "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": "Icon grid", "slug": "icon-grid", "status": "active", "canonId": "019de52c-fdfe-749d-9990-1db465a3eed4", "version": 1, "description": null }, "framework": null }, "subkind": "icon-grid", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:13:34.901+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "41a3d62b-8cba-4a79-b856-20df03bb7401", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.4, "x": 0.55, "y": 0.25 }, "kind": "metric", "text": "$18B TAM (2027)", "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 16:13:34.901+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "7084d7d4-f375-4445-8b5b-e2b0eb97b278", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "TAM: $18B", "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 14:53:10+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-abe9-733c-81aa-250e1edd263b", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.45, "x": 0.05, "y": 0.65 }, "kind": "paragraph", "text": "PCs with specific system-on-a-chip capabilities designed to run generative AI tasks locally – growing from nearly 50 million units in 2024 to more than 167 million in 2027.", "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 16:13:34.901+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "c4ac0191-d3f0-471e-8b6a-31bf53b7b8a8", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.45, "x": 0.05, "y": 0.45 }, "kind": "quote", "text": "We will use every TOP you will provide us...the dramatic increase in efficiency, performance per watt of these next-generation NPUs, we think will bring a whole new level of capabilities.", "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": "Pull quote", "slug": "pull-quote", "status": "active", "canonId": "019de52c-fbf9-76fe-97e1-a0b7540445c9", "version": 1, "description": null }, "framework": null }, "subkind": "pull-quote", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:13:34.901+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "d5c4e84a-580d-46a5-bd32-7256741f084f", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.45, "x": 0.05, "y": 0.25 }, "kind": "quote", "text": "AI will fundamentally transform, reshape, and restructure the PC experience – unleashing personal productivity and creativity...We're ushering in a new age of AI PC.", "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": "Pull quote", "slug": "pull-quote", "status": "active", "canonId": "019de52c-fbf9-76fe-97e1-a0b7540445c9", "version": 1, "description": null }, "framework": null }, "subkind": "pull-quote", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:13:34.901+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "d8369aee-d900-4d77-b3e7-fd5e5450ed4f", "parentComponentId": null }, { "bbox": null, "kind": "quote", "text": "AI will fundamentally transform, reshape, and restructure the PC experience – unleashing personal productivity and creativity...We're ushering in a new age of AI PC. - Pat Gelsinger, CEO, Intel", "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 14:53:10+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-abe9-733c-81aa-201f1e7551e2", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.35, "x": 0.05, "y": 0.08 }, "kind": "title", "text": "AI is transforming PCs", "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 16:13:34.901+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "ea618492-3c26-479f-8efa-61c947489411", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.35, "x": 0.05, "y": 0.13 }, "kind": "title", "text": "Driven by collective industry commitment", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Subtitle", "slug": "subtitle", "status": "active", "canonId": "019de52c-fb09-739d-900c-815b0d9ac526", "version": 1, "description": null }, "framework": null }, "subkind": "subtitle", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:13:34.901+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "1f93444f-531c-461a-a195-bffcf4faa5e1", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [ { "matchId": "0df91f57-5560-4be3-98cb-7129cf85dd64", "evidence": "Citing Intel, Microsoft, and IDC to build credibility.", "framework": null, "confidence": 0.9, "extraction": { "at": "2026-05-02 16:13:34.901+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 3, "frameworkName": "authority-citation" } ], "arcBeats": [ { "to": 9, "arc": { "name": "The Sequoia Pitch", "slug": "sequoia-pitch", "status": "active", "bestFor": "Investor pitches, Series A/B, board presentations", "canonId": "019dd956-5e69-75a7-a0a4-895ac1bc0444", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Problem -> Solution -> Why Now -> Market Size -> Competition -> Product -> Business Model -> Team -> Financials -> The Ask", "description": null, "familyLabel": null }, "from": 2, "name": "Why Now", "beatId": "52645d6e-6a3a-4596-9272-b7ec79ea18de", "matchId": "ab07690e-db7b-4110-b7b0-6866c715b353", "beatType": { "name": "Why Now", "slug": "sequoia-pitch-why-now", "status": "active", "canonId": "019dd9b8-204f-77ee-82c8-8ebaf0870ff9", "version": 1, "description": null }, "evidence": "The deck starts with a 'why now' section, emphasizing the timeliness of EnCharge AI's solution.", "position": 0, "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": 4, "arc": { "name": "The Sequoia Pitch", "slug": "sequoia-pitch", "status": "active", "bestFor": "Investor pitches, Series A/B, board presentations", "canonId": "019dd956-5e69-75a7-a0a4-895ac1bc0444", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Problem -> Solution -> Why Now -> Market Size -> Competition -> Product -> Business Model -> Team -> Financials -> The Ask", "description": null, "familyLabel": null }, "from": 2, "name": "Problem", "beatId": "56ecff4c-756b-4815-83f0-49d6192caeba", "matchId": "ab07690e-db7b-4110-b7b0-6866c715b353", "beatType": { "name": "Problem", "slug": "sequoia-pitch-problem", "status": "active", "canonId": "019dd9b8-1ed4-767b-8e05-40e733bd2311", "version": 1, "description": null }, "evidence": "The deck presents the industry limitations and the need for EnCharge AI's solution.", "position": 1, "isPrimaryArc": true, "parentBeatType": { "name": "Complication", "slug": "complication", "status": "active", "canonId": "019dd9b8-0275-7709-b2d6-4f77c3fc7579", "version": 1, "description": "The point in the narrative where the audience should feel discomfort. Required for argumentative arcs." }, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [ { "to": 9, "from": 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": "3b1c1d59-d5bd-4d79-9c8e-583f226d8368", "evidence": "The deck dedicates multiple slides to the 'why now' section.", "position": 0, "objective": "Explain why EnCharge AI is timely", "confidence": 0.8, "extraction": { "at": "2026-07-16 21:42:54.882031+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } }, { "to": 4, "from": 2, "loop": { "name": "11_golden_circle", "slug": "11-golden-circle", "status": "active", "bestFor": "Visionary leadership, brand positioning, mission statements", "canonId": "019dd956-6a50-7202-882d-505fcb9922ed", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Why (Belief) -> The How (Process) -> The What (Result)", "description": "Invert the typical pitch by starting with why you exist, rather than what you do", "familyLabel": null }, "matchId": "f2b00b74-9da9-4fe8-9c69-e063c844206c", "evidence": "The deck presents the industry limitations and EnCharge AI's competitive advantage.", "position": 1, "objective": "Explain the industry need and EnCharge AI's solution", "confidence": 0.7, "extraction": { "at": "2026-07-16 21:42:54.921541+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "locked": true }, { "page": 4, "type": "setup", "title": "The chart uses a scatter-plot style to contrast the crowded, low-efficiency datacenter market with the high-efficiency requirement for AI PCs, where EnCharge is", "function": "compare_peers", "rawType": "competitive_analysis", "block": null, "metadata": { "slideType": "competitive_analysis", "slideTypeCanon": { "name": "Competitive analysis", "slug": "competitive_analysis", "status": "active", "canonId": "019de52d-093e-776b-94c6-c1573f5f1a31", "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": 66, "componentCount": 7, "textChars": 388, "nDataPoints": 2, "notes": "The chart uses a scatter-plot style to contrast the crowded, low-efficiency datacenter market with the high-efficiency requirement for AI PCs, where EnCharge is positioned as the outlier.", "elementsJson": [ "headline_text", "action_title", "scatter_plot", "callout_box" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 16:13:34.829+00", "seconds": 3.413, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5fec-763b-95d2-392eb973825d/4", "deck": "/decks/019dd923-5fec-763b-95d2-392eb973825d", "deckAnchor": "/decks/019dd923-5fec-763b-95d2-392eb973825d#slide-4", "deckJson": "/decks/019dd923-5fec-763b-95d2-392eb973825d.json" }, "components": [ { "bbox": { "h": 0.05, "w": 0.25, "x": 0.45, "y": 0.38 }, "kind": "callout", "text": "AI Compute Efficiency Requirement for Laptops", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": null, "subkind": { "name": "Primary callout", "slug": "primary", "status": "active", "canonId": "019de52c-fbd1-70eb-a9ce-8997f8674c1d", "version": 1, "description": null }, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:13:34.829+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "f16cde42-6e43-458f-b3fb-6a2989af7db2", "parentComponentId": null }, { "bbox": null, "kind": "callout", "text": "Only EnCharge AI's efficiency can break the power-performance-price tradeoff", "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 14:53:09+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-abe9-733c-81a9-59c6aaef9799", "parentComponentId": null }, { "bbox": { "h": 0.45, "w": 0.8, "x": 0.1, "y": 0.22 }, "kind": "chart", "text": "Efficiency (TOPS/W) vs Market Segments", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Scatter plot", "slug": "scatter", "status": "active", "canonId": "019de52d-007d-72ec-8689-c79fb78e21a2", "version": 1, "description": null }, "framework": null }, "subkind": "scatter", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:13:34.829+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "f6ecf18a-cf74-4c74-bcf0-c17ab4e880bc", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.8, "x": 0.1, "y": 0.75 }, "kind": "list", "text": "Datacenter AI TAM (2027): $23B vs Client AI TAM (2027): $18B", "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 16:13:34.829+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "b1b6a4a5-bc04-44a9-9c39-b621f4893aff", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Efficiency (TOPS/W)", "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 14:53:09+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-abe9-733c-81a9-5dc2cd14c9ce", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.7, "x": 0.05, "y": 0.13 }, "kind": "paragraph", "text": "Datacenter chip frenzy neglects unique Client computing requirements for delivering industry commitments", "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 16:13:34.829+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "0bba6b6a-9556-4986-832c-ad296ced9e9f", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.6, "x": 0.05, "y": 0.08 }, "kind": "title", "text": "EnCharge stands alone in meeting industry need", "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 16:13:34.829+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "e6797e6b-aff6-4297-a1ee-8487a45e21a2", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [ { "matchId": "b5630ac3-9cf5-4483-a8c1-5c453a2bbf5a", "evidence": "Contrasts Datacenter vs AI PC market segments to highlight competitive advantage.", "framework": null, "confidence": 0.9, "extraction": { "at": "2026-05-02 16:13:34.829+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 4, "frameworkName": "comparison-frame" } ], "arcBeats": [ { "to": 9, "arc": { "name": "The Sequoia Pitch", "slug": "sequoia-pitch", "status": "active", "bestFor": "Investor pitches, Series A/B, board presentations", "canonId": "019dd956-5e69-75a7-a0a4-895ac1bc0444", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Problem -> Solution -> Why Now -> Market Size -> Competition -> Product -> Business Model -> Team -> Financials -> The Ask", "description": null, "familyLabel": null }, "from": 2, "name": "Why Now", "beatId": "52645d6e-6a3a-4596-9272-b7ec79ea18de", "matchId": "ab07690e-db7b-4110-b7b0-6866c715b353", "beatType": { "name": "Why Now", "slug": "sequoia-pitch-why-now", "status": "active", "canonId": "019dd9b8-204f-77ee-82c8-8ebaf0870ff9", "version": 1, "description": null }, "evidence": "The deck starts with a 'why now' section, emphasizing the timeliness of EnCharge AI's solution.", "position": 0, "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": 4, "arc": { "name": "The Sequoia Pitch", "slug": "sequoia-pitch", "status": "active", "bestFor": "Investor pitches, Series A/B, board presentations", "canonId": "019dd956-5e69-75a7-a0a4-895ac1bc0444", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Problem -> Solution -> Why Now -> Market Size -> Competition -> Product -> Business Model -> Team -> Financials -> The Ask", "description": null, "familyLabel": null }, "from": 2, "name": "Problem", "beatId": "56ecff4c-756b-4815-83f0-49d6192caeba", "matchId": "ab07690e-db7b-4110-b7b0-6866c715b353", "beatType": { "name": "Problem", "slug": "sequoia-pitch-problem", "status": "active", "canonId": "019dd9b8-1ed4-767b-8e05-40e733bd2311", "version": 1, "description": null }, "evidence": "The deck presents the industry limitations and the need for EnCharge AI's solution.", "position": 1, "isPrimaryArc": true, "parentBeatType": { "name": "Complication", "slug": "complication", "status": "active", "canonId": "019dd9b8-0275-7709-b2d6-4f77c3fc7579", "version": 1, "description": "The point in the narrative where the audience should feel discomfort. Required for argumentative arcs." }, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [ { "to": 9, "from": 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": "3b1c1d59-d5bd-4d79-9c8e-583f226d8368", "evidence": "The deck dedicates multiple slides to the 'why now' section.", "position": 0, "objective": "Explain why EnCharge AI is timely", "confidence": 0.8, "extraction": { "at": "2026-07-16 21:42:54.882031+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } }, { "to": 4, "from": 2, "loop": { "name": "11_golden_circle", "slug": "11-golden-circle", "status": "active", "bestFor": "Visionary leadership, brand positioning, mission statements", "canonId": "019dd956-6a50-7202-882d-505fcb9922ed", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Why (Belief) -> The How (Process) -> The What (Result)", "description": "Invert the typical pitch by starting with why you exist, rather than what you do", "familyLabel": null }, "matchId": "f2b00b74-9da9-4fe8-9c69-e063c844206c", "evidence": "The deck presents the industry limitations and EnCharge AI's competitive advantage.", "position": 1, "objective": "Explain the industry need and EnCharge AI's solution", "confidence": 0.7, "extraction": { "at": "2026-07-16 21:42:54.921541+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "locked": true }, { "page": 5, "type": "setup", "title": "The slide uses a numbered list to structure the core value proposition.", "function": "present_solution", "rawType": "unfair_advantage", "block": null, "metadata": { "slideType": "unfair_advantage", "slideTypeCanon": { "name": "Unfair advantage", "slug": "unfair_advantage", "status": "active", "canonId": "019de52d-0f56-744f-8bb4-c8a8cca240d6", "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": "dense", "densityScore": 72, "componentCount": 6, "textChars": 737, "nDataPoints": 3, "notes": "The slide uses a numbered list to structure the core value proposition.", "elementsJson": [ "headline_text", "numbered_list", "photo" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 16:13:34.164+00", "seconds": 2.227, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5fec-763b-95d2-392eb973825d/5", "deck": "/decks/019dd923-5fec-763b-95d2-392eb973825d", "deckAnchor": "/decks/019dd923-5fec-763b-95d2-392eb973825d#slide-5", "deckJson": "/decks/019dd923-5fec-763b-95d2-392eb973825d.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "Solved analog’s noise & robustness problem, to unlock 20X higher efficiency than typical digital (150 TOPS/W vs. 5-10 TOPS/W), using standard supply-chain CMOS.", "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 14:53:10+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-abe9-733c-81a9-e0947bda2a15", "parentComponentId": null }, { "bbox": { "h": 0.6, "w": 0.3, "x": 0.65, "y": 0.25 }, "kind": "image", "text": "In-memory computing dataflow chip (16 nm)", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Photo", "slug": "photo", "status": "active", "canonId": "019de52c-fd37-757f-b4a8-ca26d4888875", "version": 1, "description": null }, "framework": null }, "subkind": "photo", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:13:34.164+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "baa03f52-f0d7-4e42-8410-aeb4343d05ec", "parentComponentId": null }, { "bbox": { "h": 0.5, "w": 0.55, "x": 0.05, "y": 0.25 }, "kind": "list", "text": "1. Hardware: Solved analog's noise & robustness problem, to unlock 20X higher efficiency than typical digital (150 TOPS/W vs. 5-10 TOPS/W), using standard supply-chain CMOS. 2. Architecture: Virtualized analog in-memory computing architecture enables programmable and scalable AI, from vision models to LLMs. 3. Software: Seamless software stack, high-performance compiler, operator support for customized AI.", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Numbered list", "slug": "numbered", "status": "active", "canonId": "019de52c-fcc0-7718-a284-a4250c805df2", "version": 1, "description": null }, "framework": null }, "subkind": "numbered", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:13:34.164+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "14ef8f0e-f508-43e1-b7c1-a5540d090a54", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "TOPS/W: 20X", "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 14:53:10+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-abe9-733c-81a9-e47fc2da8db5", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.5, "x": 0.05, "y": 0.14 }, "kind": "subtitle", "text": "Differentiated, patented, demonstrated across five generations of silicon.", "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 16:13:34.164+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "db8ceb7c-02e1-4948-9c44-739325ee9f43", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.6, "x": 0.05, "y": 0.08 }, "kind": "title", "text": "Where does EnCharge's advantage come from?", "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 16:13:34.164+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "cfb4b415-56f7-4878-ba42-c3a20ed2b1ea", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 9, "arc": { "name": "The Sequoia Pitch", "slug": "sequoia-pitch", "status": "active", "bestFor": "Investor pitches, Series A/B, board presentations", "canonId": "019dd956-5e69-75a7-a0a4-895ac1bc0444", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Problem -> Solution -> Why Now -> Market Size -> Competition -> Product -> Business Model -> Team -> Financials -> The Ask", "description": null, "familyLabel": null }, "from": 2, "name": "Why Now", "beatId": "52645d6e-6a3a-4596-9272-b7ec79ea18de", "matchId": "ab07690e-db7b-4110-b7b0-6866c715b353", "beatType": { "name": "Why Now", "slug": "sequoia-pitch-why-now", "status": "active", "canonId": "019dd9b8-204f-77ee-82c8-8ebaf0870ff9", "version": 1, "description": null }, "evidence": "The deck starts with a 'why now' section, emphasizing the timeliness of EnCharge AI's solution.", "position": 0, "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": 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": 5, "name": "Solution", "beatId": "9ac375f4-77b5-467e-96d8-76ab459f8992", "matchId": "ab07690e-db7b-4110-b7b0-6866c715b353", "beatType": { "name": "Solution", "slug": "sequoia-pitch-solution", "status": "active", "canonId": "019dd9b8-1fb1-71d9-a260-07738d7f9c2f", "version": 1, "description": null }, "evidence": "The deck highlights EnCharge AI's competitive advantage and efficiency.", "position": 2, "isPrimaryArc": true, "parentBeatType": { "name": "Turn", "slug": "turn", "status": "active", "canonId": "019dd9b8-0396-702b-ac2f-9901f8dd8b54", "version": 1, "description": "The pivot — solution proposed, catalyst introduced, decision made. Common (15/20 arcs) but not universal: Triple-take, AIDA, PAS, Voyage-return and Pixar substitute it with a strong reflection or development beat." }, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [ { "to": 9, "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": "3b1c1d59-d5bd-4d79-9c8e-583f226d8368", "evidence": "The deck dedicates multiple slides to the 'why now' section.", "position": 0, "objective": "Explain why EnCharge AI is timely", "confidence": 0.8, "extraction": { "at": "2026-07-16 21:42:54.882031+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "locked": true }, { "page": 6, "type": "setup", "title": "The chart uses a logarithmic-style visual comparison to emphasize the magnitude of the performance gap.", "function": "compare_peers", "rawType": "competitive_analysis", "block": null, "metadata": { "slideType": "competitive_analysis", "slideTypeCanon": { "name": "Competitive analysis", "slug": "competitive_analysis", "status": "active", "canonId": "019de52d-093e-776b-94c6-c1573f5f1a31", "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": 63, "componentCount": 6, "textChars": 393, "nDataPoints": 7, "notes": "The chart uses a logarithmic-style visual comparison to emphasize the magnitude of the performance gap.", "elementsJson": [ "headline_text", "bar_chart_vertical", "footnote" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 16:13:35.141+00", "seconds": 2.975, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5fec-763b-95d2-392eb973825d/6", "deck": "/decks/019dd923-5fec-763b-95d2-392eb973825d", "deckAnchor": "/decks/019dd923-5fec-763b-95d2-392eb973825d#slide-6", "deckJson": "/decks/019dd923-5fec-763b-95d2-392eb973825d.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "The highest demonstrated efficiency among incumbents and new entrants", "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 14:53:09+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-abe9-733c-81a9-ad1a7677d29d", "parentComponentId": null }, { "bbox": { "h": 0.65, "w": 0.7, "x": 0.15, "y": 0.2 }, "kind": "chart", "text": "Compute Efficiency (8-bit TOPS/W) comparison of EnCharge AI vs competitors", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Vertical bar chart", "slug": "bar-vertical", "status": "active", "canonId": "019de52c-fe9d-70f2-b3b7-a9ae294f5917", "version": 1, "description": null }, "framework": null }, "subkind": "bar-vertical", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:13:35.141+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "3f49aa77-8aea-448f-b355-64c1d52695f4", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Compute Efficiency (TOPS/W): 375 TOPS/W", "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 14:53:09+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-abe9-733c-81a9-b320ab30936c", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.6, "x": 0.05, "y": 0.95 }, "kind": "source-note", "text": "1. Based on publicly disclosed EnCharge AI silicon results, *Estimated based on recent Blackwell announcement at GTC 2024", "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 16:13:35.141+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "01bc0b18-d339-4452-a653-6ea583d0b084", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.35, "x": 0.05, "y": 0.08 }, "kind": "title", "text": "Competitive advantage", "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 16:13:35.141+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "e98fd7af-4432-468b-96d2-340860499458", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.5, "x": 0.05, "y": 0.14 }, "kind": "title", "text": "The highest demonstrated efficiency among incumbents and new entrants", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Subtitle", "slug": "subtitle", "status": "active", "canonId": "019de52c-fb09-739d-900c-815b0d9ac526", "version": 1, "description": null }, "framework": null }, "subkind": "subtitle", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:13:35.141+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "79c5c393-6dfd-441e-8d91-cf32a558b07f", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 9, "arc": { "name": "The Sequoia Pitch", "slug": "sequoia-pitch", "status": "active", "bestFor": "Investor pitches, Series A/B, board presentations", "canonId": "019dd956-5e69-75a7-a0a4-895ac1bc0444", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Problem -> Solution -> Why Now -> Market Size -> Competition -> Product -> Business Model -> Team -> Financials -> The Ask", "description": null, "familyLabel": null }, "from": 2, "name": "Why Now", "beatId": "52645d6e-6a3a-4596-9272-b7ec79ea18de", "matchId": "ab07690e-db7b-4110-b7b0-6866c715b353", "beatType": { "name": "Why Now", "slug": "sequoia-pitch-why-now", "status": "active", "canonId": "019dd9b8-204f-77ee-82c8-8ebaf0870ff9", "version": 1, "description": null }, "evidence": "The deck starts with a 'why now' section, emphasizing the timeliness of EnCharge AI's solution.", "position": 0, "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": 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": 5, "name": "Solution", "beatId": "9ac375f4-77b5-467e-96d8-76ab459f8992", "matchId": "ab07690e-db7b-4110-b7b0-6866c715b353", "beatType": { "name": "Solution", "slug": "sequoia-pitch-solution", "status": "active", "canonId": "019dd9b8-1fb1-71d9-a260-07738d7f9c2f", "version": 1, "description": null }, "evidence": "The deck highlights EnCharge AI's competitive advantage and efficiency.", "position": 2, "isPrimaryArc": true, "parentBeatType": { "name": "Turn", "slug": "turn", "status": "active", "canonId": "019dd9b8-0396-702b-ac2f-9901f8dd8b54", "version": 1, "description": "The pivot — solution proposed, catalyst introduced, decision made. Common (15/20 arcs) but not universal: Triple-take, AIDA, PAS, Voyage-return and Pixar substitute it with a strong reflection or development beat." }, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [ { "to": 9, "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": "3b1c1d59-d5bd-4d79-9c8e-583f226d8368", "evidence": "The deck dedicates multiple slides to the 'why now' section.", "position": 0, "objective": "Explain why EnCharge AI is timely", "confidence": 0.8, "extraction": { "at": "2026-07-16 21:42:54.882031+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "locked": true }, { "page": 7, "type": "setup", "title": "The slide uses a 3x3 grid layout to showcase 9 team members with headshots, titles, and brief professional highlights.", "function": "other", "rawType": "team_bio", "block": null, "metadata": { "slideType": "team_bio", "slideTypeCanon": { "name": "Team bio", "slug": "team_bio", "status": "active", "canonId": "019de52d-0a7d-7394-ae5b-037478e71f1e", "version": 1, "description": null }, "function": "other", "functionCanon": { "name": "Other (fallback)", "slug": "other", "status": "active", "canonId": "019de52d-15e1-75bc-99dc-07732380e2ce", "version": 1, "description": null }, "density": "balanced", "densityScore": 32, "componentCount": 4, "textChars": 173, "nDataPoints": 4, "notes": "The slide uses a 3x3 grid layout to showcase 9 team members with headshots, titles, and brief professional highlights.", "elementsJson": [ "headline_text", "headshot", "bullet_list" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 16:13:35.273+00", "seconds": 3.043, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5fec-763b-95d2-392eb973825d/7", "deck": "/decks/019dd923-5fec-763b-95d2-392eb973825d", "deckAnchor": "/decks/019dd923-5fec-763b-95d2-392eb973825d#slide-7", "deckJson": "/decks/019dd923-5fec-763b-95d2-392eb973825d.json" }, "components": [ { "bbox": { "h": 0.7, "w": 0.9, "x": 0.05, "y": 0.2 }, "kind": "image", "text": "9 headshots of team members", "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 16:13:35.273+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "98ab7a54-62cd-42f1-aed4-566bc2a439cd", "parentComponentId": null }, { "bbox": { "h": 0.7, "w": 0.9, "x": 0.05, "y": 0.2 }, "kind": "list", "text": "Professional credentials and background for each team member", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:13:35.273+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "e955eefb-44a2-4f3e-8256-84e4053e363b", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.5, "x": 0.05, "y": 0.14 }, "kind": "subtitle", "text": "Key innovators and influencers across hardware, software, and AI", "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 16:13:35.273+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "146d7a74-0346-47d9-a8ea-10b53664da2c", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.4, "x": 0.05, "y": 0.08 }, "kind": "title", "text": "EnCharge AI leadership", "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 16:13:35.273+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "901424c8-a4bd-4f07-a607-9a8e45b7bdc3", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 9, "arc": { "name": "The Sequoia Pitch", "slug": "sequoia-pitch", "status": "active", "bestFor": "Investor pitches, Series A/B, board presentations", "canonId": "019dd956-5e69-75a7-a0a4-895ac1bc0444", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Problem -> Solution -> Why Now -> Market Size -> Competition -> Product -> Business Model -> Team -> Financials -> The Ask", "description": null, "familyLabel": null }, "from": 2, "name": "Why Now", "beatId": "52645d6e-6a3a-4596-9272-b7ec79ea18de", "matchId": "ab07690e-db7b-4110-b7b0-6866c715b353", "beatType": { "name": "Why Now", "slug": "sequoia-pitch-why-now", "status": "active", "canonId": "019dd9b8-204f-77ee-82c8-8ebaf0870ff9", "version": 1, "description": null }, "evidence": "The deck starts with a 'why now' section, emphasizing the timeliness of EnCharge AI's solution.", "position": 0, "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 }, "from": 7, "name": "Team", "beatId": "1a28b5ad-833e-4fd9-8caf-6b0a318a52bf", "matchId": "ab07690e-db7b-4110-b7b0-6866c715b353", "beatType": { "name": "Team", "slug": "sequoia-pitch-team", "status": "active", "canonId": "019dd9b8-23c9-746f-aaf9-2f5d83892cf3", "version": 1, "description": null }, "evidence": "The deck showcases EnCharge AI's leadership and team bios.", "position": 3, "isPrimaryArc": true, "parentBeatType": { "name": "Evidence", "slug": "evidence", "status": "active", "canonId": "019dd9b8-03f9-772a-b84a-4f07b415b77a", "version": 1, "description": "A dedicated proof beat exists in only ~4 arcs (Gambit, Sequoia, AIDA, Monroes). Other arcs embed evidence inline within development." }, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [ { "to": 9, "from": 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": "3b1c1d59-d5bd-4d79-9c8e-583f226d8368", "evidence": "The deck dedicates multiple slides to the 'why now' section.", "position": 0, "objective": "Explain why EnCharge AI is timely", "confidence": 0.8, "extraction": { "at": "2026-07-16 21:42:54.882031+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "locked": true }, { "page": 8, "type": "setup", "title": "The slide uses a grid layout to present five advisory board members with their professional credentials and associated logos.", "function": "other", "rawType": "team_bio", "block": null, "metadata": { "slideType": "team_bio", "slideTypeCanon": { "name": "Team bio", "slug": "team_bio", "status": "active", "canonId": "019de52d-0a7d-7394-ae5b-037478e71f1e", "version": 1, "description": null }, "function": "other", "functionCanon": { "name": "Other (fallback)", "slug": "other", "status": "active", "canonId": "019de52d-15e1-75bc-99dc-07732380e2ce", "version": 1, "description": null }, "density": "overcrowded", "densityScore": 86, "componentCount": 14, "textChars": 957, "nDataPoints": 0, "notes": "The slide uses a grid layout to present five advisory board members with their professional credentials and associated logos.", "elementsJson": [ "headline_text", "subtitle_text", "headshot", "logo_grid", "bullet_list", "footnote" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 16:13:36.277+00", "seconds": 3.939, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5fec-763b-95d2-392eb973825d/8", "deck": "/decks/019dd923-5fec-763b-95d2-392eb973825d", "deckAnchor": "/decks/019dd923-5fec-763b-95d2-392eb973825d#slide-8", "deckJson": "/decks/019dd923-5fec-763b-95d2-392eb973825d.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "Executives behind multi-$B semiconductor startup exits and National Academy of Engineering luminaries", "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 14:53:14+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-abe9-733c-81ab-42e5a7c28385", "parentComponentId": null }, { "bbox": { "h": 0.02, "w": 0.2, "x": 0.03, "y": 0.96 }, "kind": "disclaimer", "text": "*Also serves on EnCharge AI's Board of Directors", "attrs": null, "canon": { "kind": { "name": "Disclaimer", "slug": "disclaimer", "status": "active", "canonId": "91173477-d91f-4024-bbaf-d4f93e3f82dc", "version": 1, "description": "Legal/cautionary text that occupies most of the body of its slide." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:13:36.277+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "c5a7c9a3-0819-4658-89ab-905d4d50b012", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.08, "x": 0.38, "y": 0.25 }, "kind": "image", "text": "Andrea Goldsmith", "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 16:13:36.277+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "0475d394-1669-4b52-a6e5-7c534ed06425", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.08, "x": 0.22, "y": 0.61 }, "kind": "image", "text": "Donald Rosenberg", "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 16:13:36.277+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "52a3016f-ab9b-4e0d-b7ff-15b2ccaa1777", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.08, "x": 0.07, "y": 0.25 }, "kind": "image", "text": "Anantha Chandrakasan", "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 16:13:36.277+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "b18b78db-1ee9-42c6-abbc-0c512808626a", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.08, "x": 0.54, "y": 0.61 }, "kind": "image", "text": "Sam Heidari", "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 16:13:36.277+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "d375579e-fa76-4175-adce-bcc28171877c", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.08, "x": 0.68, "y": 0.25 }, "kind": "image", "text": "Jim Plummer", "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 16:13:36.277+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "e5b15768-8977-40d3-9905-4aa33ac30f1f", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.2, "x": 0.68, "y": 0.41 }, "kind": "list", "text": "Dean of Engineering, Stanford; Board Member, Cadence & Intel; Director, Stanford Nanofab. Facility; National Academy of Engineering", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:13:36.277+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "1dc4a54c-84b5-421c-8c80-aaaa496296f0", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.2, "x": 0.54, "y": 0.78 }, "kind": "list", "text": "CEO, Lumotive & Quantenna; Board Member, Morse Micro; Partner, Cota Capital; CTO, Ikanos", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:13:36.277+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "267fc99a-01e5-480a-9ab9-3b5460915655", "parentComponentId": null }, { "bbox": { "h": 0.18, "w": 0.2, "x": 0.38, "y": 0.41 }, "kind": "list", "text": "Dean of Engineering, Princeton; Board Member, Intel & Medtronic; PCAST Member; Founder, Plume Design & Quantenna; National Academy of Engineering", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:13:36.277+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "3eb3f53f-b2d2-45d9-9956-0bbde998adc2", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.2, "x": 0.07, "y": 0.41 }, "kind": "list", "text": "Dean of Engineering, MIT; Board Member, Analog Devices; Chair, MIT-IBM Watson AI Lab; National Academy of Engineering", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:13:36.277+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "c8c1192c-3f7d-4f96-a04b-696111ed06bb", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.25, "x": 0.22, "y": 0.78 }, "kind": "list", "text": "EVP/General Counsel & Head of Government Affairs, Qualcomm; General Counsel, Apple & IBM; Fellow, UCSD School of Global Policy", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:13:36.277+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "fb24607c-45fa-48ac-a849-fc555a951b12", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.7, "x": 0.05, "y": 0.14 }, "kind": "title", "text": "Executives behind multi-$B semiconductor startup exits and National Academy of Engineering luminaries", "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 16:13:36.277+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "5732dbb8-274e-40b9-9d39-585374cd717d", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.4, "x": 0.05, "y": 0.08 }, "kind": "title", "text": "EnCharge AI Advisory Board", "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 16:13:36.277+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "cd8765cf-d465-4e93-9dbf-12caa314d200", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 9, "arc": { "name": "The Sequoia Pitch", "slug": "sequoia-pitch", "status": "active", "bestFor": "Investor pitches, Series A/B, board presentations", "canonId": "019dd956-5e69-75a7-a0a4-895ac1bc0444", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Problem -> Solution -> Why Now -> Market Size -> Competition -> Product -> Business Model -> Team -> Financials -> The Ask", "description": null, "familyLabel": null }, "from": 2, "name": "Why Now", "beatId": "52645d6e-6a3a-4596-9272-b7ec79ea18de", "matchId": "ab07690e-db7b-4110-b7b0-6866c715b353", "beatType": { "name": "Why Now", "slug": "sequoia-pitch-why-now", "status": "active", "canonId": "019dd9b8-204f-77ee-82c8-8ebaf0870ff9", "version": 1, "description": null }, "evidence": "The deck starts with a 'why now' section, emphasizing the timeliness of EnCharge AI's solution.", "position": 0, "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 }, "from": 7, "name": "Team", "beatId": "1a28b5ad-833e-4fd9-8caf-6b0a318a52bf", "matchId": "ab07690e-db7b-4110-b7b0-6866c715b353", "beatType": { "name": "Team", "slug": "sequoia-pitch-team", "status": "active", "canonId": "019dd9b8-23c9-746f-aaf9-2f5d83892cf3", "version": 1, "description": null }, "evidence": "The deck showcases EnCharge AI's leadership and team bios.", "position": 3, "isPrimaryArc": true, "parentBeatType": { "name": "Evidence", "slug": "evidence", "status": "active", "canonId": "019dd9b8-03f9-772a-b84a-4f07b415b77a", "version": 1, "description": "A dedicated proof beat exists in only ~4 arcs (Gambit, Sequoia, AIDA, Monroes). Other arcs embed evidence inline within development." }, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [ { "to": 9, "from": 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": "3b1c1d59-d5bd-4d79-9c8e-583f226d8368", "evidence": "The deck dedicates multiple slides to the 'why now' section.", "position": 0, "objective": "Explain why EnCharge AI is timely", "confidence": 0.8, "extraction": { "at": "2026-07-16 21:42:54.882031+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "locked": true }, { "page": 9, "type": "setup", "title": "The slide uses a numbered list format to present five distinct pillars of the company's value proposition.", "function": "summarize", "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": "summarize", "functionCanon": { "name": "Summarize", "slug": "summarize", "status": "active", "canonId": "019de52d-1541-704f-b86f-bf7b75056373", "version": 1, "description": null }, "density": "dense", "densityScore": 70, "componentCount": 7, "textChars": 637, "nDataPoints": 0, "notes": "The slide uses a numbered list format to present five distinct pillars of the company's value proposition.", "elementsJson": [ "headline_text", "icon_grid", "numbered_list" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 16:13:35.715+00", "seconds": 3.365, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5fec-763b-95d2-392eb973825d/9", "deck": "/decks/019dd923-5fec-763b-95d2-392eb973825d", "deckAnchor": "/decks/019dd923-5fec-763b-95d2-392eb973825d#slide-9", "deckJson": "/decks/019dd923-5fec-763b-95d2-392eb973825d.json" }, "components": [ { "bbox": { "h": 0.15, "w": 0.9, "x": 0.05, "y": 0.2 }, "kind": "image", "text": null, "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": "Icon grid", "slug": "icon-grid", "status": "active", "canonId": "019de52c-fdfe-749d-9990-1db465a3eed4", "version": 1, "description": null }, "framework": null }, "subkind": "icon-grid", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:13:35.715+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "8d264a58-d0c1-4953-9bc4-7c7308db3e19", "parentComponentId": null }, { "bbox": { "h": 0.6, "w": 0.17, "x": 0.77, "y": 0.2 }, "kind": "list", "text": "5. Expert Team, Proven Execution: Our team's AI systems and semiconductor design expertise and track record ensure successful delivery", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:13:35.715+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "82b26cd3-9ffa-4b33-92c0-3b5ae436947c", "parentComponentId": null }, { "bbox": { "h": 0.6, "w": 0.17, "x": 0.59, "y": 0.2 }, "kind": "list", "text": "4. Broad Industry Demand: Partnerships with Client platform and software leaders fuel our path to near-term, mass-market revenue", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:13:35.715+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "91dce480-3312-4abe-b319-0bce5cbfa2da", "parentComponentId": null }, { "bbox": { "h": 0.6, "w": 0.17, "x": 0.41, "y": 0.2 }, "kind": "list", "text": "3. Proven, IP-Protected Tech: Our validated, scalable technology offers real-world performance advantage", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:13:35.715+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "d9e81d98-5aac-42fc-a22e-b9e9387a5522", "parentComponentId": null }, { "bbox": { "h": 0.6, "w": 0.17, "x": 0.23, "y": 0.2 }, "kind": "list", "text": "2. Large, High-Growth Market: We target the rapidly expanding Client AI space, with hundreds of millions of potential devices", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:13:35.715+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "e3aa6823-63fe-441e-803e-908d042b29be", "parentComponentId": null }, { "bbox": { "h": 0.6, "w": 0.17, "x": 0.05, "y": 0.2 }, "kind": "list", "text": "1. Leading the AI PC Revolution: Our unmatched performance and efficiency uniquely positions us to drive this major transformation", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:13:35.715+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "f580bd21-434d-42ed-ab97-041cce955211", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.25, "x": 0.05, "y": 0.08 }, "kind": "title", "text": "Why EnCharge AI?", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:13:35.715+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "a8ea5ca4-d3c2-4fc7-9cc5-c4380ce7eb20", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [ { "matchId": "86cbf473-2442-4f6d-9962-f4ffd51ea590", "evidence": "The slide uses a numbered list to structure five key arguments.", "framework": null, "confidence": 0.9, "extraction": { "at": "2026-05-02 16:13:35.715+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 9, "frameworkName": "list-presentation" } ], "arcBeats": [ { "to": 9, "arc": { "name": "The Sequoia Pitch", "slug": "sequoia-pitch", "status": "active", "bestFor": "Investor pitches, Series A/B, board presentations", "canonId": "019dd956-5e69-75a7-a0a4-895ac1bc0444", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Problem -> Solution -> Why Now -> Market Size -> Competition -> Product -> Business Model -> Team -> Financials -> The Ask", "description": null, "familyLabel": null }, "from": 2, "name": "Why Now", "beatId": "52645d6e-6a3a-4596-9272-b7ec79ea18de", "matchId": "ab07690e-db7b-4110-b7b0-6866c715b353", "beatType": { "name": "Why Now", "slug": "sequoia-pitch-why-now", "status": "active", "canonId": "019dd9b8-204f-77ee-82c8-8ebaf0870ff9", "version": 1, "description": null }, "evidence": "The deck starts with a 'why now' section, emphasizing the timeliness of EnCharge AI's solution.", "position": 0, "isPrimaryArc": true, "parentBeatType": { "name": "Evidence", "slug": "evidence", "status": "active", "canonId": "019dd9b8-03f9-772a-b84a-4f07b415b77a", "version": 1, "description": "A dedicated proof beat exists in only ~4 arcs (Gambit, Sequoia, AIDA, Monroes). Other arcs embed evidence inline within development." }, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [ { "to": 9, "from": 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": "3b1c1d59-d5bd-4d79-9c8e-583f226d8368", "evidence": "The deck dedicates multiple slides to the 'why now' section.", "position": 0, "objective": "Explain why EnCharge AI is timely", "confidence": 0.8, "extraction": { "at": "2026-07-16 21:42:54.882031+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "locked": true } ], "arcBeats": [ { "from": 2, "to": 9, "label": "Why Now", "description": "The deck starts with a 'why now' section, emphasizing the timeliness of EnCharge AI's solution." }, { "from": 2, "to": 4, "label": "Problem", "description": "The deck presents the industry limitations and the need for EnCharge AI's solution." }, { "from": 5, "to": 6, "label": "Solution", "description": "The deck highlights EnCharge AI's competitive advantage and efficiency." }, { "from": 7, "to": 8, "label": "Team", "description": "The deck showcases EnCharge AI's leadership and team bios." } ], "loops": [ { "from": 2, "to": 9, "label": "Why Now", "description": "Explain why EnCharge AI is timely" }, { "from": 2, "to": 4, "label": "Golden Circle", "description": "Explain the industry need and EnCharge AI's solution" } ] }