{ "kind": "all", "value": "all", "collectionKey": "slides:all:all:all-document-kinds:all-producers:all-orientations", "filters": { "documentKinds": [], "sourceTypes": [], "orientations": [] }, "total": 319975, "page": 984, "pageSize": 60, "pageCount": 5333, "rows": [ { "docId": "019dd923-5e88-73ef-bd5d-cdf676789001", "docSlug": "1873217bba818632", "documentTitle": "2025 Bond Cap Artificial Intelligence AI 2025", "authorId": "BondCap", "authorName": "BOND", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "vc_research", "sourceTypeLabel": "VC research", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.333, "pageNumber": 218, "slideType": "thesis_headline", "function": "frame_problem", "notes": null, "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-cdf676789001/218", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001#slide-218", "loopMatches": [], "arcBeatMatches": [ { "to": 340, "from": 31, "beatId": "08b5f3f3-e96d-4460-a176-750933765cf7", "arcName": "Monroe's Motivated Sequence", "arcSlug": "monroes-sequence", "beatName": "Action", "beatSlug": "monroes-sequence-action", "evidence": "The deck concludes by encouraging action, providing guidance on navigating the AI landscape.", "position": 4, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-cdf676789001", "docSlug": "1873217bba818632", "documentTitle": "2025 Bond Cap Artificial Intelligence AI 2025", "authorId": "BondCap", "authorName": "BOND", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "vc_research", "sourceTypeLabel": "VC research", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.333, "pageNumber": 219, "slideType": "industry_trends", "function": "analyze_data", "notes": "The slide uses four line charts to visualize the frequency of 'AI' mentions in earnings calls for major tech incumbents.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-cdf676789001/219", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001#slide-219", "loopMatches": [], "arcBeatMatches": [ { "to": 340, "from": 31, "beatId": "08b5f3f3-e96d-4460-a176-750933765cf7", "arcName": "Monroe's Motivated Sequence", "arcSlug": "monroes-sequence", "beatName": "Action", "beatSlug": "monroes-sequence-action", "evidence": "The deck concludes by encouraging action, providing guidance on navigating the AI landscape.", "position": 4, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-cdf676789001", "docSlug": "1873217bba818632", "documentTitle": "2025 Bond Cap Artificial Intelligence AI 2025", "authorId": "BondCap", "authorName": "BOND", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "vc_research", "sourceTypeLabel": "VC research", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.333, "pageNumber": 220, "slideType": "case_study", "function": "illustrate_case", "notes": "The chart shows a trend line based on sparse data points disclosed by leadership.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-cdf676789001/220", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001#slide-220", "loopMatches": [], "arcBeatMatches": [ { "to": 340, "from": 31, "beatId": "08b5f3f3-e96d-4460-a176-750933765cf7", "arcName": "Monroe's Motivated Sequence", "arcSlug": "monroes-sequence", "beatName": "Action", "beatSlug": "monroes-sequence-action", "evidence": "The deck concludes by encouraging action, providing guidance on navigating the AI landscape.", "position": 4, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-cdf676789001", "docSlug": "1873217bba818632", "documentTitle": "2025 Bond Cap Artificial Intelligence AI 2025", "authorId": "BondCap", "authorName": "BOND", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "vc_research", "sourceTypeLabel": "VC research", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.333, "pageNumber": 221, "slideType": "case_study", "function": "illustrate_case", "notes": "The slide uses a combination of qualitative CEO commentary and quantitative survey data to demonstrate product-market fit and expansion.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-cdf676789001/221", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001#slide-221", "loopMatches": [], "arcBeatMatches": [ { "to": 340, "from": 31, "beatId": "08b5f3f3-e96d-4460-a176-750933765cf7", "arcName": "Monroe's Motivated Sequence", "arcSlug": "monroes-sequence", "beatName": "Action", "beatSlug": "monroes-sequence-action", "evidence": "The deck concludes by encouraging action, providing guidance on navigating the AI landscape.", "position": 4, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-cdf676789001", "docSlug": "1873217bba818632", "documentTitle": "2025 Bond Cap Artificial Intelligence AI 2025", "authorId": "BondCap", "authorName": "BOND", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "vc_research", "sourceTypeLabel": "VC research", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.333, "pageNumber": 222, "slideType": "case_study", "function": "illustrate_case", "notes": "The chart shows exponential growth in cumulative digital assets generated using Adobe Firefly from 5/23 to 2/25.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-cdf676789001/222", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001#slide-222", "loopMatches": [], "arcBeatMatches": [ { "to": 340, "from": 31, "beatId": "08b5f3f3-e96d-4460-a176-750933765cf7", "arcName": "Monroe's Motivated Sequence", "arcSlug": "monroes-sequence", "beatName": "Action", "beatSlug": "monroes-sequence-action", "evidence": "The deck concludes by encouraging action, providing guidance on navigating the AI landscape.", "position": 4, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-cdf676789001", "docSlug": "1873217bba818632", "documentTitle": "2025 Bond Cap Artificial Intelligence AI 2025", "authorId": "BondCap", "authorName": "BOND", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "vc_research", "sourceTypeLabel": "VC research", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.333, "pageNumber": 223, "slideType": "case_study", "function": "illustrate_case", "notes": "The slide uses a bar chart to visualize the growth of Atlassian Intelligence users from ~20K in 12/23 to 1,000K in 12/24.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-cdf676789001/223", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001#slide-223", "loopMatches": [], "arcBeatMatches": [ { "to": 340, "from": 31, "beatId": "08b5f3f3-e96d-4460-a176-750933765cf7", "arcName": "Monroe's Motivated Sequence", "arcSlug": "monroes-sequence", "beatName": "Action", "beatSlug": "monroes-sequence-action", "evidence": "The deck concludes by encouraging action, providing guidance on navigating the AI landscape.", "position": 4, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-cdf676789001", "docSlug": "1873217bba818632", "documentTitle": "2025 Bond Cap Artificial Intelligence AI 2025", "authorId": "BondCap", "authorName": "BOND", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "vc_research", "sourceTypeLabel": "VC research", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.333, "pageNumber": 224, "slideType": "case_study", "function": "illustrate_case", "notes": "The chart shows a hockey-stick growth trajectory for Zoom AI Companion accounts.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-cdf676789001/224", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001#slide-224", "loopMatches": [], "arcBeatMatches": [ { "to": 340, "from": 31, "beatId": "08b5f3f3-e96d-4460-a176-750933765cf7", "arcName": "Monroe's Motivated Sequence", "arcSlug": "monroes-sequence", "beatName": "Action", "beatSlug": "monroes-sequence-action", "evidence": "The deck concludes by encouraging action, providing guidance on navigating the AI landscape.", "position": 4, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-cdf676789001", "docSlug": "1873217bba818632", "documentTitle": "2025 Bond Cap Artificial Intelligence AI 2025", "authorId": "BondCap", "authorName": "BOND", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "vc_research", "sourceTypeLabel": "VC research", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.333, "pageNumber": 225, "slideType": "client_example", "function": "illustrate_case", "notes": "The chart shows a jump from 0B to 16B uses over the period.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-cdf676789001/225", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001#slide-225", "loopMatches": [], "arcBeatMatches": [ { "to": 340, "from": 31, "beatId": "08b5f3f3-e96d-4460-a176-750933765cf7", "arcName": "Monroe's Motivated Sequence", "arcSlug": "monroes-sequence", "beatName": "Action", "beatSlug": "monroes-sequence-action", "evidence": "The deck concludes by encouraging action, providing guidance on navigating the AI landscape.", "position": 4, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-cdf676789001", "docSlug": "1873217bba818632", "documentTitle": "2025 Bond Cap Artificial Intelligence AI 2025", "authorId": "BondCap", "authorName": "BOND", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "vc_research", "sourceTypeLabel": "VC research", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.333, "pageNumber": 226, "slideType": "case_study", "function": "illustrate_case", "notes": "The slide uses a bar chart to show growth in paid deals from 1,000 to 3,000 in two months.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-cdf676789001/226", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001#slide-226", "loopMatches": [], "arcBeatMatches": [ { "to": 340, "from": 31, "beatId": "08b5f3f3-e96d-4460-a176-750933765cf7", "arcName": "Monroe's Motivated Sequence", "arcSlug": "monroes-sequence", "beatName": "Action", "beatSlug": "monroes-sequence-action", "evidence": "The deck concludes by encouraging action, providing guidance on navigating the AI landscape.", "position": 4, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-cdf676789001", "docSlug": "1873217bba818632", "documentTitle": "2025 Bond Cap Artificial Intelligence AI 2025", "authorId": "BondCap", "authorName": "BOND", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "vc_research", "sourceTypeLabel": "VC research", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.333, "pageNumber": 227, "slideType": "thesis_headline", "function": "frame_problem", "notes": null, "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-cdf676789001/227", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001#slide-227", "loopMatches": [], "arcBeatMatches": [ { "to": 340, "from": 31, "beatId": "08b5f3f3-e96d-4460-a176-750933765cf7", "arcName": "Monroe's Motivated Sequence", "arcSlug": "monroes-sequence", "beatName": "Action", "beatSlug": "monroes-sequence-action", "evidence": "The deck concludes by encouraging action, providing guidance on navigating the AI landscape.", "position": 4, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-cdf676789001", "docSlug": "1873217bba818632", "documentTitle": "2025 Bond Cap Artificial Intelligence AI 2025", "authorId": "BondCap", "authorName": "BOND", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "vc_research", "sourceTypeLabel": "VC research", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.333, "pageNumber": 228, "slideType": "comparison_table", "function": "compare_options", "notes": "The slide contrasts a legacy suite model with a modern single-application platform model.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-cdf676789001/228", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001#slide-228", "loopMatches": [], "arcBeatMatches": [ { "to": 340, "from": 31, "beatId": "08b5f3f3-e96d-4460-a176-750933765cf7", "arcName": "Monroe's Motivated Sequence", "arcSlug": "monroes-sequence", "beatName": "Action", "beatSlug": "monroes-sequence-action", "evidence": "The deck concludes by encouraging action, providing guidance on navigating the AI landscape.", "position": 4, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-cdf676789001", "docSlug": "1873217bba818632", "documentTitle": "2025 Bond Cap Artificial Intelligence AI 2025", "authorId": "BondCap", "authorName": "BOND", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "vc_research", "sourceTypeLabel": "VC research", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.333, "pageNumber": 229, "slideType": "case_study", "function": "illustrate_case", "notes": "The slide uses a line chart to show the growth of business users, citing various news sources.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-cdf676789001/229", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001#slide-229", "loopMatches": [], "arcBeatMatches": [ { "to": 340, "from": 31, "beatId": "08b5f3f3-e96d-4460-a176-750933765cf7", "arcName": "Monroe's Motivated Sequence", "arcSlug": "monroes-sequence", "beatName": "Action", "beatSlug": "monroes-sequence-action", "evidence": "The deck concludes by encouraging action, providing guidance on navigating the AI landscape.", "position": 4, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-cdf676789001", "docSlug": "1873217bba818632", "documentTitle": "2025 Bond Cap Artificial Intelligence AI 2025", "authorId": "BondCap", "authorName": "BOND", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "vc_research", "sourceTypeLabel": "VC research", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.333, "pageNumber": 230, "slideType": "transition", "function": "transition", "notes": null, "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-cdf676789001/230", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001#slide-230", "loopMatches": [], "arcBeatMatches": [ { "to": 340, "from": 31, "beatId": "08b5f3f3-e96d-4460-a176-750933765cf7", "arcName": "Monroe's Motivated Sequence", "arcSlug": "monroes-sequence", "beatName": "Action", "beatSlug": "monroes-sequence-action", "evidence": "The deck concludes by encouraging action, providing guidance on navigating the AI landscape.", "position": 4, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-cdf676789001", "docSlug": "1873217bba818632", "documentTitle": "2025 Bond Cap Artificial Intelligence AI 2025", "authorId": "BondCap", "authorName": "BOND", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "vc_research", "sourceTypeLabel": "VC research", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.333, "pageNumber": 231, "slideType": "market_landscape", "function": "size_opportunity", "notes": "The chart uses bubble size to represent industry annual sales and axes to show market fragmentation vs. industry size.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-cdf676789001/231", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001#slide-231", "loopMatches": [], "arcBeatMatches": [ { "to": 340, "from": 31, "beatId": "08b5f3f3-e96d-4460-a176-750933765cf7", "arcName": "Monroe's Motivated Sequence", "arcSlug": "monroes-sequence", "beatName": "Action", "beatSlug": "monroes-sequence-action", "evidence": "The deck concludes by encouraging action, providing guidance on navigating the AI landscape.", "position": 4, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-cdf676789001", "docSlug": "1873217bba818632", "documentTitle": "2025 Bond Cap Artificial Intelligence AI 2025", "authorId": "BondCap", "authorName": "BOND", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "vc_research", "sourceTypeLabel": "VC research", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.333, "pageNumber": 232, "slideType": "thesis_headline", "function": "summarize", "notes": null, "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-cdf676789001/232", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001#slide-232", "loopMatches": [], "arcBeatMatches": [ { "to": 340, "from": 31, "beatId": "08b5f3f3-e96d-4460-a176-750933765cf7", "arcName": "Monroe's Motivated Sequence", "arcSlug": "monroes-sequence", "beatName": "Action", "beatSlug": "monroes-sequence-action", "evidence": "The deck concludes by encouraging action, providing guidance on navigating the AI landscape.", "position": 4, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-cdf676789001", "docSlug": "1873217bba818632", "documentTitle": "2025 Bond Cap Artificial Intelligence AI 2025", "authorId": "BondCap", "authorName": "BOND", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "vc_research", "sourceTypeLabel": "VC research", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.333, "pageNumber": 233, "slideType": "thesis_headline", "function": "summarize", "notes": null, "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-cdf676789001/233", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001#slide-233", "loopMatches": [], "arcBeatMatches": [ { "to": 340, "from": 31, "beatId": "08b5f3f3-e96d-4460-a176-750933765cf7", "arcName": "Monroe's Motivated Sequence", "arcSlug": "monroes-sequence", "beatName": "Action", "beatSlug": "monroes-sequence-action", "evidence": "The deck concludes by encouraging action, providing guidance on navigating the AI landscape.", "position": 4, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-cdf676789001", "docSlug": "1873217bba818632", "documentTitle": "2025 Bond Cap Artificial Intelligence AI 2025", "authorId": "BondCap", "authorName": "BOND", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "vc_research", "sourceTypeLabel": "VC research", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.333, "pageNumber": 234, "slideType": "case_study", "function": "illustrate_case", "notes": "The chart uses a dashed line to represent growth trajectory. The slide includes specific source citations for the data and quotes.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-cdf676789001/234", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001#slide-234", "loopMatches": [], "arcBeatMatches": [ { "to": 340, "from": 31, "beatId": "08b5f3f3-e96d-4460-a176-750933765cf7", "arcName": "Monroe's Motivated Sequence", "arcSlug": "monroes-sequence", "beatName": "Action", "beatSlug": "monroes-sequence-action", "evidence": "The deck concludes by encouraging action, providing guidance on navigating the AI landscape.", "position": 4, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-cdf676789001", "docSlug": "1873217bba818632", "documentTitle": "2025 Bond Cap Artificial Intelligence AI 2025", "authorId": "BondCap", "authorName": "BOND", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "vc_research", "sourceTypeLabel": "VC research", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.333, "pageNumber": 235, "slideType": "thesis_headline", "function": "summarize", "notes": null, "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-cdf676789001/235", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001#slide-235", "loopMatches": [], "arcBeatMatches": [ { "to": 340, "from": 31, "beatId": "08b5f3f3-e96d-4460-a176-750933765cf7", "arcName": "Monroe's Motivated Sequence", "arcSlug": "monroes-sequence", "beatName": "Action", "beatSlug": "monroes-sequence-action", "evidence": "The deck concludes by encouraging action, providing guidance on navigating the AI landscape.", "position": 4, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-cdf676789001", "docSlug": "1873217bba818632", "documentTitle": "2025 Bond Cap Artificial Intelligence AI 2025", "authorId": "BondCap", "authorName": "BOND", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "vc_research", "sourceTypeLabel": "VC research", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.333, "pageNumber": 236, "slideType": "case_study", "function": "illustrate_case", "notes": "The slide uses a growth chart to illustrate the impact of AI on product development speed.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-cdf676789001/236", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001#slide-236", "loopMatches": [], "arcBeatMatches": [ { "to": 340, "from": 31, "beatId": "08b5f3f3-e96d-4460-a176-750933765cf7", "arcName": "Monroe's Motivated Sequence", "arcSlug": "monroes-sequence", "beatName": "Action", "beatSlug": "monroes-sequence-action", "evidence": "The deck concludes by encouraging action, providing guidance on navigating the AI landscape.", "position": 4, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-cdf676789001", "docSlug": "1873217bba818632", "documentTitle": "2025 Bond Cap Artificial Intelligence AI 2025", "authorId": "BondCap", "authorName": "BOND", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "vc_research", "sourceTypeLabel": "VC research", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.333, "pageNumber": 237, "slideType": "thesis_headline", "function": "summarize", "notes": null, "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-cdf676789001/237", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001#slide-237", "loopMatches": [], "arcBeatMatches": [ { "to": 340, "from": 31, "beatId": "08b5f3f3-e96d-4460-a176-750933765cf7", "arcName": "Monroe's Motivated Sequence", "arcSlug": "monroes-sequence", "beatName": "Action", "beatSlug": "monroes-sequence-action", "evidence": "The deck concludes by encouraging action, providing guidance on navigating the AI landscape.", "position": 4, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-cdf676789001", "docSlug": "1873217bba818632", "documentTitle": "2025 Bond Cap Artificial Intelligence AI 2025", "authorId": "BondCap", "authorName": "BOND", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "vc_research", "sourceTypeLabel": "VC research", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.333, "pageNumber": 238, "slideType": "case_study", "function": "illustrate_case", "notes": "Includes qualitative testimonials from Kaiser leadership and Abridge CFO.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-cdf676789001/238", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001#slide-238", "loopMatches": [], "arcBeatMatches": [ { "to": 340, "from": 31, "beatId": "08b5f3f3-e96d-4460-a176-750933765cf7", "arcName": "Monroe's Motivated Sequence", "arcSlug": "monroes-sequence", "beatName": "Action", "beatSlug": "monroes-sequence-action", "evidence": "The deck concludes by encouraging action, providing guidance on navigating the AI landscape.", "position": 4, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-cdf676789001", "docSlug": "1873217bba818632", "documentTitle": "2025 Bond Cap Artificial Intelligence AI 2025", "authorId": "BondCap", "authorName": "BOND", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "vc_research", "sourceTypeLabel": "VC research", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.333, "pageNumber": 239, "slideType": "thesis_headline", "function": "summarize", "notes": null, "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-cdf676789001/239", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001#slide-239", "loopMatches": [], "arcBeatMatches": [ { "to": 340, "from": 31, "beatId": "08b5f3f3-e96d-4460-a176-750933765cf7", "arcName": "Monroe's Motivated Sequence", "arcSlug": "monroes-sequence", "beatName": "Action", "beatSlug": "monroes-sequence-action", "evidence": "The deck concludes by encouraging action, providing guidance on navigating the AI landscape.", "position": 4, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-cdf676789001", "docSlug": "1873217bba818632", "documentTitle": "2025 Bond Cap Artificial Intelligence AI 2025", "authorId": "BondCap", "authorName": "BOND", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "vc_research", "sourceTypeLabel": "VC research", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.333, "pageNumber": 240, "slideType": "case_study", "function": "illustrate_case", "notes": "The chart shows a steep growth trajectory for Harvey AI's ARR from late 2023 to early 2025.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-cdf676789001/240", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001#slide-240", "loopMatches": [], "arcBeatMatches": [ { "to": 340, "from": 31, "beatId": "08b5f3f3-e96d-4460-a176-750933765cf7", "arcName": "Monroe's Motivated Sequence", "arcSlug": "monroes-sequence", "beatName": "Action", "beatSlug": "monroes-sequence-action", "evidence": "The deck concludes by encouraging action, providing guidance on navigating the AI landscape.", "position": 4, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-cdf676789001", "docSlug": "1873217bba818632", "documentTitle": "2025 Bond Cap Artificial Intelligence AI 2025", "authorId": "BondCap", "authorName": "BOND", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "vc_research", "sourceTypeLabel": "VC research", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.333, "pageNumber": 241, "slideType": "transition", "function": "transition", "notes": null, "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-cdf676789001/241", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001#slide-241", "loopMatches": [], "arcBeatMatches": [ { "to": 340, "from": 31, "beatId": "08b5f3f3-e96d-4460-a176-750933765cf7", "arcName": "Monroe's Motivated Sequence", "arcSlug": "monroes-sequence", "beatName": "Action", "beatSlug": "monroes-sequence-action", "evidence": "The deck concludes by encouraging action, providing guidance on navigating the AI landscape.", "position": 4, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-cdf676789001", "docSlug": "1873217bba818632", "documentTitle": "2025 Bond Cap Artificial Intelligence AI 2025", "authorId": "BondCap", "authorName": "BOND", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "vc_research", "sourceTypeLabel": "VC research", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.333, "pageNumber": 242, "slideType": "case_study", "function": "illustrate_case", "notes": "Includes a screenshot of the Decagon website and a bar chart showing ARR growth.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-cdf676789001/242", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001#slide-242", "loopMatches": [], "arcBeatMatches": [ { "to": 340, "from": 31, "beatId": "08b5f3f3-e96d-4460-a176-750933765cf7", "arcName": "Monroe's Motivated Sequence", "arcSlug": "monroes-sequence", "beatName": "Action", "beatSlug": "monroes-sequence-action", "evidence": "The deck concludes by encouraging action, providing guidance on navigating the AI landscape.", "position": 4, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-cdf676789001", "docSlug": "1873217bba818632", "documentTitle": "2025 Bond Cap Artificial Intelligence AI 2025", "authorId": "BondCap", "authorName": "BOND", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "vc_research", "sourceTypeLabel": "VC research", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.333, "pageNumber": 243, "slideType": "thesis_headline", "function": "summarize", "notes": null, "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-cdf676789001/243", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001#slide-243", "loopMatches": [], "arcBeatMatches": [ { "to": 340, "from": 31, "beatId": "08b5f3f3-e96d-4460-a176-750933765cf7", "arcName": "Monroe's Motivated Sequence", "arcSlug": "monroes-sequence", "beatName": "Action", "beatSlug": "monroes-sequence-action", "evidence": "The deck concludes by encouraging action, providing guidance on navigating the AI landscape.", "position": 4, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-cdf676789001", "docSlug": "1873217bba818632", "documentTitle": "2025 Bond Cap Artificial Intelligence AI 2025", "authorId": "BondCap", "authorName": "BOND", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "vc_research", "sourceTypeLabel": "VC research", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.333, "pageNumber": 244, "slideType": "case_study", "function": "illustrate_case", "notes": "The slide uses a growth chart to illustrate the company's rapid scaling.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-cdf676789001/244", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001#slide-244", "loopMatches": [], "arcBeatMatches": [ { "to": 340, "from": 31, "beatId": "08b5f3f3-e96d-4460-a176-750933765cf7", "arcName": "Monroe's Motivated Sequence", "arcSlug": "monroes-sequence", "beatName": "Action", "beatSlug": "monroes-sequence-action", "evidence": "The deck concludes by encouraging action, providing guidance on navigating the AI landscape.", "position": 4, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-cdf676789001", "docSlug": "1873217bba818632", "documentTitle": "2025 Bond Cap Artificial Intelligence AI 2025", "authorId": "BondCap", "authorName": "BOND", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "vc_research", "sourceTypeLabel": "VC research", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.333, "pageNumber": 245, "slideType": "transition", "function": "transition", "notes": null, "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-cdf676789001/245", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001#slide-245", "loopMatches": [], "arcBeatMatches": [ { "to": 340, "from": 31, "beatId": "08b5f3f3-e96d-4460-a176-750933765cf7", "arcName": "Monroe's Motivated Sequence", "arcSlug": "monroes-sequence", "beatName": "Action", "beatSlug": "monroes-sequence-action", "evidence": "The deck concludes by encouraging action, providing guidance on navigating the AI landscape.", "position": 4, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-cdf676789001", "docSlug": "1873217bba818632", "documentTitle": "2025 Bond Cap Artificial Intelligence AI 2025", "authorId": "BondCap", "authorName": "BOND", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "vc_research", "sourceTypeLabel": "VC research", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.333, "pageNumber": 246, "slideType": "initiative_list", "function": "present_solution", "notes": "The slide acts as a directory for subsequent pages (246-247).", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-cdf676789001/246", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001#slide-246", "loopMatches": [], "arcBeatMatches": [ { "to": 340, "from": 31, "beatId": "08b5f3f3-e96d-4460-a176-750933765cf7", "arcName": "Monroe's Motivated Sequence", "arcSlug": "monroes-sequence", "beatName": "Action", "beatSlug": "monroes-sequence-action", "evidence": "The deck concludes by encouraging action, providing guidance on navigating the AI landscape.", "position": 4, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-cdf676789001", "docSlug": "1873217bba818632", "documentTitle": "2025 Bond Cap Artificial Intelligence AI 2025", "authorId": "BondCap", "authorName": "BOND", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "vc_research", "sourceTypeLabel": "VC research", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.333, "pageNumber": 247, "slideType": "industry_trends", "function": "quantify_impact", "notes": "The chart uses a timeline axis at the bottom to map specific models (ProGen, ProtBert, ProGen 2, Prot5, ESM2, ESM3) to their release years.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-cdf676789001/247", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001#slide-247", "loopMatches": [], "arcBeatMatches": [ { "to": 340, "from": 31, "beatId": "08b5f3f3-e96d-4460-a176-750933765cf7", "arcName": "Monroe's Motivated Sequence", "arcSlug": "monroes-sequence", "beatName": "Action", "beatSlug": "monroes-sequence-action", "evidence": "The deck concludes by encouraging action, providing guidance on navigating the AI landscape.", "position": 4, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-cdf676789001", "docSlug": "1873217bba818632", "documentTitle": "2025 Bond Cap Artificial Intelligence AI 2025", "authorId": "BondCap", "authorName": "BOND", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "vc_research", "sourceTypeLabel": "VC research", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.333, "pageNumber": 248, "slideType": "comparison_table", "function": "quantify_impact", "notes": "The slide uses a visual metaphor of a sparse grid vs a dense grid to illustrate the scale difference.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-cdf676789001/248", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001#slide-248", "loopMatches": [], "arcBeatMatches": [ { "to": 340, "from": 31, "beatId": "08b5f3f3-e96d-4460-a176-750933765cf7", "arcName": "Monroe's Motivated Sequence", "arcSlug": "monroes-sequence", "beatName": "Action", "beatSlug": "monroes-sequence-action", "evidence": "The deck concludes by encouraging action, providing guidance on navigating the AI landscape.", "position": 4, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-cdf676789001", "docSlug": "1873217bba818632", "documentTitle": "2025 Bond Cap Artificial Intelligence AI 2025", "authorId": "BondCap", "authorName": "BOND", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "vc_research", "sourceTypeLabel": "VC research", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.333, "pageNumber": 249, "slideType": "table_of_contents", "function": "summarize", "notes": "The slide uses a vertical timeline-style list to present the agenda/outline.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-cdf676789001/249", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001#slide-249", "loopMatches": [], "arcBeatMatches": [ { "to": 340, "from": 31, "beatId": "08b5f3f3-e96d-4460-a176-750933765cf7", "arcName": "Monroe's Motivated Sequence", "arcSlug": "monroes-sequence", "beatName": "Action", "beatSlug": "monroes-sequence-action", "evidence": "The deck concludes by encouraging action, providing guidance on navigating the AI landscape.", "position": 4, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-cdf676789001", "docSlug": "1873217bba818632", "documentTitle": "2025 Bond Cap Artificial Intelligence AI 2025", "authorId": "BondCap", "authorName": "BOND", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "vc_research", "sourceTypeLabel": "VC research", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.333, "pageNumber": 250, "slideType": "thesis_headline", "function": "frame_problem", "notes": "The slide uses a simple additive equation format to frame the core problem.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-cdf676789001/250", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001#slide-250", "loopMatches": [], "arcBeatMatches": [ { "to": 340, "from": 31, "beatId": "08b5f3f3-e96d-4460-a176-750933765cf7", "arcName": "Monroe's Motivated Sequence", "arcSlug": "monroes-sequence", "beatName": "Action", "beatSlug": "monroes-sequence-action", "evidence": "The deck concludes by encouraging action, providing guidance on navigating the AI landscape.", "position": 4, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-cdf676789001", "docSlug": "1873217bba818632", "documentTitle": "2025 Bond Cap Artificial Intelligence AI 2025", "authorId": "BondCap", "authorName": "BOND", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "vc_research", "sourceTypeLabel": "VC research", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.333, "pageNumber": 251, "slideType": "transition", "function": "transition", "notes": null, "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-cdf676789001/251", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001#slide-251", "loopMatches": [], "arcBeatMatches": [ { "to": 340, "from": 31, "beatId": "08b5f3f3-e96d-4460-a176-750933765cf7", "arcName": "Monroe's Motivated Sequence", "arcSlug": "monroes-sequence", "beatName": "Action", "beatSlug": "monroes-sequence-action", "evidence": "The deck concludes by encouraging action, providing guidance on navigating the AI landscape.", "position": 4, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-cdf676789001", "docSlug": "1873217bba818632", "documentTitle": "2025 Bond Cap Artificial Intelligence AI 2025", "authorId": "BondCap", "authorName": "BOND", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "vc_research", "sourceTypeLabel": "VC research", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.333, "pageNumber": 252, "slideType": "industry_trends", "function": "summarize", "notes": "The slide provides a historical and functional summary of multimodal AI development.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-cdf676789001/252", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001#slide-252", "loopMatches": [], "arcBeatMatches": [ { "to": 340, "from": 31, "beatId": "08b5f3f3-e96d-4460-a176-750933765cf7", "arcName": "Monroe's Motivated Sequence", "arcSlug": "monroes-sequence", "beatName": "Action", "beatSlug": "monroes-sequence-action", "evidence": "The deck concludes by encouraging action, providing guidance on navigating the AI landscape.", "position": 4, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-cdf676789001", "docSlug": "1873217bba818632", "documentTitle": "2025 Bond Cap Artificial Intelligence AI 2025", "authorId": "BondCap", "authorName": "BOND", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "vc_research", "sourceTypeLabel": "VC research", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.333, "pageNumber": 253, "slideType": "industry_trends", "function": "quantify_impact", "notes": "The chart shows a significant spike in model releases in 2024 compared to 2022.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-cdf676789001/253", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001#slide-253", "loopMatches": [], "arcBeatMatches": [ { "to": 340, "from": 31, "beatId": "08b5f3f3-e96d-4460-a176-750933765cf7", "arcName": "Monroe's Motivated Sequence", "arcSlug": "monroes-sequence", "beatName": "Action", "beatSlug": "monroes-sequence-action", "evidence": "The deck concludes by encouraging action, providing guidance on navigating the AI landscape.", "position": 4, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-cdf676789001", "docSlug": "1873217bba818632", "documentTitle": "2025 Bond Cap Artificial Intelligence AI 2025", "authorId": "BondCap", "authorName": "BOND", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "vc_research", "sourceTypeLabel": "VC research", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.333, "pageNumber": 254, "slideType": "market_landscape", "function": "quantify_impact", "notes": "The chart shows a significant spike in model releases starting in 2022, with a 420% increase noted between 2022 and 2024.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-cdf676789001/254", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001#slide-254", "loopMatches": [], "arcBeatMatches": [ { "to": 340, "from": 31, "beatId": "08b5f3f3-e96d-4460-a176-750933765cf7", "arcName": "Monroe's Motivated Sequence", "arcSlug": "monroes-sequence", "beatName": "Action", "beatSlug": "monroes-sequence-action", "evidence": "The deck concludes by encouraging action, providing guidance on navigating the AI landscape.", "position": 4, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-cdf676789001", "docSlug": "1873217bba818632", "documentTitle": "2025 Bond Cap Artificial Intelligence AI 2025", "authorId": "BondCap", "authorName": "BOND", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "vc_research", "sourceTypeLabel": "VC research", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.333, "pageNumber": 255, "slideType": "industry_trends", "function": "quantify_impact", "notes": "The chart shows a significant spike in 2024 releases compared to previous years, with 2025 data being partial (as of 5/25).", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-cdf676789001/255", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001#slide-255", "loopMatches": [], "arcBeatMatches": [ { "to": 340, "from": 31, "beatId": "08b5f3f3-e96d-4460-a176-750933765cf7", "arcName": "Monroe's Motivated Sequence", "arcSlug": "monroes-sequence", "beatName": "Action", "beatSlug": "monroes-sequence-action", "evidence": "The deck concludes by encouraging action, providing guidance on navigating the AI landscape.", "position": 4, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-cdf676789001", "docSlug": "1873217bba818632", "documentTitle": "2025 Bond Cap Artificial Intelligence AI 2025", "authorId": "BondCap", "authorName": "BOND", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "vc_research", "sourceTypeLabel": "VC research", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.333, "pageNumber": 256, "slideType": "industry_trends", "function": "quantify_impact", "notes": "The chart shows a significant spike in 2023. The slide includes a disclaimer about potential double-counting of multimodal models.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-cdf676789001/256", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001#slide-256", "loopMatches": [], "arcBeatMatches": [ { "to": 340, "from": 31, "beatId": "08b5f3f3-e96d-4460-a176-750933765cf7", "arcName": "Monroe's Motivated Sequence", "arcSlug": "monroes-sequence", "beatName": "Action", "beatSlug": "monroes-sequence-action", "evidence": "The deck concludes by encouraging action, providing guidance on navigating the AI landscape.", "position": 4, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-cdf676789001", "docSlug": "1873217bba818632", "documentTitle": "2025 Bond Cap Artificial Intelligence AI 2025", "authorId": "BondCap", "authorName": "BOND", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "vc_research", "sourceTypeLabel": "VC research", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.333, "pageNumber": 257, "slideType": "industry_trends", "function": "quantify_impact", "notes": "The slide uses a combination of qualitative examples and a quantitative bar chart to demonstrate market momentum.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-cdf676789001/257", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001#slide-257", "loopMatches": [], "arcBeatMatches": [ { "to": 340, "from": 31, "beatId": "08b5f3f3-e96d-4460-a176-750933765cf7", "arcName": "Monroe's Motivated Sequence", "arcSlug": "monroes-sequence", "beatName": "Action", "beatSlug": "monroes-sequence-action", "evidence": "The deck concludes by encouraging action, providing guidance on navigating the AI landscape.", "position": 4, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-cdf676789001", "docSlug": "1873217bba818632", "documentTitle": "2025 Bond Cap Artificial Intelligence AI 2025", "authorId": "BondCap", "authorName": "BOND", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "vc_research", "sourceTypeLabel": "VC research", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.333, "pageNumber": 258, "slideType": "competitive_analysis", "function": "analyze_data", "notes": "Data source: Similarweb. Includes desktop & mobile (non-app) website visits.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-cdf676789001/258", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001#slide-258", "loopMatches": [], "arcBeatMatches": [ { "to": 340, "from": 31, "beatId": "08b5f3f3-e96d-4460-a176-750933765cf7", "arcName": "Monroe's Motivated Sequence", "arcSlug": "monroes-sequence", "beatName": "Action", "beatSlug": "monroes-sequence-action", "evidence": "The deck concludes by encouraging action, providing guidance on navigating the AI landscape.", "position": 4, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-cdf676789001", "docSlug": "1873217bba818632", "documentTitle": "2025 Bond Cap Artificial Intelligence AI 2025", "authorId": "BondCap", "authorName": "BOND", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "vc_research", "sourceTypeLabel": "VC research", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.333, "pageNumber": 259, "slideType": "industry_trends", "function": "analyze_data", "notes": "The chart highlights the rapid growth of DeepSeek and xAI Grok in early 2025.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-cdf676789001/259", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001#slide-259", "loopMatches": [], "arcBeatMatches": [ { "to": 340, "from": 31, "beatId": "08b5f3f3-e96d-4460-a176-750933765cf7", "arcName": "Monroe's Motivated Sequence", "arcSlug": "monroes-sequence", "beatName": "Action", "beatSlug": "monroes-sequence-action", "evidence": "The deck concludes by encouraging action, providing guidance on navigating the AI landscape.", "position": 4, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-cdf676789001", "docSlug": "1873217bba818632", "documentTitle": "2025 Bond Cap Artificial Intelligence AI 2025", "authorId": "BondCap", "authorName": "BOND", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "vc_research", "sourceTypeLabel": "VC research", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.333, "pageNumber": 260, "slideType": "industry_trends", "function": "summarize", "notes": "The slide highlights the intense pace of innovation across major AI players, not just Google.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-cdf676789001/260", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001#slide-260", "loopMatches": [], "arcBeatMatches": [ { "to": 340, "from": 31, "beatId": "08b5f3f3-e96d-4460-a176-750933765cf7", "arcName": "Monroe's Motivated Sequence", "arcSlug": "monroes-sequence", "beatName": "Action", "beatSlug": "monroes-sequence-action", "evidence": "The deck concludes by encouraging action, providing guidance on navigating the AI landscape.", "position": 4, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-cdf676789001", "docSlug": "1873217bba818632", "documentTitle": "2025 Bond Cap Artificial Intelligence AI 2025", "authorId": "BondCap", "authorName": "BOND", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "vc_research", "sourceTypeLabel": "VC research", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.333, "pageNumber": 261, "slideType": "key_messages", "function": "frame_problem", "notes": "Uses a simple additive equation format to frame the problem.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-cdf676789001/261", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001#slide-261", "loopMatches": [], "arcBeatMatches": [ { "to": 340, "from": 31, "beatId": "08b5f3f3-e96d-4460-a176-750933765cf7", "arcName": "Monroe's Motivated Sequence", "arcSlug": "monroes-sequence", "beatName": "Action", "beatSlug": "monroes-sequence-action", "evidence": "The deck concludes by encouraging action, providing guidance on navigating the AI landscape.", "position": 4, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-cdf676789001", "docSlug": "1873217bba818632", "documentTitle": "2025 Bond Cap Artificial Intelligence AI 2025", "authorId": "BondCap", "authorName": "BOND", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "vc_research", "sourceTypeLabel": "VC research", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.333, "pageNumber": 262, "slideType": "industry_trends", "function": "establish_context", "notes": "The slide provides a historical and strategic context for AI model development, contrasting the centralized, proprietary nature of closed models with the collaborative, accessible nature of open-source models.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-cdf676789001/262", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001#slide-262", "loopMatches": [], "arcBeatMatches": [ { "to": 340, "from": 31, "beatId": "08b5f3f3-e96d-4460-a176-750933765cf7", "arcName": "Monroe's Motivated Sequence", "arcSlug": "monroes-sequence", "beatName": "Action", "beatSlug": "monroes-sequence-action", "evidence": "The deck concludes by encouraging action, providing guidance on navigating the AI landscape.", "position": 4, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-cdf676789001", "docSlug": "1873217bba818632", "documentTitle": "2025 Bond Cap Artificial Intelligence AI 2025", "authorId": "BondCap", "authorName": "BOND", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "vc_research", "sourceTypeLabel": "VC research", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.333, "pageNumber": 263, "slideType": "data_table", "function": "analyze_data", "notes": "The chart compares market share of major LLM providers based on YipitData.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-cdf676789001/263", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001#slide-263", "loopMatches": [], "arcBeatMatches": [ { "to": 340, "from": 31, "beatId": "08b5f3f3-e96d-4460-a176-750933765cf7", "arcName": "Monroe's Motivated Sequence", "arcSlug": "monroes-sequence", "beatName": "Action", "beatSlug": "monroes-sequence-action", "evidence": "The deck concludes by encouraging action, providing guidance on navigating the AI landscape.", "position": 4, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-cdf676789001", "docSlug": "1873217bba818632", "documentTitle": "2025 Bond Cap Artificial Intelligence AI 2025", "authorId": "BondCap", "authorName": "BOND", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "vc_research", "sourceTypeLabel": "VC research", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.333, "pageNumber": 264, "slideType": "industry_trends", "function": "analyze_data", "notes": "The chart uses a log scale for the y-axis (FLOP).", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-cdf676789001/264", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001#slide-264", "loopMatches": [], "arcBeatMatches": [ { "to": 340, "from": 31, "beatId": "08b5f3f3-e96d-4460-a176-750933765cf7", "arcName": "Monroe's Motivated Sequence", "arcSlug": "monroes-sequence", "beatName": "Action", "beatSlug": "monroes-sequence-action", "evidence": "The deck concludes by encouraging action, providing guidance on navigating the AI landscape.", "position": 4, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-cdf676789001", "docSlug": "1873217bba818632", "documentTitle": "2025 Bond Cap Artificial Intelligence AI 2025", "authorId": "BondCap", "authorName": "BOND", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "vc_research", "sourceTypeLabel": "VC research", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.333, "pageNumber": 265, "slideType": "industry_trends", "function": "compare_peers", "notes": "The chart uses a step-like visualization to show model releases over time. The callout highlights the competitive performance of DeepSeek R1.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-cdf676789001/265", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001#slide-265", "loopMatches": [], "arcBeatMatches": [ { "to": 340, "from": 31, "beatId": "08b5f3f3-e96d-4460-a176-750933765cf7", "arcName": "Monroe's Motivated Sequence", "arcSlug": "monroes-sequence", "beatName": "Action", "beatSlug": "monroes-sequence-action", "evidence": "The deck concludes by encouraging action, providing guidance on navigating the AI landscape.", "position": 4, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-cdf676789001", "docSlug": "1873217bba818632", "documentTitle": "2025 Bond Cap Artificial Intelligence AI 2025", "authorId": "BondCap", "authorName": "BOND", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "vc_research", "sourceTypeLabel": "VC research", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.333, "pageNumber": 266, "slideType": "competitive_analysis", "function": "compare_peers", "notes": "The chart highlights the performance gap between open-source and closed-source models, noting the rise of Chinese models like DeepSeek and Alibaba.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-cdf676789001/266", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001#slide-266", "loopMatches": [], "arcBeatMatches": [ { "to": 340, "from": 31, "beatId": "08b5f3f3-e96d-4460-a176-750933765cf7", "arcName": "Monroe's Motivated Sequence", "arcSlug": "monroes-sequence", "beatName": "Action", "beatSlug": "monroes-sequence-action", "evidence": "The deck concludes by encouraging action, providing guidance on navigating the AI landscape.", "position": 4, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-cdf676789001", "docSlug": "1873217bba818632", "documentTitle": "2025 Bond Cap Artificial Intelligence AI 2025", "authorId": "BondCap", "authorName": "BOND", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "vc_research", "sourceTypeLabel": "VC research", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.333, "pageNumber": 267, "slideType": "thesis_headline", "function": "summarize", "notes": null, "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-cdf676789001/267", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001#slide-267", "loopMatches": [], "arcBeatMatches": [ { "to": 340, "from": 31, "beatId": "08b5f3f3-e96d-4460-a176-750933765cf7", "arcName": "Monroe's Motivated Sequence", "arcSlug": "monroes-sequence", "beatName": "Action", "beatSlug": "monroes-sequence-action", "evidence": "The deck concludes by encouraging action, providing guidance on navigating the AI landscape.", "position": 4, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-cdf676789001", "docSlug": "1873217bba818632", "documentTitle": "2025 Bond Cap Artificial Intelligence AI 2025", "authorId": "BondCap", "authorName": "BOND", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "vc_research", "sourceTypeLabel": "VC research", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.333, "pageNumber": 268, "slideType": "key_messages", "function": "summarize", "notes": "This slide is entirely text-based, functioning as a narrative summary or 'key message' slide.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-cdf676789001/268", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001#slide-268", "loopMatches": [], "arcBeatMatches": [ { "to": 340, "from": 31, "beatId": "08b5f3f3-e96d-4460-a176-750933765cf7", "arcName": "Monroe's Motivated Sequence", "arcSlug": "monroes-sequence", "beatName": "Action", "beatSlug": "monroes-sequence-action", "evidence": "The deck concludes by encouraging action, providing guidance on navigating the AI landscape.", "position": 4, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-cdf676789001", "docSlug": "1873217bba818632", "documentTitle": "2025 Bond Cap Artificial Intelligence AI 2025", "authorId": "BondCap", "authorName": "BOND", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "vc_research", "sourceTypeLabel": "VC research", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.333, "pageNumber": 269, "slideType": "industry_trends", "function": "quantify_impact", "notes": "The chart shows a clear exponential growth trend in developer adoption of Llama models.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-cdf676789001/269", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001#slide-269", "loopMatches": [], "arcBeatMatches": [ { "to": 340, "from": 31, "beatId": "08b5f3f3-e96d-4460-a176-750933765cf7", "arcName": "Monroe's Motivated Sequence", "arcSlug": "monroes-sequence", "beatName": "Action", "beatSlug": "monroes-sequence-action", "evidence": "The deck concludes by encouraging action, providing guidance on navigating the AI landscape.", "position": 4, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-cdf676789001", "docSlug": "1873217bba818632", "documentTitle": "2025 Bond Cap Artificial Intelligence AI 2025", "authorId": "BondCap", "authorName": "BOND", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "vc_research", "sourceTypeLabel": "VC research", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.333, "pageNumber": 270, "slideType": "industry_trends", "function": "quantify_impact", "notes": "The chart highlights a 33x increase in total models, reaching 1.16 million, with a specific callout for Meta Llama derivative models.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-cdf676789001/270", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001#slide-270", "loopMatches": [], "arcBeatMatches": [ { "to": 340, "from": 31, "beatId": "08b5f3f3-e96d-4460-a176-750933765cf7", "arcName": "Monroe's Motivated Sequence", "arcSlug": "monroes-sequence", "beatName": "Action", "beatSlug": "monroes-sequence-action", "evidence": "The deck concludes by encouraging action, providing guidance on navigating the AI landscape.", "position": 4, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-cdf676789001", "docSlug": "1873217bba818632", "documentTitle": "2025 Bond Cap Artificial Intelligence AI 2025", "authorId": "BondCap", "authorName": "BOND", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "vc_research", "sourceTypeLabel": "VC research", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.333, "pageNumber": 271, "slideType": "thesis_headline", "function": "frame_problem", "notes": null, "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-cdf676789001/271", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001#slide-271", "loopMatches": [], "arcBeatMatches": [ { "to": 340, "from": 31, "beatId": "08b5f3f3-e96d-4460-a176-750933765cf7", "arcName": "Monroe's Motivated Sequence", "arcSlug": "monroes-sequence", "beatName": "Action", "beatSlug": "monroes-sequence-action", "evidence": "The deck concludes by encouraging action, providing guidance on navigating the AI landscape.", "position": 4, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-cdf676789001", "docSlug": "1873217bba818632", "documentTitle": "2025 Bond Cap Artificial Intelligence AI 2025", "authorId": "BondCap", "authorName": "BOND", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "vc_research", "sourceTypeLabel": "VC research", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.333, "pageNumber": 272, "slideType": "key_messages", "function": "establish_context", "notes": "The slide uses a narrative approach to frame the geopolitical competition in AI, referencing quotes from industry leaders like Andrew Bosworth and Sam Altman.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-cdf676789001/272", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001#slide-272", "loopMatches": [], "arcBeatMatches": [ { "to": 340, "from": 31, "beatId": "08b5f3f3-e96d-4460-a176-750933765cf7", "arcName": "Monroe's Motivated Sequence", "arcSlug": "monroes-sequence", "beatName": "Action", "beatSlug": "monroes-sequence-action", "evidence": "The deck concludes by encouraging action, providing guidance on navigating the AI landscape.", "position": 4, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-cdf676789001", "docSlug": "1873217bba818632", "documentTitle": "2025 Bond Cap Artificial Intelligence AI 2025", "authorId": "BondCap", "authorName": "BOND", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "vc_research", "sourceTypeLabel": "VC research", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.333, "pageNumber": 273, "slideType": "situation_overview", "function": "establish_context", "notes": "This slide is a text-heavy narrative page providing geopolitical context for the broader deck.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-cdf676789001/273", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001#slide-273", "loopMatches": [], "arcBeatMatches": [ { "to": 340, "from": 31, "beatId": "08b5f3f3-e96d-4460-a176-750933765cf7", "arcName": "Monroe's Motivated Sequence", "arcSlug": "monroes-sequence", "beatName": "Action", "beatSlug": "monroes-sequence-action", "evidence": "The deck concludes by encouraging action, providing guidance on navigating the AI landscape.", "position": 4, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-cdf676789001", "docSlug": "1873217bba818632", "documentTitle": "2025 Bond Cap Artificial Intelligence AI 2025", "authorId": "BondCap", "authorName": "BOND", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "vc_research", "sourceTypeLabel": "VC research", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.333, "pageNumber": 274, "slideType": "thesis_headline", "function": "summarize", "notes": null, "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-cdf676789001/274", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001#slide-274", "loopMatches": [], "arcBeatMatches": [ { "to": 340, "from": 31, "beatId": "08b5f3f3-e96d-4460-a176-750933765cf7", "arcName": "Monroe's Motivated Sequence", "arcSlug": "monroes-sequence", "beatName": "Action", "beatSlug": "monroes-sequence-action", "evidence": "The deck concludes by encouraging action, providing guidance on navigating the AI landscape.", "position": 4, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-cdf676789001", "docSlug": "1873217bba818632", "documentTitle": "2025 Bond Cap Artificial Intelligence AI 2025", "authorId": "BondCap", "authorName": "BOND", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "vc_research", "sourceTypeLabel": "VC research", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.333, "pageNumber": 275, "slideType": "data_table", "function": "analyze_data", "notes": "The table uses color coding for non-USA countries (Saudi Arabia, Taiwan, China, Germany).", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-cdf676789001/275", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001#slide-275", "loopMatches": [], "arcBeatMatches": [ { "to": 340, "from": 31, "beatId": "08b5f3f3-e96d-4460-a176-750933765cf7", "arcName": "Monroe's Motivated Sequence", "arcSlug": "monroes-sequence", "beatName": "Action", "beatSlug": "monroes-sequence-action", "evidence": "The deck concludes by encouraging action, providing guidance on navigating the AI landscape.", "position": 4, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-cdf676789001", "docSlug": "1873217bba818632", "documentTitle": "2025 Bond Cap Artificial Intelligence AI 2025", "authorId": "BondCap", "authorName": "BOND", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "vc_research", "sourceTypeLabel": "VC research", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.333, "pageNumber": 276, "slideType": "data_table", "function": "analyze_data", "notes": "The slide provides a historical snapshot of global market dominance in 1995, emphasizing the high concentration of US-based companies.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-cdf676789001/276", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001#slide-276", "loopMatches": [], "arcBeatMatches": [ { "to": 340, "from": 31, "beatId": "08b5f3f3-e96d-4460-a176-750933765cf7", "arcName": "Monroe's Motivated Sequence", "arcSlug": "monroes-sequence", "beatName": "Action", "beatSlug": "monroes-sequence-action", "evidence": "The deck concludes by encouraging action, providing guidance on navigating the AI landscape.", "position": 4, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-cdf676789001", "docSlug": "1873217bba818632", "documentTitle": "2025 Bond Cap Artificial Intelligence AI 2025", "authorId": "BondCap", "authorName": "BOND", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "vc_research", "sourceTypeLabel": "VC research", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.333, "pageNumber": 277, "slideType": "key_takeaways", "function": "summarize", "notes": null, "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-cdf676789001/277", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001#slide-277", "loopMatches": [], "arcBeatMatches": [ { "to": 340, "from": 31, "beatId": "08b5f3f3-e96d-4460-a176-750933765cf7", "arcName": "Monroe's Motivated Sequence", "arcSlug": "monroes-sequence", "beatName": "Action", "beatSlug": "monroes-sequence-action", "evidence": "The deck concludes by encouraging action, providing guidance on navigating the AI landscape.", "position": 4, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true } ] }