{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"awesome-the-generative-ai-index","slug":"the-generative-ai-index","name":"The Generative AI Index","type":"repo","url":"https://airtable.com/shrH4REIgddv8SzUo/tbl5dsXdD1P859QLO","page_url":"https://unfragile.ai/the-generative-ai-index","categories":["productivity"],"tags":[],"pricing":{"model":"unknown","free":false,"starting_price":null},"status":"inactive","verified":false},"capabilities":[{"id":"awesome-the-generative-ai-index__cap_0","uri":"capability://search.retrieval.curated.generative.ai.product.discovery","name":"curated-generative-ai-product-discovery","description":"Provides a structured, manually-curated database of generative AI tools, models, and platforms organized in Airtable with filterable metadata fields. The index uses a relational database structure with linked records, tags, and custom properties to enable discovery across multiple dimensions (capability type, pricing model, maturity stage, use case). Users can filter, sort, and search across hundreds of AI products without relying on algorithmic ranking or SEO-driven results.","intents":["Find specific generative AI tools that match my technical requirements and budget constraints","Discover emerging AI products in a particular category before they gain mainstream attention","Compare feature sets and pricing across competing generative AI solutions","Research the landscape of AI vendors to inform build-vs-buy decisions","Track which AI products are gaining adoption in my industry vertical"],"best_for":["VCs and investors evaluating AI startup ecosystems and market saturation","Enterprise architects conducting AI vendor due diligence","Product managers researching competitive AI tool landscapes","Developers exploring new AI capabilities for integration into existing products","AI researchers tracking the commercialization of academic techniques"],"limitations":["Curation is manual and subject to curator bias — may miss emerging tools or over-represent portfolio companies","Update frequency unknown — product information may become stale as AI tools launch and pivot rapidly","No programmatic API access — requires manual Airtable access or export to integrate into automated workflows","Limited to products the curators are aware of — discovery is bounded by curator network and attention","No real-time pricing or feature updates — snapshots are point-in-time and require manual refresh"],"requires":["Airtable account (free tier sufficient for read-only access)","Web browser with JavaScript enabled","No API key or authentication beyond Airtable's public sharing"],"input_types":["filter criteria (text search, categorical filters, range filters)","sort parameters (by date added, pricing, category, maturity)"],"output_types":["structured product records (JSON-serializable via Airtable API)","filtered views (HTML table, CSV export)","linked metadata (tags, categories, related products)"],"categories":["search-retrieval","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-the-generative-ai-index__cap_1","uri":"capability://search.retrieval.multi.dimensional.ai.product.filtering","name":"multi-dimensional-ai-product-filtering","description":"Enables filtering and faceted search across structured metadata fields including product category, pricing model, deployment type (cloud/on-prem/open-source), maturity stage, and use case tags. The Airtable schema uses linked record types and enumerated fields to support complex queries without requiring SQL knowledge, allowing non-technical users to narrow down product options across multiple constraints simultaneously.","intents":["Filter AI tools by pricing model to find options within my budget","Find open-source generative AI models that can be self-hosted","Identify AI products suitable for a specific industry or use case","Compare products at different maturity stages (research vs production-ready)","Narrow down options by deployment requirements (cloud-only vs on-premises capable)"],"best_for":["Non-technical stakeholders evaluating AI tools without SQL or API knowledge","Teams with diverse evaluation criteria needing to apply multiple filters simultaneously","Organizations with compliance requirements filtering by deployment type or data residency","Researchers mapping the AI product landscape across multiple dimensions"],"limitations":["Airtable's free tier limits to 1,200 records — index may need to migrate to paid tier as AI product ecosystem grows","No full-text search across product descriptions — filtering is limited to structured fields only","Filter combinations are not saved or shareable as URLs — each user must manually reapply filters","No boolean logic operators — cannot easily express complex queries like '(open-source OR free) AND (image generation OR video)'"],"requires":["Airtable account with view access to the shared base","Web browser supporting Airtable's filtering UI","Familiarity with faceted search paradigms"],"input_types":["categorical filters (dropdown selections)","text search (substring matching on indexed fields)","range filters (pricing tiers, launch dates)"],"output_types":["filtered record set (subset of products matching all criteria)","count aggregations (number of products per category)","linked records (related products in filtered results)"],"categories":["search-retrieval","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-the-generative-ai-index__cap_2","uri":"capability://automation.workflow.collaborative.ai.product.curation","name":"collaborative-ai-product-curation","description":"Provides a shared Airtable workspace where Scale Venture Partners and potentially community contributors can collaboratively add, update, and maintain product records with version history and change tracking. Airtable's built-in collaboration features (comments, edit history, field-level permissions) enable distributed curation without requiring custom content management infrastructure, allowing the index to stay current as the AI landscape evolves.","intents":["Add newly-launched AI products to the index without requiring backend development","Update product information (pricing, features, status) as companies pivot or release new versions","Discuss and validate product categorization with team members via inline comments","Track who made changes and when to maintain editorial accountability","Enable community contributions to the index while maintaining quality control"],"best_for":["VC firms maintaining proprietary AI landscape databases for internal use","Open-source communities crowdsourcing product curation","Editorial teams without dedicated backend infrastructure","Organizations needing audit trails for product metadata changes"],"limitations":["Airtable's permission model is coarse-grained — cannot easily restrict edits to specific fields or records","No workflow automation for approval processes — requires manual review of all submissions","Collaboration is limited to Airtable's UI — no programmatic API for bulk imports or automated updates","Version history is limited to Airtable's retention policy — long-term audit trails may be lost","No spam or vandalism protection — open collaboration requires trust or moderation overhead"],"requires":["Airtable account with editor or owner permissions","Airtable workspace shared with collaborators","Agreement on product taxonomy and metadata schema"],"input_types":["product records (name, description, URL, metadata)","comments and discussions (inline feedback on records)","bulk imports (CSV or API uploads for batch additions)"],"output_types":["updated product records with timestamps","change history (who edited what and when)","comment threads (discussion context for decisions)"],"categories":["automation-workflow","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-the-generative-ai-index__cap_3","uri":"capability://data.processing.analysis.ai.product.metadata.standardization","name":"ai-product-metadata-standardization","description":"Defines and enforces a consistent schema for AI product metadata across the index using Airtable's field types (text, number, select, linked records, dates). The schema includes standardized fields for product name, description, pricing model, deployment type, capability categories, maturity stage, and founder/company information, enabling structured comparison and programmatic access to product information across the entire ecosystem.","intents":["Compare products using consistent metadata fields across the entire index","Export product data in structured format for analysis or integration into other tools","Identify gaps in the AI product landscape by analyzing metadata distributions","Build automated workflows that consume product metadata from the index","Ensure new products are described using consistent terminology and categories"],"best_for":["Data analysts building reports on AI market trends and product distributions","Developers integrating the index into automated discovery or recommendation systems","Researchers analyzing the AI product ecosystem using structured data","Teams enforcing consistent product descriptions across large product databases"],"limitations":["Schema is static and requires manual updates to add new fields — cannot dynamically adapt to new product types","Enumerated fields (select lists) must be pre-defined — cannot capture novel product attributes without schema changes","No validation rules — users can enter inconsistent values (e.g., 'free' vs 'Free' vs 'no cost')","Linked records require manual relationship creation — no automatic deduplication or relationship inference","Schema changes are disruptive — adding required fields breaks existing records and requires backfill"],"requires":["Airtable account with view access to the base","Understanding of the product metadata schema","API key for programmatic access (if integrating with external systems)"],"input_types":["product records with standardized fields","enumerated values (select options from predefined lists)","linked records (relationships between products, companies, categories)"],"output_types":["structured JSON or CSV exports","API responses with consistent field names and types","reports and dashboards aggregating metadata across products"],"categories":["data-processing-analysis","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-the-generative-ai-index__cap_4","uri":"capability://data.processing.analysis.ai.product.landscape.visualization","name":"ai-product-landscape-visualization","description":"Enables creation of multiple views and visualizations of the AI product index using Airtable's native view types (grid, gallery, kanban, calendar, form) and third-party visualization integrations. Users can create custom views grouping products by category, pricing tier, or maturity stage, and can embed charts or dashboards to visualize market trends (e.g., distribution of products by pricing model, launch date trends, capability coverage).","intents":["Visualize the distribution of AI products across pricing models or capability categories","Create kanban boards organizing products by maturity stage or evaluation status","Build dashboards showing trends in AI product launches over time","Generate reports on market coverage (which use cases have the most products)","Create gallery views showcasing AI products with logos and descriptions"],"best_for":["VCs presenting AI market landscape to investors or LPs","Product managers creating competitive analysis dashboards","Researchers visualizing AI ecosystem trends and gaps","Marketing teams creating product comparison content"],"limitations":["Airtable's native visualizations are limited to basic charts and views — no advanced analytics or custom visualizations","Third-party integrations (Zapier, Make) add latency and cost — real-time dashboards may not be feasible","Visualizations are static snapshots — require manual refresh to reflect new products or updates","No drill-down or interactive filtering across multiple visualizations — each view is independent","Embedding visualizations in external websites requires Airtable's paid API or third-party tools"],"requires":["Airtable account with view creation permissions","Understanding of Airtable's view types and configuration","Optional: third-party visualization tools (Metabase, Tableau, Looker) for advanced analytics"],"input_types":["product records with metadata","view configuration (grouping, filtering, sorting)","aggregation parameters (count, sum, average)"],"output_types":["grid views (table format)","gallery views (card-based layout)","kanban views (column-based workflow)","charts and dashboards (embedded visualizations)","exported reports (PDF, CSV)"],"categories":["data-processing-analysis","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":17,"verified":false,"data_access_risk":"high","permissions":["Airtable account (free tier sufficient for read-only access)","Web browser with JavaScript enabled","No API key or authentication beyond Airtable's public sharing","Airtable account with view access to the shared base","Web browser supporting Airtable's filtering UI","Familiarity with faceted search paradigms","Airtable account with editor or owner permissions","Airtable workspace shared with collaborators","Agreement on product taxonomy and metadata schema","Airtable account with view access to the base"],"failure_modes":["Curation is manual and subject to curator bias — may miss emerging tools or over-represent portfolio companies","Update frequency unknown — product information may become stale as AI tools launch and pivot rapidly","No programmatic API access — requires manual Airtable access or export to integrate into automated workflows","Limited to products the curators are aware of — discovery is bounded by curator network and attention","No real-time pricing or feature updates — snapshots are point-in-time and require manual refresh","Airtable's free tier limits to 1,200 records — index may need to migrate to paid tier as AI product ecosystem grows","No full-text search across product descriptions — filtering is limited to structured fields only","Filter combinations are not saved or shareable as URLs — each user must manually reapply filters","No boolean logic operators — cannot easily express complex queries like '(open-source OR free) AND (image generation OR video)'","Airtable's permission model is coarse-grained — cannot easily restrict edits to specific fields or records","builder identity is not verified yet","no observed match outcomes 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