{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"awesome-the-generative-ai-landscape","slug":"the-generative-ai-landscape","name":"The Generative AI Landscape","type":"repo","url":"https://github.com/ai-collection/ai-collection","page_url":"https://unfragile.ai/the-generative-ai-landscape","categories":["app-builders"],"tags":[],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"awesome-the-generative-ai-landscape__cap_0","uri":"capability://search.retrieval.multi.category.application.discovery.and.browsing","name":"multi-category application discovery and browsing","description":"Enables users to explore over 3,190 generative AI applications organized across 43 distinct categories through a hierarchical README-based taxonomy system. The discovery mechanism uses standardized markdown formatting with consistent application entry structures (title, description, screenshot, visit link, pricing info) to allow users to quickly scan and compare tools within functional domains. Navigation flows from category selection to individual application details with integrated redirection tracking via utm parameters.","intents":["Find AI tools for a specific use case without knowing exact product names","Compare multiple applications within a category to evaluate alternatives","Discover new or trending AI applications in a particular domain","Browse the full landscape of generative AI tools across all sectors"],"best_for":["Product researchers evaluating AI tool ecosystems","Non-technical founders exploring AI capabilities for their domain","Developers seeking third-party AI integrations or inspiration","Teams conducting competitive analysis of AI application markets"],"limitations":["No dynamic filtering or advanced search within categories — requires manual browsing of markdown lists","Static snapshot of applications; real-time availability and pricing changes not reflected until manual updates","No user ratings, reviews, or community feedback integrated into discovery flow","Category taxonomy is fixed at 43 categories; new domains require repository contribution"],"requires":["GitHub account or web browser to access repository","Basic markdown reading comprehension","Internet connectivity to follow application links"],"input_types":["category selection (implicit via README navigation)","application name or keyword (via browser search within page)"],"output_types":["structured markdown application entries","direct links to application websites","application metadata (title, description, screenshot URL, pricing link)"],"categories":["search-retrieval","discovery-curation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-the-generative-ai-landscape__cap_1","uri":"capability://search.retrieval.featured.application.curation.and.top.picks.promotion","name":"featured application curation and top-picks promotion","description":"Implements a premium placement system for 3-4 hand-selected 'Top Picks' applications displayed prominently at the beginning of each README before the categorized listings. Selection criteria include application quality, innovation, relevance to target audience, and visual appeal. Featured applications receive expanded descriptions, larger screenshots, and prominent call-to-action buttons, creating a curated entry point for users seeking high-confidence recommendations rather than browsing the full 3,190-application catalog.","intents":["Quickly identify the most recommended or innovative AI applications without browsing all 43 categories","Get curated recommendations from domain experts who maintain the collection","Discover breakthrough AI tools that represent the current state-of-the-art","Access applications with proven quality and user satisfaction"],"best_for":["First-time visitors to the AI Collection seeking quick recommendations","Non-technical users who prefer curated selections over comprehensive browsing","Teams looking for vetted, high-quality AI tools to integrate into workflows","Content creators and journalists researching the most notable AI applications"],"limitations":["Only 3-4 applications featured at any time; selection bias toward maintainers' preferences","No transparent selection criteria published; curation process is opaque","Featured status does not guarantee ongoing maintenance or active development of the application","Top Picks section requires manual updates; may become stale if not regularly refreshed"],"requires":["GitHub repository access to view featured applications","Maintainer consensus or decision-making authority to update Top Picks"],"input_types":["application quality assessment (implicit, performed by maintainers)","user feedback and community input (optional, not formalized)"],"output_types":["featured application entries with expanded descriptions","high-resolution screenshots (larger than standard 240px)","prominent visit and more-information links"],"categories":["search-retrieval","curation-editorial"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-the-generative-ai-landscape__cap_10","uri":"capability://image.visual.application.screenshot.curation.and.visual.presentation","name":"application screenshot curation and visual presentation","description":"Curates and hosts standardized screenshots (240px width, webp format) for all 3,190+ applications on a CDN (cdn.thataicollection.com), enabling consistent visual presentation across the collection. Each application entry includes an embedded screenshot aligned to the left of the description text, providing a visual preview of the application's interface. The screenshot curation process ensures that images are of consistent quality, size, and format, and that they accurately represent the current state of the application. This capability enhances the discoverability and appeal of applications by providing visual context beyond text descriptions.","intents":["Quickly assess the visual design and interface of an application before visiting it","Identify applications by visual appearance or UI style","Enhance the visual appeal of the collection and make it more engaging to browse","Provide application developers with a standardized way to showcase their UI"],"best_for":["Users evaluating applications based on UI/UX design","Visual learners who prefer screenshots over text descriptions","Application developers showcasing their interfaces to potential users","Teams building visual search or image-based discovery systems"],"limitations":["240px width may not adequately represent complex applications with rich UIs; important details may be lost","Screenshots become outdated as applications evolve; requires periodic updates to maintain accuracy","Screenshot curation is manual and labor-intensive; may lag behind application updates","CDN hosting adds infrastructure cost and dependency; if cdn.thataicollection.com is down, screenshots are inaccessible","No versioning or historical screenshots; users cannot see how applications have evolved over time","Screenshot selection is subjective; may not represent the most important or distinctive features of the application"],"requires":["Screenshot of each application (240px width, preferably webp format)","CDN infrastructure (cdn.thataicollection.com) to host and serve screenshots","Process for updating screenshots as applications evolve","Quality assurance to ensure screenshots are accurate and representative"],"input_types":["application screenshot images (240px width, webp preferred)","application metadata (title, description) for context"],"output_types":["hosted screenshot URLs on CDN","embedded screenshots in markdown entries with HTML alignment","visual presentation in rendered README"],"categories":["image-visual","content-curation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-the-generative-ai-landscape__cap_11","uri":"capability://data.processing.analysis.application.pricing.and.monetization.information.aggregation","name":"application pricing and monetization information aggregation","description":"Aggregates and links to pricing and monetization information for each application through a 'More Information and Pricing' link that directs users to a detailed application profile on thataicollection.com. Rather than embedding pricing details directly in the collection, this capability centralizes pricing information on a separate platform where it can be more easily updated and maintained. The pricing link provides users with access to detailed information about subscription tiers, free trials, enterprise plans, and other monetization models without cluttering the main collection entries.","intents":["Quickly assess the cost and pricing model of an application before visiting it","Compare pricing across multiple applications in the same category","Find free or open-source alternatives to paid applications","Understand the full feature set and pricing tiers available for an application"],"best_for":["Budget-conscious teams evaluating AI tools based on cost","Procurement teams comparing pricing across multiple vendors","Individual developers seeking free or low-cost AI applications","Teams building cost-optimization strategies for AI tool usage"],"limitations":["Pricing information is not embedded in the collection; requires clicking through to thataicollection.com to view details","Pricing information may become outdated as applications change their monetization models","No filtering or sorting by price within the collection; users must manually compare pricing across applications","Pricing information is centralized on thataicollection.com, which may not be accessible or may be down","No historical pricing data or price change tracking; users cannot see how pricing has evolved over time"],"requires":["thataicollection.com platform to host and maintain pricing information","Process for updating pricing as applications change their monetization models","Access to application pricing information from developers or public sources"],"input_types":["application pricing and monetization information","subscription tiers, free trial details, enterprise plans","pricing updates from application developers"],"output_types":["pricing links in application entries","detailed pricing profiles on thataicollection.com","pricing comparison data across applications"],"categories":["data-processing-analysis","information-aggregation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-the-generative-ai-landscape__cap_2","uri":"capability://search.retrieval.latest.additions.tracking.and.novelty.highlighting","name":"latest-additions tracking and novelty highlighting","description":"Maintains a 'Latest Additions' section that highlights newly added applications to the collection, enabling users to stay informed about emerging AI tools entering the landscape. This capability uses timestamp-based ordering and prominent placement in the README to surface recent contributions, creating a mechanism for discovering cutting-edge applications without manually tracking all 3,190 entries. The system integrates with the contribution workflow, automatically surfacing applications that have been merged into the repository.","intents":["Discover newly launched or recently added AI applications before they gain widespread adoption","Stay current with the rapidly evolving AI tool landscape","Identify emerging trends in generative AI by tracking what applications are being added","Monitor the repository for applications relevant to your domain without reviewing the entire catalog"],"best_for":["AI enthusiasts and early adopters tracking emerging tools","Researchers monitoring AI application development trends","Venture capitalists and investors scouting new AI startups","Product managers staying informed about competitive landscape changes"],"limitations":["Latest Additions section has limited historical depth; older additions are removed from view as new ones are added","No filtering by category within Latest Additions; all new applications mixed regardless of domain","Novelty does not correlate with quality or maturity; newly added applications may be experimental or unstable","Requires manual curation to determine which applications are 'latest'; no automated timestamp extraction from application metadata"],"requires":["Regular monitoring of the repository (manual GitHub watch or RSS feed integration)","Contributor activity to generate new additions"],"input_types":["application submission via pull request","timestamp of merge/addition to repository"],"output_types":["ordered list of recently added applications","application metadata (title, description, screenshot, links)","implicit timestamp ordering (newest first)"],"categories":["search-retrieval","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-the-generative-ai-landscape__cap_3","uri":"capability://text.generation.language.multilingual.catalog.localization.and.language.specific.discovery","name":"multilingual catalog localization and language-specific discovery","description":"Provides complete translations of the AI Collection catalog into multiple languages (Spanish, French, Russian, Chinese Simplified, and English) through separate README files (README.es.md, README.fr.md, README.ru.md, README.zh-CN.md, README.md). Each language version maintains the same 43-category structure, application entries, and Top Picks/Latest Additions sections, enabling non-English speakers to discover and explore AI applications in their native language. The localization system uses file-based organization rather than dynamic translation, ensuring consistency and allowing community contributors to maintain language-specific versions.","intents":["Discover AI applications in your native language without language barriers","Access application descriptions and metadata in your preferred language","Contribute to the collection by translating new applications into your language","Reach global audiences by providing multilingual access to the AI landscape"],"best_for":["Non-English speaking developers and entrepreneurs exploring AI tools","Global teams with multilingual members seeking a shared AI discovery resource","Localization teams building AI products for specific language markets","International organizations evaluating AI applications across regions"],"limitations":["Translation maintenance burden; new applications must be manually translated into all supported languages or will appear only in English","Limited to 5 languages; other languages (German, Japanese, Korean, etc.) not supported","Translation quality depends on community contributors; no professional translation QA process","Translations may lag behind English version if contributors are not actively maintaining all language files","No dynamic language detection or automatic routing; users must manually select language version"],"requires":["Fluency in target language to contribute translations","GitHub access to submit translation pull requests","Coordination with maintainers to ensure consistency across language versions"],"input_types":["application metadata in English (title, description, category)","human translation of application entries into target language"],"output_types":["localized README files in target language","translated application entries with consistent formatting","language-specific category names and navigation"],"categories":["text-generation-language","localization-internationalization"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-the-generative-ai-landscape__cap_4","uri":"capability://data.processing.analysis.standardized.application.entry.formatting.and.metadata.structure","name":"standardized application entry formatting and metadata structure","description":"Enforces a consistent template for all 3,190+ application entries across the catalog, with mandatory fields including screenshot (240px width image from cdn.thataicollection.com), title, headline/description, visit link (with utm tracking), and more-information link. The standardized structure uses markdown formatting with specific HTML alignment attributes (e.g., `<img align=\"left\" width=\"240\">`) to ensure uniform visual presentation across all entries. This capability enables rapid scanning and comparison of applications while maintaining data consistency for potential downstream processing or integration.","intents":["Quickly scan and compare applications using consistent visual and textual formatting","Extract structured metadata from application entries for analysis or integration","Maintain data quality and consistency across 3,190+ community-contributed entries","Enable automated parsing or indexing of application catalog for search or recommendation systems"],"best_for":["Contributors adding new applications to the collection","Developers building tools that consume or index the AI Collection data","Maintainers enforcing quality standards and consistency across the catalog","Researchers analyzing the structure and evolution of the AI application landscape"],"limitations":["Rigid template structure limits flexibility for applications with unique characteristics or complex feature sets","No machine-readable format (e.g., JSON, YAML) for structured data; requires markdown parsing to extract metadata","Screenshot requirement (240px width) may not adequately represent complex applications with rich UIs","Standardized description length may be insufficient for applications with nuanced capabilities or limitations","No versioning or schema evolution mechanism; changes to the template require updates across all 3,190+ entries"],"requires":["Markdown editor or GitHub web interface to create/edit entries","Screenshot of application (240px width, preferably in webp format)","Application URL and thataicollection.com redirect link","Compliance with template structure and field requirements"],"input_types":["application metadata (title, description, URL, category)","screenshot image (240px width, webp preferred)","pricing and more-information links"],"output_types":["formatted markdown entry with consistent structure","rendered HTML with aligned images and links","structured data extractable via markdown parsing"],"categories":["data-processing-analysis","content-structure"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-the-generative-ai-landscape__cap_5","uri":"capability://automation.workflow.utm.parameter.based.application.link.tracking.and.analytics.integration","name":"utm-parameter-based application link tracking and analytics integration","description":"Embeds utm tracking parameters into all application visit links (e.g., `utm_source=aicollection&utm_medium=github&utm_campaign=aicollection`) to enable analytics tracking of traffic driven from the AI Collection repository to external applications. The tracking system uses a redirection layer via thataicollection.com that captures click events before forwarding users to the actual application URL. This capability provides visibility into which applications are most frequently accessed from the collection and enables data-driven decisions about curation and featured placement.","intents":["Track which applications receive the most traffic from the AI Collection","Measure the impact and reach of the collection as a discovery platform","Identify trending applications based on click-through rates","Provide application developers with referral source attribution for their traffic"],"best_for":["Maintainers analyzing collection usage and application popularity","Application developers understanding their traffic sources and user acquisition channels","Teams evaluating the ROI and impact of being featured in the collection","Researchers studying AI application discovery patterns and user behavior"],"limitations":["Requires external analytics infrastructure (thataicollection.com) to capture and store click data; not self-contained in the repository","Users can bypass tracking by directly accessing application URLs if they know them","No privacy-preserving analytics; click tracking may raise privacy concerns for some users","Analytics data is not publicly accessible from the repository; requires access to thataicollection.com backend","Tracking parameters add URL complexity and may be stripped by some browsers or privacy tools"],"requires":["thataicollection.com redirect service to be operational and maintained","Analytics backend to capture and aggregate click events","Application developers to accept utm-tagged referral links"],"input_types":["application URL","utm parameters (source, medium, campaign)"],"output_types":["redirect URL with embedded tracking parameters","click event data (timestamp, source, application, user agent, etc.)","aggregated analytics reports (click counts, trends, referral attribution)"],"categories":["automation-workflow","analytics-tracking"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-the-generative-ai-landscape__cap_6","uri":"capability://automation.workflow.community.contribution.workflow.and.pull.request.based.curation","name":"community contribution workflow and pull-request-based curation","description":"Enables community members to contribute new applications, translations, and improvements to the collection through a GitHub pull request workflow. Contributors submit changes (new application entries, translations, category additions, etc.) which are reviewed by maintainers for quality, accuracy, and compliance with the standardized template. The git-based workflow provides version control, discussion threads, and transparent decision-making, allowing the community to propose, debate, and collectively decide on additions to the catalog. This capability transforms the collection from a static list into a living, community-maintained resource.","intents":["Add newly discovered AI applications to the collection for community visibility","Contribute translations of the catalog into new languages","Propose improvements to application descriptions, categories, or metadata","Participate in curation decisions and shape the direction of the collection","Build reputation and contribute to an open-source project"],"best_for":["Open-source contributors seeking to participate in a community project","Application developers promoting their tools to a discovery audience","Translators localizing content for non-English speaking communities","Maintainers managing community contributions and enforcing quality standards","Teams building on top of the collection (e.g., web frontends, APIs)"],"limitations":["Requires GitHub account and git/GitHub familiarity; barrier to entry for non-technical contributors","Pull request review process can be slow if maintainers are not actively engaged","No formal contribution guidelines or SLA for review times; contributions may languish in open PRs","Potential for spam or low-quality submissions if contribution criteria are not clearly defined","Merge conflicts and coordination overhead as the collection grows and multiple contributors work on the same files"],"requires":["GitHub account with git knowledge","Compliance with contribution guidelines and template requirements","Maintainer review and approval before merge","Ability to respond to feedback and iterate on pull requests"],"input_types":["new application metadata (title, description, URL, category, screenshot)","translation contributions in target language","improvements to existing entries or documentation","bug reports or issues with existing entries"],"output_types":["merged pull requests adding new applications or translations","updated README files with new content","git history documenting all contributions and decisions","contributor attribution in commit messages and git log"],"categories":["automation-workflow","community-collaboration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-the-generative-ai-landscape__cap_7","uri":"capability://automation.workflow.link.validation.and.redirection.system.maintenance","name":"link validation and redirection system maintenance","description":"Implements a link validation workflow to ensure that all 3,190+ application URLs remain active and functional, with a redirection system (via thataicollection.com) that can be updated if applications move or change URLs. The validation process periodically checks that application links are not broken, and the redirection layer provides a single point of control for updating links if applications are acquired, rebranded, or shut down. This capability maintains the integrity and usability of the collection as a discovery platform by preventing users from encountering dead links.","intents":["Ensure all application links in the collection are functional and up-to-date","Quickly update links if applications move or change URLs without editing individual entries","Detect and remove applications that have been shut down or are no longer maintained","Maintain the collection's credibility by preventing broken links and outdated information"],"best_for":["Maintainers ensuring collection quality and preventing link rot","Users trusting that links in the collection will work","Application developers notifying the collection of URL changes","Teams building on top of the collection and relying on link accuracy"],"limitations":["Link validation requires external infrastructure (automated checking service) to be maintained","Redirection system adds latency to application access (users must go through thataicollection.com before reaching the application)","No automated detection of applications that have been acquired or significantly changed; manual review required","Link validation process may be resource-intensive for 3,190+ URLs and may not run frequently enough to catch all broken links","Redirection system is a single point of failure; if thataicollection.com is down, all application links become inaccessible"],"requires":["Automated link validation service (e.g., GitHub Actions, external monitoring service)","thataicollection.com redirection infrastructure to be operational","Regular maintenance and updates to the validation workflow","Process for handling broken links (removal, update, or archival)"],"input_types":["application URLs from collection entries","HTTP requests to validate link accessibility","notifications of URL changes from application developers"],"output_types":["validation reports identifying broken or inaccessible links","updated redirect mappings in thataicollection.com","removal or archival of applications with persistent link issues"],"categories":["automation-workflow","data-quality"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-the-generative-ai-landscape__cap_8","uri":"capability://data.processing.analysis.category.based.application.taxonomy.and.hierarchical.organization","name":"category-based application taxonomy and hierarchical organization","description":"Organizes all 3,190+ applications into 43 distinct, non-overlapping categories (e.g., text generation, image generation, code generation, etc.) based on primary use case or capability. Each category is represented as a separate section in the README with a consistent structure and heading hierarchy. The taxonomy is manually curated and maintained by the community, with new categories added through the pull request workflow. This hierarchical organization enables users to narrow their search to relevant domains and discover applications by functional area rather than browsing the entire catalog.","intents":["Find AI applications for a specific use case or functional domain","Understand the breadth of AI capabilities across different application categories","Compare applications within a category to evaluate alternatives","Identify gaps or underrepresented areas in the AI application landscape"],"best_for":["Users seeking applications for a specific use case (e.g., 'I need an AI for video generation')","Researchers analyzing the distribution of AI applications across domains","Teams evaluating competitive landscapes within specific functional areas","Contributors organizing new applications into appropriate categories"],"limitations":["Fixed set of 43 categories; emerging use cases may not fit existing categories until new ones are added","Applications assigned to single category; multi-functional tools may not be discoverable across all relevant categories","Category names and definitions are not formally documented; ambiguity about which category an application belongs to","No hierarchical nesting of categories; all 43 categories are at the same level, making the taxonomy flat and potentially overwhelming","Category boundaries are subjective and may change as applications evolve or new categories are added"],"requires":["Agreement on category definitions and naming conventions","Community consensus on which category an application belongs to","Maintainer authority to create new categories or reorganize existing ones"],"input_types":["application metadata (title, description, primary use case)","category assignment (manual, by contributor or maintainer)"],"output_types":["categorized application listings in README","category-specific sections with consistent formatting","implicit category taxonomy (43 categories, non-overlapping)"],"categories":["data-processing-analysis","taxonomy-organization"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-the-generative-ai-landscape__cap_9","uri":"capability://data.processing.analysis.application.metadata.extraction.and.structured.data.export","name":"application metadata extraction and structured data export","description":"Enables extraction of structured metadata from the markdown-based application entries (title, description, category, screenshot URL, visit link, more-information link, pricing) for use in downstream systems, analysis, or integration. While the collection itself is markdown-based, the standardized entry format allows developers to parse the README files and extract structured data (JSON, CSV, etc.) for indexing, searching, or building alternative interfaces. This capability transforms the human-readable markdown catalog into machine-readable data that can power search engines, recommendation systems, or API endpoints.","intents":["Extract application metadata for building search engines or recommendation systems","Create alternative interfaces or frontends for browsing the collection","Analyze the AI application landscape using structured data (e.g., pricing trends, category distribution)","Integrate the collection into third-party tools or platforms","Build APIs or data exports for programmatic access to the collection"],"best_for":["Developers building tools that consume or index the AI Collection data","Researchers analyzing the structure and evolution of the AI application landscape","Teams building alternative frontends or search interfaces for the collection","Data engineers integrating the collection into data pipelines or analytics systems"],"limitations":["No official API or structured data export; extraction requires custom markdown parsing","Markdown format is human-readable but not machine-optimized; parsing is fragile and may break if formatting changes","No schema or data dictionary defining the structure of extracted metadata; developers must infer structure from examples","Extraction requires maintaining custom parsers as the collection evolves; changes to the template may break existing parsers","No versioning or change notifications for metadata updates; downstream systems may become out of sync with the source"],"requires":["Markdown parsing library or custom parser for the target language","Understanding of the standardized entry format and field structure","Ability to handle edge cases and variations in formatting across 3,190+ entries"],"input_types":["markdown README files from the repository","standardized application entry format"],"output_types":["structured data (JSON, CSV, YAML, etc.)","extracted metadata (title, description, category, links, pricing)","indexed or searchable data structures"],"categories":["data-processing-analysis","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":24,"verified":false,"data_access_risk":"high","permissions":["GitHub account or web browser to access repository","Basic markdown reading comprehension","Internet connectivity to follow application links","GitHub repository access to view featured applications","Maintainer consensus or decision-making authority to update Top Picks","Screenshot of each application (240px width, preferably webp format)","CDN infrastructure (cdn.thataicollection.com) to host and serve screenshots","Process for updating screenshots as applications evolve","Quality assurance to ensure screenshots are accurate and representative","thataicollection.com platform to host and maintain pricing information"],"failure_modes":["No dynamic filtering or advanced search within categories — requires manual browsing of markdown lists","Static snapshot of applications; real-time availability and pricing changes not reflected until manual updates","No user ratings, reviews, or community feedback integrated into discovery flow","Category taxonomy is fixed at 43 categories; new domains require repository contribution","Only 3-4 applications featured at any time; selection bias toward maintainers' preferences","No transparent selection criteria published; curation process is opaque","Featured status does not guarantee ongoing maintenance or active development of the application","Top Picks section requires manual updates; may become stale if not regularly refreshed","240px width may not adequately represent complex applications with rich UIs; important details may be lost","Screenshots become outdated as applications evolve; requires periodic updates to maintain accuracy","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.34,"ecosystem":0.39999999999999997,"match_graph":0.25,"freshness":0.52,"weights":{"adoption":0.3,"quality":0.2,"ecosystem":0.15,"match_graph":0.3,"freshness":0.05}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-06-17T09:51:04.050Z","last_scraped_at":"2026-05-03T14:00:20.516Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=the-generative-ai-landscape","compare_url":"https://unfragile.ai/compare?artifact=the-generative-ai-landscape"}},"signature":"p9Bk0aE+vAIFHgW5Jypc3z5SS/EJe6LLB0C7tDX9+vZttIwdowR0fzCjDGrLI5/p+dkujZlqSvNhpAybxDb8Cg==","signedAt":"2026-06-20T21:32:23.523Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/the-generative-ai-landscape","artifact":"https://unfragile.ai/the-generative-ai-landscape","verify":"https://unfragile.ai/api/v1/verify?slug=the-generative-ai-landscape","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}