{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_outfits-ai","slug":"outfits-ai","name":"Outfits AI","type":"product","url":"https://www.outfitsai.com","page_url":"https://unfragile.ai/outfits-ai","categories":["app-builders"],"tags":[],"pricing":{"model":"freemium","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_outfits-ai__cap_0","uri":"capability://image.visual.wardrobe.item.visual.recognition.and.cataloging","name":"wardrobe-item visual recognition and cataloging","description":"Uses computer vision (likely CNN-based object detection) to identify individual clothing items from user-uploaded photos, extracting attributes like color, garment type, pattern, and material. The system builds a searchable digital wardrobe index by processing multiple photos of the same item under different lighting conditions, storing embeddings for visual similarity matching and later outfit generation. Recognition accuracy depends on photo quality, lighting, and background clarity.","intents":["I want to upload photos of my clothes and have the system automatically identify what each item is","I need to create a searchable digital inventory of my wardrobe without manually tagging each piece","I want the system to understand the visual properties of my clothes so it can make smart recommendations"],"best_for":["users with large wardrobes (50+ items) who want to digitize their closet","fashion-conscious individuals willing to invest time in high-quality wardrobe photography","people with organized closets and consistent lighting for photo capture"],"limitations":["accuracy degrades significantly with poor lighting, shadows, or cluttered backgrounds — requires well-lit, isolated item photography","struggles with complex patterns, layered clothing, or items with similar colors to the background","requires multiple photos per item for robust recognition; single-angle photos may produce inconsistent embeddings","no manual override or correction UI mentioned — misidentified items may persist in the index"],"requires":["smartphone or camera capable of 2MP+ image capture","adequate natural or artificial lighting for wardrobe photography","internet connection for image upload and processing","account creation (freemium model)"],"input_types":["JPEG/PNG images (wardrobe photos)","image metadata (optional: color temperature, lighting conditions)"],"output_types":["structured item records (garment type, color, pattern, material)","visual embeddings for similarity matching","searchable wardrobe index"],"categories":["image-visual","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_outfits-ai__cap_1","uri":"capability://planning.reasoning.personalized.outfit.generation.from.existing.wardrobe","name":"personalized outfit generation from existing wardrobe","description":"Generates outfit combinations by querying the visual wardrobe index and applying style rules (color harmony, occasion-based matching, seasonal appropriateness) via a recommendation engine. The system likely uses a combination of visual similarity matching (embeddings) and rule-based logic to propose multi-item outfits that coordinate aesthetically. Generation considers user preferences, past outfit selections, and contextual factors (weather, occasion) if provided.","intents":["I want the AI to suggest outfit combinations from my existing clothes so I don't have to think about it each morning","I need outfit ideas that match my personal style and the occasion I'm dressing for","I want to discover new combinations of clothes I already own but haven't considered together"],"best_for":["busy professionals with 50+ item wardrobes who experience decision fatigue","users with well-organized, photographed wardrobes and consistent personal style","people seeking to maximize existing wardrobe usage before shopping for new items"],"limitations":["limited to combinations within the existing wardrobe — cannot recommend new purchases or trending items","style suggestions depend on the quality and diversity of the indexed wardrobe; sparse wardrobes produce repetitive suggestions","no apparent integration with weather APIs or calendar data — occasion context must be manually specified","color matching and style rules are likely generic; may not account for personal fit preferences or body type","no feedback loop mentioned for learning user preferences over time"],"requires":["minimum 15-20 cataloged wardrobe items for meaningful variety","wardrobe photos with consistent lighting and clear item visibility","optional: occasion or weather context (manual input)"],"input_types":["wardrobe item embeddings (from visual recognition)","user preference signals (optional: past outfit selections, style preferences)","contextual input (optional: occasion, weather, mood)"],"output_types":["outfit combinations (multi-item sets with visual previews)","styling rationale (why items coordinate)","alternative outfit suggestions"],"categories":["planning-reasoning","image-visual"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_outfits-ai__cap_2","uri":"capability://search.retrieval.visual.wardrobe.search.and.filtering","name":"visual wardrobe search and filtering","description":"Enables users to search and filter their cataloged wardrobe by visual attributes (color, garment type, pattern, material) and metadata (occasion, season, brand). Likely uses vector similarity search on item embeddings combined with metadata filtering to return matching items. Search may support natural language queries ('blue dresses for summer') or structured filters, allowing users to quickly locate specific pieces or browse by category.","intents":["I want to find all blue items in my wardrobe quickly without scrolling through photos","I need to search for 'dresses suitable for work' across my entire closet","I want to see all items I own in a specific color or style category"],"best_for":["users with large wardrobes (100+ items) who need fast item discovery","people who want to understand their wardrobe composition (e.g., 'how many black pants do I have?')","users planning outfits and needing to quickly locate specific item types"],"limitations":["search accuracy depends on the quality of initial item recognition — misidentified items won't be findable by correct attributes","natural language search may be ambiguous (e.g., 'casual' means different things to different users)","no apparent support for custom tags or user-defined categories — limited to system-detected attributes","search results may be slow for very large wardrobes without proper indexing optimization"],"requires":["populated wardrobe index with at least 10-15 items","items must be properly recognized and embedded"],"input_types":["search query (natural language or structured filters)","filter criteria (color, garment type, occasion, season, brand)"],"output_types":["filtered item list with visual thumbnails","item metadata and attributes","count/summary of matching items"],"categories":["search-retrieval","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_outfits-ai__cap_3","uri":"capability://image.visual.outfit.visualization.and.preview","name":"outfit visualization and preview","description":"Displays generated outfit combinations as visual mockups by compositing the user's actual wardrobe item photos into a cohesive outfit preview. The system likely uses image layering or 3D rendering to show how items look together, allowing users to see the complete outfit before wearing it. May include styling details like suggested accessories or layering options based on the generated combination.","intents":["I want to see what an outfit looks like before I get dressed","I need a visual preview to confirm that suggested items actually coordinate well together","I want to see multiple outfit options side-by-side to choose the best one for my day"],"best_for":["visual learners who need to see outfits rather than read descriptions","users with high-quality wardrobe photos who want accurate outfit previews","people making quick morning decisions and needing instant visual feedback"],"limitations":["preview quality depends entirely on the quality of individual item photos — poor lighting or angles in source photos produce poor composites","flat 2D compositing may not accurately represent how items look on a body or in 3D space","no apparent try-on or virtual fitting room capability — users can't see how the outfit fits their body type","accessories and layering suggestions may be generic or missing"],"requires":["high-quality wardrobe item photos with consistent backgrounds and lighting","generated outfit combinations from the recommendation engine"],"input_types":["wardrobe item photos (JPEG/PNG)","outfit combination data (item selections and styling rules)"],"output_types":["composite outfit preview image","outfit styling suggestions (accessories, layering, styling tips)"],"categories":["image-visual"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_outfits-ai__cap_4","uri":"capability://planning.reasoning.style.preference.learning.and.personalization","name":"style preference learning and personalization","description":"Tracks user interactions with generated outfits (likes, dislikes, selections, skips) to build a preference model that improves future outfit recommendations. The system likely uses collaborative filtering or embeddings-based preference learning to understand the user's aesthetic and style patterns, adjusting recommendation weights based on past behavior. May also infer preferences from outfit selections and adjust color, pattern, or garment type recommendations accordingly.","intents":["I want the AI to learn my style preferences so recommendations get better over time","I want to tell the system which outfits I like so it stops suggesting styles I don't wear","I want personalized recommendations that match my actual aesthetic, not generic style rules"],"best_for":["regular users who interact with the app daily and want improving recommendations","users with distinct personal style who benefit from preference learning","people willing to provide feedback to train the recommendation engine"],"limitations":["cold-start problem: new users with no interaction history receive generic recommendations","preference learning may reinforce existing style choices rather than suggesting new directions","no apparent way to explicitly set style preferences or provide detailed feedback beyond like/dislike","unclear if preference model is user-specific or influenced by aggregate user data","no transparency into what style attributes the system has learned about the user"],"requires":["user interaction history (outfit selections, likes, dislikes)","minimum 5-10 interactions for meaningful preference signal","account persistence and login"],"input_types":["user feedback signals (like, dislike, outfit selection, skip)","outfit interaction metadata (time spent viewing, share actions)","optional: explicit style preference input"],"output_types":["personalized recommendation weights","adjusted outfit suggestions","style profile summary (optional)"],"categories":["planning-reasoning","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_outfits-ai__cap_5","uri":"capability://planning.reasoning.occasion.based.outfit.recommendation","name":"occasion-based outfit recommendation","description":"Generates outfit suggestions tailored to specific occasions (work, casual, formal, gym, date night) by applying occasion-specific style rules and filtering the wardrobe for appropriate items. The system likely maintains a mapping of garment types and styles to occasions, then recommends combinations that match the formality level, dress code, and context of the specified occasion. May integrate with calendar or user input to suggest outfits for upcoming events.","intents":["I have a work meeting today and need a professional outfit suggestion","I'm going on a date and want outfit ideas that are stylish but not overdressed","I need gym clothes suggestions from my wardrobe for my workout today"],"best_for":["users with diverse wardrobes spanning multiple occasions and dress codes","professionals who need to quickly assemble appropriate outfits for different contexts","people who want occasion-specific guidance without manually filtering their wardrobe"],"limitations":["occasion definitions are likely generic and may not match user's specific workplace culture or social context","no apparent integration with calendar or event data — users must manually specify occasion","limited to predefined occasion categories; custom occasions or niche dress codes not supported","no consideration of weather, season, or time-of-day context in occasion matching","may suggest inappropriate items if wardrobe is sparse in a particular occasion category"],"requires":["wardrobe with items across multiple occasion categories","user input specifying the occasion or event type"],"input_types":["occasion type (work, casual, formal, gym, date, etc.)","optional: additional context (weather, time of day, dress code)"],"output_types":["occasion-appropriate outfit suggestions","styling notes (formality level, dress code compliance)","alternative outfit options"],"categories":["planning-reasoning","image-visual"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_outfits-ai__cap_6","uri":"capability://automation.workflow.freemium.access.model.with.feature.gating","name":"freemium access model with feature gating","description":"Implements a freemium business model allowing users to access core wardrobe cataloging and basic outfit generation without payment, with premium features (advanced personalization, unlimited outfit suggestions, priority recommendations) behind a paywall. The system gates features at the API or UI level, likely tracking user tier and enforcing usage limits (e.g., X outfit suggestions per day for free users). Freemium model reduces friction for user acquisition and allows testing before commitment.","intents":["I want to try the app without paying to see if it works for my wardrobe","I need unlimited outfit suggestions and advanced features for a subscription fee","I want to use the basic wardrobe cataloging for free and upgrade only if I find it valuable"],"best_for":["users evaluating the app before committing financially","budget-conscious users who want free wardrobe management without premium features","power users willing to pay for advanced personalization and unlimited suggestions"],"limitations":["free tier likely has usage limits (outfit suggestions per day, wardrobe size limits, or feature restrictions)","premium features not specified in available information — unclear what justifies upgrade","no information on pricing, subscription duration, or cancellation policies","free tier may have ads or promotional content","data retention and account deletion policies unclear for free users"],"requires":["account creation (email or social login)","optional: payment method for premium tier"],"input_types":["user tier/subscription status","usage metrics (outfit suggestions generated, wardrobe items cataloged)"],"output_types":["feature access control","usage limit enforcement","upgrade prompts and pricing information"],"categories":["automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":39,"verified":false,"data_access_risk":"high","permissions":["smartphone or camera capable of 2MP+ image capture","adequate natural or artificial lighting for wardrobe photography","internet connection for image upload and processing","account creation (freemium model)","minimum 15-20 cataloged wardrobe items for meaningful variety","wardrobe photos with consistent lighting and clear item visibility","optional: occasion or weather context (manual input)","populated wardrobe index with at least 10-15 items","items must be properly recognized and embedded","high-quality wardrobe item photos with consistent backgrounds and lighting"],"failure_modes":["accuracy degrades significantly with poor lighting, shadows, or cluttered backgrounds — requires well-lit, isolated item photography","struggles with complex patterns, layered clothing, or items with similar colors to the background","requires multiple photos per item for robust recognition; single-angle photos may produce inconsistent embeddings","no manual override or correction UI mentioned — misidentified items may persist in the index","limited to combinations within the existing wardrobe — cannot recommend new purchases or trending items","style suggestions depend on the quality and diversity of the indexed wardrobe; sparse wardrobes produce repetitive suggestions","no apparent integration with weather APIs or calendar data — occasion context must be manually specified","color matching and style rules are likely generic; may not account for personal fit preferences or body type","no feedback loop mentioned for learning user preferences over time","search accuracy depends on the quality of initial item recognition — misidentified items won't be findable by correct attributes","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.31666666666666665,"quality":0.67,"ecosystem":0.15000000000000002,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.1,"match_graph":0.35,"freshness":0.05}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:32.437Z","last_scraped_at":"2026-04-05T13:23:42.560Z","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=outfits-ai","compare_url":"https://unfragile.ai/compare?artifact=outfits-ai"}},"signature":"CE2IY+GicghW4waSbnA7GLLktu0jA5illrrkgz/t99SpNwMe+BA5+NcN+zcc3jmBVdT3+GtWjjoikhehAA2oBQ==","signedAt":"2026-06-21T10:46:20.261Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/outfits-ai","artifact":"https://unfragile.ai/outfits-ai","verify":"https://unfragile.ai/api/v1/verify?slug=outfits-ai","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"}}