{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_ask-klem","slug":"ask-klem","name":"Ask Klem","type":"product","url":"https://www.askklem.com","page_url":"https://unfragile.ai/ask-klem","categories":["app-builders"],"tags":[],"pricing":{"model":"paid","free":false,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_ask-klem__cap_0","uri":"capability://image.visual.wardrobe.catalog.ingestion.and.visual.indexing","name":"wardrobe-catalog-ingestion-and-visual-indexing","description":"Accepts user-uploaded clothing item photographs and builds a searchable visual index through image feature extraction and metadata tagging. The system likely uses computer vision to detect clothing attributes (color, pattern, garment type, fabric appearance) and stores these as embeddings alongside user-provided metadata (brand, size, occasion tags). This indexed wardrobe becomes the foundation for all downstream recommendation and outfit generation tasks.","intents":["I need to photograph my closet and have the system understand what I own without manually tagging each item","I want the AI to recognize clothing attributes automatically so I don't have to describe every piece","I need a persistent, searchable inventory of my wardrobe that I can update incrementally"],"best_for":["fashion-conscious professionals with 50+ quality pieces who want systematic wardrobe management","users with organized closets who can photograph items in consistent lighting","individuals willing to invest 2-4 hours upfront to catalog their wardrobe"],"limitations":["Requires well-lit, clear photographs of each item — poor lighting or wrinkled clothing degrades attribute detection accuracy","No batch import from existing wardrobe management apps or retail APIs — manual photography required","Attribute detection likely struggles with complex patterns, layered garments, or non-standard silhouettes","Updates to wardrobe (new purchases, donations) require re-photographing and re-indexing"],"requires":["Mobile device or camera with reasonable photo quality (8MP+)","Active Ask Klem account with storage quota for image uploads","Estimated 2-4 hours for initial wardrobe photography and cataloging"],"input_types":["image (JPEG, PNG of individual clothing items)","text (optional user-provided tags, brand names, size, occasion labels)"],"output_types":["structured wardrobe inventory (JSON or database records with visual embeddings and metadata)","searchable wardrobe index"],"categories":["image-visual","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_ask-klem__cap_1","uri":"capability://planning.reasoning.context.aware.outfit.generation.from.inventory","name":"context-aware-outfit-generation-from-inventory","description":"Generates outfit combinations by querying the indexed wardrobe against contextual constraints (occasion, weather, mood, color palette, formality level) using a recommendation algorithm that likely scores compatibility based on visual harmony, garment type pairing rules, and learned user preferences. The system probably uses constraint satisfaction or ranking models to surface outfit combinations that maximize wearability while respecting user-defined style boundaries.","intents":["I need outfit suggestions for a specific occasion (business meeting, casual weekend, formal event) without browsing my entire wardrobe","I want the AI to suggest outfits that work with current weather conditions","I need help discovering outfit combinations I wouldn't naturally pair together"],"best_for":["professionals with decision fatigue who want AI-assisted daily outfit selection","users with cohesive, coordinated wardrobes (basics-heavy, color-coordinated closets)","individuals open to AI-suggested pairings outside their usual comfort zone"],"limitations":["Recommendation quality depends entirely on wardrobe diversity and coordination — limited effectiveness for eclectic or poorly-coordinated closets","No understanding of body type, skin tone, or personal fit preferences — purely visual/inventory-based matching","Cannot account for garment condition (stains, wear, need for dry cleaning) or current laundry status","Outfit suggestions may not reflect current fashion trends or seasonal appropriateness beyond basic weather input","No integration with calendar or schedule data to auto-suggest outfits based on upcoming events"],"requires":["Populated wardrobe inventory with minimum 30-50 items for meaningful outfit variety","User-provided context inputs (occasion type, weather, mood/style preference)","Active Ask Klem account"],"input_types":["text (occasion description: 'business meeting', 'casual brunch', 'formal dinner')","text (weather: 'rainy', 'hot', 'cold')","text (mood/style preference: 'bold', 'minimal', 'classic')","optional: color palette constraints"],"output_types":["outfit recommendation (list of 3-5 garment items with visual preview)","ranked outfit suggestions (multiple options with compatibility scores)","styling notes (how to accessorize, layer, or style the suggested outfit)"],"categories":["planning-reasoning","recommendation-engine"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_ask-klem__cap_2","uri":"capability://planning.reasoning.interactive.styling.feedback.and.preference.refinement","name":"interactive-styling-feedback-and-preference-refinement","description":"Allows users to rate, reject, or refine outfit recommendations through an interactive feedback loop that updates the recommendation model's understanding of personal style preferences. The system likely tracks which outfit suggestions users accept/reject and uses this behavioral signal to adjust future recommendations, possibly through collaborative filtering or preference learning that weights certain garment combinations, colors, or styles higher over time.","intents":["I want to tell the AI which outfit suggestions I like so it learns my actual style preferences","I need to refine recommendations by saying 'show me more like this' or 'never suggest that pairing again'","I want the AI to improve its suggestions the more I use it by learning from my feedback"],"best_for":["users with evolving or non-obvious style preferences that benefit from iterative refinement","individuals who want personalized recommendations that improve over time","users willing to provide explicit feedback to train the recommendation model"],"limitations":["Feedback loop requires consistent user engagement — sporadic usage limits model refinement","Cold-start problem: new users get generic recommendations until sufficient feedback is collected","No explicit style profiling (e.g., 'minimalist', 'maximalist', 'preppy') — relies purely on implicit feedback from outfit ratings","Feedback data is siloed per user account — no cross-user learning or style community insights","Cannot distinguish between 'I rejected this because it's ugly' vs 'I rejected this because I don't own the right shoes to complete it'"],"requires":["Active Ask Klem account with outfit recommendation history","User willingness to rate/provide feedback on suggestions (minimum 5-10 interactions for meaningful refinement)","Populated wardrobe inventory"],"input_types":["binary feedback (like/dislike on outfit suggestions)","text feedback (optional: 'too formal', 'love this color combo', 'need more casual options')","interaction data (which suggestions user views, how long they spend on each)"],"output_types":["refined outfit recommendations (updated based on feedback)","style preference profile (implicit: learned weights on colors, garment types, formality levels)","personalized recommendation ranking (suggestions reordered based on learned preferences)"],"categories":["planning-reasoning","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_ask-klem__cap_3","uri":"capability://planning.reasoning.shopping.guidance.and.wardrobe.gap.analysis","name":"shopping-guidance-and-wardrobe-gap-analysis","description":"Analyzes the indexed wardrobe to identify gaps (missing garment types, color gaps, occasion coverage) and provides shopping recommendations to fill those gaps strategically. The system likely compares the current wardrobe against a model of 'complete' wardrobes for the user's lifestyle and suggests specific items that would maximize outfit combinations or fill coverage gaps. This may include integration with retail APIs or shopping links to show where recommended items can be purchased.","intents":["I want to know what I should buy next to maximize my outfit options without impulse shopping","I need help identifying gaps in my wardrobe (e.g., 'you have no neutral blazers for business occasions')","I want shopping recommendations that complement my existing pieces rather than random new items"],"best_for":["budget-conscious users who want to shop strategically rather than impulsively","professionals building a cohesive work wardrobe incrementally","users with clear lifestyle needs (business, casual, active) who want targeted recommendations"],"limitations":["Gap analysis assumes a 'standard' wardrobe model that may not match non-traditional lifestyles or niche fashion preferences","No budget constraints or price sensitivity modeling — recommendations may suggest items outside user's spending comfort","No integration with personal financial data or purchase history — cannot prioritize recommendations by affordability","Shopping links may be outdated or region-specific, limiting utility for international users","Cannot account for personal fit challenges (e.g., 'I can never find pants that fit my proportions') that make generic gap-filling recommendations unhelpful","No sustainability or ethical sourcing considerations in shopping recommendations"],"requires":["Populated wardrobe inventory with sufficient items to analyze gaps","User-provided lifestyle context (work style, social activities, climate)","Active Ask Klem account"],"input_types":["wardrobe inventory (from catalog-ingestion capability)","text (lifestyle description: 'business professional', 'casual', 'active/athletic')","optional: budget constraints, brand preferences"],"output_types":["gap analysis report (missing garment types, color gaps, occasion coverage gaps)","shopping recommendations (specific item types with descriptions and estimated price ranges)","shopping links (URLs to retail partners where recommended items can be purchased)","priority ranking (which gaps to fill first for maximum outfit impact)"],"categories":["planning-reasoning","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_ask-klem__cap_4","uri":"capability://planning.reasoning.occasion.and.weather.contextual.filtering","name":"occasion-and-weather-contextual-filtering","description":"Filters outfit recommendations based on real-time or user-specified contextual constraints including weather conditions, occasion formality, and seasonal appropriateness. The system likely maintains a taxonomy of occasions (business meeting, casual date, formal event, gym, travel) and weather conditions (hot, cold, rainy, humid) and applies these as hard constraints or soft preference weights when generating outfit suggestions. May integrate with weather APIs to automatically detect current conditions.","intents":["I need outfit suggestions appropriate for a specific occasion without manually filtering through all possibilities","I want the AI to account for current weather when suggesting outfits","I need to plan outfits for an upcoming trip or event with specific dress codes"],"best_for":["users with varied lifestyles (work, casual, formal, athletic) who need occasion-specific suggestions","professionals in dress-code-sensitive environments (finance, law, corporate)","travelers who need outfit planning for different climates or social contexts"],"limitations":["Occasion taxonomy is predefined and may not capture niche or highly specific contexts (e.g., 'casual business in startup culture' vs 'formal business in finance')","Weather integration is likely basic (temperature, precipitation) and doesn't account for humidity, wind, or air quality","No understanding of cultural or regional dress code variations","Cannot distinguish between 'this outfit is technically appropriate for the occasion' and 'this outfit will make me feel confident and authentic'","Seasonal appropriateness is rule-based and may not reflect personal climate preferences or indoor climate control"],"requires":["Populated wardrobe inventory with items tagged or detected as appropriate for multiple occasions","User-provided occasion context or integration with calendar/event data","Optional: location data or manual weather input for weather-based filtering","Active Ask Klem account"],"input_types":["text (occasion: 'business meeting', 'casual dinner', 'formal wedding')","text (weather: 'hot', 'cold', 'rainy') or automatic weather API data","optional: formality level (casual, business casual, formal)","optional: location/climate zone"],"output_types":["filtered outfit recommendations (only suggestions appropriate for specified occasion/weather)","occasion-specific styling notes (e.g., 'this outfit works for business casual but add a blazer for formal meetings')","weather-appropriate outfit suggestions (e.g., layering recommendations for cold weather)"],"categories":["planning-reasoning","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_ask-klem__cap_5","uri":"capability://image.visual.visual.outfit.preview.and.styling.composition","name":"visual-outfit-preview-and-styling-composition","description":"Generates visual previews of recommended outfits by compositing images of selected wardrobe items together, allowing users to see how pieces look when worn together before committing to the outfit. This likely involves image manipulation (layering, scaling, positioning garment images) and possibly AI-generated or photorealistic rendering to show how items coordinate. The preview may include styling notes (accessories, layering suggestions, color harmony explanations).","intents":["I want to see what an outfit looks like visually before I wear it, not just read a list of items","I need to understand how colors and styles work together when I'm considering an outfit","I want visual confirmation that a suggested outfit actually looks good, not just theoretically appropriate"],"best_for":["visual learners who need to see outfits rather than read descriptions","users with color-matching or style-coordination uncertainty","individuals who want to preview outfits before getting dressed"],"limitations":["Visual preview quality depends on photo quality of individual wardrobe items — poorly lit or wrinkled photos produce poor composites","Compositing cannot account for fit, drape, or how garments actually look on a body — only shows flat item images","No virtual try-on or body-type-specific visualization — outfit preview is generic and doesn't reflect how items would look on the user","Accessory suggestions are text-based, not visually integrated into the outfit preview","Cannot show how items layer or how textures interact in real life — purely visual composition"],"requires":["High-quality photographs of wardrobe items (consistent lighting, clear garment visibility)","Image compositing/rendering capability (likely cloud-based)","Populated wardrobe inventory with visual data","Active Ask Klem account"],"input_types":["wardrobe item images (from catalog-ingestion capability)","outfit recommendation (list of garment items to composite)"],"output_types":["visual outfit preview (composite image showing selected items together)","styling notes (text description of color harmony, layering, accessory suggestions)","optional: color palette visualization (showing dominant colors in the outfit)"],"categories":["image-visual","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_ask-klem__cap_6","uri":"capability://memory.knowledge.style.preference.profiling.and.aesthetic.learning","name":"style-preference-profiling-and-aesthetic-learning","description":"Builds an implicit or explicit style profile by analyzing user feedback, outfit selections, and wardrobe composition to understand aesthetic preferences (color preferences, formality level, trend-sensitivity, silhouette preferences). The system likely uses clustering or classification to categorize the user's style (e.g., 'minimalist', 'classic', 'trendy', 'eclectic') and weights recommendations accordingly. This profile may be updated continuously as the user interacts with the system.","intents":["I want the AI to understand my personal style so recommendations feel authentic to me","I need to articulate my style preferences so the AI can learn what I actually like","I want to see how the AI perceives my style and adjust if it's off-base"],"best_for":["users with well-defined or evolving personal style who want AI recommendations to match their aesthetic","individuals who struggle to articulate their style but can recognize it when they see it","users willing to provide explicit style feedback to train the system"],"limitations":["Style profiling is implicit (learned from behavior) rather than explicit — users may not understand what preferences the AI has learned","No ability to distinguish between 'I like this style' and 'I like this item but not this style' — all feedback is treated as style signal","Style categories are predefined and may not capture nuanced or hybrid aesthetics (e.g., 'minimalist with maximalist accessories')","No cross-cultural or identity-based style understanding — recommendations may not account for cultural dress norms or personal identity expression","Style profile is static per account — no ability to have multiple style personas (e.g., 'work style' vs 'weekend style')"],"requires":["Active Ask Klem account with interaction history","Minimum 10-20 outfit interactions or feedback signals for meaningful style profiling","Populated wardrobe inventory"],"input_types":["implicit: outfit selections, feedback ratings, wardrobe composition","optional explicit: style preference tags or questionnaire responses"],"output_types":["style profile (implicit: learned preference weights on colors, garment types, formality, trends)","style category label (e.g., 'classic minimalist', 'trendy eclectic')","style confidence score (how confident the system is in its understanding of the user's style)"],"categories":["memory-knowledge","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_ask-klem__cap_7","uri":"capability://planning.reasoning.multi.occasion.outfit.planning.and.event.coordination","name":"multi-occasion-outfit-planning-and-event-coordination","description":"Enables users to plan outfits for multiple events or days in advance by creating outfit plans that account for occasion-specific requirements, weather forecasts, and wardrobe availability. The system likely allows users to specify upcoming events (with dates, occasions, dress codes) and generates outfit suggestions for each, potentially flagging conflicts (e.g., 'you've planned to wear this blazer for two events on the same day'). May integrate with calendar APIs to auto-detect events.","intents":["I need to plan outfits for a week of events with different dress codes and occasions","I want to make sure I'm not wearing the same outfit twice in a short period","I need outfit suggestions for an upcoming trip that account for the climate and activities"],"best_for":["professionals with packed social or business calendars who need outfit planning","travelers planning multi-day trips with varying activities and climates","individuals who want to coordinate outfits across multiple events"],"limitations":["No laundry cycle awareness — cannot account for garment availability if items need washing between events","No integration with actual calendar data — requires manual event entry or calendar API integration","Cannot account for outfit repetition across different social circles (e.g., wearing the same outfit to two different friend groups is fine, but wearing it to the same group twice is not)","Weather forecasting is limited to basic conditions and may be inaccurate for multi-day planning","No packing optimization for travel — outfit suggestions don't account for luggage space or weight constraints"],"requires":["Populated wardrobe inventory with sufficient variety for multiple occasions","User-provided event information (dates, occasions, dress codes, locations)","Optional: calendar API integration (Google Calendar, Outlook, etc.)","Active Ask Klem account"],"input_types":["event details (date, occasion, dress code, location, weather forecast)","optional: calendar data (via API integration)","wardrobe inventory"],"output_types":["multi-event outfit plan (outfit suggestions for each event with dates)","conflict detection (warnings if same item is planned for multiple events on same day)","packing list (if trip planning feature is enabled)","outfit coordination notes (how to mix and match across events)"],"categories":["planning-reasoning","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_ask-klem__cap_8","uri":"capability://automation.workflow.wardrobe.maintenance.and.care.guidance","name":"wardrobe-maintenance-and-care-guidance","description":"Provides clothing care and maintenance recommendations based on garment type, fabric, and condition. The system likely maintains metadata about garment care requirements (washing instructions, dry cleaning needs, storage recommendations) and may track garment wear frequency to suggest when items need maintenance or rotation. May include reminders for seasonal storage or care tasks.","intents":["I want to know how to properly care for my clothes so they last longer","I need reminders when items need dry cleaning or special care","I want to rotate my wardrobe seasonally and need guidance on storage"],"best_for":["users with high-quality or delicate clothing who want to preserve their investment","individuals who want to extend garment lifespan and reduce replacement frequency","users with seasonal wardrobes who need storage and rotation guidance"],"limitations":["Care guidance is generic based on garment type — cannot account for specific fabric blends or brand-specific care requirements","No integration with laundry or dry cleaning services — reminders are informational only","Cannot detect actual garment condition (stains, wear, damage) from photos — relies on user reporting","No tracking of actual wear frequency or condition deterioration over time","Storage recommendations are generic and don't account for climate, humidity, or available storage space"],"requires":["Wardrobe inventory with garment type and fabric information","Optional: user input on care preferences or laundry habits","Active Ask Klem account"],"input_types":["garment metadata (type, fabric, care instructions from photos or user input)","optional: user laundry/care preferences"],"output_types":["care guidance (washing instructions, drying recommendations, special care notes)","maintenance reminders (when to dry clean, when to rotate, seasonal storage tips)","garment longevity tips (how to extend lifespan of specific items)"],"categories":["automation-workflow","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":37,"verified":false,"data_access_risk":"high","permissions":["Mobile device or camera with reasonable photo quality (8MP+)","Active Ask Klem account with storage quota for image uploads","Estimated 2-4 hours for initial wardrobe photography and cataloging","Populated wardrobe inventory with minimum 30-50 items for meaningful outfit variety","User-provided context inputs (occasion type, weather, mood/style preference)","Active Ask Klem account","Active Ask Klem account with outfit recommendation history","User willingness to rate/provide feedback on suggestions (minimum 5-10 interactions for meaningful refinement)","Populated wardrobe inventory","Populated wardrobe inventory with sufficient items to analyze gaps"],"failure_modes":["Requires well-lit, clear photographs of each item — poor lighting or wrinkled clothing degrades attribute detection accuracy","No batch import from existing wardrobe management apps or retail APIs — manual photography required","Attribute detection likely struggles with complex patterns, layered garments, or non-standard silhouettes","Updates to wardrobe (new purchases, donations) require re-photographing and re-indexing","Recommendation quality depends entirely on wardrobe diversity and coordination — limited effectiveness for eclectic or poorly-coordinated closets","No understanding of body type, skin tone, or personal fit preferences — purely visual/inventory-based matching","Cannot account for garment condition (stains, wear, need for dry cleaning) or current laundry status","Outfit suggestions may not reflect current fashion trends or seasonal appropriateness beyond basic weather input","No integration with calendar or schedule data to auto-suggest outfits based on upcoming events","Feedback loop requires consistent user engagement — sporadic usage limits model refinement","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.2833333333333333,"quality":0.63,"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":"2026-05-24T12:16:29.133Z","last_scraped_at":"2026-04-05T13:23:42.562Z","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=ask-klem","compare_url":"https://unfragile.ai/compare?artifact=ask-klem"}},"signature":"/+0N+xhTWfj+Deq46fvtMdxuwNEdTu/cYXq6HKO03mgm0fs+tTm+guc6Nc7co34js1KJlMVqvZslri9CN9oeDQ==","signedAt":"2026-06-20T15:57:50.474Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/ask-klem","artifact":"https://unfragile.ai/ask-klem","verify":"https://unfragile.ai/api/v1/verify?slug=ask-klem","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"}}