{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_gift-matchr","slug":"gift-matchr","name":"Gift Matchr","type":"product","url":"https://giftmatchr.com","page_url":"https://unfragile.ai/gift-matchr","categories":["chatbots-assistants"],"tags":[],"pricing":{"model":"free","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_gift-matchr__cap_0","uri":"capability://text.generation.language.conversational.context.gathering.for.gift.selection","name":"conversational-context-gathering-for-gift-selection","description":"Engages users in a multi-turn dialogue to progressively gather recipient context (age, interests, relationship, occasion, budget) through natural language questions rather than forms. Uses turn-by-turn conversation state management to build a mental model of the gift-giving scenario, with each response informing subsequent clarifying questions. The system maintains conversation history to avoid redundant questions and refine understanding based on user corrections or elaborations.","intents":["I need to quickly tell an AI about someone I'm buying a gift for without filling out a form","I want the AI to ask follow-up questions that help me think through what gift would actually work","I need to provide context about budget, occasion, and recipient personality in a natural way"],"best_for":["busy professionals who prefer talking to typing","users unfamiliar with structured gift-search workflows","last-minute gift shoppers who need rapid context capture"],"limitations":["No persistent conversation memory across sessions — context resets on page reload or new conversation","Cannot disambiguate between homonyms or culturally-specific references without explicit clarification","Limited ability to detect sarcasm, irony, or indirect hints about preferences","No multi-language support for non-English gift contexts or cultural nuances"],"requires":["Web browser with JavaScript enabled","Internet connection for API calls to LLM backend","User willingness to engage in 3-5 conversational turns"],"input_types":["natural language text (free-form descriptions)","conversational responses to clarifying questions"],"output_types":["follow-up questions (text)","internal context representation (structured, not exposed to user)"],"categories":["text-generation-language","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_gift-matchr__cap_1","uri":"capability://planning.reasoning.multi.criteria.gift.recommendation.synthesis","name":"multi-criteria-gift-recommendation-synthesis","description":"Synthesizes gathered context (budget, age, interests, occasion, relationship type, recipient personality) into ranked gift suggestions by prompting an LLM to generate ideas that balance multiple competing constraints. The system likely uses prompt engineering to weight criteria (e.g., 'budget is hard constraint, interests are soft constraint') and generate 3-7 diverse suggestions rather than a single recommendation. Each suggestion includes a brief rationale explaining why it matches the recipient profile.","intents":["I want the AI to suggest gifts that fit multiple criteria at once (budget AND interests AND occasion)","I need 3-5 different gift ideas to choose from, not just one recommendation","I want to understand WHY each gift is suggested, not just get a list"],"best_for":["users with moderate to complex gift-giving scenarios (multiple constraints)","gift-givers who want to explore options rather than receive a single answer","scenarios with standard occasions (birthdays, holidays) and mainstream interests"],"limitations":["Recommendations are generic and may not account for deeply personal or niche interests","No real-time price checking — suggested items may be out of stock or price-mismatched","Cannot factor in recipient's existing possessions or recent purchases","Limited cultural awareness — may suggest inappropriate gifts for specific cultural contexts","No personalization based on gift-giver's own preferences or past successful gifts"],"requires":["Completed context from conversational-context-gathering capability","Access to LLM API (likely OpenAI or similar) with sufficient token budget","Internet connection for real-time API calls"],"input_types":["structured context object (recipient age, interests, budget, occasion, relationship)","implicit user preferences from conversation history"],"output_types":["ranked list of gift suggestions (text with rationales)","structured gift objects (name, category, estimated price, reasoning)"],"categories":["planning-reasoning","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_gift-matchr__cap_2","uri":"capability://planning.reasoning.occasion.and.relationship.aware.filtering","name":"occasion-and-relationship-aware-filtering","description":"Filters and contextualizes gift suggestions based on the specific occasion (birthday, holiday, wedding, thank-you, apology) and relationship type (friend, family, colleague, acquaintance, romantic partner) to avoid socially inappropriate recommendations. The system applies implicit rules or learned patterns (e.g., 'romantic gifts for spouses differ from gifts for colleagues') to weight suggestions and exclude categories that don't fit the context. This filtering happens during recommendation synthesis, not as a post-processing step.","intents":["I need gift ideas that are appropriate for the specific occasion and relationship","I want to avoid gifts that would be awkward or inappropriate given the context","I need the AI to understand that a gift for my boss should be different from a gift for my best friend"],"best_for":["users navigating complex social contexts (workplace, extended family, new relationships)","gift-givers in cultures with strong gift-giving etiquette","scenarios where social appropriateness is as important as personal preference"],"limitations":["Cannot handle ambiguous or non-standard relationships (e.g., 'my ex-partner's new spouse')","No support for cultural-specific occasion rules (e.g., Chinese New Year taboos, Hindu festival customs)","May over-generalize relationship types and miss nuanced dynamics","No ability to learn from user feedback about what was actually appropriate in past scenarios"],"requires":["Explicit occasion and relationship type provided during context gathering","LLM with sufficient training data on social norms (likely covered in general training)"],"input_types":["occasion type (string: birthday, holiday, wedding, etc.)","relationship type (string: friend, family, colleague, etc.)"],"output_types":["filtered gift suggestions (text)","appropriateness score or confidence level (implicit in ranking)"],"categories":["planning-reasoning","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_gift-matchr__cap_3","uri":"capability://planning.reasoning.budget.constrained.recommendation.generation","name":"budget-constrained-recommendation-generation","description":"Generates gift suggestions that respect hard budget constraints by incorporating price ranges into the LLM prompt and filtering suggestions to fall within the specified budget. The system likely uses estimated price ranges for common gift categories (e.g., 'luxury watches: $200-500', 'books: $10-30') to guide generation. Suggestions may include price estimates, though these are not verified against real-time retail data. The system can handle budget ranges (e.g., '$50-100') and may suggest combinations of smaller items if a single item exceeds budget.","intents":["I need gift ideas that fit my budget without having to manually filter by price","I want the AI to suggest gifts across different price points within my range","I need to know the approximate cost of each suggestion so I can plan my spending"],"best_for":["budget-conscious gift-givers","users buying gifts for multiple people with different budgets","scenarios where budget is a hard constraint (fixed spending limit)"],"limitations":["Price estimates are approximate and not verified against current retail prices","No integration with price comparison APIs — users must manually verify costs","Cannot account for regional price variations or currency differences","No support for dynamic pricing or sales — suggestions may be outdated","Cannot suggest gift combinations that total to budget (e.g., 'book + mug for $30')"],"requires":["Explicit budget or budget range provided during context gathering","LLM with knowledge of typical price ranges for common gift categories"],"input_types":["budget amount (number, in user's currency)","budget range (min-max tuple)"],"output_types":["gift suggestions with estimated prices (text)","price-filtered recommendation list"],"categories":["planning-reasoning","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_gift-matchr__cap_4","uri":"capability://planning.reasoning.interest.and.hobby.based.personalization","name":"interest-and-hobby-based-personalization","description":"Tailors gift suggestions to the recipient's stated interests and hobbies by extracting key themes from the conversation (e.g., 'photography', 'cooking', 'gaming', 'reading') and using them to guide recommendation generation. The system maps broad interest categories to specific gift ideas (e.g., 'photography' → camera accessories, photo books, lighting equipment) and prioritizes suggestions that align with these interests. This personalization is implicit in the LLM prompt rather than explicit category matching.","intents":["I want gift ideas that actually match what the recipient cares about, not generic suggestions","I need the AI to understand niche hobbies and suggest appropriate gifts for them","I want suggestions that show I know the recipient well, not just random items"],"best_for":["gift-givers buying for people with clear hobbies or interests","scenarios where personalization is important (close relationships, special occasions)","users who want to demonstrate thoughtfulness through gift selection"],"limitations":["Cannot detect implicit or hidden interests — relies on explicit user mention","Limited ability to suggest niche or specialized items for obscure hobbies","No learning from past gift-giving history or recipient feedback","May suggest clichéd gifts for popular hobbies (e.g., 'coffee mug' for coffee lovers)","Cannot account for skill level or experience within a hobby (beginner vs. expert)"],"requires":["Explicit mention of recipient interests during context gathering","LLM with broad knowledge of hobby-specific gift categories"],"input_types":["interest/hobby descriptions (text, free-form)","skill level or experience indicators (optional)"],"output_types":["interest-aligned gift suggestions (text)","hobby-specific recommendation categories"],"categories":["planning-reasoning","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_gift-matchr__cap_5","uri":"capability://planning.reasoning.age.appropriate.gift.recommendation","name":"age-appropriate-gift-recommendation","description":"Filters and contextualizes gift suggestions based on the recipient's age to ensure developmental appropriateness and safety. The system applies implicit age-based rules (e.g., 'no small choking hazards for toddlers', 'age-appropriate content for children', 'mature interests for adults') during recommendation generation. Age ranges are likely mapped to broad categories (toddler, child, teen, young adult, adult, senior) with different gift profiles for each. The system may also consider age-related interests (e.g., 'teens prefer tech and fashion' vs. 'seniors prefer comfort and nostalgia').","intents":["I need gift ideas that are actually appropriate for the recipient's age","I want to avoid gifts that are too childish or too mature for the recipient","I need the AI to understand how interests and preferences change with age"],"best_for":["gift-givers buying for children or teens (safety and developmental appropriateness critical)","multi-generational gift-giving scenarios","users unfamiliar with age-appropriate gift norms"],"limitations":["Cannot account for individual maturity levels or developmental differences within age groups","Limited ability to suggest gifts for very young children (safety regulations complex)","May over-generalize age-based interests (e.g., 'all teens like tech')","No support for gifts that span age ranges or grow with the recipient","Cannot factor in physical abilities or limitations that vary by age"],"requires":["Explicit age or age range provided during context gathering","LLM with knowledge of age-appropriate gift categories and safety considerations"],"input_types":["recipient age (number)","age range (min-max tuple)"],"output_types":["age-appropriate gift suggestions (text)","developmental appropriateness indicators (implicit in ranking)"],"categories":["planning-reasoning","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_gift-matchr__cap_6","uri":"capability://memory.knowledge.session.based.conversation.state.management","name":"session-based-conversation-state-management","description":"Maintains conversation state across multiple turns within a single session, tracking gathered context (recipient profile, budget, occasion, interests) and using it to avoid redundant questions and provide coherent follow-ups. The system stores conversation history in client-side or server-side state (likely session storage or temporary backend cache) and uses it to inform subsequent LLM prompts. State is reset on new conversation or page reload, with no persistent cross-session memory. The system may use conversation context to refine recommendations if the user provides feedback or corrections.","intents":["I want the AI to remember what I've already told it within this conversation","I need to provide additional context or corrections without re-explaining everything","I want the AI to ask follow-up questions based on what I've already said"],"best_for":["users engaging in multi-turn conversations (3-5+ exchanges)","scenarios where context refinement is needed","users who want to explore multiple gift options within one session"],"limitations":["No persistent memory across sessions — context is lost on page reload or new conversation","No user accounts or login required, so no cross-device continuity","Limited ability to track conversation context if user takes long breaks between messages","No explicit conversation history export or review feature","State management adds latency to each turn (API call + state update)"],"requires":["Web browser with session storage or cookies enabled","Stateful backend or client-side state management (likely session-based)"],"input_types":["natural language user messages (text)","implicit context from previous turns"],"output_types":["contextually-aware follow-up questions (text)","refined recommendations based on conversation history"],"categories":["memory-knowledge","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":39,"verified":false,"data_access_risk":"low","permissions":["Web browser with JavaScript enabled","Internet connection for API calls to LLM backend","User willingness to engage in 3-5 conversational turns","Completed context from conversational-context-gathering capability","Access to LLM API (likely OpenAI or similar) with sufficient token budget","Internet connection for real-time API calls","Explicit occasion and relationship type provided during context gathering","LLM with sufficient training data on social norms (likely covered in general training)","Explicit budget or budget range provided during context gathering","LLM with knowledge of typical price ranges for common gift categories"],"failure_modes":["No persistent conversation memory across sessions — context resets on page reload or new conversation","Cannot disambiguate between homonyms or culturally-specific references without explicit clarification","Limited ability to detect sarcasm, irony, or indirect hints about preferences","No multi-language support for non-English gift contexts or cultural nuances","Recommendations are generic and may not account for deeply personal or niche interests","No real-time price checking — suggested items may be out of stock or price-mismatched","Cannot factor in recipient's existing possessions or recent purchases","Limited cultural awareness — may suggest inappropriate gifts for specific cultural contexts","No personalization based on gift-giver's own preferences or past successful gifts","Cannot handle ambiguous or non-standard relationships (e.g., 'my ex-partner's new spouse')","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.31666666666666665,"quality":0.67,"ecosystem":0.2,"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":"2026-05-24T12:16:30.892Z","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=gift-matchr","compare_url":"https://unfragile.ai/compare?artifact=gift-matchr"}},"signature":"pmwSF9XUibxsILUkn9Ca3PC45GrlKiJHMVJnNlJ2Kihxv5K4VXswrPonXKmSbkxVgZS8hXouhn3eHU7ZWYs7DA==","signedAt":"2026-06-21T12:02:39.971Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/gift-matchr","artifact":"https://unfragile.ai/gift-matchr","verify":"https://unfragile.ai/api/v1/verify?slug=gift-matchr","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"}}