{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_chefgpt","slug":"chefgpt","name":"ChefGPT","type":"product","url":"https://www.chefgpt.xyz","page_url":"https://unfragile.ai/chefgpt","categories":["app-builders"],"tags":[],"pricing":{"model":"freemium","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_chefgpt__cap_0","uri":"capability://planning.reasoning.dietary.constraint.aware.meal.planning","name":"dietary-constraint-aware meal planning","description":"Generates multi-day meal plans that simultaneously accommodate multiple household dietary restrictions (vegan, keto, gluten-free, allergies, medical conditions) by mapping user constraints to a recipe database or generation model, then optimizing for nutritional balance and ingredient overlap to minimize shopping complexity. Uses constraint satisfaction patterns to filter and rank meal combinations rather than simple database queries.","intents":["I need to plan meals for a family with 3 different dietary restrictions without cooking multiple dishes","Generate a week of meals that work for my vegan partner and my keto-focused fitness routine","Create meal plans that respect my child's nut allergy while keeping other family members satisfied"],"best_for":["Households with multiple dietary preferences seeking unified meal planning","Home cooks managing medical dietary requirements (diabetes, celiac, hypertension)","Parents balancing diverse family nutrition needs without meal prep burden"],"limitations":["No clinical validation for medical dietary claims — should not be relied upon for therapeutic diets without professional review","Constraint satisfaction may fail or produce repetitive meals when 4+ simultaneous restrictions are applied","Unknown whether recipe sourcing includes verified nutritional data or estimates from language model inference"],"requires":["Internet connection for API access to recipe database or LLM backend","User input of household dietary restrictions and preferences","Optional: nutritional data validation against USDA or similar database for medical accuracy"],"input_types":["text (dietary restrictions, allergies, cuisine preferences, serving size)","structured data (number of days to plan, meal frequency)"],"output_types":["structured meal plan (day-by-day, meal-by-meal with recipes)","aggregated shopping list with ingredient quantities","nutritional summary (calories, macros, allergen flags)"],"categories":["planning-reasoning","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_chefgpt__cap_1","uri":"capability://text.generation.language.recipe.customization.and.substitution.engine","name":"recipe customization and substitution engine","description":"Accepts a recipe and user constraints (dietary restrictions, ingredient availability, cooking skill level, equipment limitations) and generates ingredient substitutions and cooking method adaptations using semantic understanding of ingredient properties and culinary technique equivalence. Likely uses embedding-based similarity matching to find substitutes with similar flavor profiles, texture, and cooking behavior rather than rule-based lookup tables.","intents":["I'm allergic to dairy — what can I substitute for the cream in this pasta recipe?","This recipe calls for a stand mixer but I only have hand tools — how do I adapt the technique?","I don't have fresh basil — what herbs would work as a replacement in this pesto?"],"best_for":["Home cooks with dietary restrictions seeking to adapt existing recipes","Cooks with limited kitchen equipment or ingredient availability","Users learning cooking fundamentals who need technique guidance for substitutions"],"limitations":["Substitution quality depends on underlying recipe database coverage — rare or specialized ingredients may lack good alternatives","No validation that substitutions maintain food safety (e.g., some ingredient swaps may affect cooking time/temperature critically)","Technique adaptations may not account for precision-critical recipes (baking, emulsions) where substitutions fail"],"requires":["Recipe input (ingredients list, cooking instructions, or URL to recipe source)","User constraints specification (allergies, available ingredients, equipment, skill level)","Access to ingredient property database or embedding model trained on culinary data"],"input_types":["text (recipe ingredients and instructions)","structured data (dietary restrictions, available ingredients, equipment list)","optional: recipe URL for parsing"],"output_types":["modified recipe with substitutions highlighted","technique adaptations with step-by-step instructions","confidence scores or warnings for risky substitutions"],"categories":["text-generation-language","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_chefgpt__cap_2","uri":"capability://text.generation.language.cocktail.recipe.generation.and.mixology.guidance","name":"cocktail recipe generation and mixology guidance","description":"Generates original cocktail recipes based on spirit selection, flavor preferences, and available ingredients using a generative model trained on cocktail databases and mixology principles. Produces recipes with specific measurements, preparation techniques (shaking, stirring, layering), and garnish recommendations. Likely combines a cocktail ingredient database with LLM generation to create novel recipes that follow mixology conventions (spirit-forward, balanced flavor ratios, appropriate dilution).","intents":["I have gin, elderflower liqueur, and fresh lemon — what cocktail can I make?","Generate a spicy mezcal cocktail recipe for a dinner party","I want a low-ABV cocktail with herbal notes — what should I mix?"],"best_for":["Home bartenders and cocktail enthusiasts exploring new recipes","Event planners creating custom drink menus without professional mixology training","Users with specific spirits or ingredients seeking creative uses"],"limitations":["Generated recipes lack professional bartender validation — may produce unbalanced or unpalatable combinations","No guidance on ingredient quality, freshness, or sourcing (e.g., fresh vs bottled citrus affects flavor significantly)","Measurements may not account for variations in spirit proof, liqueur sweetness, or regional ingredient differences","No safety warnings for high-ABV combinations or ingredient interactions"],"requires":["Access to cocktail ingredient database with flavor profiles and ABV data","LLM fine-tuned or prompted with mixology conventions (spirit ratios, balance principles)","User input of available spirits and flavor preferences"],"input_types":["text (spirit selection, flavor preferences, occasion, available ingredients)","structured data (ingredient list with quantities, ABV preferences)"],"output_types":["cocktail recipe with ingredient measurements in ml/oz","preparation instructions (shake, stir, layer, build)","garnish and glassware recommendations","flavor profile description"],"categories":["text-generation-language","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_chefgpt__cap_3","uri":"capability://search.retrieval.ingredient.based.recipe.discovery.and.search","name":"ingredient-based recipe discovery and search","description":"Searches a recipe database or generates recipes using user-provided ingredients as the primary constraint, returning recipes that can be made with available pantry items. Implements semantic search or embedding-based matching to find recipes where provided ingredients form the core of the dish, ranked by ingredient overlap percentage and user ratings. May use vector similarity to match ingredient combinations to recipe embeddings rather than exact keyword matching.","intents":["I have chicken, tomatoes, and basil — what recipes can I make right now?","Show me recipes that use most of these 5 ingredients I have on hand","Find recipes that minimize additional shopping by using what I already have"],"best_for":["Home cooks reducing food waste by using available ingredients","Users with limited shopping budgets seeking to maximize pantry usage","Meal planners optimizing for ingredient overlap across multiple recipes"],"limitations":["Recipe database coverage varies — obscure ingredient combinations may return no results or generic suggestions","No distinction between primary ingredients and flavor enhancers — may suggest recipes where provided ingredients play minor roles","Ranking by ingredient overlap doesn't account for recipe quality, difficulty, or user preferences beyond ingredient match"],"requires":["Recipe database indexed by ingredient with embeddings or full-text search capability","User input of available ingredients (text list or structured format)","Optional: user ratings or popularity data for ranking results"],"input_types":["text (comma-separated ingredient list or natural language description)","structured data (ingredient quantities, dietary restrictions to apply)"],"output_types":["ranked list of recipes with ingredient match percentage","recipe details (ingredients, instructions, cook time, difficulty)","shopping list for missing ingredients"],"categories":["search-retrieval","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_chefgpt__cap_4","uri":"capability://data.processing.analysis.nutritional.analysis.and.macro.tracking","name":"nutritional analysis and macro tracking","description":"Analyzes recipes or meal plans to extract and display nutritional information (calories, macronutrients, micronutrients, allergens) by cross-referencing ingredients against a nutritional database (likely USDA FoodData Central or similar). Aggregates nutrition data across recipes to provide meal-level and daily summaries. May use OCR or recipe parsing to extract ingredient quantities and match them to database entries with portion size normalization.","intents":["What are the macros for this recipe I'm planning to cook?","Show me the daily calorie and protein totals for my meal plan","Identify all allergens in this recipe for my guest with a shellfish allergy"],"best_for":["Fitness-focused home cooks tracking macronutrients for training goals","Users managing medical dietary needs (diabetes, hypertension) requiring precise nutrition data","Event planners identifying allergen information for guest safety"],"limitations":["Nutritional accuracy depends on ingredient database quality and portion size estimation — homemade or regional ingredients may lack precise data","Cooking methods (frying, boiling) significantly affect nutrition but may not be accounted for in database lookups","No validation against clinical standards — should not be used as sole source for medical dietary management","Micronutrient data often incomplete or estimated in public databases"],"requires":["Access to nutritional database (USDA FoodData Central, Nutritionix, or similar API)","Recipe ingredient parsing (ingredient name, quantity, unit normalization)","Portion size data for recipes (servings count)"],"input_types":["text (recipe ingredients with quantities)","structured data (meal plan with recipes, serving sizes)"],"output_types":["nutritional summary per recipe (calories, macros, micros, allergens)","daily/weekly aggregated nutrition totals","allergen flags and warnings"],"categories":["data-processing-analysis","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_chefgpt__cap_5","uri":"capability://planning.reasoning.multi.user.household.preference.synchronization","name":"multi-user household preference synchronization","description":"Manages and coordinates dietary preferences, restrictions, and taste profiles for multiple household members, storing preference profiles and using them to filter and rank meal suggestions that satisfy household-wide constraints. Implements a preference aggregation system that identifies compatible meals (satisfying all members' constraints) and flags meals requiring modifications for specific individuals. May use scoring functions to rank meals by overall household satisfaction.","intents":["Plan meals that work for my vegan partner, my keto-focused spouse, and my kids' picky eating","Show me meals where everyone can eat the same base dish with minimal modifications","Track which family members like which cuisines and find meals that appeal to most of us"],"best_for":["Families with diverse dietary needs seeking unified meal planning","Household meal coordinators reducing cooking burden by finding compatible dishes","Shared household accounts managing preferences for 3+ people"],"limitations":["Preference profiles require manual setup and maintenance — no automatic learning from past meals or ratings","Scoring function for household satisfaction is opaque — users cannot control how preferences are weighted","No conflict resolution when preferences are mutually exclusive (e.g., one person vegan, another carnivore-focused)","Requires persistent user accounts and preference storage — not available in fully anonymous mode"],"requires":["User account system with profile storage for multiple household members","Preference schema supporting dietary restrictions, cuisine preferences, ingredient dislikes, allergies","Meal compatibility scoring algorithm"],"input_types":["structured data (household member profiles with dietary restrictions, preferences, allergies)","text (cuisine preferences, ingredient dislikes)"],"output_types":["meal suggestions ranked by household compatibility","modification suggestions for individual members","household satisfaction score per meal"],"categories":["planning-reasoning","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_chefgpt__cap_6","uri":"capability://data.processing.analysis.shopping.list.generation.and.optimization","name":"shopping list generation and optimization","description":"Generates aggregated shopping lists from meal plans by deduplicating ingredients across recipes, normalizing quantities (e.g., combining '2 cups flour' and '1 cup flour' into '3 cups flour'), and organizing by store section (produce, dairy, meat, pantry). May implement cross-recipe ingredient optimization to suggest bulk purchases or ingredient substitutions that reduce total shopping list length and cost. Uses recipe-to-ingredient parsing and quantity unit normalization.","intents":["Generate a shopping list from my week's meal plan with quantities combined","Organize my shopping list by store section to reduce checkout time","Show me which ingredients appear in multiple recipes so I can buy in bulk"],"best_for":["Meal planners reducing shopping friction by automating list generation","Budget-conscious cooks optimizing for ingredient reuse across recipes","Users with limited time seeking efficient grocery shopping workflows"],"limitations":["Quantity normalization may fail for recipes with vague measurements ('a pinch', 'to taste') or non-standard units","No price data integration — cannot optimize for cost or suggest cheaper alternatives","Store section organization is generic — doesn't account for store-specific layouts or local grocery stores","No inventory tracking — assumes user starts with empty pantry"],"requires":["Meal plan with recipes and ingredient quantities","Ingredient database with standard units and store categories","Unit conversion library for normalizing measurements (cups to grams, etc.)"],"input_types":["structured data (meal plan with recipes, ingredient quantities)"],"output_types":["aggregated shopping list with combined quantities","organized by store section or category","optional: ingredient frequency analysis showing cross-recipe usage"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_chefgpt__cap_7","uri":"capability://text.generation.language.cooking.technique.guidance.and.skill.level.adaptation","name":"cooking technique guidance and skill-level adaptation","description":"Provides step-by-step cooking instructions adapted to user skill level (beginner, intermediate, advanced) by expanding or condensing technique explanations, suggesting equipment alternatives, and flagging critical steps. May use recipe metadata (difficulty rating, technique tags) combined with user skill profile to generate appropriate instruction detail. Beginner recipes include more explanation of 'why' steps are performed; advanced recipes assume technique knowledge and focus on timing and precision.","intents":["I'm a beginner — explain each cooking step in detail so I understand what's happening","I'm experienced — give me concise instructions without over-explaining basic techniques","This recipe uses a technique I don't know — provide a tutorial or video reference"],"best_for":["Novice home cooks learning cooking fundamentals through guided recipes","Experienced cooks seeking efficient instructions without unnecessary detail","Users expanding their technique repertoire with unfamiliar cooking methods"],"limitations":["Skill-level adaptation is text-based — lacks video or visual demonstration of techniques","No real-time feedback on cooking progress (e.g., 'your sauce is the right consistency') — relies on user judgment","Technique explanations may not account for equipment variations (gas vs electric stove, oven calibration differences)","No validation that user has actually learned the technique — assumes comprehension from reading"],"requires":["Recipe database with technique tags and difficulty ratings","User skill profile (beginner/intermediate/advanced or technique-specific levels)","Technique explanation library with varying detail levels"],"input_types":["structured data (user skill level, recipe selection)","optional: specific technique user wants to learn"],"output_types":["cooking instructions adapted to skill level","technique explanations with varying detail","equipment alternatives and substitutions","timing and temperature guidance"],"categories":["text-generation-language","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_chefgpt__cap_8","uri":"capability://memory.knowledge.recipe.sourcing.and.attribution.tracking","name":"recipe sourcing and attribution tracking","description":"unknown — insufficient data. The artifact description does not specify whether recipes are sourced from a curated database, generated by LLM, or scraped from web sources. Attribution and sourcing methodology is not documented, making it impossible to assess how original content is generated versus retrieved, or whether proper credit is given to recipe sources.","intents":["I want to know where this recipe came from and who created it","Verify that recipes are from reputable sources for food safety","Find the original recipe author to support their work"],"best_for":["Users concerned with recipe authenticity and food safety verification","Content creators seeking to properly attribute recipe sources","Users wanting to explore original recipe authors and cookbooks"],"limitations":["Unknown sourcing methodology raises food safety concerns — no validation that recipes are tested or safe","No transparency on whether recipes are generated, curated, or sourced from third parties","Potential copyright or attribution issues if recipes are generated without proper source citation","No way to verify recipe accuracy or nutritional information reliability"],"requires":["Recipe sourcing documentation (database, generation method, web scraping, etc.)","Attribution system with source URLs or author information","Food safety validation process for generated or sourced recipes"],"input_types":["recipe selection or search query"],"output_types":["recipe source attribution (author, cookbook, website)","source URL or reference","food safety verification status"],"categories":["memory-knowledge","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":42,"verified":false,"data_access_risk":"high","permissions":["Internet connection for API access to recipe database or LLM backend","User input of household dietary restrictions and preferences","Optional: nutritional data validation against USDA or similar database for medical accuracy","Recipe input (ingredients list, cooking instructions, or URL to recipe source)","User constraints specification (allergies, available ingredients, equipment, skill level)","Access to ingredient property database or embedding model trained on culinary data","Access to cocktail ingredient database with flavor profiles and ABV data","LLM fine-tuned or prompted with mixology conventions (spirit ratios, balance principles)","User input of available spirits and flavor preferences","Recipe database indexed by ingredient with embeddings or full-text search capability"],"failure_modes":["No clinical validation for medical dietary claims — should not be relied upon for therapeutic diets without professional review","Constraint satisfaction may fail or produce repetitive meals when 4+ simultaneous restrictions are applied","Unknown whether recipe sourcing includes verified nutritional data or estimates from language model inference","Substitution quality depends on underlying recipe database coverage — rare or specialized ingredients may lack good alternatives","No validation that substitutions maintain food safety (e.g., some ingredient swaps may affect cooking time/temperature critically)","Technique adaptations may not account for precision-critical recipes (baking, emulsions) where substitutions fail","Generated recipes lack professional bartender validation — may produce unbalanced or unpalatable combinations","No guidance on ingredient quality, freshness, or sourcing (e.g., fresh vs bottled citrus affects flavor significantly)","Measurements may not account for variations in spirit proof, liqueur sweetness, or regional ingredient differences","No safety warnings for high-ABV combinations or ingredient interactions","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.36666666666666664,"quality":0.7300000000000001,"ecosystem":0.25,"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":"2026-05-24T12:16:29.716Z","last_scraped_at":"2026-04-05T13:23:42.552Z","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=chefgpt","compare_url":"https://unfragile.ai/compare?artifact=chefgpt"}},"signature":"4mwJJNtU8BXogseTVQn52ZpPDJ8WdtNA3UZ5GvWVwdcXg8ox1p/ZTUJb2WCKNQCzT1Dthv/KfCavVnjSIqDfDQ==","signedAt":"2026-06-22T15:25:04.382Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/chefgpt","artifact":"https://unfragile.ai/chefgpt","verify":"https://unfragile.ai/api/v1/verify?slug=chefgpt","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"}}