{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_mymealplan","slug":"mymealplan","name":"Mymealplan","type":"product","url":"https://www.mymealplan.ai","page_url":"https://unfragile.ai/mymealplan","categories":["app-builders"],"tags":[],"pricing":{"model":"free","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_mymealplan__cap_0","uri":"capability://planning.reasoning.dietary.restriction.aware.meal.plan.generation","name":"dietary-restriction-aware meal plan generation","description":"Generates multi-day meal plans by processing user dietary constraints (keto, vegan, gluten-free, allergies, religious restrictions) through an LLM-based constraint solver that filters recipe databases and ensures no conflicting ingredients appear across meals. The system likely uses prompt engineering or fine-tuned models to maintain consistency across meal sequences while respecting multiple simultaneous restrictions without manual recipe curation.","intents":["I need a week of meal plans that respect my keto diet AND my partner's vegan preferences without creating two separate plans","Generate meal plans that automatically exclude all tree nuts due to my child's allergy","Create meal plans that follow my religious dietary laws (halal, kosher) without having to manually filter recipes"],"best_for":["individuals with multiple or complex dietary restrictions","families with mixed dietary needs seeking unified meal planning","users avoiding manual recipe filtering and cross-contamination risks"],"limitations":["No evidence of nutritional accuracy validation — macro balancing for specific health goals (e.g., 40g protein per meal) is unclear","Limited to pre-indexed recipe database; cannot generate truly novel meal combinations outside training data","Constraint satisfaction may fail silently if restrictions are too narrow (e.g., vegan + keto + nut-free + low-FODMAP simultaneously)"],"requires":["User account with dietary preference input form","Internet connection for API calls to LLM backend","No specific software/hardware prerequisites"],"input_types":["text (dietary restrictions as comma-separated list or natural language)","structured data (checkboxes for common restrictions)"],"output_types":["structured meal plan (JSON or HTML with meal names, dates, portions)","recipe details (ingredients, cooking instructions)"],"categories":["planning-reasoning","personalization"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_mymealplan__cap_1","uri":"capability://planning.reasoning.preference.based.meal.personalization.with.learning","name":"preference-based meal personalization with learning","description":"Adapts meal plan recommendations based on stated user preferences (cuisine type, cooking time, ingredient preferences, flavor profiles) and potentially implicit feedback (saved/skipped meals). The system uses preference vectors or embedding-based similarity matching to rank recipes and ensure generated plans align with user taste profiles rather than generic recommendations.","intents":["I prefer Mediterranean cuisine and meals under 30 minutes — generate plans that match my style","Exclude meals I've already marked as 'dislike' from future recommendations","Generate meal plans biased toward recipes using ingredients I already have at home"],"best_for":["users with strong cuisine or cooking-style preferences","repeat users who benefit from personalization over time","busy professionals seeking quick-to-prepare meal options"],"limitations":["Cold-start problem: new users without preference history receive generic recommendations until sufficient feedback is collected","No explicit collaborative filtering — cannot leverage similar users' preferences to improve recommendations","Preference drift over time is not modeled; seasonal or life-stage changes in preferences may not be detected"],"requires":["User account with preference input (cuisine, cooking time, ingredient dislikes)","Optional: interaction history (saved/skipped meals) for implicit feedback"],"input_types":["text (cuisine preferences, cooking time constraints)","structured data (preference checkboxes, ingredient lists)","implicit signals (meal saves, skips, ratings)"],"output_types":["ranked meal recommendations (ordered by preference match score)","personalized meal plan (JSON with meals ranked by user preference alignment)"],"categories":["planning-reasoning","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_mymealplan__cap_2","uri":"capability://data.processing.analysis.automated.shopping.list.generation.from.meal.plans","name":"automated shopping list generation from meal plans","description":"Extracts ingredients from selected meal plans, deduplicates across meals, aggregates quantities, and generates organized shopping lists grouped by store section (produce, dairy, proteins, pantry). The system likely parses recipe ingredient lists using NLP or regex patterns, normalizes units (cups to grams), and consolidates duplicate ingredients across multiple meals to minimize shopping friction.","intents":["Convert my 7-day meal plan into a single consolidated shopping list organized by grocery store layout","Automatically combine ingredient quantities across multiple recipes (e.g., 2 cups flour from recipe A + 1 cup from recipe B = 3 cups total)","Export shopping list to mobile app or print-friendly format for in-store use"],"best_for":["users seeking to reduce grocery shopping time and cognitive load","families managing multiple meal plans who need consolidated shopping lists","budget-conscious shoppers wanting to avoid duplicate purchases"],"limitations":["No price optimization — cannot suggest cheaper alternatives or seasonal substitutions to reduce total grocery cost","Unit normalization may fail for ambiguous ingredients (e.g., 'chicken' without weight specification)","No integration with actual grocery store inventory or pricing data; cannot check stock or suggest nearby stores","Cannot account for pantry staples already owned by user — may suggest repurchasing common items"],"requires":["Completed meal plan with recipe details (ingredients and quantities)","Internet connection for API calls"],"input_types":["structured meal plan data (recipes with ingredient lists and quantities)","optional: user pantry inventory (for deduplication)"],"output_types":["text shopping list (plain text or markdown)","structured data (JSON with items grouped by category)","formatted export (PDF, CSV, mobile app format)"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_mymealplan__cap_3","uri":"capability://planning.reasoning.multi.day.meal.plan.sequencing.with.variety.enforcement","name":"multi-day meal plan sequencing with variety enforcement","description":"Generates meal sequences across multiple days that avoid repetition and ensure dietary variety (e.g., no chicken two nights in a row, balanced protein sources across the week). The system uses constraint-based scheduling or graph-based optimization to select meals that satisfy variety constraints while respecting dietary restrictions and user preferences.","intents":["Generate a 7-day meal plan with no repeated meals or ingredients across the week","Ensure protein sources are varied (chicken, fish, beef, plant-based) across meals","Create meal sequences that balance heavy/light meals (no two heavy meals in a row)"],"best_for":["users seeking nutritional variety and meal diversity over planning periods","families wanting to avoid meal fatigue from repetitive recipes","health-conscious users wanting balanced nutrient distribution across days"],"limitations":["Variety constraints may conflict with dietary restrictions, causing plan generation to fail (e.g., vegan diet with 7 different protein sources may exceed recipe database)","No nutritional analysis — cannot guarantee macro/micronutrient balance across the week, only ingredient diversity","Temporal constraints (e.g., 'don't serve seafood on Mondays') are not explicitly modeled","Limited recipe database means variety enforcement may result in less appealing meal combinations"],"requires":["Recipe database with sufficient variety to satisfy constraints","User preferences and dietary restrictions as input","Planning period (number of days)"],"input_types":["integer (number of days to plan)","structured constraints (variety rules, dietary restrictions, preferences)"],"output_types":["ordered meal sequence (JSON with meals assigned to specific days)","variety metrics (ingredient/protein source distribution across days)"],"categories":["planning-reasoning","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_mymealplan__cap_4","uri":"capability://text.generation.language.natural.language.meal.plan.customization","name":"natural language meal plan customization","description":"Accepts free-form text input describing meal plan modifications (e.g., 'swap Tuesday's chicken for fish', 'add more vegetarian options', 'make meals faster') and applies changes to generated plans using LLM-based intent parsing and recipe substitution logic. The system interprets natural language requests, identifies affected meals, and performs substitutions while maintaining constraint satisfaction.","intents":["I don't like the Tuesday meal — ask the AI to swap it for something similar but different","Tell the system 'I'm busier this week, make all meals 20 minutes or less'","Request 'add more Mediterranean flavors' and have the system reweight recipe selection"],"best_for":["non-technical users preferring conversational interfaces over form-based customization","users making ad-hoc adjustments to pre-generated plans","mobile-first users where typing natural language is faster than navigating menus"],"limitations":["Intent parsing may fail for ambiguous requests (e.g., 'lighter meals' could mean fewer calories or smaller portions)","No multi-turn conversation context — each request is processed independently without memory of previous modifications","Substitution logic may violate constraints if natural language request conflicts with dietary restrictions (e.g., 'add more cheese' for vegan user)","No explanation of why a request cannot be fulfilled (e.g., 'no fish recipes available for your restrictions')"],"requires":["Existing meal plan to modify","LLM backend with intent parsing capability","Recipe database with substitution mappings"],"input_types":["text (natural language modification requests)"],"output_types":["modified meal plan (JSON with updated meals)","change summary (text explaining what was modified)"],"categories":["text-generation-language","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_mymealplan__cap_5","uri":"capability://data.processing.analysis.nutritional.analysis.and.macro.tracking","name":"nutritional analysis and macro tracking","description":"Calculates nutritional content (calories, protein, carbs, fats, vitamins, minerals) for generated meal plans using recipe nutrient databases and displays macro/micronutrient breakdowns per meal and across the planning period. The system likely integrates with USDA FoodData Central or similar nutrient databases, aggregates ingredient-level nutrition data, and provides visualizations or summaries of nutritional profiles.","intents":["Show me the total calories and macros for each day to ensure I'm hitting my fitness goals","Verify that my meal plan provides sufficient protein for my workout routine","Check if the plan meets daily micronutrient targets (iron, calcium, vitamin D)"],"best_for":["fitness-focused users tracking macros for muscle gain or weight loss","users with specific nutritional health goals (e.g., high-protein, low-sodium)","athletes and health-conscious individuals requiring precise nutritional data"],"limitations":["Nutritional accuracy depends on recipe database quality and ingredient-level nutrient data; user-provided recipes may lack accurate nutritional information","No personalized daily targets — cannot adapt recommendations based on user age, weight, activity level, or health conditions","Cooking methods (boiling, frying, baking) affect nutrient retention but are not modeled; nutritional data assumes standard preparation","Portion size estimation may be inaccurate if recipes lack precise weight specifications","No integration with fitness trackers (MyFitnessPal, Cronometer) for real-time macro tracking"],"requires":["Recipe database with ingredient-level nutritional data (USDA FoodData Central or similar)","Meal plan with ingredient quantities and portion sizes"],"input_types":["structured meal plan (recipes with ingredients and quantities)"],"output_types":["nutritional summary (JSON with calories, macros, micros per meal and daily totals)","visualizations (charts showing macro distribution, nutrient heatmaps)","text reports (daily/weekly nutritional summaries)"],"categories":["data-processing-analysis","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_mymealplan__cap_6","uri":"capability://search.retrieval.recipe.database.search.and.filtering","name":"recipe database search and filtering","description":"Enables users to browse and search the underlying recipe database using filters (cuisine, cooking time, difficulty, ingredients, dietary tags) and full-text search. The system likely indexes recipes with metadata tags and uses keyword matching or semantic search to surface relevant recipes, allowing users to explore options before committing to AI-generated plans.","intents":["Search for 'quick weeknight dinners' and filter by 'under 30 minutes' to find recipes I can cook","Browse all vegan recipes in the database to see what options are available","Find recipes that use specific ingredients I have on hand (e.g., 'recipes with salmon')"],"best_for":["users wanting to explore recipe options before AI plan generation","users seeking inspiration or specific recipe types","users validating that the recipe database matches their needs"],"limitations":["Limited recipe variety compared to mature platforms (Allrecipes, Food Network) — database may be small or lack depth","No user ratings or reviews — cannot assess recipe quality or difficulty based on community feedback","Search functionality likely uses basic keyword matching rather than semantic understanding (e.g., 'quick meals' may not match 'fast dinners')","No recipe source attribution — unclear if recipes are original, licensed, or scraped"],"requires":["Recipe database with metadata (cuisine, cooking time, difficulty, dietary tags)","Search index (likely keyword-based or simple semantic search)"],"input_types":["text (search query)","structured filters (cuisine, cooking time, difficulty, dietary tags)"],"output_types":["recipe list (JSON with recipe names, descriptions, metadata)","recipe details (ingredients, instructions, nutritional info, cooking time)"],"categories":["search-retrieval","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_mymealplan__cap_7","uri":"capability://automation.workflow.meal.plan.export.and.sharing","name":"meal plan export and sharing","description":"Exports generated meal plans in multiple formats (PDF, CSV, JSON, mobile app format) and enables sharing via links or email. The system likely generates formatted documents, creates shareable URLs with plan snapshots, and integrates with email or messaging APIs for distribution.","intents":["Export my meal plan as a PDF to print and post on the fridge","Share my meal plan with my spouse via a link so they can see what we're eating this week","Download the meal plan as CSV to import into a spreadsheet or other app"],"best_for":["users wanting to share plans with family or roommates","users preferring offline access to meal plans (PDF, print)","users integrating meal plans with other tools (spreadsheets, calendar apps)"],"limitations":["No real-time collaboration — exported plans are static snapshots; changes made by one user don't sync to shared copies","Shared links may lack access controls — unclear if plans can be shared privately or if they're publicly accessible","No integration with calendar apps (Google Calendar, Outlook) for automatic meal scheduling","Export formats may not preserve all plan metadata (nutritional info, shopping lists, recipe links)"],"requires":["Completed meal plan","Export/sharing infrastructure (PDF generation, URL shortening, email API)"],"input_types":["structured meal plan (JSON or internal format)"],"output_types":["PDF (formatted meal plan document)","CSV (tabular meal plan data)","JSON (structured plan data)","shareable URL (link to plan snapshot)","email (plan sent via email)"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":39,"verified":false,"data_access_risk":"high","permissions":["User account with dietary preference input form","Internet connection for API calls to LLM backend","No specific software/hardware prerequisites","User account with preference input (cuisine, cooking time, ingredient dislikes)","Optional: interaction history (saved/skipped meals) for implicit feedback","Completed meal plan with recipe details (ingredients and quantities)","Internet connection for API calls","Recipe database with sufficient variety to satisfy constraints","User preferences and dietary restrictions as input","Planning period (number of days)"],"failure_modes":["No evidence of nutritional accuracy validation — macro balancing for specific health goals (e.g., 40g protein per meal) is unclear","Limited to pre-indexed recipe database; cannot generate truly novel meal combinations outside training data","Constraint satisfaction may fail silently if restrictions are too narrow (e.g., vegan + keto + nut-free + low-FODMAP simultaneously)","Cold-start problem: new users without preference history receive generic recommendations until sufficient feedback is collected","No explicit collaborative filtering — cannot leverage similar users' preferences to improve recommendations","Preference drift over time is not modeled; seasonal or life-stage changes in preferences may not be detected","No price optimization — cannot suggest cheaper alternatives or seasonal substitutions to reduce total grocery cost","Unit normalization may fail for ambiguous ingredients (e.g., 'chicken' without weight specification)","No integration with actual grocery store inventory or pricing data; cannot check stock or suggest nearby stores","Cannot account for pantry staples already owned by user — may suggest repurchasing common items","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":"2026-05-24T12:16:31.858Z","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=mymealplan","compare_url":"https://unfragile.ai/compare?artifact=mymealplan"}},"signature":"KQw4dOMEII34y3zJZdktBMo9kBRMHFKNer+3KnEfUAQz5seihAXfR5NytrLgYge3W6OJGJigznmO795RXTdTCg==","signedAt":"2026-06-21T13:43:55.620Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/mymealplan","artifact":"https://unfragile.ai/mymealplan","verify":"https://unfragile.ai/api/v1/verify?slug=mymealplan","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"}}