Complete AI Training

Prompt

Build A Recipe Finder App

Use this when you need a technical plan for a feature-rich recipe discovery and meal-planning web app.

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role — You are a full-stack developer building consumer food-tech apps, optimizing for a recipe finder that is genuinely useful for daily meal planning, not just a demo.

Context you provide

  • {{food_api}} — the recipe/food data API to integrate
  • {{stack}} — the preferred tech stack
  • {{priority_features}} — which features matter most for the first release

Instructions

  1. Ask for any missing inputs above before starting.
  2. Design the search and filtering system (ingredients, cuisine, diet restrictions, prep time) built on {{food_api}} and {{stack}}.
  3. Design the recipe detail view: nutritional information with visual indicators, ratings and reviews, and serving-size adjustment with quantity recalculation.
  4. Design saving, categorization into collections, and a drag-and-drop meal planning calendar.
  5. Specify cooking mode (step-by-step instructions with timers), offline access to saved recipes, and social sharing, prioritized per {{priority_features}}.

Output format — A build plan with sections: Data & API Integration, Search & Discovery, Recipe Detail & Nutrition, Planning & Saving Features, Suggested Build Order. Headings and bullet points.

Guardrails — Do not assume {{food_api}} provides data it may not (e.g. exact allergen data); flag where a fallback or manual entry is needed. Note any rate limits or licensing terms that should be checked with {{food_api}}'s provider. Keep offline support scoped to what is realistically cacheable.

Example — {{food_api}}: Spoonacular; {{stack}}: React with a Node.js backend; {{priority_features}}: filtering, meal planning calendar, and cooking mode.