Lovable Prompt Creator - AI Prompt Generator

Generate Optimized Prompts for AI Development Platforms

Transform your web or app idea into comprehensive, optimized prompts for Lovable, Bolt, Replit, V0, and Cursor. Our AI-powered tool helps you create production-ready prompts with features, styling, and technical specifications.

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    UNA APP QUE ME SUGIERA RECETAS SEMANALES SEGUN LOS MACRONUTRIENTES QUE LE VAYA INDICANDO.

    Lovable
    Enhanced
    Minimalist
    light mode
    2w ago

    Generated Prompt

    ## APPLICATION OVERVIEW
    This application is a web app designed to suggest weekly recipes based on user-defined macronutrient targets. The app aims to simplify meal planning by providing personalized recipe recommendations, enhancing users' dietary management and cooking experience.
    
    ## CORE FEATURES
    1. **User Profile Creation**: Users can create and manage their profiles, inputting dietary preferences and macronutrient goals.
    2. **Recipe Recommendation Engine**: An intelligent algorithm that suggests recipes tailored to user-defined macronutrient ratios and preferences.
    3. **Weekly Meal Planner**: A calendar feature that allows users to plan their meals for the week, integrating the recommended recipes.
    4. **Nutritional Information Display**: Each recipe will display detailed nutritional information, including calorie count and macronutrient breakdown.
    5. **Save and Share Recipes**: Users can save their favorite recipes and share them with friends or family through social media.
    6. **Responsive Design**: The app will be fully responsive, ensuring a seamless experience on both desktop and mobile devices.
    
    ## DESIGN SPECIFICATIONS
    - **Visual Style**: Minimalist - Clean, simple design with plenty of white space and a focus on typography to enhance readability and usability.
    - **Color Mode**: Light theme with dark text on light backgrounds to ensure clarity and reduce eye strain.
    - **Layout**: 
      - A top navigation bar for easy access to profile, meal planner, and recipe sections.
      - A main content area featuring a recipe grid and a sidebar for filtering recipes by macronutrient goals.
      - A footer with links to privacy policy and contact information.
    - **Typography**: 
      - Primary font: 'Inter' for body text, ensuring clarity and modern look.
      - Headings: Use bold weights to establish hierarchy and improve scannability.
    
    ## TECHNICAL REQUIREMENTS
    - **Framework**: React with TypeScript for robust type checking and component management.
    - **Styling**: Tailwind CSS for utility-first styling approach and rapid UI development.
    - **UI Components**: Utilize shadcn/ui for pre-built components that align with the minimalist aesthetic.
    - **State Management**: React Context API or Zustand for managing global state effectively, if necessary.
    
    ## IMPLEMENTATION STEPS
    1. **Setup Development Environment**: Initialize a new React project using Create React App with TypeScript template.
    2. **Install Dependencies**: Add Tailwind CSS and shadcn/ui to the project for styling and UI components.
    3. **Create User Authentication**: Implement user profile creation and authentication using Firebase or another suitable service.
    4. **Develop Recipe Recommendation Engine**: Utilize a simple algorithm or API to fetch recipes based on user input for macronutrients.
    5. **Build Weekly Meal Planner**: Create a calendar component that allows users to drag and drop recipes into their weekly plan.
    6. **Implement Nutritional Information Display**: Ensure each recipe card dynamically displays nutritional data based on the selected recipe.
    7. **Add Save and Share Functionality**: Integrate sharing options with social media and a feature to save recipes in user profiles.
    8. **Optimize for Responsiveness**: Ensure all components are responsive using Tailwind’s utility classes for mobile and desktop views.
    
    ## USER EXPERIENCE
    Users begin by creating an account and entering their dietary preferences. They are then directed to the recipe recommendation engine, where they can specify their macronutrient goals. The app presents a curated list of recipes, allowing users to view nutritional details. Users can drag and drop their selected recipes into the weekly meal planner, which updates accordingly. They can save their favorite recipes for quick access and share them easily with others, all within a clean and intuitive interface that enhances their cooking and dietary experience.

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    How it works

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    2

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    3

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