Lovable Prompt Creator - AI Prompt Generator

## APPLICATION OVERVIEW
This application is a web app designed to connect restaurants and hotels with freelance waitstaff for various services such as breakfast, lunch, and dinner. By facilitating communication between businesses and waiters, the app allows restaurants to hire additional staff efficiently while ensuring compliance with social security regulations.

## CORE FEATURES
1. **User Registration**: A straightforward registration process for both restaurants and waitstaff, allowing users to create profiles and indicate their role (restaurant or waiter).
2. **Search and Match**: A robust search feature enabling restaurants to find and hire waitstaff based on specific criteria such as experience, skills, and availability.
3. **Profile Highlight**: A featured waiter profile for Carlos Medina, showcasing his high ratings and expertise in sidra pouring, fish carving, rice dishes, ham cutting, and proficiency in English, along with his seven years of experience.
4. **Communication Portal**: An integrated messaging system that allows real-time communication between restaurants and hired waitstaff to coordinate service details.
5. **Payment Processing**: A transparent payment system where restaurants pay €90 per service, and a €5 fee is charged for app usage, with clear invoicing for both parties.
6. **Feedback System**: A review system allowing restaurants to rate their experience with waitstaff, helping to maintain quality and reliability.

## DESIGN SPECIFICATIONS
- **Visual Style**: Minimalist - The design focuses on clean lines, ample white space, and a minimal color palette to enhance readability and user engagement.
- **Color Mode**: Light theme with dark text on light backgrounds, promoting a fresh and inviting atmosphere.
- **Layout**: The main layout features a top navigation bar, a central content area for user profiles and search results, and a footer with links to terms and conditions and support. The page should be organized into clear sections for easy navigation.
- **Typography**: Use a sans-serif font such as 'Roboto' for body text, ensuring clarity and modern appeal. Headings should be bold and larger to establish a clear hierarchy, while body text remains legible with appropriate line spacing.

## TECHNICAL REQUIREMENTS
- **Framework**: React with TypeScript for building a scalable and maintainable application.
- **Styling**: Tailwind CSS for rapid and responsive styling.
- **UI Components**: Use shadcn/ui for pre-built, customizable components to expedite UI development.
- **State Management**: Implement React Context or Redux for managing user states and application data efficiently.

## IMPLEMENTATION STEPS
1. **Set Up Development Environment**: Initialize a React project with TypeScript and install necessary dependencies, including Tailwind CSS and shadcn/ui.
2. **Create User Authentication**: Develop user registration and login functionalities for both restaurants and waitstaff, ensuring secure handling of user data.
3. **Design UI Components**: Design the main layout and components using Tailwind CSS, focusing on minimalist aesthetics and responsive design principles.
4. **Implement Search and Match Functionality**: Create a search feature that filters waitstaff profiles based on user-defined criteria.
5. **Develop Communication Portal**: Integrate a messaging system allowing users to communicate directly within the app.
6. **Set Up Payment Processing**: Implement a payment gateway to handle transactions and ensure secure processing of payments.
7. **Launch Feedback System**: Create a system for restaurants to leave reviews and ratings for waitstaff, displaying feedback on their profiles.

## USER EXPERIENCE
The user journey begins with a simple registration process, where users select their role as either a restaurant or waiter. Upon logging in, restaurants can effortlessly search for waitstaff, view highlighted profiles, and initiate communication through the messaging portal. After hiring, the seamless payment process ensures clarity regarding costs. Following the service, restaurants can leave feedback, fostering a quality-driven community. This intuitive flow emphasizes user satisfaction and engagement throughout the application.