Lovable Prompt Creator - AI Prompt Generator

```markdown
## PROJECT DEFINITION
Build a web application for an AI Sales Agent designed specifically for e-commerce brands. This application will help brands sell their products through their websites and social channels by providing interactive sales support, product recommendations, and customer engagement features.

## DESIGN REQUIREMENTS
- Visual Style: minimalist - Clean, simple design with plenty of white space, minimal color palette, and focus on typography
- Color Mode: Light theme with dark text on light backgrounds
- Primary Color: #1978E5 (accent for buttons, links, highlights)
- Typography: Use Inter from Google Fonts for headings, Inter for body text and UI elements
- Border Radius: 8px (moderately rounded) for buttons, cards, and inputs

## TECH STACK & CONSTRAINTS
- Programming Language: JavaScript
- Framework: React.js for the front end
- Backend: Node.js with Express for API services
- Database: MongoDB for storing product information and user interactions
- Additional Libraries: TensorFlow.js for AI functionalities and Axios for API requests
- Ensure the application is responsive and accessible.

## BREAKDOWN INTO TASKS
1. **Setup Project Structure**
   - Create a new React application using Create React App.
   - Set up directories for components, services, and styles.

2. **Design UI Components**
   - Create reusable components for buttons, cards, and navigation.
   - Implement a header and footer for the application.

3. **Integrate AI Functionality**
   - Develop the AI Sales Agent logic using TensorFlow.js to provide product recommendations.
   - Create a service to handle user queries and responses.

4. **Connect to Backend**
   - Set up a Node.js server with Express to handle incoming requests and serve product data.
   - Implement MongoDB for storing product listings and user interaction history.

5. **Testing and Validation**
   - Write unit tests for components and services using Jest.
   - Conduct user testing to gather feedback on the AI agent's performance and user experience.

## IMPLEMENTATION GUIDANCE
1. Start by creating a new React project using `npx create-react-app ai-sales-agent`.
2. Install necessary packages: `npm install axios @mui/material @emotion/react @emotion/styled`.
3. Create a `components` folder for your UI components and a `services` folder for API interactions.
4. Implement the header with navigation links and a main banner to introduce the AI Sales Agent.
5. Build a product card component that displays product information and a button to interact with the AI Sales Agent.
6. Set up the Node.js server by creating a `server.js` file and defining routes for fetching product data.

## ITERATION STRATEGY
After the initial implementation:
- Gather user feedback on the AI's recommendations and adjust the model as needed.
- Refine UI/UX based on usability tests and make improvements.
- Optimize performance by reviewing API call efficiency and ensuring fast load times.

## TESTING & VALIDATION
- Use Jest to run unit tests on the components and ensure they render correctly.
- Test API endpoints using Postman to validate the backend functionality.
- Perform user acceptance testing with a small group of e-commerce brand representatives to ensure the application meets their needs.

By following these instructions, you will create a comprehensive AI Sales Agent application tailored for e-commerce brands, enhancing their ability to sell products through innovative technology.
```