Lovable Prompt Creator - AI Prompt Generator

## APPLICATION OVERVIEW
This project is a web application designed to analyze and provide real-time sports signals, particularly focused on NBA player props. The system will utilize Lovable AI in conjunction with ESPN to gather and process data, ensuring accurate performance predictions and statistical insights for users.

## CORE FEATURES
1. **Real-Time Signal Generation**: Automatically generate player signals based on live game data, ensuring at least two player props are shown when NBA games are in progress.
2. **News Integration**: Pull in real-time news updates regarding players across basketball, football, and tennis to affect predictions on performance metrics.
3. **Historical Performance Analysis**: Use deep learning algorithms to analyze past performances of players, generating actionable insights and adjusting signals based on historical data.
4. **Odds Research**: Continuously monitor and update odds from various sources through Lovable AI and ESPN to provide users with the best betting insights.
5. **Bug Fixes and Data Integrity**: Implement critical bug fixes to ensure accurate historical data and prevent incorrect signal generation during live games.
6. **User-Friendly Dashboard**: Create a responsive dashboard where users can view signals, news, and insights in a clean and organized manner.

## DESIGN SPECIFICATIONS
- **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
- **Layout**: The main layout will consist of a top navigation bar, a hero section displaying the latest signals, followed by a news section, performance stats, and a user dashboard for a comprehensive overview.

## TECHNICAL REQUIREMENTS
- **Framework**: React with TypeScript
- **Styling**: Tailwind CSS
- **UI Components**: shadcn/ui
- **State Management**: Redux (or Context API if preferred)

## IMPLEMENTATION STEPS
1. **Set Up the Development Environment**: Initialize a new React project with TypeScript and install Tailwind CSS and necessary UI components.
2. **Design the Layout**: Create the main layout structure with a navigation bar, hero section, and dedicated areas for news and signals.
3. **Integrate Lovable AI and ESPN APIs**: Set up API calls to gather player data and news in real-time.
4. **Develop Signal Generation Logic**: Implement the core logic for generating player signals based on real-time data and historical performance.
5. **Implement Bug Fixes**: Address critical issues related to data integrity and ensure signals only appear for scheduled games.
6. **Create the User Dashboard**: Develop a dashboard component where users can view current signals, news updates, and historical performance stats.
7. **Test and Optimize**: Conduct thorough testing to ensure all features function correctly and the user experience is seamless.

## USER EXPERIENCE
Users will interact with a clean dashboard that showcases real-time signals, relevant news updates, and historical player performance. The design will prioritize easy navigation and quick access to important information, ensuring users can make informed decisions based on the generated insights. Key interactions will involve selecting specific sports or players to view tailored signals and news, with a responsive design that adapts to various devices for on-the-go access.