Lovable Prompt Creator - AI Prompt Generator

## APPLICATION OVERVIEW
Scora API is a risk intelligence backend designed for operational validation, anti-fraud screening, and decision automation. This web application will provide a streamlined interface for businesses to assess risk in onboarding processes, reduce manual reviews, and enhance decision-making efficiency through intelligent data analysis.

## CORE FEATURES
1. **Risk Validation Endpoint**: The main feature is the `/v1/validate` endpoint that processes multiple items, calculates risk scores, and returns validation results, including recommendations like `allow`, `review`, or `block`.
2. **Historical Intelligence**: Provides insights based on past interactions and behaviors associated with identified data, allowing users to understand risk patterns over time.
3. **Custom Rule Management**: Allows administrators to set up custom rules for risk assessment tailored to specific operational needs, enhancing flexibility in decision-making.
4. **Feedback System**: Users can provide feedback on validation outcomes, which helps the system learn and improve its decision-making process over time.
5. **Dashboard for Monitoring**: A user-friendly dashboard will display key metrics and statistics regarding the validation processes, user interactions, and overall system performance.
6. **Audit and Reporting**: This feature will provide detailed reports and audit logs for decisions made, allowing for transparency and accountability in operations.

## 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 application will feature a top navigation bar, a hero section for key messaging, followed by feature highlights and a call-to-action section, ending with a contact form.

## TECHNICAL REQUIREMENTS
- **Framework**: React with TypeScript
- **Styling**: Tailwind CSS
- **UI Components**: shadcn/ui
- **State Management**: React Context API for managing application state and user sessions, with potential use of Zustand for more complex state needs.

## IMPLEMENTATION STEPS
1. **Setup Development Environment**:
   - Initialize a new React project with TypeScript.
   - Install necessary dependencies: Tailwind CSS, shadcn/ui, and any other required packages.
  
2. **Create Project Structure**:
   - Organize the project into folders: `components`, `pages`, `hooks`, `context`, and `utils`.
   - Create a main application component that includes routing (if applicable).

3. **Design Components**:
   - Develop reusable components for buttons, cards, and forms using Tailwind CSS for styling.
   - Implement the navigation bar and footer.

4. **Build Core Features**:
   - Implement the `/v1/validate` endpoint integration using Fetch API or Axios.
   - Create forms for data submission that connect to the risk validation endpoint.
   - Develop the dashboard for displaying statistics and metrics.

5. **Implement User Feedback System**:
   - Create a feedback form where users can submit feedback on validation results.
   - Connect this form to the backend for data persistence.

6. **Setup Authentication (if applicable)**:
   - Implement user authentication and authorization using context or a state management library.

7. **Testing**:
   - Write unit tests for components and integration tests for API interactions.
   - Ensure all features are thoroughly tested for usability and performance.

8. **Deployment**:
   - Prepare the application for deployment on a platform like Vercel or Netlify.
   - Ensure all environment variables and API keys are securely managed.

## USER EXPERIENCE
Users will experience a seamless flow from entering data into the risk validation form to receiving instant feedback on their submissions. The dashboard will provide intuitive navigation through key metrics and insights, allowing users to adjust their strategies based on real-time data. Feedback mechanisms will ensure users feel heard, contributing to continuous improvement of the application. The overall design will emphasize clarity and simplicity, ensuring an engaging and informative user experience.