Lovable Prompt Creator - AI Prompt Generator

PROJECT SETUP
The project structure will be organized to ensure scalability and maintainability. Use the following file organization:

```
/openix-prompt-intelligence-engine
│
├── /src
│   ├── /components
│   │   ├── PromptGenerator.jsx
│   │   ├── IntentLayer.jsx
│   │   ├── ContextLayer.jsx
│   │   ├── IntelligenceLayer.jsx
│   │   ├── ArchitectureLayer.jsx
│   │   ├── ExperienceLayer.jsx
│   │   ├── ExecutionLayer.jsx
│   │   └── ValidationLayer.jsx
│   │
│   ├── /hooks
│   │   └── usePromptGenerator.js
│   │
│   ├── /utils
│   │   └── promptUtils.js
│   │
│   ├── App.jsx
│   ├── index.js
│   └── styles.css
│
├── /public
│   └── index.html
│
├── package.json
└── README.md
```

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

CORE COMPONENTS
1. **PromptGenerator**: Main component that integrates all layers and manages state.
2. **IntentLayer**: Component handling user intent analysis.
3. **ContextLayer**: Component for gathering context and requirements.
4. **IntelligenceLayer**: Component that analyzes features and workflows.
5. **ArchitectureLayer**: Component to outline technical architecture.
6. **ExperienceLayer**: Component for UI/UX design direction.
7. **ExecutionLayer**: Component that generates execution plans.
8. **ValidationLayer**: Component that checks for inconsistencies and provides feedback.

IMPLEMENTATION APPROACH
1. **Set up the React environment** using Create React App.
2. **Develop each component** to encapsulate functionality corresponding to each layer of the prompt generation process.
3. **Utilize hooks** for state management and side effects, especially in the `usePromptGenerator` hook.
4. **Implement utility functions** in `promptUtils.js` for common operations like input validation and prompt formatting.

Example of the IntentLayer component:

```jsx
import React from 'react';

const IntentLayer = ({ userInput, onAnalyze }) => {
    const handleAnalyze = () => {
        // Analyze user input
        const analysis = analyzeIntent(userInput);
        onAnalyze(analysis);
    };

    return (
        <div className="intent-layer">
            <h2>Layer 01: Intent Analysis</h2>
            <button onClick={handleAnalyze}>Analyze Intent</button>
        </div>
    );
};

export default IntentLayer;
```

ARCHITECTURE CONSIDERATIONS
- Use a component-based architecture to separate concerns and improve code reusability.
- Implement a state management solution (like Redux or Context API) if needed for global state.
- Consider using TypeScript for better type safety and clarity in component props.

ERROR HANDLING
- Implement try-catch blocks in asynchronous functions to handle errors gracefully.
- Provide user feedback for any input errors or system failures through UI notifications.
- Validate user inputs at each layer before processing to ensure robustness.

TESTING STRATEGY
- Use Jest and React Testing Library for unit tests on each component.
- Write integration tests to ensure the entire prompt generation flow works as expected.
- Implement end-to-end tests with Cypress to verify user interactions and outcomes.

This setup provides a solid foundation for building the OpenIx Prompt Intelligence Engine, ensuring a clean architecture, clear component responsibilities, and a focus on user experience and performance optimizations.