# Phase 2: AI Integration and AI Chat Extension
**Timeline: Weeks 5-10**

This phase focuses on implementing the AI integration and developing the AI Chat extension with personality selector.

## Week 5-6: AI Integration Framework

### Claude Integration
- [ ] Research Claude API capabilities and limitations
- [ ] Set up Claude API authentication
- [ ] Implement Claude API client wrapper
- [ ] Create model selection interface
- [ ] Implement context window management
- [ ] Design streaming response handling

### LM Studio Integration
- [ ] Set up integration with LM Studio for local models
- [ ] Implement model selection and management interface
- [ ] Create performance optimization for different hardware
- [ ] Develop parameter adjustment interface
- [ ] Test custom model loading capabilities

### AI Provider Framework
- [ ] Design and implement AI provider abstraction layer
- [ ] Create provider switching mechanism
- [ ] Implement fallback strategies
- [ ] Design common interface for different AI providers
- [ ] Build provider-specific optimizations

### API Key Management
- [ ] Design secure API key storage system
- [ ] Implement encryption for API keys
- [ ] Create user interface for API key management
- [ ] Build key validation mechanism
- [ ] Implement key rotation support

## Week 7-8: AI Chat Extension Development

### Conversational Interface
- [ ] Design and implement chat interface
- [ ] Create message threading system
- [ ] Implement real-time message streaming
- [ ] Build typing indicators and response status
- [ ] Design and implement file/media attachment support

### AI Personality Selector
- [ ] Design personality system architecture
- [ ] Create predefined personality profiles
- [ ] Implement personality customization interface
- [ ] Build personality switching mechanism
- [ ] Develop personality parameter management
- [ ] Implement personality persistence between sessions

### Context Management
- [ ] Design conversation history storage
- [ ] Implement efficient context window management
- [ ] Create dynamic context prioritization
- [ ] Build context summarization for long conversations
- [ ] Implement context attachment from other extensions

### Chat History and Memory
- [ ] Design and implement chat history storage
- [ ] Create search and filtering for past conversations
- [ ] Implement conversation export capabilities
- [ ] Build conversation pinning and categorization
- [ ] Develop conversation continuation from history

## Week 9-10: AI Security and Integration

### Chat Security
- [ ] Implement end-to-end encryption for conversations
- [ ] Create secure message storage
- [ ] Design and implement deletion controls
- [ ] Build logging and auditing features
- [ ] Implement content filtering options

### Extension Integration
- [ ] Design AI extension API
- [ ] Implement extension access to AI capabilities
- [ ] Create context sharing between AI and extensions
- [ ] Develop command delegation to extensions
- [ ] Build extension communication framework

### Command Parsing
- [ ] Design command recognition system
- [ ] Implement command parsing and routing
- [ ] Create command execution framework
- [ ] Build command help and suggestion system
- [ ] Develop natural language command understanding

### Privacy Controls
- [ ] Design comprehensive privacy settings
- [ ] Implement data retention controls
- [ ] Create data export and deletion capabilities
- [ ] Build privacy policy integration
- [ ] Develop transparency reporting features

### Performance Optimization
- [ ] Profile AI response performance
- [ ] Implement response caching where appropriate
- [ ] Optimize context management for speed
- [ ] Reduce memory consumption for long conversations
- [ ] Implement adaptive quality settings based on device

## Final Deliverables Checklist

### AI Chat Extension
- [ ] Chat interface works fluidly with real-time updates
- [ ] AI personalities can be selected and customized
- [ ] Conversations maintain context appropriately
- [ ] History is properly stored and retrievable
- [ ] Performance is optimized for different devices

### AI Integration
- [ ] Claude API integration functions correctly
- [ ] LM Studio integration works for local models
- [ ] Provider abstraction layer functions as intended
- [ ] API keys are stored securely
- [ ] Switching between providers works seamlessly

### Security and Privacy
- [ ] End-to-end encryption is properly implemented
- [ ] Privacy controls function as expected
- [ ] Data retention policies are enforced
- [ ] User data is handled according to best practices
- [ ] Security testing has been conducted

### Documentation
- [ ] AI Chat extension usage is documented
- [ ] API key setup instructions are clear
- [ ] AI capabilities and limitations are documented
- [ ] Privacy practices are clearly explained
- [ ] Extension integration API is documented

## Development Standards
- Always create unit tests for new AI functionality
- Minimize context window usage for efficiency
- Document all AI-related interfaces and behaviors
- Ensure privacy by design in all AI features
- Create meaningful and descriptive AI prompts
- Test with multiple AI models and personalities