Updated documentation.

documentation/todo/phase_four.md

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+# Phase 4: Reminders & Calendar Extension
+**Timeline: Weeks 17-22**
+
+This phase focuses on implementing the Reminders & Calendar functionality with potential integration with the Goal Planner extension.
+
+## Week 17-18: Reminders System Implementation
+
+### Time-based Reminders
+- [ ] Design reminder data structure and schema
+- [ ] Implement reminder creation interface
+- [ ] Develop reminder editing and deletion
+- [ ] Create time-based triggering system
+- [ ] Build notification delivery mechanism
+
+### Recurring Reminders
+- [ ] Implement recurring pattern definition
+- [ ] Create daily/weekly/monthly/yearly options
+- [ ] Develop custom recurrence patterns
+- [ ] Build exception handling for recurrence
+- [ ] Design recurrence preview and validation
+
+### Notification System
+- [ ] Implement multi-platform notifications
+- [ ] Create notification customization options
+- [ ] Develop notification acknowledgment tracking
+- [ ] Build notification snooze functionality
+- [ ] Design notification grouping and batching
+
+### Priority and Categorization
+- [ ] Implement priority levels for reminders
+- [ ] Create category management for reminders
+- [ ] Develop filtering by priority and category
+- [ ] Build sorting options for reminder lists
+- [ ] Design visual indicators for priority levels
+
+## Week 19-20: Calendar Interface Development
+
+### Calendar View
+- [ ] Design and implement monthly calendar view
+- [ ] Create weekly and daily view options
+- [ ] Develop agenda/list view alternative
+- [ ] Build view customization options
+- [ ] Implement print and export functionality
+
+### Event Management
+- [ ] Implement event creation interface
+- [ ] Create event editing and deletion
+- [ ] Develop all-day vs. time-specific events
+- [ ] Build multi-day event handling
+- [ ] Design event details and description
+
+### Timeline Visualization
+- [ ] Create visual timeline of upcoming events
+- [ ] Implement zooming and scrolling
+- [ ] Develop filtering and customization
+- [ ] Build event clustering for busy periods
+- [ ] Design color coding by category/source
+
+### Location-based Alerts
+- [ ] Implement location awareness (if appropriate)
+- [ ] Create geofencing for location triggers
+- [ ] Develop location suggestion and search
+- [ ] Build favorite locations management
+- [ ] Design privacy controls for location data
+
+## Week 21-22: Goal Planner Integration
+
+### Unified Interface
+- [ ] Design combined goal and reminder view
+- [ ] Implement visual integration between systems
+- [ ] Create consistent interaction patterns
+- [ ] Build navigation between related items
+- [ ] Develop unified search across both systems
+
+### Synchronized View
+- [ ] Implement goal deadlines as calendar events
+- [ ] Create milestone visualization on calendar
+- [ ] Develop progress tracking within calendar
+- [ ] Build reminder creation from goals
+- [ ] Design visual distinction between types
+
+### AI Scheduling Suggestions
+- [ ] Integrate AI for optimal scheduling
+- [ ] Create time allocation recommendations
+- [ ] Develop conflict detection and resolution
+- [ ] Build workload balancing suggestions
+- [ ] Design goal-aligned time management
+
+### Time Blocking
+- [ ] Implement time blocking interface
+- [ ] Create block customization and templates
+- [ ] Develop recurring time blocks
+- [ ] Build productivity analytics for blocks
+- [ ] Design block visualization on calendar
+
+### Integration Testing
+- [ ] Test goal-calendar synchronization
+- [ ] Verify notification delivery
+- [ ] Validate data consistency between systems
+- [ ] Ensure performance with large datasets
+- [ ] Confirm backup and restore functionality
+
+## Final Deliverables Checklist
+
+### Reminders System
+- [ ] Reminder creation and management works correctly
+- [ ] Recurring reminders function as expected
+- [ ] Notifications are delivered reliably
+- [ ] Priority and categorization are effective
+- [ ] User can easily manage their reminders
+
+### Calendar Functionality
+- [ ] Calendar view displays events clearly
+- [ ] Event management is intuitive
+- [ ] Timeline provides useful upcoming view
+- [ ] Location-based features work as intended
+- [ ] Calendar data can be exported/shared
+
+### Goal Planner Integration
+- [ ] Unified interface is cohesive and intuitive
+- [ ] Synchronized view shows relevant information
+- [ ] AI suggestions are helpful for scheduling
+- [ ] Time blocking enhances productivity
+- [ ] Systems work together without conflicts
+
+### Documentation
+- [ ] Reminders & Calendar features are documented
+- [ ] Integration with Goal Planner is explained
+- [ ] Best practices for time management are included
+- [ ] Export and sharing options are described
+- [ ] Privacy considerations for location are addressed
+
+## Development Standards
+- Ensure reliable notification delivery across platforms
+- Test timezone handling thoroughly
+- Optimize calendar rendering for performance
+- Create comprehensive tests for recurring pattern logic
+- Document all reminder and calendar interfaces
+- Test with realistic usage patterns and data volumes

documentation/todo/phase_three.md

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+# Phase 3: User Goal Planner Extension
+**Timeline: Weeks 11-16**
+
+This phase focuses on implementing the User Goal Planner extension for short, medium, and long-term goal setting and tracking.
+
+## Week 11-12: Goal Planning Foundation
+
+### Goal Management System
+- [ ] Design goal data structure and schema
+- [ ] Implement goal creation interface
+- [ ] Develop goal editing and updating
+- [ ] Create goal deletion and archiving
+- [ ] Build goal categorization system
+
+### Goal Categorization
+- [ ] Implement short/medium/long-term categorization
+- [ ] Create custom category management
+- [ ] Develop goal tagging system
+- [ ] Build goal filtering and sorting
+- [ ] Design goal priority system
+
+### Progress Tracking
+- [ ] Implement progress percentage calculation
+- [ ] Create milestone tracking system
+- [ ] Develop goal status states (not started, in progress, completed, etc.)
+- [ ] Build progress history and trends
+- [ ] Design progress visualization indicators
+
+### Milestone Management
+- [ ] Create milestone creation interface
+- [ ] Implement milestone dependencies
+- [ ] Develop milestone completion tracking
+- [ ] Build milestone notification system
+- [ ] Design milestone adjustment capabilities
+
+## Week 13-14: Goal Visualization and Analytics
+
+### Progress Visualization
+- [ ] Design and implement progress charts
+- [ ] Create goal completion timelines
+- [ ] Develop milestone visualization
+- [ ] Build category-based progress views
+- [ ] Implement comparison to planned schedule
+
+### Goal Timeline View
+- [ ] Create visual timeline interface
+- [ ] Implement goal placement on timeline
+- [ ] Develop timeline zooming and navigation
+- [ ] Build timeline filtering by category
+- [ ] Design timeline export capabilities
+
+### Analytics Implementation
+- [ ] Create goal completion rate analytics
+- [ ] Implement trending and patterns analysis
+- [ ] Develop time-to-completion statistics
+- [ ] Build category performance metrics
+- [ ] Design personal productivity insights
+
+### Notification System
+- [ ] Implement goal deadline notifications
+- [ ] Create milestone approach alerts
+- [ ] Develop progress update reminders
+- [ ] Build achievement celebration notifications
+- [ ] Design notification preference management
+
+## Week 15-16: AI-Enhanced Goal Planning
+
+### AI Goal Recommendations
+- [ ] Integrate AI for goal suggestions
+- [ ] Implement personalized goal recommendations
+- [ ] Create goal difficulty estimation
+- [ ] Build realistic timeline suggestions
+- [ ] Develop goal balancing across categories
+
+### Actionable Steps Generation
+- [ ] Implement AI-assisted step generation
+- [ ] Create step sequencing and dependencies
+- [ ] Develop step effort estimation
+- [ ] Build step completion tracking
+- [ ] Design step adjustment capabilities
+
+### Adaptive Goal Adjustment
+- [ ] Implement progress-based goal adjustment
+- [ ] Create adaptive milestone management
+- [ ] Develop deadline renegotiation system
+- [ ] Build goal scope refinement
+- [ ] Design intelligent priority shifting
+
+### Goal Prioritization
+- [ ] Implement AI-assisted prioritization
+- [ ] Create impact vs. effort analysis
+- [ ] Develop deadline-based prioritization
+- [ ] Build category balancing algorithm
+- [ ] Design dependency-aware prioritization
+
+### AI Chat Integration
+- [ ] Implement conversational goal management
+- [ ] Create natural language goal creation
+- [ ] Develop chat-based progress updates
+- [ ] Build goal inquiry and reporting via chat
+- [ ] Design AI coaching conversations for goals
+
+## Final Deliverables Checklist
+
+### Goal Planning System
+- [ ] Goal creation and management works smoothly
+- [ ] Short/medium/long-term categorization functions correctly
+- [ ] Progress tracking provides accurate information
+- [ ] Milestones can be created and managed effectively
+- [ ] Goals can be categorized and prioritized
+
+### Visualization and Analytics
+- [ ] Progress visualization is clear and informative
+- [ ] Timeline view shows goals in chronological order
+- [ ] Analytics provide useful insights
+- [ ] Notifications are timely and relevant
+- [ ] Reports can be generated and exported
+
+### AI Enhancement
+- [ ] AI recommendations are helpful and relevant
+- [ ] Step generation creates actionable plans
+- [ ] Goal adjustments adapt to changing circumstances
+- [ ] Prioritization helps users focus on important goals
+- [ ] Chat integration allows natural interaction with goals
+
+### Documentation
+- [ ] Goal Planner usage is clearly documented
+- [ ] AI features are explained with examples
+- [ ] Integration with other extensions is described
+- [ ] Best practices for goal setting are included
+- [ ] Export and backup procedures are documented
+
+## Development Standards
+- Create comprehensive tests for goal tracking logic
+- Ensure goal data is stored securely
+- Document all goal-related interfaces
+- Optimize visualization for performance
+- Create meaningful AI training for goal recommendations
+- Test with various goal scenarios and timeframes

documentation/todo/phase_two.md

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+# 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