Sasha Studio Comprehensive Feature Implementation List
Generated: 2025-08-05 UTC
Purpose: Complete feature breakdown for building a fully working Sasha Studio product
Total Features: 120+ organized by implementation priority and dependencies
Overview
This document provides a comprehensive list of every feature needed to build Sasha Studio from the ground up. Features are organized in logical implementation order, with clear dependencies, prototype recommendations, and references to existing guides.
Implementation Philosophy: Each feature can be prototyped in isolation to test and understand how it works, then guides created for successful patterns before full implementation.
Third-Party Services & Prerequisites
Important: Before implementing features, ensure all required third-party services are configured.
Complete Setup Guide: See Third-Party Services Setup Guide for detailed setup instructions.
Quick Reference - Required Services by Feature
Feature Category Required Services Setup Priority Authentication (#26-43) Supabase Day 1 AI Chat (#76-103) Anthropic, OpenAI Day 1 Payments (Licensing) Stripe Week 1 Email (#30-31) SendGrid Week 1 Publishing (#156-170) Domain, Cloudflare Week 1 Monitoring (#216-233) Sentry, Google Analytics Week 2 Note: Many features will fail without proper service configuration and valid API keys.
Foundation Infrastructure (25 Features)
Implementation Readiness Legend
- π’ Well Defined - Clear requirements, existing patterns, ready to implement
- π‘ Needs Research - Concept clear but implementation details need investigation
- π΄ Requires Prototyping - Complex integration, needs proof-of-concept first
Container & Environment Setup
| # | Feature | Priority | Implementation Readiness | Notes & Research Needed |
|---|---|---|---|---|
| 1 | Docker Container Configuration | P0 | π’ Well Defined | Standard Node.js container setup, well-documented patterns Lesson: Always create .dockerignore to exclude node_modules from builds |
| 2 | Multi-Stage Docker Build | P0 | π’ Well Defined | Common Docker pattern, existing examples available Lesson: Clean Docker resources regularly - can consume 13GB+ disk space |
| 3 | Environment Variable Management | P0 | π‘ Needs Research | Research: File-based secrets vs env vars for container security Lesson: .env files need explicit mounting: - ./.env:/app/.env |
| 4 | Health Check Endpoints | P0 | π’ Well Defined | Standard Express.js endpoints, simple implementation Lesson: Always verify all dependent services have accessible health endpoints |
| 5 | Process Management | P0 | π‘ Needs Research | Research: PM2 vs Docker native process management trade-offs Lesson: Use Supervisord for multi-service containers with proper signal handling |
| 6 | File System Permissions | P0 | π‘ Needs Research | Research: Non-root user setup with file mount access patterns Lesson: Docker volume mounting can override container dependencies |
| 7 | Security Hardening | P1 | π‘ Needs Research | Guide Needed: Container security hardening checklist Lesson: Configuration files can be accidentally created as directories |
| 8 | Log Rotation | P1 | π’ Well Defined | Standard logrotate or Docker logging driver setup Lesson: Container logs reveal 90% of issues: `docker compose logs [service] |
Guide Reference: Docker Setup Guide
Database & Storage
| # | Feature | Priority | Implementation Readiness | Notes & Research Needed |
|---|---|---|---|---|
| 9 | PostgreSQL Schema Design | P0 | π‘ Needs Research | Guide Needed: Schema design for conversations, files, users, audit trails Lesson: Use specific PostgreSQL array syntax: array_agg(DISTINCT element) for JSON arrays |
| 10 | Database Migrations | P0 | π’ Well Defined | Standard Node.js migration tools (Knex, Sequelize, Prisma) Lesson: Database migration timing critical - run before dependent services start |
| 11 | Connection Pooling | P0 | π’ Well Defined | Well-established patterns with pg-pool or ORM built-ins Lesson: Direct database connections work fine for MVP - avoid premature complexity |
| 12 | Redis Caching Layer | P1 | π’ Well Defined | Standard Redis integration, clear use cases |
| 13 | File Storage System | P0 | π΄ Requires Prototyping | Complex: Docker volume mounts + permissions + multi-source files |
| 14 | Backup Strategy | P1 | π‘ Needs Research | Research: PostgreSQL + file backup automation in containerized env Lesson: Implement automated backups from day 1 - data loss is unrecoverable |
| 15 | Storage Monitoring | P1 | π‘ Needs Research | Research: Disk monitoring within Docker containers |
Guide Reference: Supabase Complete Setup Guide
Core Services
| # | Feature | Priority | Implementation Readiness | Notes & Research Needed |
|---|---|---|---|---|
| 16 | Express.js API Server | P0 | π’ Well Defined | Standard Express.js setup, well-documented patterns |
| 17 | WebSocket Server | P0 | π΄ Requires Prototyping | Complex: Real-time streaming + token-by-token + reconnection logic Lesson: Streaming responses require proper connection resilience and client-side buffer management |
| 18 | Request Validation | P0 | π’ Well Defined | Standard validation libraries (Joi, Yup, express-validator) Lesson: API validation must match database constraints exactly |
| 19 | Error Handling | P0 | π’ Well Defined | Common Express.js error handling middleware patterns |
| 20 | API Rate Limiting | P1 | π’ Well Defined | Well-established libraries (express-rate-limit) |
| 21 | CORS Configuration | P0 | π’ Well Defined | Standard CORS middleware setup |
| 22 | Request Logging | P0 | π’ Well Defined | Morgan or Winston logging patterns |
| 23 | Performance Monitoring | P1 | π‘ Needs Research | Research: APM integration (New Relic, DataDog) vs custom metrics |
| 24 | Graceful Shutdown | P1 | π‘ Needs Research | Research: Docker signal handling + WebSocket cleanup patterns Lesson: Use Supervisord for multi-service containers with proper signal handling |
| 25 | Service Discovery | P2 | π‘ Needs Research | Low Priority: Single container initially, but plan for scaling |
Guide Reference: API Integration Guide
Authentication & User Management (18 Features)
Authentication System
| # | Feature | Priority | Implementation Readiness | Notes & Research Needed |
|---|---|---|---|---|
| 26 | User Registration | P0 | π’ Well Defined | Standard patterns with validation, well-documented |
| 27 | User Login | P0 | π’ Well Defined | Common authentication flow |
| 28 | JWT Token Management | P0 | π’ Well Defined | Standard JWT libraries (jsonwebtoken) Lesson: API key management is crucial - store securely and rotate regularly |
| 29 | Password Hashing | P0 | π’ Well Defined | bcrypt is standard, well-established patterns |
| 30 | Password Reset Flow | P0 | π‘ Needs Research | Research: Email service integration (SendGrid, SES) patterns Lesson: Local development auth bypass needed: check NODE_ENV for development shortcuts |
| 31 | Email Verification | P1 | π‘ Needs Research | Research: Email templates + verification token management |
| 32 | Session Management | P0 | π‘ Needs Research | Research: JWT vs server sessions + Redis for chat persistence Lesson: Real-time apps need robust session management - WebSocket connections must survive reconnects |
| 33 | Multi-Factor Authentication | P1 | π‘ Needs Research | Guide Needed: TOTP implementation + QR code generation |
| 34 | SSO Integration | P2 | π΄ Requires Prototyping | Complex: SAML/OAuth provider integrations, enterprise requirements |
Guide Reference: Security Architecture Framework
User Profile & Settings
- User Profile Management (P0) - Edit name, email, preferences
- Account Settings Interface (P0) - UI for user configuration
- Avatar Upload (P1) - Profile picture management
- Notification Preferences (P1) - Email and in-app notification settings
- Privacy Settings (P1) - Data sharing and visibility controls
- Account Deletion (P1) - GDPR-compliant account removal
- Data Export (P1) - User data portability
- Usage Statistics (P2) - Personal usage analytics and insights
- Theme Preferences (P2) - Light/dark mode selection
Core Chat Interface (32 Features)
Chat Components
| # | Feature | Priority | Implementation Readiness | Notes & Research Needed |
|---|---|---|---|---|
| 44 | Chat Message Component | P0 | π’ Well Defined | Standard React component, clear from mockups |
| 45 | Message Input Component | P0 | π’ Well Defined | Textarea with auto-resize, submit handlers |
| 46 | Typing Indicator | P0 | π‘ Needs Research | Research: WebSocket typing events + animation patterns Lesson: Component scope validation prevents runtime crashes - verify all props exist |
| 47 | Message Timestamps | P0 | π’ Well Defined | Standard date formatting libraries |
| 48 | Message Actions | P1 | π‘ Needs Research | Research: Context menu patterns + clipboard API |
| 49 | Code Block Rendering | P0 | π’ Well Defined | Prism.js or highlight.js, standard implementation Lesson: CSS framework conflicts can break styling - test thoroughly with actual content |
| 50 | Markdown Rendering | P0 | π’ Well Defined | react-markdown or marked.js |
| 51 | Link Preview | P1 | π‘ Needs Research | Research: Open Graph parsing + preview generation |
| 52 | Message Search | P1 | π‘ Needs Research | Research: Full-text search implementation (client vs server) |
Guide Reference: Component Library Guide
Real-Time Communication
| # | Feature | Priority | Implementation Readiness | Notes & Research Needed |
|---|---|---|---|---|
| 53 | WebSocket Connection | P0 | π΄ Requires Prototyping | Critical: WebSocket + Express integration, connection management Lesson: WebSocket connections need heartbeat/keepalive to prevent browser timeouts |
| 54 | Streaming Response Display | P0 | π΄ Requires Prototyping | Critical: Token-by-token rendering without blocking UI Lesson: Streaming requires proper buffer management and DOM optimization to prevent UI lag |
| 55 | Connection Resilience | P0 | π΄ Requires Prototyping | Complex: Reconnection logic + message state recovery Lesson: Auto-reconnection with exponential backoff prevents server overload during outages |
| 56 | Message Queuing | P1 | π‘ Needs Research | Research: Client-side queue vs server-side persistence Lesson: Client-side queuing essential for offline resilience - queue messages locally first |
| 57 | Presence Indicators | P2 | π‘ Needs Research | Research: WebSocket presence patterns |
| 58 | Connection Status UI | P1 | π’ Well Defined | Standard connection status indicators |
Conversation Management
- New Conversation (P0) - Start fresh chat sessions
- Conversation History (P0) - List and navigate past conversations
- Conversation Titles (P0) - Auto-generated or user-defined titles
- Conversation Persistence (P0) - Save and restore chat sessions
- Conversation Export (P1) - Download chat history as PDF/text
- Conversation Sharing (P2) - Share conversations with team members
- Conversation Templates (P2) - Pre-built conversation starters
- Conversation Analytics (P2) - Usage patterns and insights
File Upload System
- Drag & Drop Upload (P0) - Intuitive file upload interface
- File Type Detection (P0) - Automatic MIME type identification
- File Size Validation (P0) - Enforce upload limits and restrictions
- Progress Indicators (P0) - Visual upload progress feedback
- File Preview (P1) - Quick preview of uploaded files
- Multiple File Selection (P1) - Batch file upload capability
- File Error Handling (P0) - Graceful handling of upload failures
- Supported Format Display (P1) - Show accepted file types to users
- File Processing Queue (P1) - Background processing of large files
AI Model Integration (28 Features)
Model Management
| # | Feature | Priority | Implementation Readiness | Notes & Research Needed |
|---|---|---|---|---|
| 76 | Model Selection Interface | P0 | π’ Well Defined | Clear UI requirements from model-selector mockup |
| 77 | Model Availability Status | P0 | π‘ Needs Research | Research: Real-time model health checking patterns |
| 78 | Model Routing Logic | P0 | π΄ Requires Prototyping | Complex: LLxprt routing + fallback logic + cost optimization Lesson: Real integration beats mocking - test with actual API calls from day 1 |
| 79 | Model Fallback System | P0 | π΄ Requires Prototyping | Complex: Graceful degradation without losing user context |
| 80 | Model Performance Tracking | P1 | π‘ Needs Research | Research: Metrics collection + storage for AI responses |
| 81 | Model Cost Calculation | P1 | π‘ Needs Research | Guide Needed: Token counting + cost calculation by provider Lesson: Cost tracking must be accurate from start - implement real calculation logic, not estimates |
| 82 | Model Configuration | P1 | π’ Well Defined | Standard AI parameter management |
| 83 | Model Comparison | P2 | π‘ Needs Research | Research: Side-by-side UI patterns + response storage |
LLxprt CLI Integration
| # | Feature | Priority | Implementation Readiness | Notes & Research Needed |
|---|---|---|---|---|
| 84 | LLxprt Installation | P0 | π΄ Requires Prototyping | Critical: Docker container + LLxprt CLI setup automation |
| 85 | LLxprt Configuration | P0 | π΄ Requires Prototyping | Critical: Multi-provider API key management |
| 86 | Request Processing | P0 | π΄ Requires Prototyping | Critical: Node.js + LLxprt CLI integration patterns Lesson: API wrapper approach simpler than complex tool embedding for CLI integration |
| 87 | Response Handling | P0 | π΄ Requires Prototyping | Critical: Streaming response parsing from CLI Lesson: Streaming response parsing requires robust error handling and chunk validation |
| 88 | Error Translation | P0 | π‘ Needs Research | Guide Needed: LLxprt error codes + user-friendly messages |
| 89 | Retry Logic | P1 | π‘ Needs Research | Research: Exponential backoff + circuit breaker patterns Lesson: Implement retry with exponential backoff to prevent API rate limit cascades |
| 90 | Usage Tracking | P1 | π’ Well Defined | Standard request logging patterns |
Local LLM Support (Ollama)
- Ollama Installation (P1) - Automated Ollama setup in container
- Model Download Management (P1) - Download and manage local models
- Model Storage (P1) - Efficient storage and caching of model files
- Resource Monitoring (P1) - GPU/CPU usage tracking for local models
- Model Optimization (P2) - Automatic performance tuning
- Model Switching (P1) - Hot-swap between local and cloud models
- Local Model Updates (P2) - Automated model version management
Guide Reference: Local LLM Integration Guide
Response Processing
- Token Streaming (P0) - Real-time token-by-token response display
- Response Caching (P1) - Cache responses for identical queries
- Content Filtering (P1) - Filter inappropriate or harmful content
- Response Formatting (P0) - Apply consistent formatting to AI responses
- Context Management (P0) - Maintain conversation context across messages
- Response Analytics (P2) - Quality scoring and user feedback collection
File System & Knowledge Management (22 Features)
File System Browser
- Directory Navigation (P0) - Browse mounted file systems and directories
- File List Display (P0) - Show files with icons, sizes, and dates
- Mount Point Management (P0) - Configure and manage storage mounts
- Permission Visualization (P1) - Show read/write permissions for files
- File Search (P1) - Search files by name, content, or metadata
- File Filtering (P1) - Filter by type, date, size, or other criteria
- Breadcrumb Navigation (P0) - Clear path navigation interface
- File Operations (P1) - Copy, move, rename, and delete operations
Reference: File System Browser Mockup
Document Processing
- File Type Recognition (P0) - Identify and categorize document types
- Text Extraction (P0) - Extract text from PDFs, Word docs, etc.
- Image Analysis (P1) - Extract text and analyze images
- Metadata Extraction (P1) - Extract document properties and metadata
- Content Indexing (P1) - Build searchable index of document content
- Document Preview (P1) - Quick preview without downloading
- Batch Processing (P2) - Process multiple documents simultaneously
Guide Intelligence System
- Guide Library Management (P1) - Store and organize methodology guides
- Context Detection (P1) - Auto-select relevant guides based on queries
- Guide Application (P1) - Apply guide logic to user requests
- Guide Analytics (P2) - Track guide usage and effectiveness
- Guide Versioning (P2) - Manage guide updates and changes
- Custom Guide Creation (P2) - Allow users to create custom guides
- Guide Sharing (P3) - Share guides across organizations
Administrative Interfaces (30 Features)
Executive Dashboard
- Key Metrics Display (P0) - Active users, sessions, costs overview
- Usage Trends (P1) - Graphical representation of usage patterns
- Cost Analytics (P1) - AI spending breakdown by model and user
- Performance Metrics (P1) - Response times and system health
- User Activity Summary (P1) - Top users and usage patterns
- System Health Status (P0) - Overall system status indicators
- Real-time Updates (P1) - Live dashboard updates via WebSocket
Reference: Executive Dashboard Mockup
Activity Logging & Audit
- Activity Log Interface (P0) - Comprehensive audit trail display
- Event Filtering (P0) - Filter by user, action, date, or type
- Log Search (P1) - Search audit logs by content or metadata
- Log Export (P1) - Export logs for compliance or analysis
- Real-time Log Updates (P1) - Live log streaming interface
- Log Retention Management (P1) - Automated log archival and cleanup
- Security Event Highlighting (P1) - Emphasize security-relevant events
Reference: Activity Log Mockup
User Management
- User List Interface (P1) - Browse and manage all users
- User Details View (P1) - Detailed user information and stats
- User Role Management (P1) - Assign and modify user roles
- User Status Control (P1) - Enable, disable, or suspend users
- Bulk User Operations (P2) - Batch operations on multiple users
- User Impersonation (P2) - Admin ability to view as user (with audit)
- User Communication (P2) - Send messages or notifications to users
System Administration
- System Configuration (P1) - Modify system settings and parameters
- Resource Monitoring (P1) - CPU, memory, disk, and network usage
- Container Management (P1) - Start, stop, restart system services
- Database Administration (P2) - Basic database management tools
- Backup Management (P1) - Schedule and monitor backup operations
- Log Management (P1) - Configure logging levels and destinations
- Alert Configuration (P2) - Set up system alerts and notifications
- Maintenance Mode (P2) - Graceful system maintenance capabilities
- Health Check Dashboard (P1) - Monitor all system health checks
Reference: Docker Admin Dashboard Mockup
Publishing & Export System (15 Features)
Web Publishing
- One-Click Publishing (P0) - Convert conversations to websites
- Theme Selection (P1) - Choose from multiple website themes
- Custom Domain Support (P2) - Deploy to user-owned domains
- Access Control (P1) - Password protection and user restrictions
- SEO Optimization (P1) - Meta tags, sitemaps, and search optimization
- Analytics Integration (P2) - Google Analytics and similar tools
- Social Media Integration (P2) - Open Graph tags and social sharing
Export Capabilities
- PDF Export (P1) - Convert conversations to formatted PDFs
- Markdown Export (P1) - Export as structured markdown files
- HTML Export (P1) - Generate standalone HTML files
- Data Export (P1) - JSON export for data portability
- Bulk Export (P2) - Export multiple conversations simultaneously
- Custom Formatting (P2) - User-defined export templates
- Share Link Generation (P1) - Create shareable links to conversations
- Embed Code Generation (P2) - Generate embeddable widgets
Security & Compliance (25 Features)
Input Security
- Input Validation (P0) - Comprehensive request validation
- XSS Prevention (P0) - Cross-site scripting protection
- CSRF Protection (P0) - Cross-site request forgery mitigation
- SQL Injection Prevention (P0) - Parameterized queries and ORM protection
- File Upload Security (P0) - Malicious file detection and sandboxing
- Content Security Policy (P1) - Browser-level security headers
- Rate Limiting (P1) - Prevent API abuse and DoS attacks
Data Protection
- Data Encryption at Rest (P1) - Database and file encryption
- Data Encryption in Transit (P0) - TLS/SSL for all communications
- PII Detection (P1) - Automatic personally identifiable information detection
- Data Anonymization (P2) - Remove or mask sensitive information
- Data Retention Policies (P1) - Automated data lifecycle management
- Right to be Forgotten (P1) - GDPR-compliant data deletion
- Data Portability (P1) - User data export in standard formats
Guide Reference: PII Scanning and Removal Guide
Audit & Compliance
- Comprehensive Audit Logging (P0) - Log all user and system actions
- Audit Trail Integrity (P1) - Tamper-proof audit log storage
- Compliance Reporting (P1) - Generate compliance reports (GDPR, SOX, etc.)
- Access Logging (P0) - Detailed access attempt logging
- Security Scanning (P2) - Automated vulnerability assessment
- Penetration Testing Support (P2) - Tools and logs for security testing
- Incident Response (P2) - Automated security incident handling
- Privacy Impact Assessment (P2) - Tools for privacy compliance
- Data Processing Records (P1) - GDPR Article 30 compliance
- Breach Notification (P2) - Automated breach detection and notification
- Third-party Auditing (P2) - Support for external security audits
Guide Reference: Security Architecture Framework
User Experience & Interface (20 Features)
Onboarding System
- Welcome Screen (P0) - Branded introduction to Sasha Studio
- Interactive Tour (P0) - Step-by-step feature introduction
- Setup Wizard (P0) - Guide users through initial configuration
- Progress Tracking (P1) - Show onboarding completion status
- Skip Options (P1) - Allow experienced users to skip steps
- Contextual Help (P1) - In-app help and guidance system
Reference: Onboarding Tour Mockup
Design System Implementation
- Component Library (P0) - Reusable UI components with consistent styling
Lesson: Design-first development mandatory - create design system before building features - Design Tokens (P0) - Centralized color, typography, and spacing system
Lesson: Design quality equals product quality - users judge within seconds - Dark Mode Support (P1) - Complete dark theme implementation
- Responsive Design (P0) - Mobile-first responsive layouts
Lesson: CSS framework conflicts can break layouts - test with real content, not lorem ipsum - Accessibility Features (P1) - WCAG AAA compliance implementation
Lesson: WCAG AA compliance required from start - accessibility fixes are expensive to retrofit - Animation System (P1) - Consistent micro-interactions and transitions
- Loading States (P0) - Skeleton screens and loading indicators
- Empty States (P1) - Helpful messaging when content is unavailable
- Error States (P0) - User-friendly error messages and recovery options
Lesson: Visual fixes must be verified by actual users - developer testing misses 60% of issues
Guide Reference: Accessibility Implementation Guide
Mobile & Progressive Web App
- Mobile Optimization (P1) - Touch-friendly interface for mobile devices
- PWA Capabilities (P2) - Offline functionality and app-like experience
- Push Notifications (P2) - Background notifications for important events
- Offline Mode (P2) - Limited functionality when disconnected
- App Installation (P2) - Add to home screen functionality
Analytics & Monitoring (18 Features)
Performance Monitoring
- Response Time Tracking (P1) - Monitor API and AI response times
- Error Rate Monitoring (P1) - Track and alert on error rates
- Uptime Monitoring (P1) - System availability tracking
- Resource Usage Monitoring (P1) - CPU, memory, and disk monitoring
- Database Performance (P1) - Query performance and optimization insights
- User Experience Metrics (P2) - Core Web Vitals and UX measurements
Business Analytics
- User Engagement Tracking (P1) - Session duration, page views, actions
- Feature Usage Analytics (P1) - Which features are used most
- Conversion Funnel Analysis (P2) - Track user journey through key actions
- Cohort Analysis (P2) - User retention and behavior patterns
- A/B Testing Framework (P3) - Test different features and interfaces
- Custom Event Tracking (P2) - Track business-specific metrics
AI-Specific Analytics
- Model Performance Metrics (P1) - Track accuracy, speed, and cost per model
- Query Analysis (P1) - Understand user intent and query patterns
- Response Quality Tracking (P2) - User feedback on AI responses
- Cost Analytics (P1) - Detailed AI API cost breakdown and forecasting
- Usage Pattern Analysis (P2) - Identify trends in AI usage
- Model Comparison Analytics (P2) - Compare performance across different models
Development & Testing Features (15 Features)
Development Tools
- API Testing Interface (P2) - Built-in API testing and documentation
- Database Migration Tools (P1) - Manage schema changes safely
- Configuration Management (P1) - Environment-specific configurations
- Development Mode (P1) - Enhanced logging and debugging features
- Hot Reload Support (P2) - Live code updates during development
Testing Framework
- Unit Testing Suite (P1) - Comprehensive unit test coverage
- Integration Testing (P1) - Test API endpoints and database interactions
- End-to-End Testing (P2) - Automated UI testing with real user scenarios
- Load Testing (P2) - Performance testing under various loads
- Security Testing (P2) - Automated security vulnerability scanning
- AI Response Testing (P2) - Validate AI model responses and quality
Guide Reference: Testing Framework Guide
Quality Assurance
- Code Quality Metrics (P2) - Automated code quality assessment
- Performance Profiling (P2) - Identify performance bottlenecks
- Memory Leak Detection (P2) - Monitor and prevent memory issues
- Health Check Validation (P1) - Ensure all health checks work correctly
Implementation Roadmap
Phase 1: Foundation (Features 1-50)
Duration: 4-6 weeks
Goal: Basic working system with chat interface
Key Deliverables: Docker container, basic auth, simple chat, file upload
Phase 2: Core Features (Features 51-120)
Duration: 6-8 weeks
Goal: Feature-complete MVP
Key Deliverables: Full UI, model integration, basic admin, security
Phase 3: Enterprise Features (Features 121-180)
Duration: 8-10 weeks
Goal: Production-ready enterprise system
Key Deliverables: Advanced admin, compliance, monitoring, publishing
Phase 4: Advanced Features (Features 181-248)
Duration: 6-8 weeks
Goal: Competitive differentiation
Key Deliverables: Analytics, AI optimization, advanced UX
Prototype Recommendations
High-Priority Prototypes (Create Guides First)
- WebSocket Streaming Implementation - Critical for chat experience
- LLxprt CLI Integration - Core AI functionality
- File Upload with Processing - Knowledge management foundation
- JWT Authentication Flow - Security foundation
- Docker Multi-Service Setup - Infrastructure foundation
Medium-Priority Prototypes
- Model Selection Interface - User experience validation
- Real-time Dashboard Updates - Technical feasibility
- One-Click Publishing - Unique value proposition
- Ollama Local LLM Integration - Enterprise differentiator
- Component Library System - Development efficiency
Low-Priority Prototypes
- Advanced Analytics Dashboard - Business intelligence
- PWA Implementation - Mobile experience
- A/B Testing Framework - Optimization capability
Guide Creation Schedule
Based on prototype results, create implementation guides for:
- WebSocket Chat Implementation Guide - Real-time communication patterns
- AI Model Integration Guide - LLxprt and Ollama integration patterns
- Enterprise Authentication Guide - Security and compliance patterns
- File Processing Pipeline Guide - Document handling workflows
- Dashboard Development Guide - Admin interface patterns
- Publishing System Guide - Content export and sharing patterns
- Testing Strategy Guide - AI-specific testing approaches
- Performance Optimization Guide - Scalability and efficiency patterns
Implementation Readiness Summary
Feature Readiness Breakdown (First 90 Critical Features)
| Status | Count | Percentage | Priority Actions |
|---|---|---|---|
| π’ Well Defined | 32 | 36% | Ready for immediate development |
| π‘ Needs Research | 35 | 39% | Research required before implementation |
| π΄ Requires Prototyping | 23 | 25% | Must prototype first to validate approach |
π΄ Critical Prototyping Priorities (Must Do First)
These features are fundamental to the product and have complex integration requirements:
Tier 1: Core Infrastructure (Immediate)
- WebSocket Real-Time Streaming (#17, #53-55) - Core chat functionality
- LLxprt CLI Integration (#84-87) - Essential AI model integration
- File Storage System (#13) - Docker volume mounts + permissions
- Model Routing Logic (#78-79) - Intelligent model selection and fallback
Tier 2: Advanced Integration (Week 2-3)
- Local LLM Integration (#91-96) - Ollama setup and management
- File Processing Pipeline (#67-75) - Upload, validation, and processing
- Connection Resilience (#55) - WebSocket reconnection and state recovery
π‘ High-Priority Research Areas
Security & Authentication
- Session Management Strategy (#32) - JWT vs server sessions for real-time apps
- Container Security Hardening (#7) - Docker security best practices
- Multi-Factor Authentication (#33) - TOTP implementation patterns
Performance & Monitoring
- Performance Monitoring (#23) - APM integration vs custom metrics
- Docker Signal Handling (#24) - Graceful shutdown with active WebSocket connections
- Cost Analytics (#81) - Token counting and cost calculation by provider
User Experience
- Link Preview Generation (#51) - Open Graph parsing and preview rendering
- Message Search Implementation (#52) - Client vs server-side search patterns
- Context Menu Patterns (#48) - Modern right-click interaction patterns
Guides to Create Before Implementation
Based on research and prototyping results, these guides should be created:
High Priority Guides
- WebSocket Real-Time Streaming Guide - Complete patterns for chat streaming
- LLxprt Integration Guide - Container setup, configuration, and usage patterns
- Docker File Storage Guide - Secure mount points and permission management
- Model Routing & Fallback Guide - Intelligent AI model selection strategies
- Database Schema Design Guide - Tables for users, conversations, files, audit trails
Medium Priority Guides
- Container Security Hardening Guide - Production-ready Docker security
- AI Cost Calculation Guide - Token counting and cost optimization
- Performance Monitoring Guide - Metrics collection for AI applications
- Session Management Guide - Authentication patterns for real-time apps
- File Processing Pipeline Guide - Upload validation and processing workflows
Recommended Implementation Order
Week 1-2: Core Prototyping
- Prototype WebSocket streaming communication
- Test LLxprt CLI integration in Docker container
- Validate file storage mounting and permissions
- Create basic model routing logic
Week 3-4: Integration Testing
- Integrate WebSocket + LLxprt for streaming responses
- Test file upload and processing pipeline
- Implement connection resilience patterns
- Validate cost calculation accuracy
Week 5-6: Foundation Building
- Build on proven prototypes
- Implement well-defined features (#1-43)
- Create implementation guides from successful patterns
- Set up development and testing frameworks
Success Criteria for Prototypes
Each prototype should validate:
- Technical Feasibility - Can we implement this reliably?
- Performance Impact - Does it meet response time requirements?
- Security Implications - Are there security concerns to address?
- User Experience - Does it provide smooth, intuitive interaction?
- Scalability Potential - Will it work under load?
Key Implementation Insights
- Real-time communication is the most complex aspect - Nearly all π΄ features relate to WebSocket streaming
- AI integration has many unknowns - LLxprt patterns need validation through prototyping
- File system management is surprisingly complex - Docker permissions and multi-source mounting
- Security requires upfront research - Can't retrofit security, must be built-in from start
Critical Technical Lessons Integrated
This feature list now incorporates 80+ proven technical lessons from NudgeCampaign builds v1-v4, covering:
Foundation Patterns
- Docker Volume Mounting: Avoid node_modules conflicts with proper .dockerignore and volume strategies
- Environment Configuration: Explicit mounting required for .env files:
- ./.env:/app/.env - Container Health Checks: Verify all dependent services have accessible health endpoints
- Resource Management: Monitor disk usage - Docker can consume 13GB+ without cleanup
ποΈ Database & API Patterns
- PostgreSQL Arrays: Use
array_agg(DISTINCT element)syntax for JSON arrays - Migration Timing: Run database migrations before dependent services start
- Real vs Mock: Direct database connections work fine for MVP - avoid premature complexity
- Validation Consistency: API validation must match database constraints exactly
Real-Time Communication Patterns
- WebSocket Resilience: Auto-reconnection with exponential backoff prevents server overload
- Streaming Buffers: Proper buffer management and DOM optimization prevents UI lag
- Component Scope: Validate all props exist to prevent runtime crashes
- Connection Management: Heartbeat/keepalive required to prevent browser timeouts
Authentication & Security Patterns
- API Key Management: Store securely and rotate regularly - critical for AI integrations
- Session Persistence: Real-time apps need robust session management across reconnects
- Development Auth: Local development auth bypass needed: check NODE_ENV
AI Integration Patterns
- Real Integration: Test with actual API calls from day 1 - mocking misses critical issues
- Cost Tracking: Implement real calculation logic, not estimates - accuracy essential
- Retry Logic: Exponential backoff prevents API rate limit cascades
- CLI Integration: API wrapper approach simpler than complex tool embedding
Design System Patterns
- Design-First Development: Create design system before building features - mandatory
- Quality Perception: Design quality equals product quality - users judge within seconds
- CSS Conflicts: Test with real content, not lorem ipsum - framework conflicts break layouts
- Accessibility: WCAG AA compliance required from start - retrofit is expensive
- User Validation: Visual fixes must be verified by actual users - dev testing misses 60%
Universal Success Formula
- Database First β Real data storage with traceable records
- Real APIs β Actual functionality, not mocked responses
- Real Integrations β External services working in development
- Real Testing β User verification, not just code execution
- Working > Perfect β Functional features beat theoretical perfection
These lessons represent systematic autonomous development improvement across 4 major build iterations, transforming from "built wrong product entirely" (v1) to "real working features with traceable database records" (v4).
5. UI components are well-understood - Most interface features are π’ ready to implement
This comprehensive feature analysis provides a clear roadmap for building Sasha Studio systematically. Focus on π΄ prototyping first, then π‘ research, and finally implement π’ well-defined features with confidence.