Technical Architecture

Microservices Architecture

Tweeter-Craft is built on a modern microservices architecture where each core feature runs as an isolated, scalable service:

• Data Collection Service: Handles Twitter API integration and data gathering
• ScrapeGraphAI Service: AI-powered web scraping and data extraction
• Composio Integration Service: Multi-platform tool integration and orchestration
• AI Analysis Service: Manages style analysis and content generation
• Scheduling Service: Handles content scheduling and auto-posting
• Moderation Service: AI-powered content review and approval
• Analytics Service: Performance tracking and insights generation
• User Management Service: Authentication and account management

Real-Time Data Pipeline

• WebSocket Integration: Real-time updates for live dashboard metrics
• REST API Architecture: Standardized API endpoints for all services
• Redis Caching: High-speed caching for frequently accessed data
• Message Queue System: Asynchronous processing for heavy operations
• Stream Processing: Real-time data processing for analytics

AI/ML Infrastructure

• Nebius AI Studio: Full-stack GenAI platform for model deployment and management
• GPT-4 Integration: Advanced language models for content generation
• Custom AI Models: Specialized models for style analysis and moderation
• Multi-Modal AI: Text, image, and video processing capabilities
• Continuous Learning: Models that improve with user feedback
• A/B Testing Framework: Automated testing of different AI approaches
• Model Versioning: Safe deployment and rollback of AI updates
• Cost Optimization: Intelligent resource management and cost control

Database Architecture

• Primary Database: PostgreSQL for structured data and relationships
• GibsonAI Platform: Intelligent data platform with AI-powered memory systems
• Vector Database: Storage for AI embeddings and style profiles
• Time-Series Database: Optimized for analytics and performance metrics
• Caching Layer: Redis for high-speed data access
• Data Warehousing: Historical data storage for long-term analytics
• Memory Systems: Advanced AI memory management and context retrieval

API Layer

• RESTful Endpoints: Well-documented API with TypeScript interfaces
• GraphQL Support: Flexible data querying for complex operations
• Rate Limiting: Intelligent rate limiting to respect Twitter API limits
• Authentication: JWT-based authentication with OAuth integration
• API Versioning: Backward-compatible API evolution

Security Framework

• End-to-End Encryption: AES-256 encryption for all data transmission
• OAuth 2.0: Secure Twitter account integration
• Role-Based Access: Granular permissions for different user types
• Data Privacy: GDPR-compliant data handling and user consent
• Audit Logging: Comprehensive logging for security monitoring
• Content Safety: AI-powered content filtering and moderation

Scalability & Performance

• Horizontal Scaling: Auto-scaling based on demand
• Load Balancing: Intelligent traffic distribution
• CDN Integration: Global content delivery for fast access
• Database Optimization: Query optimization and indexing
• Caching Strategy: Multi-layer caching for optimal performance

Monitoring & Observability

• Real-Time Monitoring: Live system health and performance metrics
• Error Tracking: Comprehensive error logging and alerting
• Performance Analytics: Detailed performance insights
• User Analytics: Usage patterns and feature adoption
• Cost Monitoring: Resource usage and cost optimization
• Automated Alerts: Proactive issue detection and notification