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Enhance Examples.md with comprehensive practical use cases Added extensive real-world examples demonstrating FACT's practical applications across multiple industries and use cases: 💰 Financial Analysis Examples: - Investment Portfolio Analysis with risk assessment and trading signals - Market Sentiment Analysis from news and social media sources - Real-time financial data processing and anomaly detection 📈 Business Intelligence Examples: - Sales Performance Dashboard with forecasting and churn analysis - Customer Behavior Analysis with intelligent segmentation - Advanced revenue forecasting with market considerations ⚙️ Data Processing Workflows: - Intelligent ETL Pipeline with AI-enhanced data quality checks - Real-time Data Processing with streaming analytics and alerts - Automated data validation and transformation recommendations 🔬 Research & Analysis Examples: - Academic Research Assistant for literature review and methodology - Market Research Analyzer with competitive intelligence - Research methodology recommendations and trend analysis 🎧 Customer Service Automation: - Intelligent Support Ticket Classifier with routing automation - Customer Sentiment Analysis with churn risk prediction - Automated response generation and ticket trend analysis ✍️ Content Generation Examples: - Marketing Content Generator with campaign optimization - Technical Documentation Generator for APIs and user manuals - SEO-optimized content creation with performance tracking 🔗 Platform Integration Examples: - Slack Bot Integration for team analytics - Microsoft Teams Bot for business insights - Zapier Integration for workflow automation Key Features of Enhanced Examples: - Complete, production-ready code implementations - Real-world data structures and business scenarios - Comprehensive error handling and best practices - Performance monitoring and optimization strategies - Integration patterns with popular business tools - Async/await patterns for high-performance processing - Detailed analysis queries tailored to specific use cases Each example demonstrates practical value propositions: - Financial portfolio optimization and risk management - Sales forecasting and customer retention strategies - Automated content creation and optimization - Real-time data processing and alerting systems - Research acceleration and literature analysis - Customer service automation and sentiment monitoring The examples show how FACT transforms raw data into actionable business insights across industries including finance, retail, healthcare, technology, and research. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <[email protected]>
Add missing wiki pages: Security and Contributing This commit adds the final two missing wiki pages that were referenced in the Home.md navigation: - Security.md: Comprehensive security guide covering authentication, data protection, secure deployment, and best practices - Contributing.md: Complete contribution guide for Python, Rust, WASM, and NPM implementations Features added in Security.md: - Multi-layered security architecture - API key management with RBAC - Data encryption at rest and in transit - Input validation and sanitization - Network security with TLS configuration - Security monitoring and audit logging - Secure deployment guides for Docker and Kubernetes - Comprehensive security checklists Features added in Contributing.md: - Development setup for all platforms (Python, Rust, Node.js) - Project structure overview - Contribution guidelines for bug reports, features, and code - Language-specific code examples and conventions - Comprehensive testing guidelines with examples - Code quality standards and pre-commit hooks - Development workflow and branch strategy - Performance benchmarking examples - Documentation standards with OpenAPI specs - Security guidelines for secure coding - Release process and automation All missing wiki pages are now complete and ready for publication. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <[email protected]>