## 🤖 AI Architecture Decisions
- ADR-020: AI recommendation and policy optimization strategies
- ADR-021: Intelligent agents (AI Agent) and service self-governance strategies
- ADR-022: AI engine updates and core specification strategies
- ADR-023: Modular management and user privacy management strategies
- ADR-024: AI module evaluation, health checks and solution compatibility strategies
- ADR-025: Federated learning and privacy protection algorithms strategies
- ADR-026: Database and multimodal content integration strategies
- ADR-027: AI knowledge base construction and RAG intelligent retrieval strategies
## 👥 Multi-Agent & System Integration
- ADR-028: Enterprise-level AI Agent orchestration and service orchestration strategies
- ADR-029: AI decision-making and human-computer interaction monitoring strategies
- ADR-030: Intelligent quality control and AI product testing strategies
- ADR-031: AI engine concurrency and interaction strategies
- ADR-032: Data lifecycle management and distributed governance strategies
## 📁 Enhanced Documentation
- Added ADR templates directory for standardized decision documentation
- Updated existing ADR-001 and ADR-002 with latest architectural decisions
This batch establishes comprehensive AI-powered architecture decisions covering
multi-agent systems, intelligent recommendations, privacy protection, and quality
assurance frameworks for the digital government platform.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <[email protected]>
Claude AIandClaude
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