Add AI capabilities changelog

Co-authored-by: hotlong <50353452+hotlong@users.noreply.github.com>

Author: Copilot

docs/AI_CHANGELOG.md

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+# AI Capabilities - Change Log
+
+All notable changes to ObjectQL's AI capabilities documentation and implementation will be documented in this file.
+
+The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
+and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
+
+## [Unreleased]
+
+### Planned
+- AI SDK package (`@objectql/ai`)
+- Natural language query API endpoint
+- Schema generator CLI tool
+- AI playground web application
+- VS Code extension for AI-assisted development
+- AI-powered templates (CRM, Project Management, etc.)
+
+## [1.0.0] - 2026-01-09
+
+### Added - Documentation & Planning
+
+#### Core Documentation
+- **AI Integration Guide** (`docs/guide/ai-integration.md`)
+  - Comprehensive guide explaining ObjectQL's AI-native design
+  - Use cases: natural language queries, schema generation, analytics, automation
+  - Integration patterns with code examples
+  - LLM prompt templates for OpenAI, Claude
+  - Best practices and performance optimization
+  - Complete example: Building a natural language interface
+  - 585 lines of detailed documentation
+
+- **AI Safety Guidelines** (`docs/guide/ai-safety.md`)
+  - Core safety principles (never trust AI output, defense in depth, least privilege)
+  - Query validation (structural, semantic, complexity)
+  - Permission checking (object-level, field-level, filter permissions)
+  - Rate limiting patterns (per-user, token-based)
+  - Code sandboxing for AI-generated code
+  - Data sanitization and leakage prevention
+  - Audit logging and anomaly detection
+  - Security checklist for deployment
+  - 801 lines of security best practices
+
+- **AI Quick Start Guide** (`docs/guide/ai-quick-start.md`)
+  - 5-minute setup guide
+  - Common integration patterns
+  - Security checklist
+  - Troubleshooting tips
+  - 208 lines of getting started content
+
+#### Planning & Roadmap
+- **AI Capabilities Roadmap** (`docs/AI_CAPABILITIES_ROADMAP.md`)
+  - Vision and goals for AI integration
+  - 6-phase implementation plan (16-22 weeks)
+    - Phase 1: Foundation & Documentation (2-3 weeks)
+    - Phase 2: AI SDK Development (3-4 weeks)
+    - Phase 3: Advanced AI Features (4-5 weeks)
+    - Phase 4: AI Monitoring & Governance (2-3 weeks)
+    - Phase 5: AI Developer Tools (3-4 weeks)
+    - Phase 6: AI Templates & Marketplace (2-3 weeks)
+  - Success metrics and KPIs
+  - Resource requirements and team structure
+  - Technology stack and dependencies
+  - Risk mitigation strategies
+  - 684 lines of strategic planning
+
+- **GitHub Issue Templates** (`docs/AI_GITHUB_ISSUES.md`)
+  - 20+ detailed issue templates covering all phases
+  - Each template includes:
+    - Detailed task breakdown
+    - Acceptance criteria
+    - Effort estimates
+    - Labels and phase assignment
+  - Templates for:
+    - AI SDK components
+    - Security features
+    - Developer tools
+    - Templates and examples
+  - 797 lines of actionable tasks
+
+#### Organizational Documents
+- **AI Documentation Index** (`docs/AI_INDEX.md`)
+  - Central hub for all AI documentation
+  - Quick links by audience (users, developers, PMs)
+  - Learning paths (beginner, intermediate, advanced)
+  - Technology stack overview
+  - Success metrics dashboard
+  - 277 lines of navigation and overview
+
+- **AI Planning Summary (Chinese)** (`docs/AI_PLANNING_SUMMARY_CN.md`)
+  - Complete summary in Chinese
+  - Key features and timeline
+  - Security highlights
+  - Next steps
+  - 264 lines for Chinese-speaking stakeholders
+
+#### Main Project Updates
+- **README.md**
+  - Added AI Capabilities section
+  - Updated roadmap to include Phase 5: AI Integration
+  - Links to detailed AI documentation
+  - Highlights AI-native protocol design
+
+### Documentation Statistics
+- **Total Lines**: 3,700+ lines of documentation
+- **Total Files**: 8 files created/updated
+- **Languages**: English + Chinese
+- **Coverage**: Planning, implementation, security, examples, tutorials
+
+### Key Features Documented
+1. **Natural Language to Query**
+   - Convert plain English to ObjectQL queries
+   - LLM integration patterns (OpenAI, Claude, Ollama)
+   - Validation and safety layers
+
+2. **AI Schema Generation**
+   - Generate object definitions from descriptions
+   - Automatic field type inference
+   - Relationship detection
+
+3. **AI-Powered Analytics**
+   - Automated insights and trend detection
+   - Report generation
+   - Visualization suggestions
+
+4. **Safe AI Operations**
+   - Multi-layer validation
+   - Permission enforcement
+   - Rate limiting
+   - Audit logging
+   - Sandboxing
+
+5. **Developer Tools**
+   - AI playground (planned)
+   - VS Code extension (planned)
+   - CLI enhancements (planned)
+
+### Security Features Documented
+- Query validation (structural, semantic, complexity)
+- Permission checking at all levels
+- Rate limiting strategies
+- Code sandboxing with VM2
+- Data sanitization with DOMPurify
+- Audit trail system
+- Anomaly detection
+- Cost controls
+
+### Implementation Guidance
+- 6 development phases clearly defined
+- 20+ GitHub issue templates ready to use
+- Resource requirements specified
+- Timeline estimates provided
+- Risk mitigation strategies included
+
+### Community & Contribution
+- Contributing guidelines for AI features
+- Community engagement plans
+- Partnership opportunities (OpenAI, Anthropic, Ollama)
+- Open source contribution pathways
+
+## Future Releases
+
+### [1.1.0] - Planned Q2 2026
+- AI SDK package release
+- Basic natural language query support
+- Query validation library
+- First example projects
+
+### [1.2.0] - Planned Q2 2026
+- Schema analyzer and generator
+- OpenAI and Claude integrations
+- Safety layer implementation
+
+### [2.0.0] - Planned Q3 2026
+- Full AI platform release
+- All 6 phases completed
+- Production-ready AI features
+- Template marketplace
+
+## Notes
+
+### Documentation Philosophy
+All documentation follows these principles:
+- **Comprehensive**: Cover all aspects from basics to advanced
+- **Practical**: Include working code examples
+- **Secure**: Security is a first-class concern
+- **Accessible**: Multiple formats and languages
+
+### Versioning Strategy
+- **Documentation versions** track major feature additions
+- **API versions** (when implemented) follow semantic versioning
+- **Template versions** maintain backward compatibility
+
+### Contributing
+Contributions to documentation are welcome! See:
+- [Contributing Guide](../CONTRIBUTING.md)
+- [AI Documentation Index](./AI_INDEX.md)
+
+---
+
+**Maintained By**: ObjectQL AI Team  
+**Last Updated**: 2026-01-09  
+**License**: MIT