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Author SHA1 Message Date
rob 33b550ad5b docs: complete update for AI normalization architecture
Updated all documentation to reflect the new two-tier extraction system:

**workflow-marker-extraction.puml:**
- Completely rewritten to show AI normalization flow
- Documents agents.normalize_discussion() as primary method
- Shows simple line-start fallback for explicit markers
- Includes natural conversation examples vs. explicit markers
- Demonstrates resilience and cost-effectiveness

**AUTOMATION.md:**
- Restructured "Conversation Guidelines" section
- Emphasizes natural conversation as recommended approach
- Clarifies AI normalization extracts from conversational text
- Documents explicit markers as fallback when AI unavailable
- Explains two-tier architecture benefits

**diagrams-README.md:**
- Already updated in previous commit

All documentation now accurately reflects:
 AI-powered extraction (agents.py) for natural conversation
 Simple fallback parsing (workflow.py) for explicit markers
 Multi-provider resilience (claude → codex → gemini)
 No strict formatting requirements for participants

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-02 20:04:09 -04:00