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Updated workflow-marker-extraction diagram description to emphasize: - AI-powered normalization for natural conversation (agents.py) - Simple line-start fallback for explicit markers (workflow.py) - Two-tier extraction system design Benefits of this approach: - Participants write naturally without strict formatting rules - Fast AI model handles conversation → structured data conversion - Simple fallback code when AI unavailable - Clear separation of concerns 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> |
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| .. | ||
| AUTOMATION.md | ||
| DESIGN.md | ||
| INSTALL.md | ||
| PROGRESS.md | ||
| ai-provider-fallback.puml | ||
| architecture-overview.puml | ||
| cascading-rules.puml | ||
| commit-workflow.puml | ||
| diagrams-README.md | ||
| directory-structure.puml | ||
| discussion-stages.puml | ||
| file-lifecycle.puml | ||
| patcher-pipeline.puml | ||
| voting-system.puml | ||
| workflow-marker-extraction.puml | ||