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Add CLAUDE.md - Comprehensive development guide for AI assistants
Content:
- Project overview and MVP status
- Architecture and performance metrics
- Critical implementation details (batched embeddings, model paths)
- Multi-account credential management
- Common commands and code patterns
- Performance optimization opportunities
- Known issues and troubleshooting
- Dependencies and git workflow
- Recent changes and roadmap
Key Sections:
- Batched feature extraction (CRITICAL - 150x performance)
- LLM-driven calibration (dynamic categories)
- Threshold optimization (0.55 default)
- Email provider credentials (3 accounts each)
- Project structure reference
- Important notes for AI assistants
This document provides essential context for continuing development
and ensures proper understanding of critical performance patterns.
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2025-10-25 16:56:59 +11:00 |
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