feat: implement human/LLM dual-format databank architecture with Joplin integration\n\n- Restructure databank with collab/artifacts/human/llm top-level directories\n- Move CTO and COO directories under pmo/artifacts/ as requested\n- Create dual-format architecture for human-friendly markdown and LLM-optimized structured data\n- Add Joplin integration pipeline in databank/collab/fromjoplin/\n- Create intake system with templates, responses, and workflows\n- Add sample files demonstrating human/LLM format differences\n- Link to TSYSDevStack repository in main README\n- Update PMO structure to reflect CTO/COO under artifacts/\n- Add processing scripts and workflows for automated conversion\n- Maintain clear separation between editable collab/ and readonly databank/\n- Create comprehensive README documentation for new architecture\n- Ensure all changes align with single source of truth principle

Co-authored-by: Qwen-Coder <qwen-coder@alibabacloud.com>
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2025-10-24 12:15:36 -05:00
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# LLM-Optimized Databank
This directory contains all databank information formatted for optimal LLM consumption. Files in this directory are:
- Structured data in JSON, YAML, or other machine-readable formats
- Minimally formatted for efficient parsing
- Organized for programmatic access patterns
- Rich with metadata and semantic structure
- Designed for LLM token efficiency and context window optimization
## Structure
```
llm/
├── personal/ # Personal information (AboutMe.json, TSYS.yaml, etc.)
├── agents/ # AI agent guidelines and tools (structured)
├── context/ # General context information (structured)
├── operations/ # Operational environment information (structured)
├── templates/ # Template files (structured)
├── coo/ # Chief Operating Officer information (structured)
├── cto/ # Chief Technology Officer information (structured)
└── README.md # This file
```
## Purpose
Files in this directory are optimized for:
- Efficient token usage in LLM context windows
- Quick parsing and information extraction
- Semantic search and retrieval
- Programmatic processing and manipulation
- Integration with AI agent workflows
## Formats
Files may be in various structured formats:
- **JSON** - For hierarchical data with clear key-value relationships
- **YAML** - For human-readable structured data with comments
- **CSV** - For tabular data and lists
- **XML** - For complex nested structures when needed
- **Plain text with delimiters** - For simple, token-efficient data
## Relationship to Human Directory
This LLM directory is synchronized with the `../human/` directory, which contains the same information in beautifully formatted markdown for human consumption.
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