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>

databank/llm/README.md

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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.
+
+---

databank/llm/personal/AboutMe.json

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+{
+  "metadata": {
+    "title": "About Me",
+    "author": "Charles N Wyble",
+    "created": "2025-10-16T00:00:00Z",
+    "updated": "2025-10-24T11:45:00Z",
+    "tags": ["personal", "biography", "professional"],
+    "version": "1.0.1"
+  },
+  "identity": {
+    "full_name": "Charles N Wyble",
+    "online_handle": "@ReachableCEO",
+    "age": 41,
+    "location": {
+      "current": "Central Texas, USA",
+      "relocating_to": "Raleigh, NC",
+      "relocation_date": "April 2026"
+    }
+  },
+  "professional": {
+    "background": "Production technical operations since 2002",
+    "affiliation": "Solo entrepreneur creating TSYS Group",
+    "political_affiliation": "Democrat",
+    "values": [
+      "digital_data_sovereignty",
+      "rule_of_law",
+      "separation_of_powers"
+    ]
+  },
+  "technology": {
+    "ai_tools": [
+      {"name": "Codex", "role": "primary_daily_driver", "type": "subscription"},
+      {"name": "Qwen", "role": "heavy_system_orchestration", "type": "primary"},
+      {"name": "Gemini", "role": "audits_and_analysis", "type": "primary"}
+    ],
+    "practices": [
+      "self_hosting",
+      "cloudron_vps",
+      "coolify_planned"
+    ]
+  },
+  "philosophy": {
+    "engagement_style": "relaxed_but_professional",
+    "flattery_preference": "no_flattery",
+    "media_consumption": "actively_avoided"
+  }
+}