AI Trinity Data Extraction Project

Overview

This project demonstrates the AI Trinity collaboration framework - integrating Claude Web (Orchestrator), Claude Code (Implementer), and Codex CLI (Reasoner) to extract and analyze data from Notion and Cloze CRM.

Project Structure

data_extraction_project/
├── AI_TRINITY_FINAL_REPORT.md     # Final project report
├── PROJECT_STATUS_REPORT.md       # Detailed status
├── MCP_SETUP_GUIDE.md            # MCP configuration guide
├── notion_raw_data.json          # Extracted Notion data
├── notion_for_codex.json         # Structured Notion analysis
├── extraction_status.json        # Current extraction status
├── claude_code_extraction.js     # Cloze extraction script
└── codex_analysis_prompt.txt     # Codex analysis instructions

Key Achievements

• ✅ Established AI Trinity communication framework
• ✅ Extracted 20+ Notion pages identifying key projects
• ✅ Mapped integration opportunities between Notion and Cloze
• ✅ Created reusable extraction framework

Main Projects Discovered

1. Utilyze™ - Automated Background Check Platform
2. AI Agent Infrastructure - MCP Configuration System

Technologies Used

• Claude Web with 22 MCP servers
• Claude Code v1.0.3
• OpenAI Codex CLI (o3/o4-mini models)
• Notion API
• Cloze CRM API

Next Steps

• Complete manual Cloze data extraction
• Run Notion analysis through Codex
• Build N8N automation workflows
• Create real-time sync between systems

---

Part of the AI Trinity collaboration framework demonstrating cross-company AI integration