Claude Code is extracting Notion data for you since you don't have direct MCP access. The data will be saved in JSON format for your analysis.
Read the file at: /Users/jamesbrady/Desktop/ai_trinity_workspace/data_extraction_project/notion_for_codex.json
- Identify all databases and their schemas
- Map relationships between different databases
- Identify key fields and data types
- Document the information architecture
- What types of information are stored in Notion?
- What are the most active/updated areas?
- Identify any project management structures
- Find knowledge management patterns
- Detect any task/goal tracking systems
Generate a comprehensive map showing:
- Database relationships
- Information flow
- Key entities (projects, tasks, notes, etc.)
- Connection points with other systems
Save as: notion_data_map.md with ASCII diagrams or structured markdown
Based on your analysis:
- How can Notion data enhance the Cloze CRM data?
- What automations could be beneficial?
- Which data should be synchronized?
- What insights emerge from combining both datasets?
Create actionable recommendations for:
- Data organization improvements
- Workflow optimizations
- Integration strategies
- Automation opportunities
Save as: notion_analysis_recommendations.md
After Claude Code provides the Cloze data:
- Read
cloze_contacts_full.jsonand other Cloze files - Find correlations between Notion and Cloze data
- Identify shared entities (people, projects, companies)
- Create a unified view of the data landscape
Save as: unified_data_insights.md
Create a final report that synthesizes:
- Notion workspace structure
- Key findings from the analysis
- Integration recommendations
- Unified data model proposal
Save as: notion_analysis_complete.md
Remember to use your advanced reasoning capabilities to find patterns and insights that might not be immediately obvious!