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NEXT-STEPS.md

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Next Steps for Intuition AI Repository

Proposed Structural Improvements

Context Directory Enhancements

  • Add schemas/ subdirectory for structured data formats
  • Implement metadata tagging system for examples
  • Create standardized template for conversation examples
  • Add index.md for AI-friendly directory navigation

Playbook Refinements

  • Add patterns/ directory for common interaction patterns
  • Create template for documenting success/failure patterns
  • Develop clear "if-then" scenario structure
  • Include boundary case examples

Prompt Engineering Improvements

  • Implement versioning system for prompts
  • Add variables/ section for dynamic prompt components
  • Create "chain of thought" documentation structure
  • Develop prompt testing framework

AI Consumption Optimization

Documentation Structure

  • Add machine-readable summaries to all documents
  • Create clear demarcation between human/AI-focused content
  • Implement standardized metadata headers
  • Add directory-level index.md files

Version Control & Model Compatibility

  • Create version tracking for different LLM models
  • Document model-specific effectiveness patterns
  • Track behavioral changes across model versions
  • Implement compatibility tags for prompts

Integration Guidelines

  • Document Cursor-specific integration patterns
  • Create guide for external repository linking
  • Develop best practices for context injection
  • Outline repository cloning/forking guidelines

Implementation Priority

  1. High Priority

    • Directory structure implementation
    • Basic metadata system
    • Initial index files
    • Core documentation templates

  2. Medium Priority

    • Version control system
    • Pattern documentation
    • Success/failure tracking
    • Integration guidelines

  3. Future Enhancements

    • Advanced metadata systems
    • Automated testing frameworks
    • Cross-model compatibility tracking
    • Community contribution guidelines

Note: These improvements should be implemented iteratively, following our "dogfood first" approach. Each enhancement should be tested internally before being formalized in the repository structure.