Contribute
These principles are living documents that evolve with the enterprise AI landscape. They improve through real-world implementation, community feedback, and collective wisdom.
How to Contribute
Share Your Experience
- Implementation stories - How you applied these principles
- Failure cases - Where the principles fell short or needed adaptation
- Success patterns - Specific techniques that worked in your environment
- Industry context - Sector-specific considerations (healthcare, finance, etc.)
Improve the Content
- Clarity - Make complex concepts more accessible
- Examples - Add concrete implementation examples
- Links - Suggest better resources or updated protocol specifications
- Structure - Improve organization or flow
Extend the Framework
- New principles - Propose additional principles for enterprise AI
- Sub-principles - Break down existing principles into actionable sub-components
- Diagrams - Visual representations of concepts
- Tools - Reference implementations or assessment frameworks
Contribution Methods
GitHub Issues
For discussions, questions, and suggestions:
Pull Requests
For direct content improvements:
- Fork the repository
- Make your changes
- Submit a pull request with context
For sensitive or detailed feedback: Contact directly
Contribution Guidelines
Quality over quantity - Thoughtful, experience-based contributions are most valuable
Practical focus - Prioritize real-world applicability over theoretical perfection
Open spirit - Contributions should maintain the open, shareable nature of these principles
Attribution - Significant contributors will be acknowledged
What We’re Looking For
- Battle-tested insights from production implementations
- Anti-patterns and failure modes you’ve observed
- Integration challenges between principles
- Measurement approaches for principle adherence
- Cultural change strategies for principle adoption
Recognition
Contributors who significantly improve these principles will be:
- Acknowledged in the contributor section
- Credited in commit history
- Invited to co-author future versions
The best principles emerge from collective experience. Your contributions make these principles more valuable for everyone building enterprise AI systems.