COAIA Sequential Thinking

# LLMS.txt Compliance Checklist ## 1. Basic Structure Compliance ### 1.1 Mandatory Elements - [ ] H1 Project Name (Clear, Descriptive) - [ ] Blockquote Summary (1-3 sentences) - [ ] Version Information - [ ] Content Source/Attribution ### 1.2 Markdown Formatting - [ ] Uses standard markdown - [ ] Clear, hierarchical headings - [ ] Consistent formatting - [ ] Avoids complex formatting ## 2. Content Quality ### 2.1 Information Clarity - [ ] Concise language - [ ] Avoids unnecessary technical jargon - [ ] Provides context without over-explaining - [ ] Uses clear, actionable descriptions ### 2.2 Comprehensiveness - [ ] Covers core project/document purpose - [ ] Explains key concepts - [ ] Provides high-level overview - [ ] Includes practical implementation guidance ## 3. Machine Readability ### 3.1 Structural Elements - [ ] Unique section identifiers (hashtag references) - [ ] Consistent section structure - [ ] Key takeaways for major sections - [ ] Clear semantic organization ### 3.2 Metadata - [ ] Version number - [ ] Unique document identifier - [ ] Date of last update - [ ] Content source/origin ## 4. LLM-Specific Considerations ### 4.1 AI Interaction Guidelines - [ ] Explains how AI should interpret/use document - [ ] Provides context for structural understanding - [ ] Highlights potential misinterpretation risks - [ ] Offers guidance on question formulation ### 4.2 Anti-Pattern Identification - [ ] Lists common AI misunderstandings - [ ] Provides clear do's and don'ts - [ ] Explains structural thinking principles - [ ] Offers method for self-correction ## 5. Cross-Reference and Navigation ### 5.1 Related Resources - [ ] Links to related documents - [ ] Provides context for additional reading - [ ] Uses descriptive link annotations - [ ] Includes external reference points ### 5.2 Internal Referencing - [ ] Hashtag-based section references - [ ] Clear navigation structure - [ ] Enables easy cross-section linking ## 6. Accessibility and Usability ### 6.1 Human Readability - [ ] Engaging, clear writing style - [ ] Breaks complex concepts into digestible sections - [ ] Uses examples or analogies - [ ] Maintains professional tone ### 6.2 AI Model Considerations - [ ] Provides context for different AI model types - [ ] Explains potential interpretation variations - [ ] Offers guidance for multi-modal understanding ## 7. Compliance Scoring ### Scoring Methodology - Perfect Compliance: 90-100% - High Compliance: 75-89% - Moderate Compliance: 60-74% - Low Compliance: <60% ### Scoring Weights - Mandatory Elements: 25% - Content Quality: 20% - Machine Readability: 15% - LLM-Specific Guidelines: 15% - Cross-Reference Quality: 10% - Accessibility: 10% - Bonus Points for Innovative Approaches: 5% ## 8. Implementation Recommendations ### Best Practices - Keep document updated - Review for AI model changes - Solicit feedback from AI researchers - Conduct periodic compliance audits ### Future Evolution - Expect standard to change with AI technology - Remain flexible in implementation - Prioritize clear communication ## 9. License and Usage ### Intellectual Property - Encourage open sharing - Provide clear usage guidelines - Attribute original sources - Support collaborative improvement --- *This checklist is a living document. Last updated: 2025-08-28*