Best Practices for Documenting AI Systems

Semantic HTML enhances document clarity and retrieval accuracy by ensuring a structured format. It’s crucial to avoid misusing elements, as incorrect placement can hinder machine parsing. PDFs should be replaced with HTML or Markdown to facilitate better text extraction. Content should be crawler-friendly, minimizing complex UI elements and JavaScript. Descriptive headings and meaningful URLs enhance semantic clarity, aiding AI understanding of content relationships. Providing text alternatives for visuals ensures accessibility. The design must avoid layout-dependent meaning, using clear lists instead of complex tables. Successful AI documentation is self-contained, addressing contextual dependencies explicitly. Each section should communicate its context, be actionable independently, and include specific troubleshooting guidance with exact error messages. Ultimately, effective documentation serves both human users and AI by being clear, structured, and comprehensive, ensuring easy retrieval and user satisfaction. Prioritize immediate fixes for common inquiries while progressively enhancing coherence in documentation.

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