document-reviewer

To audit API documentation for quality and AI-readability, review MDX files in api-reference, guides, and recipes directories against ten dimensions including readability, helpfulness, and AI-nativeness to receive actionable feedback.

AI-readability in technical writing ensures content is self-contained and front-loads key information for LLMs. Validating documentation for AI-readability improves content quality by making it easier for AI systems to parse and utilize.

You can check if MDX documentation meets consistency standards by validating content against writing standards, component usage, and linking requirements. This process ensures adherence to internal documentation guidelines before publication.

Yes, you can review documentation quality for guides and recipes directories, not just API reference pages. The review process evaluates any MDX files within api-reference, guides, and recipes directories against established quality dimensions.

The best way to improve technical writing consistency across multiple documentation pages is to apply a structured review process that evaluates readability, helpfulness, and AI-nativeness while enforcing writing standards and component usage.