OKF converter
How an OKF converter turns Markdown into AI knowledge
A practical OKF converter keeps your Markdown readable while adding the metadata and structure AI systems need.
Conversion should preserve the source and improve retrieval
The point of an OKF converter is not to hide your documentation inside a proprietary system. The point is to keep the content portable while adding enough structure for AI retrieval.
Markdown is a strong starting format because it is readable, diffable, and easy to move between repositories. OKF adds predictable metadata on top of that foundation.
The useful conversion steps
A practical converter should detect the title, create a stable slug, generate a short description, retain headings, and flag missing metadata before export.
For larger sources, the converter should split content into logical files so agents can retrieve the exact task or concept instead of pulling an entire manual into context.
What comes after Markdown
The same pattern can apply to OpenAPI specs, websites, sitemaps, PDF manuals, Notion exports, Confluence spaces, and product help centers.
Each source needs a different parser, but the destination stays consistent: clean OKF files with metadata, sections, validation, and export-ready structure.