Developer Builds Auditable Portfolio Chatbot Using Open Knowledge Format and Multi-Agent Routing

A developer has built a portfolio chatbot that uses Open Knowledge Format (OKF), a vendor-neutral Markdown-and-YAML specification, as a governed knowledge layer to control what information an AI can share publicly. The system employs a multi-agent workflow in which agents interpret visitor questions, route them through an approved catalogue, and generate answers only from records that meet predefined publication rules. OKF structures knowledge as directories of Markdown files with YAML frontmatter, enabling both human-readable content and machine-queryable metadata including type, status, tags, and verification details. The developer extended the format with a custom field to flag which records are visible to chatbot visitors, separating the knowledge representation layer from the publication policy layer. The project was motivated by a broader question about AI governance: how to determine which information a system is permitted to use before it generates a response.