About Agent Model Fit

Agent Model Fit explores how to match the right agent, the right model, and the right problem.

The publication is also an implementation of that idea: it uses agents to help operate a lightweight, Git-native research site.

The technical thesis is simple: useful original information should be easy for people and agents to discover, crawl, understand, retrieve, cite, trust, and act on.

That means stable URLs, semantic HTML, explicit dates and provenance, machine-readable feeds, and primary content that remains available without client-side JavaScript.

Editorial areas

The approved top-level areas are Framework, Fieldwork, Guides, Evaluations, Business, and Case Studies. Their detailed taxonomy and publishing strategy remain intentionally open while the foundation is established.