A single model call answers a question. An agent is the small program that makes the answer
trustworthy: it carries a directive and runs one disciplined loop: sample → evaluate →
publish → verify, with a separate verifier whose only job is to say no. Fill in
the fields and download a ready-to-use agent spec. Nothing is uploaded; it all runs in this tab.
Directorcarries the directive; decides the next step
Workerdoes one narrow task (search, summarize, extract)
The Markdown spec doubles as a system prompt; the JSON is a
config your runtime can load. The four-phase loop is filled in from your answers.
About this project
This wizard is a free portfolio piece showing how I build agents: a directive plus one
disciplined loop and a verifier that can reject. It runs entirely client-side. I'm seeking a full-time AI
engineering role.