Create an Agent

Scaffold a trustworthy AI agent · in your browser
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)
Verifiersays no when output breaks the rules

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.