A ten-minute guide to building your first Jev decision agent
Uses Jev's Choice, Score and Noul return types so an agent picks its next step, rates its own results and judges whether the goal is met, with a full architecture diagram.
this is f*cking gold. How to build your first AI agent with Jev. This is everything you need to know to be ahead of the most people. Once Jev is in your loop, your agent picks its own next action, rates its own outputs, and decides when the goal is met. it runs without you watching it. Jev is a decision model built specifically for this. it reads your system state and returns a typed answer with confidence: Choice - which agent or action should happen next? Score - is this result good enough to keep? Noul - is the goal met? the architecture: LLM thinks. Jev decides. Agent executes. 10 minutes to get it running. Hosted on Vercel and Cloudflare via Typesafe. Waitlist access, people report getting in within a day. The guide in the image maps the full setup, from architecture to your first decision call. Wrote the full breakdown on agents, loops, and graphs below.
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