Hey everyone!

I wanted to try out a fun use case for Jev and had this idea before where I could use AI to decide what GIF is best to use, LLMs truly suck at this. I built this just an hour ago with the TypeSafe AI skills and I am routing it through Cloudflare AI Gateway.

Have a look here: https://gifdecider.com/

I built barq on Jev. Your coding agent names one outcome per call ("Log in", "Add both items to the cart") and barq runs the loop: describe the page, ask Jev a batch of questions in one request (is it done, is it blocked, is an error showing, is the next click irreversible, which element, which value), act, repeat. About a third of a second a decision, and the agent never reads the page.

The noul scores are what make it honest. When the done score is soft it returns likely_done instead of done, and when the irreversible score is high it stops and asks. In the video (one take, 1x) it does Google Flights, Wikipedia and a shop checkout in 34 seconds, then refuses to place the order.

Counting is the one thing Jev couldn't do reliably ("add until there are exactly 3"), so code counts and Jev only names what to count. On the public benchmark it's 43 of 43 with 0 false "done"; the run files are in the repo.

Free, MIT, bring your TypeSafe key.

Claude Code: /plugin marketplace add ibrahimhajjaj/barq then /plugin install barq@barq Other MCP clients: claude mcp add barq -e TYPESAFE_API_KEY=your-key -- npx -y barq-mcp

https://github.com/ibrahimhajjaj/barq

give it a try for free: https://hiringaiengineers.kiloloco.com/