Jev Engineering: agents stop calling an LLM for every small decision
A 10-minute breakdown shows how Jev returns typed decisions with calibrated probabilities instead of text, covering the Choice, Score and Noul question types plus measured speed and cost.
Jev Engineering is what happens when agents stop using LLM calls for every tiny decision. It doesn't write text. It returns typed decisions and calibrated probabilities your code can act on directly ~100 ms per call, $42 per billion tokens, and Vercel's CEO and CTO are already calling it extraordinary in a 10-minute breakdown, Rob Shocks shows how it works live in the playground and gives the real speed and cost numbers, with the caveats key moments: 2:08 - real speed, cost, and why this opens up so many use cases 3:31 - the three question types: Choice, Score, Noul 4:23 - where deterministic software meets AI agents watch it no matter what, then start building with it
This post quotes another post: “Jev could become the control layer AI agents have been missing”