Jev as an agent's System 1 layer skips 98% of model calls
A demo splits an agent into a System 2 reasoning layer and a fast Jev selection layer, so 7,100 of 10,000 decisions no longer go through large-model generation.
Jev Engineering is the System 1 most agent stacks are still missing. same agent → two speeds → one split $98.41 pulled out of 10,000 decisions. everyone is optimizing the model. Jev Engineering optimizes what never needed a model. every agent eventually hits the same fork: state → draft / pick / score / yes-no / code → one lane has to win instead of sending every “which worker?” and “how urgent?” back to a $15 / M call, Jev turns the reflex into its own layer: so the loop becomes: System 2 → research, write, reason Jev → pick, score, gate code → execute state → update Jev → decide again once that split is real, 7,100 of the 10,000 calls leave System 2 with 0 gen tokens.
This post quotes another post: “Jev could become the control layer AI agents have been missing”