Using Jev as a routing layer: 193x faster agent decisions at 444x lower cost
Requests are converted into structured state and handed to a Jev router that picks the cheapest capable model, so the decision layer only routes, scores, blocks and approves instead of generating text.
Jev Engineering is what turns an agent stack into an actual control system and moves the expensive model out of every decision loop. and up to 193x faster and 444x cheaper in tests. the model shouldn’t decide everything. in this setup: request → structured state → Jev router → cheapest capable model → worker → relevance / approval checks → execution gate → tool the important part is that the decision layers don’t generate prose. they route → score → block → approve. so expensive models only get called when the task actually needs them. that’s the point of Jev Engineering: separate reasoning from decision-making, then make the decision layer measurable, cheap and fast. full breakdown in the article below ↓
This post quotes another post: “Jev could become the control layer AI agents have been missing”