Jev routes models in a client pitch demo, cutting decisions to 0.2ms
In a demo dashboard, Jev picked an image model from 214 options and gated re-runs, compressing manual selection, scoring and re-run gating to 0.2ms each and lowering cost per decision to $0.0001.
I ran a routing decision through JEV for a client pitch, and the cost readout landed at $9.32 saved before I even finished explaining what the dashboard was showing. 214 models lit, 26 currently warming, 268 decisions logged, cost per decision sitting at $0.0001, latency 0.2ms. The rule sat printed plainly in its own box: JEV picks a model, Picsart makes the asset, JEV gates the re-run, and the human says whether it's actually good. One prompt fired into the prompt bar and radiated straight out through the router as hundreds of thin lines, ima_28 landing as the routed image model, picked by JEV at 3.45 credits, snapshot logged and stamped as "routed" the instant it resolved. Feed underneath kept scrolling live, route, gate, judge, score, each decision tagged with its own credit cost, none of them silent. The number that actually closed the deal was in the comparison table at the bottom: picking a model manually used to run 2.1 seconds, scoring against a brief 1.8 seconds, gating a re-run 2.4 seconds, JEV collapsed all three to 0.2ms each. Cost per call dropped from $0.030 to $0.0001. Full re-run avoided far more often than a re-run got triggered. That's the part I didn't need to explain twice. 214 models, one prompt bar, and a dollar figure sitting in the corner proving the routing decision paid for itself before the client asked a single follow-up question.
This post quotes another post: x.com/blazt_ai/status/2102767421895389346