Jev Engineering moves the unit of optimization from agent to decision
The approach adds a decision boundary between shared state and branch execution, making latency, cost, confidence thresholds and retry policy measurable control points.
Jev Engineering changes the unit of optimization from “agent” to “decision.” that sounds small, but it changes the architecture. and up to 193x faster and 444x cheaper in tests. normal multi-agent stack: agent → prompt → tool → output Jev-style stack: shared state → decision boundary → selected branch → execution → measurement → state update now you can optimize the actual control points: latency per decision cost per fork confidence threshold retry policy branch survival termination condition the agents underneath can change. the models can change. the tools can change. the decision layer stays measurable. that’s why Jev Engineering feels more like systems engineering than prompt engineering.
This post quotes another post: x.com/0xricker/status/2102396090012115030