Jev Engineering keeps costly models out of routine decisions
The author breaks down the Jev routing chain — task, typed state, dispatcher, smallest fitting model, scoring and approval gate — reporting up to 193x faster and 444x cheaper results in testing.
Jev Engineering is the layer that makes an agent stack behave like a real control system, keeping the costly model away from routine choices. the payoff: up to 193x faster and 444x cheaper in testing. not every step deserves a frontier model. here is how a task flows: incoming task → typed state → Jev dispatcher → smallest model that fits → worker agent → relevance + approval scoring → action gate → tool call what matters: none of the routing layers produce text. they classify → score → block → approve. which means a premium model is only invoked once a task genuinely demands reasoning. that is the whole idea behind Jev Engineering: pull reasoning apart from decision-making, then keep the decision side cheap, fast and measurable. full teardown in the article below ↓
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