Choosing a model for structured AI decisions is a different exercise from choosing a chatbot model. The outputs are typed, the workloads are narrow, and the cost of a wrong answer usually shows up downstream — a misrouted ticket, an over-scored lead, a guardrail that fails open. That is why the conversation around Jev alternatives tends to be practical rather than philosophical: teams want to know which model returns the right shape of answer, under which constraints, at what cost, and with which failure modes. This guide walks through what Jev is designed to do, where its documented boundaries sit, and how to structure a comparison against other hosted decision…