Jev 只做决策不做生成，省下 agent 循环开销
agent 循环里 25–40% 的调用只是是非判断，Jev 用 70–500ms、$0.042/百万输入 token 一次答完带置信度的选择题。
AI AGENTS ARE BURNING MONEY ON QUESTIONS THAT ONLY NEED A YES OR NO. The problem: most agents send every tiny check through the same expensive model. Did the tests pass? Merge or retry? Is this ticket urgent? Each one costs full price and seconds of waiting. In a normal agent loop, 25 to 40% of all model calls are exactly this. The fix is a model called Jev. It never writes a single word. It only decides. → you give it the context and a few typed questions → it answers all of them at once, with a confidence score → in 70 to 500 milliseconds, for $0.042 per million input tokens → the expensive model only wakes up when there's real writing to do One code review loop, before and after: 3 decisions took 13 seconds and 1,550 tokens with Jev: 0.83 seconds and almost free The published range is 20 to 200x faster and 40 to 400x cheaper, depending on how many decisions your agent makes. Jev was built by one of the original ChatGPT co-inventors, backed by a $40M seed. Your agent doesn't need a smarter model. It needs to stop asking the smart one yes or no. Save this.