Jev 为什么适合自动化决策层

rewind @rewind02原推发布于 2026.09.21

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Jev, built by an ex-OpenAI cofounder of ChatGPT, here's why it matters for automation: - no text generation at all, it returns typed decisions instead... a choice, a score, or a yes/no probability - answers come back in one parallel pass, not token by token, so it's roughly 100x faster than a chat model - costs a fraction of a cent per call instead of the usual LLM classifier tax - built for the decisions software makes thousands of times a day, not the ones a person reads - route support tickets, score inbound leads, flag risky reviews, all before a human opens the queue - put it in front of your existing stack as a router... simple stuff goes to jev, hard stuff still goes to a frontier model it's not a chatbot replacement, it's the part of your stack that was never supposed to be a chatbot in the first place