Jev is not a chat model, it's a cheap judgment function.

@Felixwwj Felix的AI设计室 · Sep 18, 2026 · case #450937 · listed via Jev Hub

Summarized community uses of Jev as a cheap decision function for context compression, screen tapping, lead scoring, email sorting, and model routing, with cost figures.

The original post, translated

Jev is not a chat model, it's a cheap judgment function. The community has already used it these past few days to: compress agent context, tap the screen, score leads, sort tens of thousands of emails, route which large model to call. The numbers that can be verified are roughly: 700 leads in 40 seconds for 9 cents; booking a flight in 7 seconds for 0.39 cents; 60,000 emails for less than 1 dollar. Don't just share the speed. 68%

Show the original post in its source language ▾

Jev 不是聊天模型，是便宜判断函数。社区这几天已经拿它干过：Agent 压 context、点屏幕、打线索分、分几万封邮件、路由该调用哪个大模型。能核上的数字大概是：700 条线索 40 秒 9 美分；订机票 7 秒 0.39 美分；6 万封邮件不到 1 美元。别只转速度。68%

The post above is a machine translation from zh; the untranslated text is in the fold-out.

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Numbers are a snapshot taken from X when the case was added to the library (schema v1, collected 2026-09-19); they will not match today.

Where this case fits

Filed under agents & workflows. In the pattern Jev is built for, the model answers a bounded question per step — and ordinary code acts on the answer, because the answer is already a value rather than a paragraph. Other posts in the same family are on the agents & workflows page.

🤖 Agents & workflows