After Codex integrated Jev, my token quota consumption was

@goan999999 govin.eth | G哥 · Sep 20, 2026 · case #198981 · listed via Jev Hub

Still from the clip posted with this case; watch it in the original post on X.

Routed a purchase question through Jev first, which classified it as purchase inquiry at 97% probability, cutting Codex token usage by 90%.

The original post, translated

After Codex integrated Jev, my token quota consumption was reduced by 90%. I actually tested inputting one sentence: "Should I buy a game console?" Jev quickly judged it as "purchase consultation", probability 97%, confidence 0.96, and then directly entered subsequent processing. It is best suited for these things, classification, filtering, routing, quick judgment. Codex continues to be responsible for complex reasoning. Integration is also very simple: first go to https:// typesafe.ai

Show the original post in its source language ▾

Codex 接入 Jev 后，我的token额度消耗节省了90% 我实测输入一句： “游戏机我要买吗？” Jev 很快判断为 “购买咨询”，概率 97%，置信度 0.96，然后直接进入后续处理它最适合干这些事，分类、筛选、路由、快速判断 Codex 则继续负责复杂推理。接入也非常简单：先去 https:// typesafe.ai

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 coding & developer tools. 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 coding & developer tools page.

🛠️ Coding & developer tools