Hey, my inbox and DMs have been flooded these past two days
The developer answered integration questions by evaluating Jev as a fast decision classifier for fixed-answer scenarios and planning how to wire it into agentflow.
The original post, translated
Hey, my inbox and DMs have been flooded these past two days with all sorts of questions about the possibility of integrating jev with #agentflow. Please allow me to answer all at once here: Yes, I know jev exists, and I've been researching it for a few days. From what I can see so far, it's a very fast decision classifier, suitable for certain decision scenarios with specific answers. I'm already evaluating appropriate ways to integrate it. If the final result looks promising, I'll immediately release a new version for everyone to play with~🕺🏻(otherwise...🥹
Show the original post in its source language ▾
欸 這兩天信箱與私訊裏塞滿各種詢問 jev 與 #agentflow 整合的可能性,請容我在此一次回答:是的,我知道 jev 的存在,也已研究幾天,目前看來它是個很快速的 decision classifier,適用於某些有特定答案的決策情境,我已在評估適當的整合方式,如果最終結果有搞頭一定立即發新版讓大家玩~🕺🏻(反之...🥹
The post above is a machine translation from zh; the untranslated text is in the fold-out.
Engagement when collected
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 classification & data extraction. 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 classification & data extraction page.
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Last updated: 2026-09-22 · sources & corrections · every card links to its author's original post