Using Jev to create logic to predict the next sentence, I
Built an AI chat app that uses Jev for next-sentence prediction, getting fast output at $0.042 per 1M input tokens with free output.
The original post, translated
Using Jev to create logic to predict the next sentence,
I made an app that can chat with professional AI through Jev's judgment, but first it is explosive, the input is $0.042/1M tokens, but the output is unlimited, it's free.
What is free AI chat? This.
Oh, really? Can I do this? "What did it become?"
#Jev
Show the original post in its source language ▾
Jevで次の文章予測判断させるロジック作って、
判断特化AIのJevで、AIチャットできるアプリ作ったんだけど、まず爆速だし、入力は$0.042 / 1Mトークンだけど、出力が無制限で無料でした。
出力無料のAIチャットってなんだこれw
「え？これ作れちゃっていいん？」ってなってる。。。
#Jev
The post above is a machine translation from ja; 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 general Jev builds. 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. Browse the full case library for the work it sits next to.
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Last updated: 2026-09-22 · sources & corrections · every card links to its author's original post