200x / 400x refers to classification tasks relative to
Clarified that the 200x/400x figures refer to classification tasks versus comparable LLMs, not general chat speed, and that Jev handles structured fast decisions inside agent loops.
The original post, translated
200x / 400x refers to classification tasks relative to similar LLMs, not overall chat speed. Jev is stuck at the part of the agent loop where it makes fast structured decisions, don't treat it as swapping the base model.
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200x / 400x 写的是分类任务相对同类 LLM,不是全面聊天速度。 Jev 卡在 agent loop 里做结构化快决策那一截,别当成换底座。
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 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.
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Last updated: 2026-09-22 · sources & corrections · every card links to its author's original post