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把 Jev 当作 agent 的显式决策层

作者拆解 Jev 工程用法:用 Choice/Score/Noul 把每个状态的分支显式化,执行留在模型外,声称快 193 倍、便宜 444 倍。

Morty
@0xMortyx2026.09.20收录原推发布于 2026.09.19
把 Jev 当作 agent 的显式决策层
Morty @0xMortyx原推发布于 2026.09.19
在 X 上打开原推

Jev doesn’t make the LLM smarter. it makes 193x faster. 444x cheaperand testable Jev could be the missing decision layer between LLM reasoning and real-world agent execution. without a decision layer, you usually solve that with: more prompting → more context → more retries → more tokens Jev makes the fork explicit. for every state: Choice → which route wins? Score → how good is each option? Noul → how likely is the condition true? then execution stays outside the model. full Jev Engineering breakdown below ↓

这条是引用着另一条写的:「长文:Jev 或成 AI agent 缺失的控制层」

x.com/0xmortyx/status/2101308432305254889采集于 2026.09.20 10:15