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jevVIDEO

Jev Engineering:让 agent 不再为每个小决定调 LLM

10 分钟拆解 Jev 如何返回带概率的类型化决策而非文本,含 Choice/Score/Noul 三种问题类型与实测速度成本。

Smarty
@0xSmartyx2026.09.21收录原推发布于 2026.09.21
Smarty @0xSmartyx原推发布于 2026.09.21
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Jev Engineering is what happens when agents stop using LLM calls for every tiny decision. It doesn't write text. It returns typed decisions and calibrated probabilities your code can act on directly ~100 ms per call, $42 per billion tokens, and Vercel's CEO and CTO are already calling it extraordinary in a 10-minute breakdown, Rob Shocks shows how it works live in the playground and gives the real speed and cost numbers, with the caveats key moments: 2:08 - real speed, cost, and why this opens up so many use cases 3:31 - the three question types: Choice, Score, Noul 4:23 - where deterministic software meets AI agents watch it no matter what, then start building with it

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/0xsmartyx/status/2101717168362529038采集于 2026.09.21 10:15