jevARTICLE
Jev could become the control layer AI agents have been missing
The article argues that Jev can route agent actions in milliseconds at near-zero cost, replacing expensive LLM calls that take 5–20 seconds to decide each next step.
Ricker
@0xRickerArchived 2026.09.20Originally posted 2026.09.19
What this article says
文章把 Jev 定位为 AI agent 的「控制层」：当前 agent 循环里每一步小决策都要调用一次前沿 LLM，耗时 5–20 秒且成本高，成为整体延迟和费用的主要瓶颈。作者认为 Jev 这类 System One 决策模型可以在毫秒级、接近零成本地完成路由、打分和动作选择，把昂贵模型留给真正需要推理的少数环节。结论是 agent 架构应拆成两层：快速廉价的决策层负责高频小判断，前沿模型只处理高不确定性情况，从而在不牺牲可靠性的前提下大幅提速降本。
Jev could become the control layer AI agents have been missing.
Instead of spending 5–20 seconds and expensive LLM calls deciding every next step, it can route actions in milliseconds at near-zero cost.
In this article, I break down how https://x.com/i/article/2101270009129377793
Ricker @0xRickerOriginally posted 2026.09.19
x.com/0xricker/status/2101292455391809670Archived 2026.09.20 10:16