把 Jev 当决策层：Choice / Score / Noul 三段拆解
作者讲 Jev Engineering 如何把决策层从执行层剥离，用 Choice、Score、Noul 三类输出驱动 agent 循环，并称快 193 倍、便宜 444 倍。
Jev Engineering is what turns an agent from a prompt chain into a 193x faster and 444x cheaper decision engine Jev Engineering separates the decision layer from execution. for every state: Choice → which route wins? Score → how good is each option? Noul → how likely is the condition true? then the rest of the system handles: tools → execution → verification → memory → feedback so instead of one model trying to think, decide and execute everything, you get: state → Jev decision → action → result → updated state that separation is what makes the agent loop easier to benchmark, optimize and scale. full Jev Engineering breakdown below ↓
这条是引用着另一条写的：「Jev 作为 agent 决策层：毫秒级路由替代昂贵 LLM 调用」