Jev 决策地球仪：类型化状态 + 置信度门控
用 Jev 把每笔决策打包成类型化输入、固定 Choice 选项，置信度低于 0.85 自动转人工，1 万次决策成本约 $0.42。
WHOEVER LEAKED THIS JEV DECISION GLOBE SHOULD BE SETTING THE STANDARD I thought running a decision through an agent meant prompting the model, parsing its text, and praying the next step understood what came back. Apparently not. This globe's setup is much more interesting: → STATE packs the current case into a typed input before any decision call, no raw chat, no "figure it out from context" → QUESTIONS pins the Choice schema to a fixed set of options, nothing outside the schema can come back, not even on retry → JEV returns a choice with confidence in 3ms, $0.042 per million input tokens, output is free, no LLM burned on routing → GATE compares the confidence against a 0.85 threshold, anything below drops straight to human review, no silent pass-through → CODE acts on the gated choice deterministically, flags 5 action-rate drifts the author never saw against the baseline so you get: States typed. Schemas pinned. Gates thresholded. Actions deterministic. the interesting part isn't making the agent smarter. it's giving every decision a gate the code can't argue past. Instead of running 10,000 decisions through a full model at $8-12 and reading the JSON yourself, you run them through JEV at $0.42 total, 256ms median, and let the gate send anything under 0.85 to a human. Type the state. Gate the choice. Code the act.
这条是引用着另一条写的：「长文：如何搭好 Jev 驱动的 agent 技术栈」