用 Jev 给 agent 每步动作打置信分，千次决策只花 8 美分
作者把 agent 的每个动作先过一遍 Jev 打分，按 0.95 / 0.85 两档阈值分流，1000 次决策成本 0.084 美元，并给出 61%/18%/21% 的分流实测。
STOP BURNING $ ON YOUR AI AGENTS. SERIOUSLY. 1,000 AGENT DECISIONS. OPUS 5.5 CHARGES $8. GPT-6 ASTRA $20. I PAY 8 CENTS you're paying the most expensive brain in the room to say yes or no every action my agents take goes through one jev call first. a Dot on one side, a Grok Bot on the other, jev in the middle giving each move a confidence score the math: 2K input tokens per decision $0.042 per 1M tokens 1,000 calls → $0.084 same run on opus 5.5 → $8 on gpt-6 astra → $20 95x cheaper than opus. 238x cheaper than astra the thresholds do the real work. steal this: p ≥ 0.95 → the agent sends on its own 0.85 to 0.95 → acts inside the tools, nothing leaves the building p < 0.85 → stops and waits for a human simulated stream, thresholds from my build log: 111 sent on their own (61%) 33 acted inside the tools (18%) 39 held for me (21%) decision #4002 was a Grok Bot sending renewal #1584 at p = 1.00 the agents run on plans you already pay for: supergrok heavy → $300/mo cursor ultra → $200/mo cursor premium teams → $120 a seat chatgpt pro or business premium → first Dot included jev sits on top and costs cents one-person company, agents running 24/7, and 4 of 5 actions never need me. the 5th always ends with a human yes. that's the part I'd never automate helix, thresholds and cost chart are in the image, ready to copy. send the thresholds to your Grok Bot and save this before you route another agent through an $8 judge ↓
这条是引用着另一条写的：x.com/donatelloxpro/status/2106803135071035580