Jev 做前置闸门，把 agent 夜间成本从 180 砍到 19 美元
用 Jev 类型化层先判断 skip/answer/escalate，重复请求走去重记忆，前沿模型只处理约 10% 新问题。
My agent was burning $180 a night paying the smartest model to answer questions it had already answered. One cheap layer cut it to $19. No smaller brain, no quality drop - just a gate in front of the expensive one. What the prompt below builds: → a cheap typed layer (JEV) reads every check and decides skip / answer / escalate before the expensive model ever wakes up → a dedup memory that returns answers it already gave while the state is unchanged - repeats add no frontier-model cost, and the moment state changes it's a new call → a hard budget cap the model can't override - hits the hourly wall, it stops. no vote, no "let me finish the thought" → the frontier model only runs on what's genuinely new (~10% of calls) → a kill switch, and a nightly self-review that logs every wrong route as one new rule Same 10,000 checks a day. Same work. The ~9,000 repeats and skips never touch the expensive model. Before it goes live, it has to answer one question: HOW MUCH COULD THE NEXT ACTION COST, AND IS IT WITHIN BUDGET? Full prompt below. bookmark it before your next invoice ↓
这条是引用着另一条写的：x.com/kinderlayer/status/2104901484991131774