拆解 agent 循环：把是非判断从大模型里剥出来交给 Jev

wluha @cryptowluha原推发布于 2026.09.27

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anthropic, openai and everyone else keep dropping better models, nobody's checking how many of those calls even needed to happen went digging inside my own agent loops and found dozens of plain yes or no questions being handed to a model whose whole job is writing paragraphs jev engineering: stop letting a paragraph writer answer yes or no here's the pass that fixed it: ~ scan, surface every hidden judgment sitting between the visible actions ~ cost, measure each one in latency and tokens on its own, not averaged across the whole run ~ type, hand the semantic branches to jev instead of an llm ~ gate, classify risky tool calls before they execute, never after ~ verify, judge completion by evidence in the environment, not by the model just claiming it's done most agents route every single decision back through the same frontier model, twenty calls in and the agent has spent more time deciding whether to keep going than actually doing the work splitting generation from judgment from enforcement is the whole fix, not a better prompt, just a cleaner boundary between the three full architecture, the failure modes and the rollout order are in the breakdown below

这条是引用着另一条写的：x.com/cryptowluha/status/2103600863868604579