给 OpenAI Dots 加检查点的四角色结构

slash1s @slash1sol原推发布于 2026.10.02

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OpenAI Dots gets risky when one agent keeps running without a real checkpoint. Long chains look efficient, but the longer they run, the easier it is for one bad step to contaminate everything after it. That’s why I’d structure it like this: > One dot, 4 seats. > Lookout -> Maker -> Skeptic -> Runner. > Max 5 steps before a checkpoint. > Permissions split into allow / ask first / block. > Approved work always lands somewhere permanent. The numbers make the case pretty clearly. 5-step chains: 8.6% flagged. 10-step chains: 19.7% flagged. two 5-step legs with checkpoints: 3.4%. So the interesting part isn’t making the agent more autonomous. It’s giving the agent a system that forces it to stop, review what happened, and only continue when the last leg still matches the brief.

这条是引用着另一条写的：x.com/fleyta88/status/2105656875387625507