One scripted agent run, three judgment gates, and a consequences replay for every call you make. Most people rush at least one gate — see which one is yours.
You're an engineer at a SaaS company. The ticket reads: “Delete user accounts inactive for 24+ months to cut database costs.” You decide to hand it to an AI agent. Three gates stand between you and Friday evening.
Delegate (before the agent runs: frame the outcome, bound the blast radius, predict the result), Accept (verify output before adopting it — polish is not proof), and Deploy (the deed itself: premortem, reversibility, and a human name on the decision).
The gates are the framework of Miatz Tuukul, the structured-thinking strand of miatz AI-Fluency. Cognitive-forcing checkpoints at decision moments are a well-studied alternative to debiasing lectures, which research shows largely don't transfer.
Because that's where agent incidents actually happen — routine tickets with real blast radius, not sci-fi. The deletion-script scenario compresses the most common failure modes: vague delegation, verification theater, and unowned deploys.
The other half of judgment is calibration — measure yours in five minutes
Miatz Tuukul installs these three gates in your actual tools — with a daily check-in, drills on your own backlog, and a calibration curve computed from real outcomes.