Hang Up, Call Back

When an agent conversation goes down the wrong path, don't course-correct — rewind history and re-prompt so the model never sees the bad idea.

What it is

When a session heads down a fundamentally wrong path, the instinct is to correct it in place: explain what's wrong, redirect, keep the conversation going. This usually fails, for two reasons. First, the rejected approach stays alive in context — the model anchors on those tokens and keeps drifting back toward the bad design no matter how firmly you correct it. Second, the dead-end transcript burns context budget, so even a correction that sticks leaves the fresh attempt running with less room and degraded attention.

The fix is what you do when a customer service call goes off the rails: hang up and call back. The next agent has no memory of the botched call, and you now know exactly how to phrase your ask. In an agent session the move is a rewind, not a fresh start — roll the conversation back to before the wrong turn, keeping everything that was still on track, and re-prompt from there. The learning from the failed path survives in the re-prompt: a revised prompt that encodes what you now know, or a changed success criterion that redefines what done means. The bad transcript itself dies. The model that does the real work never sees the bad idea and is never polluted by the wrong tokens.

When to reach for it

When NOT to

Exemplars

Related