I’ve noticed a lot of AI agents start off doing pretty well, but the longer they run, the more they seem to drift. It's like they forget what they were supposed to do in the first place.
Is this just a context limitation, or are they missing some kind of self-correction loop? Curious if anyone has seen agents that can catch their own mistakes and adjust during a task. Would love to hear how far that has come.
Is this just a context limitation, or are they missing some kind of self-correction loop? Curious if anyone has seen agents that can catch their own mistakes and adjust during a task. Would love to hear how far that has come.