Self evolving agents

It's so frustrating when an AutoGPT run eats up tokens only to hallucinate a fake result. I think the real issue is the blackbox nature of these runs—we can't see the intermediate states where things actually derail. I’m currently sketching a non-technical concept to fix this by visualizing those sub-steps and tracking quality drift. The bigger vision is creating a path for self-evolving agents, where the system uses feedback for autonomous improvement to keep results stable. I’m sharing some of my UI mockups and logic in a small newsletter if you're into the design side, but honestly, I'm just curious—how do you guys audit your runs when they fail?