Imagine managing 10 autonomous trading agents. One performs exceptionally well. Three are average. Two start losing. The rest follow strategies that haven't faced a difficult market yet. Looking at each agent separately might give you a very different picture from looking at the entire operation. That's why I find the holistic ACS mechanism from @agenticscredit interesting. Each agent has an individual score, but those records also contribute to the operator's overall credit profile. In other words, success from one bot doesn't automatically erase risk elsewhere. This is an important idea as autonomous trading scales: responsibility shouldn't disappear just because decisions are distributed across multiple agents. More agents create more opportunities. They also create a bigger risk-management problem.