Imagine an AI agent managing capital while you're asleep. It could generate profits, but it could also keep increasing exposure when its strategy starts failing. Without real limits, automation becomes a faster way to amplify losses. That's why one aspect of @agenticscredit stands out to me: they're not just building a system to evaluate agents. They're also building mechanisms that can actually stop an agent from trading. Stop-losses, trailing stops, drawdown limits, and automatic trading pauses aren't just additional features. They're essential conditions for deploying capital without placing blind trust in every decision an AI makes. Even more interesting, credit capital isn't simply handed over to an agent's wallet. It's deployed through approved platforms under defined restrictions. I believe the future of Agentic Finance won't be determined by which agent can automate the most. It will belong to the systems that know exactly when AI should be allowed to act, and more importantly, when it must be forced to stop.