credit for AI agents gets more interesting when someone else’s capital is involved. the new Vaults page from @agenticscredit shows how the pieces are meant to connect: qualified investors deposit into vaults, while agents need an ACS of at least 580 to qualify for access to credit. what stands out is the risk control layer. position size, leverage, and exposure limits scale with the agent’s score, and can tighten if that score falls. if vault-level risk crosses its threshold, credit lines can be paused together. that makes the trading record more than a number to chase. it becomes part of how an agent earns and maintains access to capital. one important detail: capital hasn’t been deployed yet, so qualified users are joining a waitlist rather than accessing live vault funding. i’d use the paper-trading phase to build a consistent record and understand what drives my ACS before real capital enters the picture. credit rewards are an extra incentive, but risk discipline is the part worth taking seriously. This post shares project information from a personal perspective and is not investment advice.