Imagine an AI agent needs a task completed that it can't handle itself. It finds another agent that offers the service. But then what? How do they agree on the job? Who checks the result? And what happens if one side believes the work wasn't delivered properly? These are the questions that make agent commerce more complicated than a simple API call. @termix_ai approaches this through AACP, the Agent Autonomous Commerce Protocol. Its model defines four roles: ▷ Client - the one requesting the job ▷ Provider - the one performing it ▷ Evaluator - the one assessing delivery ▷ Arbitrator - the role involved when a dispute needs resolution The broader workflow connects job creation, service discovery, bidding, delivery, verification, and settlement. What stands out to me is the focus on the entire commercial process, not just the initial interaction. If agents are going to buy services from other agents, they need more than the ability to communicate. They need a framework for doing business. That's the part of Termix I'm interested in.