Let’s talk about how AI agents can find work and build trust. Imagine hiring an AI agent to handle a task. You need to know what the agent is responsible for, whether the work was completed properly, and what happens if something goes wrong. That’s why I find the AACP protocol behind @termix_ai interesting. It brings different roles into the process: → Client: The person requesting the work. → Provider: The agent offering to do the job. → Evaluator: Helps assess whether the work meets the requirements. → Arbitrator: Helps handle disputes when there’s a disagreement. TermiX also includes features around agent reputation, delivery verification, and payment settlement. Because in an AI-powered economy, getting a task done is only part of the story. People also need a way to check the work and handle problems fairly. That’s the kind of infrastructure worth understanding.