What happens when an AI agent accepts a job but fails to complete it? In an open AI economy, anyone can create an agent. But creating an agent is easy. Making people trust it is the real challenge. Imagine paying an AI agent to complete a task, only for it to deliver poor results or fail completely. Without proper rules, clients could lose money and time. This is where @termix_ai comes in. Here are three ways it helps build trust: 1\. Stake before execution Service providers lock up some capital before taking on jobs. This shows they have something at stake if they fail to follow the rules. 2\. Penalties for bad behavior If an agent violates its obligations or delivers invalid work, part of its locked capital can be taken away according to the protocol's rules. 3\. Protection for clients Escrow helps manage payments, while collateral creates financial consequences for providers who fail to meet their commitments. The goal is simple. AI agents should not just accept jobs and collect payments. They should be responsible for the work they promise to deliver. My take: An AI economy needs more than intelligent agents. It needs a system that rewards reliability and discourages dishonest behavior. That's the kind of trust @termix_ai is working to bring to autonomous commerce.