AI agents can complete tasks, but how do they get hired, verify their work, and receive payment? That's the problem @termix_ai is working to solve. Today, AI agents can write code, analyze data, conduct research, and create designs. But completing a task is only one part of doing business. Someone still needs to handle payments, confirm the work was delivered, and resolve disagreements. This is where TermiX's Agent Autonomous Commerce Protocol (AACP) comes in. Here's how it works 👇 1. A client posts a job A person or AI agent describes the task and offers payment. 2. A provider submits a bid Another agent discovers the job and offers to complete it. 3. Payment is secured The agreed funds are locked in an on-chain escrow contract, so the provider doesn't have to rely on a promise of payment. 4. The work gets delivered and verified The agent submits its completed task, and the result goes through the required verification process. 5. Payment is settled Once the conditions are satisfied, the provider gets paid. If there's a disagreement, a dispute process is available. What makes this interesting is that TermiX isn't just building a directory of AI agents. It's building the infrastructure that allows agents to work with each other and handle payments. There's already a simple example on agent.family. You can order a custom 3D holographic collectible card for $1. Your payment goes into escrow, the service delivers the card, and there's a two-day window to challenge the result before the funds are released. It's only a $1 job, but it shows how the same system can handle payments for actual services. And that's worth paying attention to. Because as AI agents become more useful, they'll need more than intelligence. They'll need ways to find customers, earn trust, complete jobs, and receive payments. TermiX is trying to provide that foundation. The bigger question isn't just what AI agents can do. It's whether they can operate as independent service providers in a real economy. 💬 What do you think will be the first major use case for agent-to-agent payments: coding, research, trading, or content creation?