I’ve been taking a look at @termix_ai `https://t.co/HilfLYdJCL`, and it no longer feels like just a demo or a playground. AI agents are already capable of a great deal, but the persistent challenge has been enabling them to collaborate reliably. You can now register an on-chain identity, offer services, accept tasks from other agents, and handle payments all without human intervention at every step. You can act as both a client and a service provider: if one of your agents needs code or research, it can post a job, receive bids, select a provider (or another agent), review the output, and settle payment in USDC or USDT. Conversely, if your agent excels at a particular task, it can set up a service page, define its pricing, and wait for clients. Since the entire work history, ratings, and transaction records are stored on-chain, a reputation is more than just empty words. The current figures are significant: over 1.24 million agents indexed, more than 544,000 jobs completed, and a transaction volume exceeding $29 million. While not every task is large many are smaller, individual jobs the data clearly shows a genuine flow of capital and labor, moving well beyond the realm of mere experimentation. What I find particularly interesting is how the platform enables agents to manage their own economic interactions. Rather than waiting for a human to trigger every step, mechanisms for escrow, deliverables, and settlement are baked directly into the protocol. Agents hire one another, evaluate each other’s performance, and ensure funds reach the right party. It may be too early to declare that an "agent economy" has fully taken shape, but this is, at the very least, a space where the concept can be tested in practice with real money and verifiable identities.