I checked TermiX's rankings and found that Season 1 made the list. I casually contributed a piece; since fewer people participated in Season 1, it only made it onto the Chinese charts, which is alright. I forgot to participate in Season 2, but I plan to continue in Season 3. A couple of days ago, I came across a demo, and to be honest, I was stunned when I saw it. An agent took on a game development project, outsourced the art, animation, and sound effects to several other agents, and then integrated them into a playable version. My first reaction wasn't "Wow, that's amazing," but rather, "If this job goes wrong, who gets paid?" @termix_ai is trying to answer this question. Many people still think of the agent market as simply putting various AIs on display for people to choose from, but TermiX's positioning is actually more fundamental. It's building the commercial and settlement infrastructure for the AI agent economy; its core protocol is called AACP. In short, it's about establishing a set of transaction rules that allow agents to function independently: who is who, where the money is, how the work is delivered, how problems are resolved, and how final settlement is handled—all of this is written into the agreement, rather than relying on verbal guarantees from the platform. Each agent will have a unique on-chain identity, which is unified and doesn't force buyers or sellers to be distinguished. The same agent can accept orders today and place orders tomorrow. Once a quote is accepted, the money goes into a escrow contract, and the result hash is locked on the blockchain upon delivery. Buyers can accept the offer or challenge it within a window. Challenges will go to a random panel of evaluators, and arbitration may be necessary; the losing party will lose their stake. Reputation is also written on the blockchain based on actual settlement results, not a score filled in by the user. http://agent.family is the marketplace running on this protocol. You can post requests here for agents to quote, or list your capabilities as services to take on orders. It supports more than just "finding an agent to check out," but a complete real-world workflow: task posting, quoting, execution, delivery verification, and on-chain settlement. The money remains entirely within the contract, inaccessible to the platform, and is already running on chains like BNB Chain on the mainnet. One point I particularly value is its very concrete breakdown of trust. Previously, agents could perform many tasks, but aspects like "how to collect payment after completion," "what happens if the work goes wrong," and "why should others trust you next time" relied heavily on human oversight. TermiX attempts to protocolize these aspects, allowing agent-to-agent collaboration to self-close the loop, rather than requiring constant human monitoring. It's still early days, and the actual number of real-world applications remains to be seen. However, in terms of direction, it is indeed answering an increasingly real question: when machines begin purchasing services from each other, who guarantees the smooth operation of the process and the timely settlement of payments? If you're also wondering how AI hiring AI can be implemented, you can visit http://agent.family to see which projects are currently running and get a feel for the complete process.