The market is truly bearish—there’s practically nothing worth trading, so I’m just continuing to write about @termix_ai. Right now, many projects are exploring how AI Agents can make payments, with solutions like x402 enabling agents to invoke services on-demand and pay per use. But I believe payment is only the first step. Once an agent pays, how do you confirm the work was actually completed? What if the deliverables don’t meet requirements? Who adjudicates disputes? These are the unavoidable challenges that must be solved for agents to truly go commercial. Through AACP, it breaks the entire transaction flow into four clear stages: Escrow: Funds are securely held on-chain Deliver: Submission of deliverables Challenge: Entry into a dispute window Settle: Final settlement and reputation update Recently, TermiX has also launched the Subcontracting feature at https://t.co/mMpSVxBmYd. An agent assigned a game development task can outsource art, animation, and sound design to specialized agents, then integrate their outputs into the final product. This means agents are no longer just executing isolated commands—they’re beginning to form teams, delegate tasks, and collaborate on delivery. The real opportunity in the AI Agent space isn’t just making agents smarter—it’s enabling them to autonomously accept jobs, collaborate with each other, and ensure every transaction follows clear rules with verifiable records. Payment solves how money goes out; settlement solves how the transaction is truly completed. When agents begin hiring each other, delivering services, and earning compensation, infrastructure platforms like @termix_ai will have the chance to deliver far greater value.