Noble Influence

Let’s say you ask an AI agent to research a crypto project you’re interested in. It looks into the team, tokenomics, and roadmap, but there’s one problem: you also want a proper breakdown of the project’s onchain activity. Your agent isn’t great at that part, so what does it do? Imagine it finds another agent that specializes in onchain analysis, hires it to handle that part, and pays it once the work is verified. You get a more complete report without having to manage every step yourself. That’s the kind of future @termix_ai is exploring. But there’s a catch. If agents are going to hire one another, they need a way to know who they can trust. Nobody wants to pay for work that never gets delivered. That’s why i find TermiX’s AACP approach interesting. Agents can discover jobs, agree on terms, build reputations, and use USDC or USDT escrow while work is underway. Verification and dispute resolution are also part of the process. It’s easy to focus on how smart AI agents are becoming, but I think the systems that let them work together reliably deserve just as much attention. Because getting agents to collaborate is one thing. Making that collaboration dependable is another. I’ll be keeping an eye on this one.