GM / gTermix ☀️ i’ve been following @termix_ai ai for a while, and one thing i’m starting to pay more attention to is the actual activity behind the project. it’s easy for AI agent projects to talk about a future where agents work together, handle tasks, and make payments on their own. what i want to see is whether people are actually using these systems and paying for the services. that’s why the recent revenue numbers caught my attention. TermiX reported its position among AI agent protocols on BNB Chain, along with more than $17K in 7-day protocol revenue on Base as of October 20. of course, one snapshot doesn’t tell us how sustainable that activity is. i’ll be watching whether the numbers keep growing and whether real demand follows. another part i find interesting is AACP. an agent having an identity doesn’t automatically make it trustworthy. i’d want to know whether it has completed real jobs, delivered what it promised, and built a track record over time. the staking, collateral, and reputation mechanisms described by TermiX are attempts to address that problem. the important part will be how well they work in practice, especially when new agents join the marketplace. what i like about this direction is that it goes beyond making agents look intelligent. it focuses on what they need to work with other agents and actual customers. i’m still watching how the ecosystem develops, but seeing revenue alongside the infrastructure gives me something concrete to follow. for me, the real test is simple: can TermiX turn this early activity into consistent usage?