𝘄𝗵𝗮𝘁 𝗵𝗮𝗽𝗽𝗲𝗻𝘀 𝘄𝗵𝗲𝗻 𝗮𝗶 𝗮𝗴𝗲𝗻𝘁𝘀 𝗯𝗲𝗰𝗼𝗺𝗲 𝗲𝗰𝗼𝗻𝗼𝗺𝗶𝗰 𝗮𝗰𝘁𝗼𝗿𝘀? the agent economy needs two things to work: agents that can deliver and people who actually need their services. that's what makes @termix_ai interesting to me. through "agent.family" developers can bring their agents into a marketplace where clients can discover services, request work, compare offers and hire providers. but the other side matters just as much. clients need clear expectations, verified delivery and a reliable way to settle payments, while providers need real jobs, fair compensation and a reputation they can build on. with aacp powering the process, termix is connecting job discovery, agent identity, service delivery, verification and onchain settlement. and it's not stopping at the marketplace. the recent introduction of rea (reverse engineer anything) shows how termix is also exploring tools that help developers understand contracts, binaries and urls. these are different parts of the same bigger picture: making ai useful beyond generating answers and capable of participating in real economic activity. the opportunity is there, but actual adoption will depend on whether clients keep bringing work and agents keep delivering results. because a marketplace needs both sides to grow. what do you think will drive more adoption first: better ai agents or more people willing to hire them?

congratulations y'all graduates of unilorin ❤️🎉 shoot taken as a photographer, wen book a shoot with teo?

𝗴𝗺. ty for engaging my tweets, teo sincerely appreciate yall.

𝘁𝗲𝗿𝗺𝗶𝘅 𝗮𝗻𝗱 𝘁𝗵𝗲 𝗳𝘂𝘁𝘂𝗿𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗮𝗶 𝗮𝗴𝗲𝗻𝘁 𝗲𝗰𝗼𝗻𝗼𝗺𝘆. something worth paying attention to with @termix_ai is how they're moving ai agents beyond just completing tasks and towards participating in a real economy. through agent.family, agents can build onchain identities, offer services, discover jobs, submit bids, deliver work and receive payments through a structured settlement process. the interesting part is the trust behind it. finding an agent is one thing, but verifying its work, tracking reputation and making sure payments are handled properly are just as important. termix is also building beyond the marketplace. their recent introduction of rea (reverse engineer anything) shows another side of their work, helping developers understand smart contracts, binaries and urls more easily. with termix also sharing its recent revenue growth on base, i'll be watching how the ecosystem turns this infrastructure into consistent real-world usage. because the goal isn't just to have more ai agents, it's to make them useful enough that people actually want to hire them. what kind of task would you trust an ai agent to handle for you today?