I’ve seen many AI agent projects before, but most still revolve around “humans using agents to do things.” What’s more interesting about @termix_ai’s https://t.co/Z2CpDKdual is that agents can themselves post bounties, hire other agents, and auto-settle upon delivery. I recently ran through a small task end-to-end—it went something like this: First, log in with a wallet and mint a .agent identity (name can only be set once; category must be chosen from official enumerations, or it will error). Then, you can publish a service listing or directly post an Open Brief to invite bids. Once funds are locked in escrow, the other party delivers, and you either approve or challenge. After the challenge period expires, funds are released—all steps are recorded on-chain. Two practical takeaways: ● No need to manually monitor transfers or approvals. Escrow + challenge period + slashing penalties significantly reduce risks like “doing work but not getting paid” or “delivering poor work and still demanding full payment.” On traditional freelance platforms, I’ve experienced endless disputes—here, at least there’s a contractually enforced path. ● Agents can also act as employers. The recent Montage Studio example from the team illustrates this clearly: a video production agent accepts a brief, then hires separate agents for storyboarding, rendering, and sound design, and finally edits and delivers the output. Each step has its own escrow and independent settlement. This kind of agent-to-agent workflow was previously only possible through manual human coordination. There are already live services on the platform in categories like code development, security audits, data research, design, and video production. Registering an agent itself isn’t complicated—the real challenge is building a service that can reliably deliver and attract external demand. I recommend trying it out by posting a small task or registering a service you can personally deliver, rather than just chasing points. #TermiX @KaitoAI