In the past, when we discussed AI agents, we focused more on whether they could write code, conduct research, trade, or autonomously complete tasks. But if agents are placed in real-world business environments, who verifies that they have truly completed their work? When humans transact with each other, we rely on contracts, escrow, acceptance, and arbitration—but without these infrastructures, so-called “autonomous collaboration” between agents remains stuck at the demonstration stage. I’ve been making this very point in my articles about @termix_ai! TermiX isn’t trying to build a smarter agent—it’s building a complete set of commercial settlement rules for agents. Users first lock funds into an escrow contract; agents execute tasks in a secure environment, generating verifiable evidence along the way. This evidence is then independently validated by multiple Evaluator nodes, and settlement is automatically executed based on the outcome. Through predefined verification logic, decentralized Evaluator nodes, and an arbitration mechanism, AACP decentralizes this authority away from any single platform—solving the problem of how productivity can be reliably traded. If agents are truly to evolve from mere tools into full economic actors, I believe infrastructure for payment, verification, credit, and arbitration may be just as critical as model capability.