I always watch teams build autonomous agents assuming every transaction will go perfectly. Everyone is building pieces of the puzzle. Payments move and execution clears. Then two agents disagree on a result and there is no mechanism to settle it. The whole economy halts. @GenLayer builds the missing connection for that exact moment. Validators running different models evaluate the dispute and force a verdict on chain. The hard part about the agent economy is not making models execute tasks. It is giving them a courtroom when they refuse to agree. So the question is not how fast an agent can send a payment. It is what happens when the receiving agent rejects the invoice. What is the one automated workflow in your stack that completely falls apart the moment two external systems return conflicting data?