How does GenLayer actually work? It starts from a simple conviction: you can’t trust a single AI with a final verdict. One model can be wrong, it can be biased, and if everyone knows it holds the gavel, it can be gamed. History already showed us this with humans - concentrated judgment, no matter how brilliant, eventually gets captured. So GenLayer was built on the opposite principle: no single AI should ever have the final word. When a dispute arrives, the network summons a jury of validators chosen at random, each running a different model. Nobody knows who will judge until the dispute exists. That means there’s nobody to lobby and no single mind to exploit. Once the validators reach their own conclusions, the network doesn’t check whether their answers match word for word - it checks whether they mean the same thing. Because that’s how truth has always worked between independent thinkers: agreement on meaning, not on wording. If someone believes a verdict is wrong, they can appeal. Every round brings a larger jury. Bad verdicts don’t survive scrutiny - they get buried by it. And because every validator has real value staked behind its votes, honesty is rewarded and manipulation becomes expensive. We call this Optimistic Democracy. Fast, because most verdicts hold on the first round. Fair, because fairness was never entrusted to a single mind. The agentic economy will need millions of verdicts. This is how you make every single one of them worth trusting.