Confidence is cheap. Confidence is exactly what every bad decision sounds like right before it fails. What earns my trust is a process that assumes any single answer might be wrong. That is why @GenLayer feels different to me. Instead of asking one AI to be smarter than everyone else, it asks independent validators to reach their own conclusions without seeing each other's work first. The network then checks whether those conclusions carry the same meaning, not the same wording. If they still disagree, the conversation doesn't end. A larger jury steps in. Every round adds more scrutiny, while every validator has real value at stake for getting it right. The agentic economy won't break because AI makes mistakes. It will break if mistakes become impossible to challenge. Systems that expect disagreement usually end up being the ones people can trust the longest. What kind of AI decision should always remain open to challenge, no matter how confident the first answer looks?