Most AI models still expect you to trust their output blindly. When they hallucinate or go biased, you’re on your own. @Mira_Network flips that completely. Every AI output gets broken into smaller claims and verified across multiple independent models. Only when there's consensus, it gets approved and the result is logged onchain. No single point of failure. Just verified answers. This setup has already shown accuracy improvements from ~70% to 95%+ in real-world use cases like healthcare, finance, and research. And since it removes the need for constant human oversight, it finally makes AI usable at scale - without supervision. Mira isn’t trying to replace models. They’re building the trust layer that lets you use them safely.