AI models are smart. The problem, however, is that they are also skilled at deception. They make up facts, misquote sources, and hallucinate with confidence. @Mira_Network is the trust layer that filters out unverified AI outputs before they reach the user. Mira verifies AI outputs through a decentralized network of independent models. Instead of trusting one model’s answer, Mira breaks it into factual claims and sends them to multiple verifiers. Only claims that meet a configurable supermajority threshold across independent models are approved. According to team-reported production data, consensus has reduced hallucinations by up to ~90% across integrated apps. If multiple independently run models agree, the odds they’re wrong in the same way are extremely low. Team-reported results show accuracy improving from ~70% to ~96% when outputs are filtered through Mira. Each verification generates an encrypted, traceable certificate (with on-chain proof) that shows which models participated, how they voted, and what claims passed. This creates a transparent and auditable record that regulators, platforms, and users can trust. Mira is infrastructure, not an app. It integrates into AI pipelines used by chatbots, fintech tools, education platforms, and more. Verification runs in the background, silently filtering out false claims before the user sees them. Verification power comes from node operators running diverse AI models. They use compute provided by node delegators, people or entities who rent GPUs to the network and earn rewards for supporting accurate verification work. Leading partners include @ionet, @AethirCloud, @hyperbolic_labs, @exa_bits, and @SpheronFDN, which supply decentralized GPU infrastructure. This spreads verification across multiple independent providers, reducing the risk that any single entity can manipulate results. Mira’s economic incentives reward honest verification. Nodes that align with consensus earn more. Those that push false or manipulated results get penalized. This aligns the network’s financial incentives with the pursuit of truth. The benefits are simple: - Catch false AI outputs before they cause harm - Reduce bias by using diverse models - Create verifiable, reproducible AI results - Remove single points of failure in trust AI adoption will stall without trust. Mira Network offers a scalable, decentralized verification layer that makes AI safer for regulated industries, critical decisions, and high-volume environments.