A few days ago, I was chatting with a friend about the implementation of AI Agents. We discussed how they can help handle on-chain transactions and automate work tasks, but few people mention the core risks involved.

If these intelligent agents suffer from "hallucinations," giving incorrect trading advice or misjudging tasks, who will bear the losses? After all, it involves assets and real work—being smart isn't enough; reliability is the bottom line.

So I told my friend, have you overlooked a project? Mira @miranetwork happens to solve this problem. Instead of developing more advanced AI models, it positions itself as an AI "decentralized notary office."

Unlike other verification projects, it takes a model integration approach: breaking down AI outputs into verifiable points, which are then cross-verified by multiple different large models and nodes. Only results that reach consensus are recorded on the blockchain.

To ensure verification reliability, nodes must stake $MIRA to participate. If they make incorrect judgments or maliciously act, their staked tokens will be confiscated. This stake-based incentive aligns interests and gives the verification results true certainty.

It's not just a concept anymore; the already launched Klok has attracted millions of users, enabling real-time verification of AI outputs and preventing everyone from being misled by seemingly reasonable but incorrect answers.

The direction for 2026 is also clear: shifting from infrastructure building to ecological explosion. Mira Flows aims to connect Web2 and Web3 data silos, allowing enterprise-level AI applications to be deployed with one click.

The computing power node scale is expected to increase tenfold, achieving millisecond-level responses. DAO governance will also deepen, allowing developers and node contributors to share in the ecosystem's benefits.

Currently, in the first half of AI development, it's about parameters; in the second half, it's about "who is more trustworthy." Mira happens to occupy this niche.

It acts like a trust gateway between Web2 large models and on-chain Web3 execution, solving the key bottleneck for AI Agent deployment. This is also the main reason I continue to follow it. Looking forward to more progress!