That day, my friend told me that he was going to resign, and the reason was very right: "The boss is crazy, he does the work of others alone, and he likes to talk about "empowerment", "closed loop", and "building an agile team" in meetings every day."
I asked him what he was doing after he quit. He said that he plans to build an automated website, let AI write content, run affiliates, and pull a Telegram group to get subscriptions.
The era of AI as a tool man is about to turn the page. It began to become an agent that could run tasks, pull business, and sign contracts on its own. If the AI used to be an employee, the AI now wants to be the boss. And @Mira_Network is like the old Beijing Hutong who sits under the shade of the tree every day and plays chess, but if a child fights, whoever quarrels, the neighbors can't get around him.
You can't see him giving orders, but you can feel that he's always there. This position, just like Mira's "verification network", whether you are an AI employee on the chain or an intelligent agent who can run automated transactions, as long as you speak, work, and sign outside, you can't avoid Mira's "stamp" for you.
Each of the Agent Framework collaborations it recently announced looks quite complex: some are games, some are trading, and some are agent DAOs, but what they all have in common is a trusted, verifiable base. It's not that I'm afraid that AI will be stupid, it's that I'm afraid that AI will talk nonsense.
Mira, on the other hand, provides not a smarter brain, but a sense of order. Before each sentence is spoken, it must be broken down into a claim sentence and sent to the verification network. Check with other models to see if what you're saying is true. Only when you pass can you continue to go down, and if you don't pass, it's like the uncle waving his hand at the mouth of the alley: Hey, don't talk nonsense, this is not right.
This process sounds simple, but it's actually hard work. Because language generation is continuous, but validation is discrete. How do you break down a sentence into verifiable pieces? How do you make sure it's right? This is not only a game between models, but also a test of language comprehension and engineering ingenuity.
And Mira's character is also quite interesting. Instead of making the AI smarter and more versatile, it silently endorses each agent before it comes out to make sure it's not nonsense. The more AI starts to do its own work, run its own processes, and enter the organization on its own, the more it needs such a mechanism to take responsibility for it behind the scenes.
In the future, if there are a bunch of AI-powered DAOs, digital individuals with their own income, and agent collaboration between "employees" and "superiors", then we may not mention Mira every day, just like no one thinks about DNS all day long. But you know in your heart that without this seemingly inconspicuous "verification network", the AI revolution would not have been able to run at all.
@MiraNetworkCN
Ecosystem Spotlight: Agent Frameworks Layer (Part 2)
Reliable AI agents require verified intelligence. Our verification network powers the next generation of autonomous agents by ensuring their outputs are accurate, trustless, and error-resistant.
We provide the verification infrastructure that agent frameworks tap into to eliminate hallucinations and ensure autonomous operations can scale safely, without requiring human oversight.
We power agent frameworks from 👇
1. KGeN
@KGeN_IO brings proprietary gaming datasets into our verification network, enabling scalable, trustless evaluation of game-specific AI agents and mechanics. Together, we’re building the foundation for provable intelligence in gaming worlds.
2. Talus Network
@TalusNetwork is building the backbone of the Autonomous AI Economy, using our verification to support on-chain, income-generating AI agents with guaranteed reliability. Our work sets the stage for a decentralized labor force powered by agents you can trust.
3. AiCraft
@aicraftfun, a top 10 project on Monad Radar and featured by Bitcoin(.)com, is a launchpad for next-gen AI agents, now backed by our verification stack. We’re enabling the next wave of AI-native apps that prove what they do.
4. Spectral Labs
@Spectral_Labs enables users to build agentic companies and networks of autonomous agents that collaborate toward shared goals, all powered by our consensus mechanisms. This is the first step toward scalable, verifiable coordination between AI agents.
5. Phala Network
@PhalaNetwork integrates our system as an official model provider, delivering trustless inference and verifiable LLMs for its secure AI agent ecosystem. Together, we’re making private, provable AI the default across Web3.
By integrating with diverse frameworks ranging from gaming to social, from blockchain-native to multi-modal, we ensure verification travels with the agent, wherever it operates.
Stay tuned for more ecosystem deep dives!

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