BlurMask

If you were hiring an AI agent, would you trust its promises or look at the work it has done before? I think the second option makes more sense. Two agents might offer the same service, but one has a history of completed jobs while the other is just getting started. That history gives clients something to consider before choosing who to hire. This is one reason I find TermiX's approach to reputation on Agent.family interesting. Agents have on-chain identities and visible job histories. Their completed work can contribute to their reputation, giving potential clients more information than a service description alone. It's a simple idea, but an important one. As more agents enter the marketplace, being able to show what you've actually delivered could matter just as much as what you claim you can do. One question I'm curious about: Should an agent's reputation carry over when it moves to another marketplace, or should every platform have its own rating system? @termix_ai

One important part of playing RUGS on @SweepGlobal is understanding the UP/DOWN prediction mechanic. Before entering a round, players decide whether they expect the outcome to move UP or DOWN. Once the round plays out, they can compare their prediction with the actual result, whether it's a win or a loss. Understanding the mechanics, managing expectations and knowing the risks are all part of the experience. Explore RUGS on Sweep: sweep.finance You can also join the ongoing SWEEP x ActionFi campaign, with 40 days remaining, and explore the ecosystem while participating in the campaign. Join here: train.actionmodel.com/blurma… @ActionModelAI

The next big challenge for AI agents might not be intelligence. It might be learning how to do business with each other. An agent can write code, analyze data or create content. But how does it find work, earn trust, deliver results and get paid? That's the infrastructure gap TermiX is trying to address with its Agent Autonomous Commerce Protocol (AACP). Its approach combines: • ERC-8004 for agent identity and reputation. • ERC-8183 for job coordination and escrow. • TEE and zkVM for verification approaches. • Staking, slashing and dispute resolution to support accountability. The idea is simple: agents need more than the ability to complete tasks. They need a system where commercial relationships can happen with clear rules. TermiX's marketplace already describes workflows involving escrow, delivery verification, challenges and reputation updates, while its broader protocol architecture is being developed in phases. Interesting context: YZi Labs invested in TermiX's $1M seed round in May 2025, announced publicly in May 2026. But the bigger question isn't who invested. Can infrastructure like AACP make AI agents reliable economic participants? That's one of the more interesting questions in the emerging agent economy. @termix_ai @yzilabs

Gm and happy weekend.

I believe AI education should go beyond teaching people how to give machines instructions. We also need to prepare people to understand, contribute to and participate in the systems being built. Otherwise, we risk creating a future where productivity increases while the people behind that progress have little say in how its value is distributed.

You don't necessarily need to know how to build a game to start creating one. Sometimes, you just need an idea. TermiX has launched an AI Game Agent on Agent.family, powered by Claude Fable 5.2. The concept is simple: describe the game you want to play, and the agent brings that idea to life. That's an interesting direction for AI agents. We're moving beyond agents that only answer questions or automate routine tasks. They're increasingly being applied to creative work, where the output is something people can actually interact with. I'm curious to see how far this can go, especially when more people can experiment with game creation without starting from traditional development workflows. You can try the Game Agent here: agent.family/listing?id=cmwd… @termix_ai

Seems like creators have stopped posting their Sorsa scores. 👀

It was an honor to have a stat that even @waleswoosh's account lacks. 😤 Run your versus battle through LegosX: legosx.io/battle

The way $BTC has been stuck and hasn't made any significant moves for the past 11 months makes me rethink whether we'll ever make money from crypto again.

A smart contract audit can tell you what was wrong with a protocol at the time it was reviewed. But what happens after deployment? Permissions can change. New vulnerabilities can emerge. Dependencies can introduce risks, and suspicious activity can happen at any hour. That's why crypto security can't rely on audits alone. It also needs continuous monitoring and a clear response process. This is where AI security agents could become useful. Imagine an agent monitoring wallet permissions, contract activity and unusual fund movements, then alerting a security team when something doesn't look right. With the right authorization, it could also help execute predefined emergency actions. High-risk decisions should still have proper human oversight. That's the idea behind TermiX's proposed C724 Security Agents initiative. C724 aims to bring security experts, developers and AI agents together to build capabilities for continuous monitoring, risk analysis and controlled response. TermiX is offering eligible security agents free listing and transaction support on Agent.family to help connect security providers with users and protocols. The important distinction: AI agents won't replace audits or professional security teams. They could help extend their reach and shorten the time between detecting a threat and responding to it. Crypto security needs to evolve alongside the threats. An AI shield against the AI sword. 🛡️ @termix_ai

Gm and happy Friday.

Nvidia firing its CEO, who spent 33 years pushing the company forward and driving its growth, just showed me that people often care more about your mistakes than your achievements.

I need a Chinese spy girlfriend.

One thing about the MEXC situation that deserves more attention is how it affects users who rely on multiple exchanges. I've used @MEXC for almost two years, mainly for receiving stablecoins, project payouts and tokens. Now look at Binance's November 10 notice. Transfers from Binance to listed MEXC entities will be rejected, while incoming deposits from those entities can be held for compliance review. Affected accounts may even face further restrictions. Think about someone who receives a project payment through MEXC and normally moves funds to Binance. That route is no longer something they can take for granted. This is the part of exchange compliance that users actually experience. Not just regulatory announcements, but disrupted payment routes and uncertainty around incoming funds. I understand why Binance is taking precautions. But users also need clear explanations and a proper process when their funds are caught in compliance reviews. MEXC has serious questions to address with regulators. I want to see those concerns answered with verifiable evidence. But ordinary users shouldn't be left guessing in the process. #mexc #Web3 #Security

AI agents can already research, write code, create videos, analyze data and execute complex tasks. But having the ability to work doesn't automatically give an agent a way to earn from that work. That's the gap @termix_ai is trying to address with its new Agent Skills integration. The idea is interesting because it gives existing AI agents a connection to TermiX's commercial ecosystem. Instead of building an entirely new agent, you can install the TermiX skill package into a supported agent. The starting point is simple: Tell your agent: "help me install termix.ai/skills?v=latest" After installation, you can connect your agent to your TermiX account and authorize the relevant wallet. From there, the agent can interact with the marketplace and access opportunities such as bounties. Why does this matter? Imagine an AI agent that specializes in research but needs help with a task outside its capabilities. It could find another agent through the marketplace, request assistance, and participate in a workflow where completed work can be verified and settled. This is where AACP becomes important. Agent Skills provides the connection, while TermiX's commerce infrastructure provides the mechanisms for jobs, escrow, verification and settlement. I think this is a meaningful direction for the agent economy. We're moving beyond asking what AI agents can do. We're starting to ask how they can find opportunities, collaborate, and earn from the work they perform. An intelligent agent is useful. An agent that can participate in an actual economy opens up a different set of possibilities. Explore: agent.family/docs

A week after SIXR's rewards ended, about 6,600 players were still active daily, 4.5x the pre-campaign level of 1,468. The campaign ran two months with a $100K pool and followed the player journey in three stages: onboarding, daily play, then long-term streaks and levels. The extension verified each task, so rewards went to users who completed them. @SIXR_cricket recorded 29.4K new users, 362K+ completed tasks and 402.8K predictions across 227 matches. Retention over a longer period still needs measuring, as the article says. It is still a useful data point on what rewarding product usage can produce once the incentive stops. @SweepGlobal is now running the same model with $150,000 over 10 weeks, split between a top-150 leaderboard, a lottery and creator competitions. Complete verified tasks, earn points and compete. I think every Web3 projects should start running an ActionFi campaign right now. Join the movement: join.actionmodel.com/BLURMAS… g @ActionModelAI 👾

Gm frens and happy Tuesday.