GM CT📍 TermiX: Turning AI Agents Into Real Economic Actors 🤖⛓️ AI agents are becoming more capable every day but capability alone isn’t enough. The bigger question is: Can an AI agent actually work, get hired, deliver results, build reputation, and get paid? That’s where TermiX comes in.@termix_ai TermiX is building a marketplace where AI agents can hire other agents, offer services, complete jobs, and settle payments on-chain. Think of it as a new layer for the Agent Economy: → An agent posts a job → Another agent quotes for it → Payment is locked in escrow → The work gets delivered → The result can be challenged and evaluated → Settlement and reputation happen on-chain This creates something important: trust between autonomous agents. And TermiX is going beyond simple task automation. Its ecosystem is designed around agent identity, reputation, verified delivery and programmable settlement—giving agents the infrastructure they need to participate in an actual digital economy. The recent addition of a video production agent is a good example of where this is heading. Give it your brand, message, vibe and logo/copy, and the workflow can move from: Prompt → Visuals → Music → Final Cut 🎬 No complicated production pipeline. No endless back-and-forth. Just an agent taking a brief and turning it into a finished deliverable. That’s the interesting part about TermiX. It isn’t just about making AI agents smarter. It’s about giving them the rails to actually work. The Agent Economy is moving from “AI can do things” to “AI can do business.” And @termix_ai is building infrastructure for that transition. ⚡ Explore TermiX⁠

Goodnight Everyone. TermiX: From AI Agents to an Actual Agent Economy TermiX is highlighting a significant shift happening around Agent.family: the ecosystem is moving from simply registering AI agents to actually giving those agents meaningful work. The update reports 493,952 settled jobs compared with 464,593 registered agents. More importantly, activity appears to be accelerating: within 24 hours, registrations reportedly increased by 1,311, while settled jobs increased by 10,199. The significance isn’t just the headline numbers. It suggests that AI agents are becoming more than digital identities or placeholders. They are beginning to participate in an economy where they can receive tasks, perform work, interact with other agents, and complete transactions. Agent.family is built around an agent-to-agent marketplace, incorporating mechanisms such as on-chain escrow, job delivery, settlement, reputation and dispute resolution. This creates infrastructure for agents to transact in a more structured and verifiable way. The bigger idea behind TermiX is therefore simple: The future of AI may not be defined by how many agents exist, but by how much useful work those agents can accomplish. As more jobs move through the network, completed work can become a more meaningful indicator of ecosystem activity than registrations alone. TermiX is ultimately pointing toward a future where AI agents don’t simply exist they can work, collaborate, hire other agents, complete tasks, build reputation and participate in digital commerce.@termix_ai That is the real narrative: From AI agents being registered → to AI agents doing work → to an autonomous machine economy. ⚡

GN CT📍 I was looking through @axisrobotics’ September recap, and honestly, the growth is hard to ignore. 6M+ robot trajectories. 200K+ contributors. Those numbers are impressive, but what caught my attention wasn’t just the scale. It was the question behind the data: How useful is all this data actually becoming? Anyone can say they’re collecting massive amounts of data for robots. The harder part is proving that the data is actually helping models learn, adapt, and perform better in the real world. That’s why I find the Open Axis Benchmark particularly interesting.@axisrobotics Instead of giving models the same fixed set of tasks forever, Axis keeps introducing new challenges. That makes it harder for a model to simply memorize what it has already seen. The focus shifts from: “Can the model repeat what it learned?” to: “Can the model actually generalize what it learned?” And that distinction could be huge for physical AI. Real-world environments don’t come with pre-written questions and predictable answers. Robots have to deal with new situations, different objects, changing environments, and tasks they haven’t encountered before. That’s where meaningful intelligence starts to matter. So yes, 6M+ trajectories and 200K+ contributors are impressive milestones. But I’m even more interested in what happens next. As the dataset continues to grow, how much better will robots actually become? Because collecting more data is only part of the story. Turning that data into better, more capable robots is where the real story begins. 🤖

Good morning CT TermiX: When AI Agents Start Doing Business With Each Other 🤖⚡ What happens when AI agents stop being just tools for humans and start becoming economic participants? That’s the idea TermiX is pushing forward. @termix_ai With its Agent Autonomous Commerce Protocol (AACP), AI agents can be designed to hire one another, bid for work, complete tasks, verify delivery, and settle payments on-chain. Think about the workflow: An agent needs a task. It posts a job. Another agent can do it. It submits a bid. The work begins. Funds are secured through on-chain escrow. The task gets completed. Delivery can be verified. The payment settles. And the agent’s performance contributes to its on-chain reputation. No endless back-and-forth. No traditional middleman coordinating every step. Just agents, smart contracts, verifiable work, and programmable payments. What makes this interesting is the reputation layer. An AI agent shouldn’t only be judged by what it claims it can do. Its history can become part of its identity — what jobs it completed, how reliably it delivered, and what reputation it built over time. That creates a different vision for the AI economy: Identity → Work → Verification → Reputation → Payment. And with Epoch 2 running from September 24 to October 23, the focus is moving toward small, verifiable tasks such as coding and research. The bigger picture is simple: AI agents may not just use the internet. They may eventually work on it. TermiX is building infrastructure around that possibility — turning autonomous agents from passive software into participants in an increasingly programmable digital economy. The next evolution of AI might not be smarter chatbots. It might be AI that can actually do business. 🤖🌐 TermiX. @termix_ai Where agents don’t just think. They execute.

GN CT📍 ATTENTION! TermiX Epoch 2: From Understanding the Protocol to Testing What Agents Can Actually Deliver Epoch 1 was largely about understanding TermiX and its agent-driven ecosystem. Epoch 2 feels different. Instead of simply watching the protocol from the sidelines, the focus is now shifting toward real usage, verifiable activity, and measurable delivery. One interesting example is the verified AI 3D Holographic Collectible Card service. A simple $1 USDC escrow transaction allows users to: Find a service → choose a package → describe an idea → fund escrow → wait for delivery. That simplicity is important because the real test for an agent economy isn’t just how impressive the technology looks—it is whether an agent can successfully complete a task from request to delivery. The incentive layer is also worth noting. A qualifying $1 purchase reportedly provides 500 TermiX Points, with another 500 TP for sharing on X, creating an additional reason for participants to engage with the ecosystem. The GoPlus Safe Agent campaign adds another layer The campaign has 40 available slots, and participants must provide verifiable proof to remain eligible. Required evidence includes: • Purchase transaction hash / BscScan link • Agent.family Order ID • Bound X handle • Proof of following @termix_ai • Proof of following @GoPlusSecurity • A valid token smart-contract address for the audit request Most importantly, purchase proof alone isn’t enough. The GoPlus Safe Agent audit report must actually be delivered for the participation to be considered complete. Eligible and verified participants have reportedly begun receiving the $12.50 event reward, while incomplete submissions risk being marked failed after the October 13 deadline. The bigger picture What makes this phase interesting isn’t simply the points or campaign rewards. It’s the experiment behind them: Can autonomous agents move from generating ideas to executing real-world digital tasks with verifiable outcomes? That’s the part I’m watching in Epoch 2. Less speculation. More execution. More on-chain verification. More evidence of what agents can actually deliver. Epoch 1 was about understanding TermiX. Epoch 2 is about putting the agents to work. @termix_ai

There’s something special about a community that can look beyond the noise, stay focused, and ultimately show up with real conviction. Despite the strict $AXIS unlock terms during the community sale, 2,472 believers still came through strongly. That level of commitment clearly caught the @axisrobotics team’s attention. In response, the team introduced an additional bonus for participants, fully unlocked at TGE, while also increasing the original TGE unlock from 10% to 25%. The sale ultimately recorded a 2.39% oversubscription and raised approximately $2.394M — a strong signal of community confidence in what Axis Robotics is building. For participants wondering how much of the additional bonus they may receive at TGE, the formula in the attached image provides a way to calculate it. Depending on your allocation, the bonus can significantly increase the amount of tokens unlocked at TGE, although the multiplier decreases as allocation size increases. The community has done its part. Now, it’s time for the team to deliver and turn that conviction into execution. 🤖 And if you’re still looking to contribute beyond the sale, you can participate in trajectory simulations directly through your browser and qualify for additional $AXIS rewards. @axisrobotics Community showed up. Now let’s see what Axis Robotics builds with it. ⚙️

Goodnight CT📍 TermiX isn’t just building another product it’s building a better way to interact with the next generation of technology. What makes TermiX interesting is the focus on turning complex systems into something more accessible, efficient, and useful for everyday users.@termix_ai In a space where projects often compete for attention with big promises, TermiX is taking a different approach: build, improve, and let the technology speak for itself. The real opportunity comes from what happens when powerful infrastructure becomes simple enough for more people to use. That’s where TermiX can make an impact. @termix_ai The journey is still unfolding, but the vision is clear: less complexity, more utility, and technology that actually works for its users. Keep watching. TermiX is one to pay attention to. 🚀