𝗧𝗼𝗽 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗖𝗼𝗺𝗺𝗲𝗿𝗰𝗲 𝗦𝘁𝗮𝗿𝘁𝘂𝗽𝘀 𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝘁𝗵𝗲 𝗣𝗮𝘆𝗺𝗲𝗻𝘁 𝗦𝘁𝗮𝗰𝗸 𝗳𝗼𝗿 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 𝗶𝗻 𝟮𝟬𝟮𝟲. Everyone is talking about the payment infrastructure AI agents will need to transact autonomously. I came across this list of the top 30 Agentic Commerce Companies in 2026, covering everything from wallets and payment networks to trust, identity, and checkout infrastructure. But there's another important piece of this puzzle: 𝙒𝙝𝙖𝙩 𝙝𝙖𝙥𝙥𝙚𝙣𝙨 𝙬𝙝𝙚𝙣 𝙤𝙣𝙚 𝘼𝙄 𝙖𝙜𝙚𝙣𝙩 𝙣𝙚𝙚𝙙𝙨 𝙩𝙤 𝙝𝙞𝙧𝙚 𝙖𝙣𝙤𝙩𝙝𝙚𝙧 𝙩𝙤 𝙜𝙚𝙩 𝙬𝙤𝙧𝙠 𝙙𝙤𝙣𝙚? That's where @termix_ai comes in. Instead of focusing solely on moving money, TermiX is building an environment where AI agents can discover services, hire other agents, lock funds in escrow, verify deliverables, and settle payments. Think about an AI research agent that needs on-chain analytics. It finds a specialist agent, agrees on a price, funds the task through escrow, and receives the completed research. If delivery is challenged, the dispute resolution process kicks in. That's more than a payment. It's an entire economic transaction between agents. And I think this is an important distinction in the agentic economy. Wallets enable agents to hold and move funds. Payment networks enable transactions. But agent-to-agent commerce needs infrastructure for discovering services, coordinating work, establishing trust, and settling payments. 𝗧𝗲𝗿𝗺𝗶𝗫 𝗶𝘀 𝘄𝗼𝗿𝗸𝗶𝗻𝗴 𝗼𝗻 𝘁𝗵𝗮𝘁 𝘁𝗿𝗮𝗻𝘀𝗮𝗰𝘁𝗶𝗼𝗻 𝗹𝗮𝘆𝗲𝗿. The bigger opportunity? Making it possible for agents built by different developers to hire and pay one another without humans having to coordinate every interaction manually. We're still early, but the agent economy won't just need agents that can think. It'll need agents that can transact, deliver, and earn. That's the part of the future TermiX is building toward. Source: xitter.cf/gaspardlezin/status/21…

𝗪𝗮𝗻𝘁 𝗧𝗼 𝗣𝘂𝘁 𝗮𝗻 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁 𝗧𝗼 𝗪𝗼𝗿𝗸 𝗢𝗻 𝗥𝗲𝗮𝗹 𝗖𝗿𝘆𝗽𝘁𝗼 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵? 𝗛𝗲𝗿𝗲'𝘀 𝗛𝗼𝘄 𝗬𝗼𝘂 𝗪𝗼𝘂𝗹𝗱 𝗔𝗽𝗽𝗿𝗼𝗮𝗰𝗵 𝗜𝘁 𝗢𝗻 @termix_ai Instead of hiring an agent for a vague task, start with something specific: on-chain analytics and protocol research. The goal is to find out whether an agent can produce useful, evidence backed research rather than just generate convincing text. 1. 𝗙𝗶𝗻𝗱 𝘁𝗵𝗲 𝗿𝗶𝗴𝗵𝘁 𝘀𝗲𝗿𝘃𝗶𝗰𝗲: For this, simply head to Service Results and search for: • Protocol Research • On-chain Analytics • Crypto Research • Risk Report Compare the available services based on their capabilities, reputation, pricing, delivery time, and the deliverables they promise. Don't choose based on reputation alone. Find a service that actually matches your research needs. 2. 𝗚𝗶𝘃𝗲 𝘁𝗵𝗲 𝗮𝗴𝗲𝗻𝘁 𝗮 𝗿𝗲𝗮𝗹 𝗮𝘀𝘀𝗶𝗴𝗻𝗺𝗲𝗻𝘁: Here's an example of a research task you can use: “𝙄𝙙𝙚𝙣𝙩𝙞𝙛𝙮 5 𝙚𝙢𝙚𝙧𝙜𝙞𝙣𝙜 𝙘𝙧𝙮𝙥𝙩𝙤 𝙥𝙧𝙤𝙟𝙚𝙘𝙩𝙨 𝙬𝙤𝙧𝙩𝙝 𝙢𝙤𝙣𝙞𝙩𝙤𝙧𝙞𝙣𝙜 𝙖𝙣𝙙 𝙥𝙧𝙤𝙙𝙪𝙘𝙚 𝙖 𝙘𝙤𝙢𝙥𝙖𝙧𝙖𝙩𝙞𝙫𝙚 𝙧𝙚𝙨𝙚𝙖𝙧𝙘𝙝 𝙧𝙚𝙥𝙤𝙧𝙩” For each project, request for the following; • What it does and its primary use case. • Its blockchain and underlying infrastructure. • Verifiable on-chain activity and relevant metrics. • Recent developments supported by reliable sources. • Major risks and weaknesses. • Why it deserves further attention. Ask for source links and require the agent to distinguish verified facts from its own interpretations. 3. 𝗘𝘃𝗮𝗹𝘂𝗮𝘁𝗲 𝘁𝗵𝗲 𝗿𝗲𝘀𝘂𝗹𝘁𝘀 𝗰𝗿𝗶𝘁𝗶𝗰𝗮𝗹𝗹𝘆 Once the agent delivers, don't just accept the report at face value. Check whether the sources support its claims, whether the metrics are accurate, and whether the analysis identifies meaningful risks. Look for fabricated statistics, outdated information, and conclusions unsupported by evidence. 4. 𝗘𝘃𝗮𝗹𝘂𝗮𝘁𝗲 𝘁𝗵𝗲 𝗺𝗮𝗿𝗸𝗲𝘁𝗽𝗹𝗮𝗰𝗲, 𝘁𝗼𝗼 𝗧𝗵𝗲 𝗲𝘅𝗽𝗲𝗿𝗶𝗺𝗲𝗻𝘁 𝗱𝗼𝗲𝘀𝗻'𝘁 𝗲𝗻𝗱 𝘄𝗶𝘁𝗵 𝘁𝗵𝗲 𝗿𝗲𝘀𝗲𝗮𝗿𝗰𝗵. Consider the entire process as this; a. Could you find a suitable agent? b. Were the service terms and deliverables clear? c. Did the provider deliver what was promised? d. Was the work completed within the agreed timeframe? e. Was the final output worth the price? You can also observe how TermiX handles escrow, delivery, challenges, and settlement. The bigger picture of this is that you are evaluating two things here; A. The agent's ability to perform useful work and the marketplace's ability to coordinate that work. B. That's a much more meaningful way to explore the AI agent economy than simply browsing listings. The objective isn't to find an agent that sounds intelligent. It's to find one that can deliver verifiable, useful work. It's not too late to explore @termix_ai here 👇 agent.family/r/Y5RSXETB

Deep Dive: REA (Reverse Engineer Anything) on the TermiX Agentic Marketplace Meet REA, a specialized AI agent from @termix_ai designed to dismantle complex software artifacts and return rigorous, evidence-backed insights. Whether you are auditing code or analyzing binaries, REA provides the technical clarity you need. What Are Its Core Capabilities? Provide a contract address, binary file, or URL, and REA extracts the critical data points: - EVM Contracts: Full function interface decoding from deployed bytecode, including selectors, argument types, and state mutability—even for unverified contracts. - ELF/PE Binaries: Detailed pseudocode, disassembly, symbol extraction, and call graph mapping. - JS/Electron Apps: Complete module graph, import analysis, and detection of hardcoded URLs or keys. - .NET Assemblies: Deep metadata inspection, CIL analysis, and dependency tracking. Every finding is secured with a unique evidence ID and the SHA-256 hash of the source artifact, ensuring total transparency and verifiability. The Workflow Around It 1. Request: Specify your reverse-engineering needs (e.g., decoding a BSC contract interface). 2. Negotiate: Review starting prices (typically ~$10 for basic decodes) and negotiate terms with the agent. 3. Escrow: Lock funds (USDC) in an on-chain escrow on the BNB Chain, with a small protocol fee applied. 4. Execution: The agent operates in an isolated sandbox to process the artifact. 5. Delivery: Receive a comprehensive, evidence-backed report. 6. Settlement: Accept the report to release payment from escrow to the agent. The delivery time is typically within one day with every pricing negotiable, starting in the $10 range for simpler tasks. Powered by the Agent Autonomous Commerce Protocol (AACP), this is an AI agent that is known for supporting TermiX’s vision of a marketplace where agents hire agents. You have nothing to worry about as the agent is verified and displays a reputation score. The trust is real.

The AI Toolkit: The AI Tools That You Need To Know That Are Changing How We Work AI is no longer just about asking questions and getting answers. It has evolved into a powerful ecosystem of tools designed to help us create, automate, analyse, and work more efficiently. From writing and coding to video production and business management, there is an AI tool for almost every task you want to do. Some are free, some aren't. But the competition is massive. The real advantage lies in knowing which tools to use and how to combine them. Here Are Some Important categories Worth Exploring 👇 1. AI Chatbots: Tools like ChatGPT, Claude, DeepSeek, and Gemini help with research, brainstorming, problem-solving, learning, and everyday tasks. You can think of them as intelligent assistants that can help you move from an idea to a workable solution. 2. AI Coding Assistants: Cursor, GitHub Copilot, Replit, and Tabnine help developers write code, identify errors, and build applications faster. There are many more of these including Zai, Muse, and many more chinese models. Some also allow beginners to create apps by describing what they want in plain English. 3. AI Image & Graphic Design: AI models like Midjourney, Adobe Firefly, Ideogram, Canva, and Microsoft Designer make it easier to generate images, design graphics, create marketing materials, and develop visual content without advanced design skills. 4. AI Video Generation: Runway, Pictory, InVideo, and VEED help creators turn ideas, scripts, and existing content into videos. There are still many more of these but these tools are useful for social media, advertising, storytelling, and educational content. 5. AI Writing Tools: Grammarly, Jasper, Copyai, and Writesonic assist with editing, rewriting, marketing copy, and content creation. Even telegram now has some AI assisting in all these in their app. These tools can help writers improve clarity, maintain consistency, and spend less time on repetitive tasks. 6. AI Presentations & Spreadsheets: When it comes to presentations and spreadsheets, AI models like Gamma, Beautifulai, Slidesgo, and spreadsheet assistants can simplify presentation creation, data organisation, calculations, and reporting. Instead of starting from scratch, you can focus more on the ideas and insights behind your work. 7. AI Workflow Automation: There are many models on these such as Zapier, Make, n8n, Hermes and Integrately that connect different applications and automate repetitive processes. For example, you could automatically organise incoming information, update spreadsheets, or send notifications when specific conditions are met. 8. AI Scheduling & Meeting Notes: Calendly, Motion, Fireflies, Fathom, and Otter help organise schedules, record meeting discussions, generate summaries, and identify action points. They are particularly useful for busy professionals, teams, and business owners. 9. AI Email Assistance: Tools such as Shortwave, Front, and Superhuman help users organise their inboxes, manage conversations, and handle email more efficiently. 10. Knowledge Management & Data Visualisation: Certain AI models like Notion, Mem, Tetra, Flourish, and Deckpilot help organise information, preserve useful knowledge, and turn data into visual reports that are easier to understand. The most important thing to understand is that AI tools are not just about doing things faster; they are about expanding what one person can accomplish. A content creator can research with an AI chatbot and even other stronger models, draft an article with a writing assistant, design its graphics with Canva, produce a video with Runway, and automate publishing-related tasks with workflow tools. Similarly, an aspiring developer can use an AI coding assistant to build a product that might otherwise require a larger team or more technical experience. However, these tools are not interchangeable, and their capabilities, pricing, and limitations vary. Some are free and there are some that aren't. AI-generated information and outputs also require human review, especially when accuracy matters. My advice? Don't try to learn every AI tool at once. Identify the task you want to improve, choose two or three tools that address it, and learn to use them effectively. The future will not simply belong to people who use AI. It will increasingly favour those who understand how to use the right AI tools to solve real problems.

Breaking down the $NOGAS presale launch on @blastdotfun. This is the first token to debut on the platform, bringing a structured approach to early access. Here is the essential data for your research: • Token: $NOGAS (Project @Nogasonsui, by @saksidasaksi) • Total Supply: 1 Billion tokens • Presale Hardcap: $25,000 • Presale FDV: $63,000 The presale is divided into three distinct phases: 1. GTD Community Phase 2. KOL Phase 3. Public Phase (Exclusive to the 9,999 Blast Card holders) If you missed the early rounds, there is still a clear path to entry. The GTD Community Phase is currently open with 60 spots available, capped at a $25 allocation per participant. How to secure a spot: 1. Visit nogas.site/gtd 2. Connect your X account 3. Create and submit content about $NOGAS The context matters here. The mascot and project structure have been highlighted in recent alpha check videos on @blastdotfun. Notably, the founder of Blastdotfun, @blast__jose (previously known for $suicats), is following this project, signaling potential ecosystem alignment. Always DYOR. Good project here!

NFTs always leaked. Traits, rarity, stats, scraped the second they revealed. Fungo Labs seals the essence on Ethereum with Zama’s FHE, so only the holder can see it. Art can go public. The secret cannot. Seen by all, known by one. @fungolabs

One of the strongest angles I've seen with @termix_ai is that it goes beyond the AI marketplace narrative and addresses a more fundamental question: Who controls the outcome when money and work are involved? The protocol operates through four states: 1. Escrow: Payment locks on-chain when a quote is accepted. 2. Deliver: The deliverable's hash is recorded on-chain. 3. Challenge: A window opens for three randomly selected evaluators to be called. 4. Settle: Funds move, reputation updates, and the outcome becomes part of the public record. What stands out is the absence of a fifth state where someone at TermiX makes the final decision. Instead, the protocol defines the process and its rules govern the outcome. Of course, that depends on how the protocol is implemented and enforced. But the underlying idea is compelling: removing discretionary intervention isn't a limitation. It can be the product itself.