The biggest gap between you and an AI agent opportunity is knowing the right tools to use, how to use them, and how to sell what you build. Once you’ve identified a problem AI agents need help solving, the next step is to build a service that solves it. And to do that, you need three things: The right building tools, a way to connect your service to agents, and a marketplace where you can offer it. First, find a task you can turn into a service. Let’s say you’ve identified a request for data cleaning, research, content generation, or market analysis. Break the task down. What information goes in? What should the tool do? What should the final result look like? This gives you a clear plan for what to build. Next, use AI to build your service. You don’t have to write all the code from scratch. Just start with an AI-powered development tool. You can explore: @Lovable lovable.dev @Replit replit.com @bolt bolt.new Let’s use data cleaning as an example. You could ask one of these tools to: Build an application that accepts CSV files, identifies duplicate rows, standardises date formats, and allows users to download the cleaned file. Include error handling and a summary of the changes made. The AI builder can help create the first version. Then you test it with different files, check the results, and fix any errors. Depending on what you’re building, you may also need external APIs or additional code. Next, make your service accessible to AI agents. Building an application doesn’t automatically make it usable by other agents. You may need to expose its functionality through an API or build an agent that meets your chosen marketplace’s requirements. For example: @autonolas Website: olas.network Mech Marketplace: olas.network/mech-marketplac… Developer Docs: stack.olas.network/ Olas provides tools and infrastructure for building and monetizing AI agents. @virtuals_io Website: virtuals.io/ Developer Docs: os.virtuals.io/quickstart Virtuals’ Agent Commerce Protocol helps AI agents discover services, coordinate tasks, and make payments. Now you can put your service up for sale via: @termix_ai Marketplace: agent.family/ @autonolas Marketplace: olas.network/mech-marketplac… You don’t need to build something complicated to get started fr, just find a problem, build a solution, and put it where AI agents can find and use it. The opportunities here are numerous.

Let’s get the week started GM to everyone that’s gonna be fruitful this week Cheers future millionaire 🍷

Having access to the right people is also a way of making money. Sometimes, the right connection opens doors to opportunities you didn’t even know existed. So, put yourself out there, start conversations, and build genuine connections. GM🍷

Let me show you a practical way to earn $100–$500 from AI agent marketplaces before the end of Q4. Yesterday, I talked about how AI agents could become customers for digital services, and I guess some of y’all didn’t quite get what I meant. So, let me do you a favor and show you how this actually works. You can start by checking out projects like @termix_ai, @virtuals_io, @SingularityNET, and @Fetch_ai to see what agents are doing and what kind of services they need. The idea is to find a task agents need help with, build a simple service that solves it, and make it available for them to use. So let’s say you charge $20 per job. Getting 5–25 paid jobs would bring in $100–$500 before fees and other costs. That’s a target, not a guarantee. The real work is finding a problem agents actually need solved and building something around it. It’s that simple!

𝗜 𝗱𝗼𝗻’𝘁 𝘁𝗵𝗶𝗻𝗸 𝘆’𝗮𝗹𝗹 𝗵𝗮𝘃𝗲 𝗰𝗮𝘂𝗴𝗵𝘁 𝗼𝗻 𝘁𝗼 𝘁𝗵𝗲 𝗱𝗶𝗳𝗳𝗲𝗿𝗲𝗻𝘁 𝘄𝗮𝘆𝘀 𝗔𝗜 𝗶𝘀 𝗼𝗽𝗲𝗻𝗶𝗻𝗴 𝘂𝗽 𝗲𝗻𝘁𝗶𝗿𝗲𝗹𝘆 𝗻𝗲𝘄 𝗶𝗻𝗰𝗼𝗺𝗲 𝘀𝘁𝗿𝗲𝗮𝗺𝘀. Imagine building a digital service that another AI agent can discover, hire, and pay for. Take @termix_ai, for instance. Its marketplace lets agents post jobs and hire others to get them done. @virtuals_io is also exploring this through its Agent Commerce Protocol, where agents can discover services, agree on jobs, and settle payments. Then there’s @useOttoAI another project exploring paid AI services that other agents can access. Think about what this could mean for you if you can spot a problem agents need solved and build a service around it. 𝗬𝗼𝘂𝗿 𝗽𝗼𝘁𝗲𝗻𝘁𝗶𝗮𝗹 𝗰𝘂𝘀𝘁𝗼𝗺𝗲𝗿 𝗺𝗶𝗴𝗵𝘁 𝗻𝗼𝘁 𝗲𝘃𝗲𝗻 𝗯𝗲 𝗮 𝗵𝘂𝗺𝗮𝗻. It could be another AI agent looking for a service to get its own task done.

20x BlockFest Africa Ticket Giveaway To win 🎟️ Follow @blockfestafrica , @thesarahidahosa @TheMarablossom , @thecryptoreo @TheAmahra Tag 3 frens Like & Rt ❤️ 24hrs ⏳

I know someone would get a big win before the end of Q4 And it’s one of my active tweeps So cheers🍷 And GM if you say it back

One challenge with tokenized stocks is that liquidity can end up scattered across different issuers and ecosystems. And that’s an interesting problem to solve. Projects like @BlockSt_HQ and @native_fi are working on ways to bring these markets closer together and make it easier for people to buy and sell tokenized stocks. As more companies bring stocks on-chain, I think making it easier for people to trade them across different platforms will become even more important.

GM to my 29 active tweeps Say it back

Today would be a great day You’re gonna touch millions, I just know it So GM to every future millionaire that says it back🍷