Build & Think Computationally with AI
- Date
- 2026-03-27
- Host
- Fydemy
About this event
AI is changing how we build, but the bigger shift is in how we think. This meetup is for people who want to move past surface-level prompts and start developing a more computational approach to working with AI: breaking problems down clearly, designing better workflows, and understanding how autonomy actually fits into real projects. If you are curious about building with AI but want sharper mental models, better conversations, and a room full of people asking serious practical questions, this event is built for you. Expect a grounded, in-person evening focused on ideas you can use, people you will want to keep talking to, and a community that cares about both experimentation and clarity. About the Event This is an in-person meetup centered on AI, autonomy, and computational thinking. The goal is simple: create a space where builders, operators, curious technologists, and thoughtful newcomers can explore how AI changes the way we approach problems, products, and decision-making. Rather than treating AI as a magic layer on top of existing work, this event looks at what it means to think more structurally. That includes how to frame tasks for AI systems, where human judgment still matters most, and how to design processes that are useful, testable, and repeatable. You should expect a meetup format that blends conversation, shared learning, and community connection. It is designed to be approachable if you are still figuring out your entry point, while still being valuable for people already building or experimenting with autonomous tools and AI-assisted workflows. The emphasis is on substance over hype. That means practical discussion, honest questions, and a chance to connect with others who are actively exploring what AI can do in the real world, not just in theory. What to Expect The evening will likely move through a mix of structured and informal moments so attendees can both learn and connect. You can expect a format that supports discussion, idea exchange, and meeting people working on adjacent problems. Possible elements of the meetup include: A welcome and framing of the theme: what it means to build and think computationally with AI Short talks, prompts, or guided discussion around autonomy, tooling, workflows, and decision-making Open conversation about how people are actually using AI in projects, work, or side experiments Time for networking with others interested in AI, systems thinking, and community-driven learning This is not just a passive sit-and-listen session. The value comes from being in the room: hearing how other people are approaching similar questions, comparing mental models, and testing your own assumptions about what AI is good at and where it still needs strong human direction. Because the event is in person, there is also space for the kind of interaction that is hard to replicate online. Side conversations, follow-up questions, and spontaneous collaboration often become the most useful part of a meetup like this. Why Attend If you have been using AI casually and want to level up, this meetup offers a better lens. Computational thinking helps you move from vague experimentation to clearer systems: how to decompose a task, specify constraints, evaluate outputs, and build repeatable workflows instead of one-off wins. If you are already deeper in the space, the benefit is different but just as useful. You get a chance to compare methods, pressure-test assumptions, and hear how others are thinking about autonomy, orchestration, and the tradeoffs involved in handing more responsibility to AI systems. You may leave with: Better language for discussing AI beyond trends and headlines A stronger framework for deciding where AI fits into your work New ideas for building tools, workflows, or experiments more intentionally Connections with people who are serious, curious, and worth staying in touch with A clearer sense of what computational thinking looks like in practice This meetup is also valuable because community matters in a fast-moving field. It is easier to learn quickly when you are around people who are actively testing ideas, sharing what works, and being honest about what does not. Practical Details This event takes place in person on Friday, March 27 at 8:00 PM GMT+8. Being there physically is part of the point: the format is built around direct conversation, live exchange, and the kind of networking that happens naturally when people are thinking through big questions together. The late-evening timing makes this a good fit for people coming after work, classes, or daytime commitments. It is designed as a meetup atmosphere rather than a formal conference setting, so expect something social, idea-driven, and conversational. A few useful things to keep in mind: Come ready to talk about how you are using, exploring, or questioning AI You do not need to be an expert to get value from the event If you are building something, thinking through a problem, or looking for collaborators, this is a good room to be in If networking matters to you, plan to stay long enough for real conversations rather than just dropping in If you care about AI not just as a tool but as a new way of structuring work and thought, this meetup will feel relevant. It is a place to sharpen your thinking, meet people who are asking better questions, and spend an evening in a community focused on building with intent.
Who should attend
This is for people who want a smarter, more practical relationship with AI and who enjoy learning through conversation with others. - You are building with AI already and want better frameworks for structuring tasks, workflows, or autonomous systems. - You are AI-curious but tired of vague hype, and you want an in-person space where people talk honestly about what is useful, what is difficult, and what still requires human judgment. - You think in systems, products, operations, research, or processes, and you want to understand how computational thinking can improve the way you work. - You enjoy meetups where networking is not random small talk but a chance to meet people exploring similar questions, tools, and ideas. - You have a project, experiment, or problem in mind and would benefit from hearing how others break down complexity and approach AI more intentionally. - You value community and want to be around thoughtful builders, professionals, and learners who are taking AI seriously without making it feel inaccessible. If that sounds like you, you will likely leave with better questions, useful connections, and a clearer sense of how to build and think more effectively with AI.