Build AI Agents on OpenAI | TGB x OpenAI
- Date
- 2025-12-12
- Location
- Take lift to L4, Singapore, Singapore, Singapore
- Host
- The Generative Beings
About this event
If you want to move beyond AI demos and start building agents that can actually take action, this session is built for you. Build AI Agents on OpenAI | TGB x OpenAI is an in-person gathering in Singapore focused on how modern agent workflows are designed, built, and used in practice. Expect a hands-on, builder-first environment where the conversation stays close to the work: tools, systems, tradeoffs, and what it really takes to make AI agents useful. Whether you are experimenting with your first autonomous workflow or looking to sharpen how you build with OpenAI, this event is designed to help you turn curiosity into implementation. You will be in the room with people who are actively thinking about the same questions: how to structure agents, when autonomy helps, where it breaks, and how to create something reliable enough to matter. About the Event This event brings together the energy of a community meetup with the focus of a practical build session. It is centered on AI agents: systems that do more than generate text, and instead plan, call tools, reason through tasks, and operate across steps toward a goal. The format is in person, which matters for this topic. Agent building gets clearer when you can ask direct questions, compare approaches with other builders, and work through implementation decisions in real time. If you have been learning online but want a more grounded discussion, this setting makes that possible. You can expect the event to sit at the intersection of applied AI, product thinking, and technical experimentation. It is not just about what agents are in theory, but how people are using OpenAI to build them in ways that are structured, useful, and worth continuing after the event. Because this is a TGB x OpenAI session, the framing is likely to be especially relevant for people who want to build with current tools rather than talk about AI at a distance. The focus is on making progress, seeing patterns, and learning from practical examples and community conversation. What to Expect Expect a session that is structured enough to be useful and open enough to encourage real discussion. The core of the event is likely to revolve around how AI agents are designed, what components they need, and how to think about building them in a way that is both ambitious and workable. Across the event, you can expect conversation around topics like: What makes an AI agent different from a basic prompt-response application How agents use tools and workflows to complete multi-step tasks Where autonomy is genuinely valuable and where simpler systems may be the better choice How to think about reliability, guardrails, and evaluation when an agent is acting across steps Patterns for turning a prototype into something more durable Because the event is tagged with ai, build, gen-ai-labs, autonomy, and community, you should expect a builder-oriented atmosphere rather than a purely introductory talk. That does not mean you need to arrive as an expert; it means the session is designed to be useful to people who want to make things, test ideas, and learn by getting closer to the mechanics. You may also find value in the informal parts of the event: the conversations before, during, and after the main session. In-person gatherings often unlock the most practical insights through side discussions about current projects, roadblocks, stack choices, and lessons from experiments that did not go as planned. Why Attend If you are serious about building in AI right now, understanding agents is increasingly important. A lot of people are talking about autonomous systems, but there is a big difference between hearing the term and understanding how to apply it responsibly. This event helps close that gap. You will leave with a clearer sense of how agent-based systems are approached today, what problems they are well suited for, and how to think about the balance between capability and control. That clarity can save time, reduce avoidable mistakes, and help you make better decisions in your own projects. This is also a strong event for meeting peers who are actively building. The value is not only in the formal content, but in being around people who are testing ideas, shipping prototypes, and asking sharper questions. If you have been working in isolation, that alone can make attendance worthwhile. Attending in person also gives you a better chance to engage deeply with the material. You can ask follow-up questions, compare notes with others, and turn abstract interest into concrete next steps. For builders, product teams, and technically curious operators, that is often where the real payoff happens. Practical Details Date: Friday, December 12 Time: 3:00 PM GMT+8 Location: In person at Take lift to L4, Singapore, Singapore This is an in-person event, so plan to arrive with enough time to get settled before the session begins. Since the location note specifies Take lift to L4, make sure you head to the correct level on arrival. A few useful ways to prepare: Come ready to learn and discuss, not just listen passively If you are already building, bring your current questions or sticking points If you are new to agents, think about a workflow or product idea you would like to explore Be prepared to network with other attendees working across AI, product, and experimentation This event will likely be most valuable if you treat it as a working session for your own thinking. Arrive curious, stay engaged, and use the room well. If AI agents are on your roadmap, this is the kind of event that can help you move from broad interest to sharper execution.
Who should attend
This is for people who want practical clarity on AI agents and want to build with others who are actively exploring the space. - You are a **developer, engineer, or technical builder** who wants to understand how to create agent-based systems with OpenAI rather than just prompt a model. - You are a **founder or product builder** thinking about where agents fit into your product, workflow, or roadmap and want a more grounded view of what is useful now. - You are experimenting with **gen AI prototypes** and want to learn how tool use, multi-step workflows, and autonomy change the way applications are designed. - You are part of an **AI community, lab, or innovation team** and want to compare notes with peers, see practical patterns, and have better conversations about implementation. - You are **curious but serious**: not necessarily an expert yet, but ready to engage with real concepts, tradeoffs, and build decisions. - You want the value of an **in-person room** where you can ask questions, meet other builders in Singapore, and leave with clearer next steps for your own projects.