MLHQ: Build Your Own Agentic AI Automation
- Date
- 2025-07-29
- Location
- Newark Room, main lobby community room, Newark, CA, USA
- Host
- MLHQ
About this event
If you’ve been curious about agentic AI but want something more practical than another high-level talk, this event is built for you. MLHQ: Build Your Own Agentic AI Automation is an in-person session focused on how autonomous, tool-using AI systems actually come together, and how you can start building workflows that do real work. This is a room for people who want to move from interest to implementation. Whether you’re experimenting with AI automations for your own projects, your team, or your business, you’ll leave with a clearer understanding of how agentic systems are structured, where they’re useful, and how to think about building one yourself. About the Event MLHQ: Build Your Own Agentic AI Automation is a community-centered, in-person gathering for people interested in the next step beyond simple prompting: AI systems that can reason through tasks, use tools, take action, and operate with a degree of autonomy. Rather than treating “agentic AI” as a buzzword, this event is designed to make the concept concrete. The focus is on breaking down what an agentic automation actually is, how it differs from standard chat-based AI interactions, and what it takes to design one that is useful, reliable, and grounded in real workflows. Expect a format that blends learning, discussion, and connection. This is not just about watching from the sidelines. It’s a chance to be in the room with other builders, operators, and AI-curious people who are actively thinking about how to apply autonomous systems in practical ways. Because the event is happening in person, the experience is also intentionally social. Alongside the core content, there’s real value in meeting others who are exploring similar questions: what to automate, where agents help most, and how to build systems that save time without creating extra complexity. What to Expect The session will center on the building blocks of agentic AI automation. You can expect the conversation to move from core concepts into hands-on thinking about system design, use cases, and implementation patterns. Topics and activities are likely to include: A grounded introduction to agentic AI and what makes an automation “agentic” rather than simply scripted Examples of autonomous workflows that can plan, decide, retrieve information, and take action across steps Discussion of architecture and components, such as prompts, tools, memory, constraints, triggers, and decision logic A practical build-oriented lens on how to create an automation that is useful in the real world, not just impressive in a demo Room for conversation and networking with others interested in AI, autonomy, and applied systems You should also expect a collaborative atmosphere. Events like this tend to be most valuable when attendees bring their own use cases and questions, whether that’s internal process automation, research workflows, customer operations, personal productivity, or product ideas. Because this is a community event, there’s likely to be a healthy mix of backgrounds in the room. Some people may already be building with AI tools, while others may be early in their exploration. The structure should still be accessible: concrete enough for practitioners, but open enough for motivated newcomers who want a real entry point. Why Attend If you’ve seen the excitement around AI agents and want a more useful understanding of what’s real, this event gives you that. You’ll get a sharper mental model for how agentic automations work, what problems they are actually good at solving, and how to evaluate whether an agent-based approach makes sense for your use case. This event is also valuable because it connects theory to action. Instead of staying at the level of abstract possibility, it brings the conversation back to practical questions: what should the agent do, what tools does it need, how do you keep it on track, and how do you make the output dependable enough to matter? By attending, you can expect to walk away with: A clearer framework for understanding agentic AI systems New ideas for automations you could build for work, side projects, or experimentation A better sense of tradeoffs around autonomy, control, and reliability Useful conversations with people exploring similar problems and opportunities Momentum to go from curiosity to building There’s also a strong community benefit. AI moves quickly, and it’s easier to build well when you can compare notes with others in person. Hearing how other people think about workflows, tools, and implementation challenges can save you time and open up better approaches than building in isolation. Practical Details This event takes place in person at the Newark Room, main lobby community room, Newark, USA. The in-person format is a meaningful part of the experience: it makes it easier to ask questions, discuss specific ideas, and meet others who share an interest in applied AI and automation. The event starts on Monday, July 28 at 6:00 PM PDT. If you’re planning to attend, it’s worth arriving a little early so you can get settled, meet a few people before things begin, and make the most of the networking side of the evening. A few practical reasons to come prepared: Bring your questions about agents, automations, workflows, or use cases you’ve been considering Be ready to talk through ideas with other attendees in a casual, thoughtful setting Come with a builder mindset, even if you’re still early in your learning If you’re looking for a practical, in-person AI event that takes agentic systems seriously and gives you a chance to think through how to build one yourself, this is a strong room to be in.
Who should attend
This is for people who want to understand agentic AI by thinking about how to actually build and apply it. - You’re **experimenting with AI tools** and want to go beyond one-off prompts into systems that can plan, act, and automate multi-step work. - You’re a **builder, developer, or technical operator** who wants a clearer framework for designing useful AI automations. - You work in **operations, product, research, or workflow-heavy roles** and can already see places where autonomous systems might save time or reduce repetitive work. - You’re **AI-curious but practical**: you want to understand what agentic AI really means, where it works, and where it can easily go wrong. - You value **in-person community and conversation** and want to meet others who are actively exploring AI, autonomy, and applied automation. - You have a **specific use case or idea in mind** and want feedback, perspective, or inspiration from being in a room with others thinking at the same level. If you want more than surface-level AI discussion and you’re motivated by real implementation, you’ll likely feel at home here.