Agents Of Change: Agentic AI Building Workshop
- Date
- 2026-06-02
- Location
- New York, NY, USA
- Host
- Community
About this event
Agentic AI is moving fast from theory to practice, and the biggest gap for most builders is not interest, it is execution. Agents Of Change: Agentic AI Building Workshop is an in-person session in New York designed for people who want to get practical: how autonomous systems are being built, where they succeed, where they break, and what it takes to create useful agent-driven products in the real world. About the Event This workshop brings together people interested in AI, autonomy, and hands-on building for an evening focused on making agentic systems more concrete. Rather than treating agents as a vague trend, the event centers on the actual work of designing workflows, tools, interactions, and constraints that help AI systems operate with more initiative and reliability. Expect a format that blends learning, discussion, and community. The goal is not just to hear ideas, but to work through them with other people who are actively exploring what agentic AI can do. Whether you are experimenting with prototypes, evaluating use cases, or trying to understand where autonomy creates value, this event is built to help you sharpen your thinking. Because it is happening in person in New York, the workshop also creates space for higher-quality conversations than you typically get online. You can ask detailed questions, compare approaches, and meet others who are tackling similar challenges from different angles. What to Expect The evening starts at 5:30 PM EDT on Tuesday, June 2 and is structured to help you move quickly from context to application. You can expect a workshop atmosphere rather than a passive audience experience, with room for active participation and discussion. Likely themes and activities include: Framing what "agentic AI" actually means in practice Exploring how autonomous systems are designed around goals, memory, tools, and feedback Discussing real building considerations such as orchestration, evaluation, reliability, and human oversight Looking at how agent-based workflows can support products, operations, research, or creative work Meeting peers interested in AI systems, experimentation, and applied autonomy This is also a community-centered event, so networking is not an afterthought. You should expect time to talk with other attendees, swap ideas, and hear how people from different backgrounds are approaching the same set of technical and product questions. If you are early in your agentic AI journey, the workshop gives you a grounded way in. If you are already building, it offers a chance to pressure-test your assumptions, compare methods, and discover new angles you may not have considered. Why Attend There is a big difference between reading about AI agents and understanding how to build with them responsibly and effectively. This event helps close that gap by focusing on the practical side of autonomous systems: what they are good at, what they require, and how to think clearly about their design. You will leave with a stronger sense of how agentic systems are structured and where they can be genuinely useful. Just as important, you will be able to place your own work or curiosity in a more informed context, whether you are approaching the topic from engineering, product, startup, research, or general exploration. A few reasons this workshop is worth your time: Clarity: cut through hype and get a more usable understanding of agentic AI Practical insight: focus on building considerations, not just concepts Community: meet people who are serious about AI, autonomy, and experimentation Momentum: leave with better questions, sharper ideas, and a clearer next step For many attendees, the value will come from the combination of content and conversation. You are not just showing up to absorb information; you are stepping into a room with people who can challenge your thinking, expand your perspective, and potentially become collaborators, peers, or future partners. Practical Details Location: In person in New York, USA. This is a physical event, so plan for face-to-face discussion, workshop energy, and local community connection rather than a remote session. Date and time: Tuesday, June 2 at 5:30 PM EDT. The evening timing makes it accessible for people coming from work, study, or other daytime commitments, while still giving enough room for meaningful participation and networking. A few things to keep in mind before attending: Come ready to engage, ask questions, and talk with other attendees Expect a collaborative environment centered on applied ideas and discussion If you are actively building, it may help to arrive with a use case, challenge, or workflow in mind If you are still exploring the space, that is welcome too; curiosity is a strong reason to be in the room If you want a smarter, more grounded understanding of agentic AI and the people building around it, this workshop is a strong place to start.
Who should attend
This is for people who want to move beyond headlines and get more practical about what agentic AI can actually do. - You are a **builder, engineer, or technical experimenter** who wants to understand how autonomous AI systems are designed, evaluated, and improved in real workflows. - You are a **product thinker, founder, or operator** exploring where agents can create real value in products, internal tools, research, or automation. - You are already **testing AI workflows** and want better conversations around orchestration, autonomy, reliability, and human-in-the-loop design. - You are **AI-curious but serious**, and you want a grounded, in-person environment where you can learn from others without needing to be an expert first. - You value **community and networking** and want to meet people in New York who are actively thinking about the future of AI systems, not just talking about trends. - You learn best by discussing ideas with others, asking detailed questions, and connecting concepts to practical use cases. If you want sharper insight, better peers, and a more concrete understanding of agentic AI, you will likely feel at home here.