Agentic Workflows 🚀 — Workshop
- Date
- 2026-06-24
- Location
- New York, NY, USA
- Host
- AI Socratic NY
About this event
If you keep hearing about AI agents but still want a clearer, more practical sense of how agentic workflows actually work, this workshop is built for you. This is an in-person session in New York for people who want to move past vague ideas and get a grounded understanding of how AI, tools, and human judgment can be combined into useful workflows. Whether you are experimenting on your own, thinking about how these systems fit into your work, or looking to meet others exploring the same space, you will leave with sharper mental models, concrete examples, and better questions to ask next. What Is This? Agentic Workflows — Workshop is a hands-on, community-oriented meetup focused on the practical side of agentic systems. Rather than treating AI as a black box, the workshop centers on how workflows can be structured: how tasks are broken down, how tools are used, when human oversight matters, and where agent-like behavior is actually useful. This is not positioned as a passive lecture where you sit in the back and absorb buzzwords. The format is designed to help people discuss, compare approaches, and learn through examples, conversation, and shared exploration. Expect a room with a mix of curiosity, technical interest, and real-world questions. The event also has a strong community and networking angle. That matters because agentic workflows are still evolving quickly, and one of the best ways to learn is by talking with other builders, operators, researchers, and AI-curious professionals who are testing ideas in different contexts. What to Expect The workshop format is built to be practical and interactive. While the exact flow may vary, you can expect the evening to include a combination of structured learning, discussion, and time to connect with other attendees. Likely elements of the session include: A clear framing of agentic workflows and what people mean when they use the term Examples of workflow design, including where agents, automations, prompts, and tools overlap or differ Interactive discussion around use cases, constraints, and common points of confusion Networking time to meet others working on related problems or exploring similar ideas You should expect the conversation to stay close to real applications rather than drifting into abstract hype. A good workshop in this space helps you think in systems: inputs, decisions, actions, checks, outputs, and the role of humans in the loop. Because this is an in-person meetup, there is also value in the informal moments around the session itself. The side conversations before, during, and after the workshop can often be where ideas click, collaborations begin, or a concept finally becomes easier to understand. Why Attend If you are serious about understanding where AI becomes operationally useful, agentic workflows are an important topic. They sit at the intersection of prompting, orchestration, tools, decision-making, and process design. Learning how those pieces fit together can help you evaluate new products, improve internal workflows, or prototype smarter systems yourself. This workshop is especially valuable because it brings together both learning and context. It is one thing to read online about agents; it is another to discuss them with people who are also sorting through what works, what breaks, and what is still more theory than practice. You may come away with: A stronger vocabulary for talking about agentic systems without relying on buzzwords A better sense of practical use cases where these workflows add real value More confidence in evaluating tools, ideas, and architectures in this fast-moving area Useful connections with people in the New York AI and builder community Just as important, you may leave with clearer boundaries. Not every task needs an agent. Not every workflow benefits from more autonomy. Knowing when to simplify is part of understanding the space well, and that kind of judgment is exactly what thoughtful workshops can help develop. Practical Details This event takes place in person in New York, USA on Wednesday, June 24 at 6:00 PM EDT. The in-person format makes it a good fit if you value live discussion, easier back-and-forth, and the chance to meet people face to face rather than through a screen. Because it is scheduled for the evening, it works well for people coming from work, classes, or other daytime commitments. You can treat it as both a focused learning session and a chance to plug into the local community around AI, agentic systems, and emerging workflow design. A few reasons the format matters: In-person conversation is faster and more nuanced than online chat or comment threads Workshops reward participation, so coming ready to ask questions will help you get more out of it Networking is part of the value, especially if you are looking for peers, collaborators, or simply smarter conversations in this area If agentic workflows are already on your radar, this is a strong opportunity to deepen your understanding in a room full of people who are paying attention to the same shift. If they are not yet on your radar but should be, this is a practical place to start.
Who should attend
This will be a strong fit if you want practical understanding, thoughtful conversation, and a room full of people taking AI workflows seriously. - You are **building with AI** and want clearer ways to think about agents, tools, orchestration, and workflow design. - You are a **product manager, operator, founder, or strategist** trying to understand where agentic systems are genuinely useful in real work. - You are **technical or AI-curious** and want a more grounded understanding than what you get from headlines, demos, or social media threads. - You learn best by **talking through ideas in person**, asking questions, and hearing how others are approaching similar problems. - You want to **meet people in the New York AI community** who are exploring practical applications, not just trends. - You are experimenting with automations or AI-assisted processes and want **better mental models, sharper judgment, and useful peer perspectives** on what to try next.