AI After Five: Knowledge Bases and Skills
- Date
- 2026-04-15
- Location
- New York, NY, USA
- Host
- Vellum Events
About this event
If you care about building AI systems that are actually useful after the demo, this meetup is for you. AI After Five: Knowledge Bases and Skills brings together people thinking seriously about how AI agents find information, use tools, and become more reliable in real-world workflows. This is an in-person evening for people who want sharper conversations than a generic networking event. Expect practical discussion, thoughtful people, and a room full of builders, operators, and AI-curious professionals exploring what it takes to make autonomy work. About the Event This meetup centers on two ideas that sit at the heart of modern applied AI: knowledge bases and skills. In practice, that means looking at how AI systems access context, retrieve the right information, and perform useful actions across tasks instead of producing one-off outputs that stop at the chat window. The goal is to create a space where people can compare approaches, trade lessons from real projects, and talk openly about what is working right now. Whether you are experimenting with internal knowledge systems, designing agent workflows, or just trying to understand where the field is heading, the focus is on grounded conversation rather than hype. Because this is an in-person meetup in New York, the format is naturally social as well as substantive. You should expect a mix of structured discussion and informal connection, with enough room to meet new people, ask smart questions, and leave with ideas you can apply. What to Expect The evening begins at 6:30 PM EDT on Wednesday, April 15 and is designed for after-work attendance. The pacing should feel approachable: enough structure to give the night direction, with enough flexibility for real conversations to happen. You can expect a mix of activities such as: Meet-and-mingle conversations with people working across AI, automation, product, and operations Topic-driven discussion around knowledge bases, retrieval, context management, and skill-based AI systems Practical sharing of patterns, experiments, and lessons from people building or testing these ideas Open networking time to continue the conversations that matter most to you This is a good environment for asking questions that do not always fit into a formal conference setting. What makes a knowledge base actually usable by an agent? How should skills be defined, evaluated, and reused? Where does autonomy help, and where does it still break down? These are the kinds of conversations that make a meetup like this valuable. You do not need to arrive with polished answers. Curiosity, practical interest, and a willingness to engage thoughtfully are enough. Some attendees may be deep in implementation; others may be connecting the dots from adjacent work. That mix usually makes for a stronger room. Why Attend AI is moving quickly, but the gap between impressive prototypes and dependable systems is still very real. Knowledge bases and skills are two of the most important building blocks in closing that gap. This meetup gives you a chance to understand how others are thinking about those building blocks in practice. If you are building, you will likely leave with better language for the problems you are trying to solve and new ways to frame your architecture, workflows, or evaluation approach. If you are exploring, you will come away with a clearer sense of what these concepts mean beyond buzzwords and where they fit into actual products and teams. There is also real value in being in the room with people who are asking similar questions. New York has no shortage of AI interest, but not every event creates the right conditions for high-signal conversation. This one is especially relevant if you want to meet people who care about applied AI, autonomy, and community in a concrete way. A few likely takeaways: A stronger grasp of how knowledge bases support more capable AI behavior Better intuition for what “skills” can mean in agent and workflow design Insight into common challenges around retrieval, reliability, and tool use New peers and collaborators in the local AI community Fresh ideas to bring back to your team, project, or next experiment Practical Details This is an in-person event in New York, USA, built for people who want face-to-face conversation rather than another online session. Being there in person makes it easier to ask follow-up questions, build rapport quickly, and have the side conversations that often become the most useful part of the night. The event takes place on Wednesday, April 15 at 6:30 PM EDT, making it easy to attend after the workday. If your schedule allows, it is worth arriving ready to stay engaged for the full evening so you can benefit from both the structured discussion and the informal networking. A few simple ways to get the most from it: Come prepared to talk about what you are building, testing, or trying to understand Bring specific questions about knowledge systems, agent behavior, or AI workflows Be ready to listen closely as well as share; the room will likely include different levels of technical and strategic perspective Plan to meet a few new people rather than only talking to the first familiar face you see If your work or interests sit anywhere near AI systems, automation, or the future of practical autonomy, this is a strong use of an evening. You will leave with sharper thinking, stronger connections, and a much clearer sense of how people are approaching knowledge bases and skills right now.
Who should attend
This is for people who want thoughtful, practical conversations about applied AI and the systems behind it. - You are **building with AI** and want to understand how knowledge bases, retrieval, or skill-based workflows can make systems more useful and reliable. - You work in **product, engineering, design, operations, or strategy** and need a clearer view of how AI autonomy actually gets implemented in real settings. - You are experimenting with **agents, internal tools, copilots, or automation** and want to compare notes with others facing similar architecture and workflow questions. - You are **AI-curious but serious**, and you would rather learn through grounded discussion than broad trend talk or surface-level networking. - You value **local community** and want to meet smart people in New York who care about where AI is going and how to apply it well. - You are looking for an event where you can both **learn something specific and meet potential collaborators**, peers, or future teammates. If you have been looking for a room where the conversation goes beyond demos and into how AI systems actually work, you will likely feel at home here.