Greylock Change Agents: Multi-Agent Interaction with Karthik Narasimhan
- Date
- 2025-04-30
- Location
- San Francisco, CA, USA
- Host
- Greylock
About this event
The next wave of AI won’t be defined by a single model acting alone. It will be shaped by systems of models and tools working together, coordinating, reasoning, and adapting in ways that are far more dynamic than traditional one-shot interactions. Greylock Change Agents: Multi-Agent Interaction with Karthik Narasimhan is a chance to dig into that shift in a room full of people actively thinking about where AI is going next. If you care about how intelligent systems collaborate, where product and research are heading, or how multi-agent approaches could change the way we build software, this event is designed to be worth your evening. Expect thoughtful conversation, strong technical and strategic signal, and the kind of in-person exchange that helps ideas sharpen quickly. About the Event This is an in-person Greylock Change Agents gathering in San Francisco focused on multi-agent interaction in AI, featuring Karthik Narasimhan. The event sits at the intersection of research, product thinking, and community: a place to hear informed perspectives on an important area of AI while meeting others who are actively building, exploring, and evaluating what comes next. Multi-agent systems are becoming a serious topic for anyone thinking beyond simple prompting workflows. As models become more capable and tool use becomes more sophisticated, questions around coordination, specialization, planning, and communication between agents are moving from theory into practical relevance. This event creates space to examine those questions with more depth than you’d get from a feed, a thread, or a product launch recap. The format is built for both learning and connection. You can expect a central conversation or talk anchored on the theme of multi-agent interaction, along with opportunities to meet other attendees in a more informal setting. That makes the evening useful whether you come primarily for the ideas, the people, or both. What to Expect The evening begins Tuesday, April 29 at 6:00 PM PDT and takes place in person in San Francisco. Because this is a community-oriented AI event, the experience is likely to balance structured content with room for discussion and networking, making it accessible to a range of attendees across technical and product backgrounds. Here’s the kind of flow you should expect from the night: Arrival and informal mingling with other attendees interested in AI, startups, research, and emerging product directions A featured session centered on multi-agent interaction with Karthik Narasimhan Discussion and idea exchange around how agent-based systems may evolve and where they are already becoming relevant Networking time to continue the conversation with peers, builders, operators, and other curious attendees The content focus should appeal to people who want more than surface-level AI commentary. Multi-agent interaction raises real questions: How should responsibilities be divided across agents? What kinds of coordination patterns actually work? Where do these systems break down? How should developers and founders think about usability, reliability, and product design when intelligence is distributed rather than centralized? You should also expect the value of the room itself to matter. Events like this are often where technical ideas become startup concepts, where abstract research starts to feel product-relevant, and where people find collaborators who are asking similarly ambitious questions. Why Attend If you are trying to understand where AI systems are heading, multi-agent interaction is a topic worth paying attention to now rather than later. It touches core questions about autonomy, orchestration, workflow design, and how software may increasingly be built around teams of specialized agents instead of a single interface layer. Attending gives you a chance to hear that topic explored in a focused setting rather than piecing it together from scattered sources. There is also strong practical value in showing up in person. San Francisco remains one of the densest places in the world for AI talent and experimentation, and events like this compress a lot of signal into a single evening. You can hear a perspective on an important technical area, pressure-test your own assumptions in conversation, and leave with a clearer sense of what deserves your attention. A few reasons this event may be especially useful: You’ll get sharper context on a fast-moving AI concept that is influencing both research and product development You’ll meet people who care about the same frontier questions, whether from engineering, product, founder, or research perspectives You’ll be able to connect ideas to applications, including how multi-agent systems could affect products, workflows, and startups You’ll spend time in a high-signal environment that can help refine what you build, study, or invest your attention in next For many attendees, the biggest takeaway will not be a single answer but a better framework. Multi-agent systems are still evolving, and the most useful thing you can leave with may be stronger questions, better mental models, and a more informed sense of where the field is genuinely moving. Practical Details This event is in person in San Francisco, USA, which means the experience is built around live conversation and real community rather than passive viewing. If you get the most value from direct interaction, spontaneous follow-up questions, and meeting people face-to-face, that format is part of the draw. Date and time: Tuesday, April 29 at 6:00 PM PDT. Since it starts in the evening, it should be a good fit for people coming from work, nearby offices, or other city meetups. Plan to arrive on time so you can settle in, meet a few people early, and not miss the opening of the featured session. A few practical tips to make the most of it: Come ready to talk about what you’re building, researching, or curious about in AI Bring questions, especially if you’re thinking seriously about agents, orchestration, or AI product design Expect a mix of structured content and open networking, so leave room for conversations after the main session If you’re local to the Bay Area AI community, treat this as a useful opportunity to strengthen your network in person If multi-agent interaction is already on your radar, this is a smart room to be in. If it’s a topic you’re just starting to explore, this is an even better chance to build context quickly with people who are taking it seriously.
Who should attend
This is for people who want a more thoughtful, in-person conversation about where AI is heading and how multi-agent systems may shape what gets built next. - **You’re an AI engineer or researcher** who wants to go beyond headline-level discussion and think more deeply about coordination, planning, tool use, and agent interaction. - **You’re a founder or startup operator** exploring AI-native products and want a better sense of how multi-agent approaches could become product features, workflows, or core architecture decisions. - **You work in product, design, or strategy** and want to understand how agent-based systems may change user experience, reliability, and the way software is structured. - **You’re an investor, scout, or ecosystem builder** looking for signal on an emerging area of AI and hoping to meet people with strong points of view on where the field is going. - **You’re part of the Bay Area AI community** and value being in rooms where smart people are exchanging ideas, not just broadcasting them. - **You’re genuinely curious and ready to engage** with both the topic and the people in the room, even if you’re still forming your perspective on multi-agent systems.