Building for Agents: The Next Layer of Product Adoption
- Date
- 2026-04-30
- Host
- Leland Free Events
About this event
AI products are moving into a new phase: people are no longer just using tools themselves, they’re relying on agents to act on their behalf. That shift changes how products get discovered, adopted, trusted, and integrated into daily workflows. Building for Agents: The Next Layer of Product Adoption is a conversation for people thinking seriously about what happens when software needs to work not only for users, but also for the systems and agents serving them. This meetup is designed for builders, operators, and curious practitioners who want to understand what agent-driven behavior means in practice. If you’re exploring how AI changes product design, growth, onboarding, or customer experience, this event gives you a place to compare notes in person with others asking the same questions. About the Event This is an in-person community meetup focused on the product implications of AI agents. Rather than treating agents as a distant trend, the event centers on a practical question: how should products evolve when agents become an active layer between companies and end users? Expect a discussion-oriented format shaped by the people in the room. The topic sits at the intersection of AI, product adoption, community, and networking, so the value comes not just from the subject itself, but from hearing how different teams are interpreting the shift. Some attendees may be building agent-enabled products directly, while others may be thinking about discoverability, interfaces, trust, or usage patterns. The event is also a chance to step back from hot takes and look at the real product questions underneath the hype. What signals will matter when agents evaluate tools? How do onboarding, APIs, permissions, workflows, and user confidence change in an agent-mediated environment? This meetup makes space for those conversations in a setting built for peers. What to Expect You can expect a blend of thoughtful discussion and informal networking. The focus is on exchanging ideas with people who are actively building, testing, and refining products in a rapidly changing landscape. This is less about passive listening and more about being part of a room where people are working through the next set of product decisions together. Likely themes of conversation include: How agents influence product discovery and adoption What product teams may need to change in UX, onboarding, and support Trust, reliability, and control when users delegate actions to AI systems Designing products that are usable by both humans and agents How community and peer learning can accelerate better decision-making around AI product strategy Because this is a meetup, there’s also real value in the unscripted parts of the event. The side conversations before, during, and after the main discussion often surface the sharpest insights: what teams are actually shipping, where they’re getting stuck, and what assumptions they’re rethinking. If you have a point of view, a live experiment, or even just a set of open questions, this is a strong setting to bring them. You do not need to arrive with a polished thesis. Showing up curious, informed, and ready to engage is enough to get a lot out of the room. Why Attend If you work on products touched by AI, this topic is quickly becoming hard to ignore. Agents have the potential to reshape how users evaluate software, how work gets initiated, and how product value is experienced. Understanding that shift early can help you make better decisions now, before habits and standards solidify. This event is valuable because it connects strategy with practitioner insight. You’ll hear how others are thinking about adoption in an agent-driven environment, and you’ll be able to pressure-test your own assumptions in conversation. For many attendees, that kind of real-time exchange is more useful than generic content because it reveals where the practical edge really is. You may leave with: A clearer picture of how agent behavior could affect your product roadmap Better language for discussing these changes with your team or stakeholders New perspectives on usability, trust, and integration in AI-era products Connections with other people exploring similar challenges A stronger sense of where experimentation is worth doing next Whether you’re building directly for agents or preparing for their impact on product adoption, this meetup can help you think more concretely about what comes next. Practical Details Location: In person Date: Thursday, April 30 Time: 11:00 AM MDT Because this is an in-person event, the experience is built around real conversation and connection. If you get the most value from being able to ask follow-up questions, read the room, and meet people beyond a comment thread or video call, this format is a major advantage. Plan to arrive ready to participate, listen closely, and make a few new connections. The topic is timely, but the strongest reason to attend is simple: being in a room with other thoughtful people wrestling with the same product shift can sharpen your thinking faster than trying to sort it out alone. If AI agents are changing how products are found, evaluated, and used, then this conversation is not peripheral. It is directly about the next layer of product adoption.
Who should attend
This is for people who want a sharper, more practical understanding of how AI agents may reshape product adoption and user behavior. - You’re a **product manager, founder, or builder** thinking about how agent-driven workflows could change the way people discover, choose, and use your product. - You work in **AI, developer tools, SaaS, platforms, or digital products** and want to understand what “building for agents” means beyond the headline. - You’re responsible for **growth, onboarding, activation, or customer experience** and you’re curious how those functions may need to adapt when users delegate more actions to AI systems. - You’re an **operator, designer, strategist, or technical leader** who wants to pressure-test ideas with others facing similar product questions. - You learn best through **peer conversation and in-person exchange**, not just reading abstract takes online. - You don’t need to be an expert in agents already; if you’re actively exploring the space and want grounded discussion with smart, curious people, you’ll fit right in.