Durable AI: Infra to Inference with WorkOS (March Edition)
- Date
- 2026-03-11
- Location
- San Francisco, CA, USA
- Host
- Temporal Community
About this event
AI products are getting more capable, but shipping something impressive is not the same as building something durable. This meetup is for people thinking beyond demos and asking the harder questions: how do you design AI systems that hold up under real users, real constraints, and real operational complexity? If you care about the path from infrastructure to inference, this March edition of Durable AI with WorkOS is the room to be in. About the Event Durable AI: Infra to Inference with WorkOS is an in-person meetup in San Francisco focused on the practical side of building and scaling AI systems. The theme points directly at the full stack of concerns that matter in production: the underlying infrastructure, the application layer, model behavior, system reliability, and the decisions teams make when moving from experimentation to something people depend on. This is not positioned as a broad, high-level AI talk for passive listening. It is a community gathering built for conversation, technical curiosity, and meeting others who are thinking seriously about autonomy, AI product development, and what it takes to make modern systems dependable. Expect a format that blends structured content with time to connect. Whether you are deep in implementation details or still shaping your roadmap, the value of the night comes from hearing how others are approaching similar challenges and having the space to compare notes in person. What to Expect You can expect an evening meetup format that brings together builders, operators, and technically minded attendees around a shared topic. The event starts at 5:30 PM PDT on Tuesday, March 10 and is designed to make room for both focused discussion and informal networking. The content focus will center on durable AI systems, including the journey from core infrastructure decisions to inference-layer considerations. That can mean conversations around architecture, reliability, developer workflows, operational tradeoffs, and the broader realities of deploying AI in environments where consistency and trust matter. Likely highlights of the evening include: A chance to engage with a community interested in AI, autonomy, and real-world implementation Structured moments for learning and discussion around the event theme Informal networking with people building, evaluating, or supporting AI products and platforms In-person conversations that go deeper than what usually happens online Because this is a meetup, one of the biggest advantages is proximity: you are not just hearing ideas, you are in the room with people testing them, debating them, and applying them in practice. That makes the event especially useful if you want grounded perspectives instead of abstract takes. Why Attend If you work in AI, you already know the gap between a prototype and a dependable product can be wide. This event is valuable because it centers on that gap. It creates a place to think seriously about durability: not just whether a system works, but whether it keeps working as expectations, complexity, and usage increase. You should attend if you want sharper language for the problems you are solving and better context for the tradeoffs your team is making. Conversations around infrastructure and inference often surface practical insights that are hard to get from articles alone, especially when they come from peers who are working through similar constraints. You may leave with: A clearer view of the challenges involved in building resilient AI systems Useful perspectives on how others approach architecture, deployment, and operational reliability New connections with people in the San Francisco AI community Better questions to bring back to your own team, roadmap, or product decisions There is also simple value in being around people who care about the same level of craft. For many attendees, the most useful part of a meetup like this is not one single takeaway, but the combination of insight, context, and relationships that helps the next step become more concrete. Practical Details This event takes place in person in San Francisco, USA, which makes it a strong fit for local builders and anyone who values face-to-face conversation over purely virtual attendance. The in-person format is especially useful for a topic like this, where spontaneous discussion and follow-up questions often lead to the most interesting exchanges. The meetup begins at 5:30 PM PDT on Tuesday, March 10. As an evening event, it is well suited to people coming from the workday and looking to spend time with a technically engaged community in a more conversational setting. A few things to keep in mind: This is a meetup-style event, so come ready to talk with other attendees The audience will likely span different roles across the AI ecosystem, from hands-on builders to strategy-minded operators If the topic intersects with your work, it is worth arriving prepared with a few questions or current challenges you would like to discuss If you are looking for a smart room, a focused topic, and a practical AI conversation in San Francisco, this March edition of Durable AI with WorkOS is a strong reason to get out from behind the screen and into the discussion.
Who should attend
This is for people who want practical, thoughtful conversations about building AI systems that last. - You are building AI products or features and want to think more seriously about the path from early experimentation to dependable production systems. - You work on infrastructure, platforms, developer tools, or back-end systems and care about how those choices affect model performance, reliability, and long-term maintainability. - You are an engineer, founder, product leader, or technical operator trying to make better decisions around autonomy, deployment, and system design. - You want to meet other people in the San Francisco AI community who are actively working through real implementation challenges, not just discussing trends. - You learn best by talking with peers, comparing approaches, and pressure-testing ideas in person with others who understand the technical and product tradeoffs. - You are curious about durable AI as a discipline and want stronger context, sharper questions, and better connections around the topic. If you have been looking for a meetup where the conversation goes beyond surface-level AI hype and toward what it actually takes to build robust systems, you will likely feel at home here.