Building an agent demo is straightforward. Running agents reliably in production is a different challenge. As usage grows, the hard problems show up around context: keeping it fresh, retrieving it quickly, isolating it per user, and ensuring it doesn’t overwhelm the model or your infrastructure. This talk walks through architectural patterns for building agents that scale, make effective use of context, and manage and persist memory for dynamic and personalized experiences.