AI agents don’t just respond. They remember context, reason across multiple steps, and act toward goals. This changes what we’re designing and who we’re designing for.

This session explores how agents challenge traditional UX frameworks and what that means for designers. You’ll learn the Agentic Design Framework, a practical approach for designing systems where both humans and machines make decisions. Through real production examples, we’ll examine how to address memory, transparency, control, and alignment when agents act autonomously.

You’ll leave with:
– A clearer mental model for how agents differ from traditional software
– A framework for making design decisions about what agents remember, when they act, and where humans need control
– Questions to ask your team about ethics and responsibility before shipping agentic features

Whether you’re working with AI now or preparing for it, this session will help you think differently about your role as a designer.