Recently, Superhuman (formerly Grammarly) launched Superhuman Go, an AI assistant that works alongside you on every platform. To build it, we needed a scalable solution that supports an unlimited number of agents that dynamically shapes the user interface and looks similar across all supported desktop and mobile platforms. Join me to find out how we discovered solutions for this innovative new product.

When the backend can reason, what does that mean for the frontend?
Let's take a look at how we can create UI's that can handle the reasoning capabilities of LLMs and adapt to perform any task.

AI interfaces are starting to outgrow the chatbox. Instead of returning only text, agents can assemble the interface a user needs in real time. The challenge is enabling that flexibility without giving an AI model unrestricted control over the frontend.

This talk presents a bounded architecture for generative UI using React and Google’s A2UI protocol. We’ll explore how agents can stream declarative interface schemas that are validated and mapped onto trusted components from an existing design system. We’ll also cover component contracts, server actions, client-side state, streaming, and the boundary between agent-generated structure and application-controlled behaviour.

Our coding agents are getting smarter, but the workspace we drop them into is probably not enabling them to use their full potential. The decisions, failed attempts, conventions, and product knowledge are still crucial context scattered across people’s heads, Confluence, old conversations, and forgotten pull‑request comments.

During this talk, we'll walk through the shift from the “good old” prompt engineering to agent experience, then I'll show a practical AX experiment at my current company that led to a better workspace for both agents and the people using them.