We want users to interact with their AI agents more expressively, potentially allowing them to draw in the UI to communicate changes or ideas.

Over the next decade, new AI user interfaces will emerge beyond the common chat UI that we're all familiar with.

The user experience for AI workflows is evolving from chat interfaces to more integrated systems that run in the background, with a focus on monitoring and performance guarantees.

AI agent teams often lag behind frontend teams, resulting in a struggle to keep up with new features and tools that enhance user experience. However, building an AI agent interface is straightforward if you leverage existing features rather than starting from scratch, allowing for broader access to tools and services.

AI will serve as a user interface for various applications, allowing users to query and aggregate information seamlessly across different systems, enhancing productivity, while agents will drive enterprise consumption and amplify human potential, transforming how users interact with technology.

We're creating a better, more human-like customer support experience with AI agents to help users get the support they need efficiently.

We are getting our organization AI-ready by establishing the necessary infrastructure and data governance, while experimenting with productivity tools like chatbots.

The design of AI interfaces is evolving towards natural language interactions, allowing users to collaborate with AI as if it were a co-worker rather than just a tool.

We need to move beyond the chatbot interface in AI, as it feels overused and lacks innovation.