Design: Artificial Intelligence Design

Artificial intelligence (AI) is undergoing a transformation that changes not just what software can do, but how humans relate to it. We are moving from systems that respond to commands toward systems that act independently. AI is no longer merely a user-interface feature, it is becoming an autonomous decision-maker, creator, coordinator, and in some cases, independent operator.

This evolution introduces an entirely new category of user experience: agentic AI systems, which don’t wait for user instructions in the traditional sense. They anticipate users’ needs, plan actions, negotiate constraints, and intervene on the user’s behalf. They schedule meetings, monitor operations, resolve issues, generate insights, and optimize workflows without any need for constant supervision. For the first time in design history, the user is no longer continually in control of the system. This changes everything. Read More

For the last two decades, design systems have been the operating system of digital product teams. They’ve given UX designers and engineers a shared language and brought consistency to sprawling product portfolios. They’ve helped product teams move faster without having to reinvent buttons, forms, navigation, and interaction patterns every time a new requirement appeared.

But AI is changing the job description of the design system. A design system can no longer be just a Figma library, token set, and documentation site. Although these artifacts still matter, they were built for a world where humans interpreted the system and manually applied it to creating products.

In an AI-native world, generative systems increasingly create screens, workflows, content, prototypes, and production code on demand. This changes the role of the design system entirely. It becomes the source of truth that teaches AI how a product should look, behave, communicate, adapt, and make decisions. Read More

The era in which user interfaces manifested as passive digital tools is ending. We are entering the era of agentic artificial intelligence (AI). Agentic AI systems do not just wait for users’ clicks or prompts; they actively plan, use tools, and execute multi-step processes to achieve goals on our behalf.

For UX designers, this is a seismic shift. We are no longer designing static screens for users to navigate; we are designing behaviors, trust protocols, and hand-off points for human supervisors. To do this, we must evolve our foundational design frameworks. In this article, I’ll compare the traditional double-diamond design process with an agentic Al approach, explore how to integrate agentic elements into existing UX design methods, and suggest some standard guidelines. Read More