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

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

UX designers used to rely on research cycles, gut instinct, and delayed user feedback. Product teams designed first, then learned after launch. That rhythm sort of worked when products moved slowly and user expectations were basic. But that world is gone—or at least, has changed radically. Fast iteration, rising competition, and real-time usage signals have changed how product experiences get shaped. Artificial intelligence (AI) gets the blame—and the credit—for this transformation.

AI is not a shortcut but a planning partner. UX design decisions no longer wait on surveys or rely on guesswork. UX teams can now see how users behave, what they skip, where they drop, and what they prefer before the damage shows up in churn. In this article, I’ll break down how founders and product teams are using AI to improve experience planning, speed up validation, and build products that people actually use. Read More