This book explores the evolving landscape of user interface (UI) and user experience (UX) design for agentic AI—intelligent systems that act with autonomy, intentionality, and goal-directed behavior. It emphasizes designing for collaboration rather than command, aiming to align machine agency with human values, goals, and cognitive needs.

The first section establishes foundational concepts, tracing the shift from reactive to proactive systems and introducing principles of human-centered AI design. Topics such as trust, transparency, cognitive load, and ethical considerations frame the core challenges of agentic interaction.

In the second section, the focus shifts to design mechanics: patterns for mixed-initiative interfaces, handling interruptions, enabling goal delegation, and building continuous feedback loops. UX is presented not as a visual layer but as a structural medium for aligning intent and understanding between humans and machines.

The third section provides practical applications, showcasing how agentic AI supports productivity, adapts in smart environments, and transforms education and healthcare interfaces. It covers architecture design, UI components like intent selectors, and evaluation frameworks to assess effectiveness.

Finally, the book addresses future-facing issues—multi-agent systems, emergent behavior, and AI-human partnerships. It emphasizes the role of designers in shaping AI ethics, supporting cultural adaptability, and designing systems that are transparent, collaborative, and inclusive.

Through detailed chapters, the book offers designers, technologists, and product leaders a blueprint for crafting agentic AI experiences that are usable, trustworthy, and genuinely supportive of human potential.