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Home ›› Artificial Intelligence ›› AI in UX

AI in UX

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Designing for AI? Know what your agent can actually do. This guide breaks down the four core capabilities every UX designer must understand to build smarter, safer, and more user-centered AI experiences.

Article by Greg Nudelman
Secrets of Agentic UX: Emerging Design Patterns for Human Interaction with AI Agents
  • The article examines how UX designers can effectively work with AI agents by understanding the four key capability types that shape agent behavior and user interaction.
  • It emphasizes the importance of evaluating an AI agent’s perception, reasoning, action, and learning abilities early in the design process to create experiences that are realistic, ethical, and user-centered.
  • The piece provides practical frameworks and examples — from smart home devices to healthcare bots — to help designers ask the right questions, collaborate cross-functionally, and scope AI use responsibly.
Share:Secrets of Agentic UX: Emerging Design Patterns for Human Interaction with AI Agents
10 min read

AI is reshaping UX, and Figma may be sinking. As AI-driven systems minimize UI, traditional design roles must evolve — or risk becoming obsolete. Are you ready to adapt?

Article by Greg Nudelman
AI Is Flipping UX Upside Down: How to Keep Your UX Job, and Why Figma is a Titanic (It’s not for the Reasons You Think)
  • The article explores the fundamental shift in UX as AI-first systems minimize the role of UI, rendering traditional design tools like Figma increasingly obsolete.
  • It introduces the “Iceberg UX Model,” illustrating how modern AI-driven interfaces prioritize functionality and automation over visual design.
  • The piece argues that UX professionals must shift their focus from UI aesthetics to AI-driven user experience, emphasizing use case validation, AI model integration, and data-informed decision-making.
  • It warns that designers who remain fixated on pixel-perfect layouts risk becoming obsolete, urging them to adapt by engaging in AI-driven UX strategies.
Share:AI Is Flipping UX Upside Down: How to Keep Your UX Job, and Why Figma is a Titanic (It’s not for the Reasons You Think)
7 min read

If Mobile-First thinking has revolutionized the UX Design industry, AI-First is promising to be an even more spectacular kick in the pants.

Article by Greg Nudelman
The Rise of AI-First Products
  • The article explores how AI-powered operating systems are changing user interactions.
  • It covers AI-driven personalization, automation, and adaptive interfaces.
  • The piece discusses challenges like privacy, over-reliance on AI, and user control.
  • It highlights opportunities to design more intuitive and human-centered AI experiences.
Share:The Rise of AI-First Products
11 min read

Consistency in UI/UX builds trust and efficiency — without it, users feel lost. Learn how top brands maintain it and how AI can help.

Article by Rodolpho Henrique
Consistency in UI/UX Design: The Key to User Satisfaction
  • The article examines the role of consistency in UI/UX design for user trust and efficiency.
  • It showcases visual, functional, and interaction consistency in creating seamless experiences.
  • The piece warns about the negative effects of inconsistency, including confusion and frustration.
  • It promotes the use of AI and design systems to ensure consistency across digital platforms.
Share:Consistency in UI/UX Design: The Key to User Satisfaction
4 min read

AI is shifting designers from creators to curators. How can we refine AI-driven designs while keeping creativity and user needs at the core?

Article by Krunal Rasik Patel
The Future of Product Design: From Creators to Curators in an AI-First World
  • The article explores how AI shifts product designers from creators to curators.
  • It highlights AI Agents and Copilots transforming design workflows.
  • The piece stresses guiding AI outputs to ensure human-centered design.
  • It advocates mastering AI tools and curating user-centric experiences.
  • The article underscores the need for human expertise in refining AI-driven designs.
Share:The Future of Product Design: From Creators to Curators in an AI-First World
4 min read

The era of hype-driven AI products is over. It’s time for a smarter approach: building reliable, tailored tools that focus on real value for domain experts, streamline workflows, and enhance AI-human collaboration. Discover the principles guiding the next generation of AI innovation.

Article by Varun Aggarwal, Kuldeep Yadav
It Is Time to Build the 2nd Generation of AI Products
  • The article critiques first-generation AI products, highlighting the need for AI solutions to address real problems.
  • It advocates building for domain experts, ensuring AI reliability, and using tailored models for specific tasks.
  • The piece stresses creating AI-first workflows and improving AI-human collaboration for better productivity.
Share:It Is Time to Build the 2nd Generation of AI Products
6 min read

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