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Home ›› Artificial Intelligence ›› Human-AI Interaction

Human-AI Interaction

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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

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

Discover how UX designers can go beyond interfaces with agent-centered design. Learn to define agent roles, foster collaboration, and build trust for smarter, more adaptable AI systems.

Article by Ishaani M
Demystifying Designing an Agent
  • The article introduces a framework for designing AI agents with agent-centered design, focusing on agent roles, communication, and user engagement.
  • It highlights setting clear human-AI collaboration and building trust through transparency.
  • The piece urges UX designers to think beyond interfaces to create adaptable, intelligent systems.
Share:Demystifying Designing an Agent
7 min read

Are we on the brink of an AI-first revolution? As more products are built entirely around AI engines, designers must adapt. From dynamic interfaces and non-linear journeys to helping users optimize prompts, discover how the next generation of AI-driven products will reshape UX design.

Article by Tom Rowson
AI-First: Designing the Next Generation of AI Products
  • The article introduces “AI-first” products, designed around AI engines to offer more than just chat interfaces and improve over time.
  • It highlights key challenges for designers: creating flexible interfaces, helping users with prompts, and managing AI errors like hallucinations.
  • The piece stresses the need to adapt to non-linear, iterative user journeys as AI-first apps evolve.
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4 min read

Discover how AI is changing UX research. It’s not just making data analysis faster. It’s also encouraging people to think more deeply. Learn how to strike a balance between human insight and AI-driven efficiency to create more thoughtful designs.

Article by Charles Gedeon
How AI and Metacognition Are Shaping UX Research
  • The article talks about how AI can speed up data analysis and encourage people to think more deeply about biases and missed insights, which can improve the quality of user-centered design.
  • It shows that AI-powered UX research tools need to include reflection checkpoints. These checkpoints let researchers critically assess their assumptions and conclusions.
  • The piece highlights the collaboration between AI’s ability to recognize patterns and human judgment to make sure the research outcomes are meaningful and consider the context.
Share:How AI and Metacognition Are Shaping UX Research
4 min read

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