This article covers a podcast episode featuring Brian Greenbaum, a product designer at Pendo. He shares his experience as an unexpected AI champion, detailing practical strategies for engaging teams in AI adoption through workshops and rapid tool experimentation.

This article explores how Perplexity and NotebookLM optimize user experience not through superior AI models, but by architecting effective collaboration between human and AI. It introduces the concept of Intelligence Flow Architecture, emphasizing the importance of task distribution and cognitive strengths in creating seamless interactions.

The article discusses the author's experiment using a synthetic developer persona created with AI, ChatGPT, to assist in a design project. It highlights both the benefits and limitations of this approach, emphasizing how AI can help structure thinking but lacks the depth and context that real developers provide.

This article explores how successful products, like Gruns gummy vitamins, use human psychology to turn guilt into pleasure. It discusses strategies for both enterprise and consumer markets, emphasizing the importance of redesigning tasks and indulgences to make them more enjoyable or guilt-free.

The article explores how AI transforms product development by democratizing access to knowledge and speeding up processes. It discusses the balance between leveraging AI as a collaborative tool while ensuring human oversight remains central to decision-making. The author emphasizes that AI can enhance creativity and efficiency without replacing the human touch.

The article critiques the misconception that AI-generated outputs inherently represent high-quality work. It emphasizes the importance of validating assumptions through customer feedback instead of getting lost in the polished appearance of designs. Prioritizing user experience testing over refinement leads to more effective product development.

The article discusses how Google's Gemini is making significant strides in AI product development, especially with its new "Dynamic View" feature. This innovation enhances user experience by offering interactive, visual outputs that could rival ChatGPT's established position. The author believes Google's recent improvements could pose a real challenge to OpenAI's dominance in the market.

This article outlines four essential frameworks for startups integrating AI into their products. It emphasizes the importance of making thoughtful design choices early to ensure user needs are met and to achieve genuine competitive advantage.

The article argues that AI companies often overlook user experience in favor of technical improvements. It emphasizes that users are unlikely to switch tools unless the new option feels significantly better, which usually means a seamless and familiar interface. Comfort and ease of use are key factors in retaining users.

Dave Feldman discusses key principles of AI product design, emphasizing the importance of keeping users in control. He shares insights from his experience with the AI writing app Flex and highlights the tension between automation and user agency. The article outlines six design principles, focusing first on user control in AI interactions.

The article discusses how a Latin American HR startup adopted an AI-driven concept called the Product Playground to enhance collaboration and innovation. This tool allows non-engineers to create and test product ideas quickly, shifting the design process and accelerating development.

This article critiques the trend of unnecessary AI features in tech, highlighting examples like LinkedIn's AI follow-up questions and the intrusive Windows "Recall" function. It argues that the industry often neglects user research, leading to products that lack real value.

The article explores the practical applications of AI in product design, moving beyond the initial hype to focus on how AI can enhance creativity and streamline processes. It discusses the benefits and challenges designers face when integrating AI tools into their workflows, emphasizing the importance of human oversight and collaboration.

Adopting AI in product design necessitates a reevaluation of work dynamics, user experiences, and the technical skills required across roles. Embracing AI can lead to opportunities for innovation and efficiency, but it also requires a structured approach to integrate new technologies and redefine team roles. Companies should focus on building coherent systems and enhancing technical fluency to thrive in this evolving landscape.

AI interfaces are often challenging to navigate due to unclear writing and labeling, which can confuse users. Effective UX writing is essential to improve user understanding and product usability, guiding designers to define their audience, structure information clearly, and ensure honest communication about AI functionalities.

Figma Make represents a significant evolution in UX/UI design, enabling designers to seamlessly integrate AI-driven front-end coding into their existing workflows. Launched in May 2025, it allows designers to create functional prototypes directly from design files, streamlining the design-to-development handoff and enhancing the overall product design process. This innovation empowers designers to generate ideas, iterate quickly, and test real user interactions without relying heavily on developers.