As AI reshapes product design, it could give designers greater autonomy or expose the gaps that autonomy makes harder to hide. Exploring both the bull and bear cases, Andy Budd examines what happens when designers need less permission to act.
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Many of the AI tools we interact with take the form of text boxes. But what if there was a different way to interact with AI? Oleksii Hrzhehorzhevskyi explores a different approach to creating a new AI assistant and how designers can navigate the field as AI continues to change it.
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Many companies assume everyone craves new AI features. But the reality is that most people don’t want more AI — at least not in the way most AI leaders envision it. Brought to you by Design Patterns For AI Interfaces, friendly video courses on UX and design patterns by Vitaly.
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A closer look at why users don’t need more tools in their daily lives. What they need are seamless integrations of useful features to match already existing, established mental models. Brought to you by Design Patterns For AI Interfaces, friendly video course on UX and design patterns by Vitaly.
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We’ve fallen into conversational tunnel vision, defaulting every AI capability into a chat-based interface simply because LLMs are trained on dialogue data. But great UX is about matching modality to users’ context, intent, and cognitive load, so the interface adapts to the user, not the other way around.
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In a world where AI is informing more design choices, it’s easy to mistake predictions for certainties. This article introduces Probabilistic Design, a mindset that allows UX and product teams to accept uncertainty, decipher AI outputs with nuance, and make smart, adaptive decisions.
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We have officially moved past the era of humanoid robots as mere public relations stunts. As they become increasingly lifelike, society may soon face profound social, psychological, and ethical challenges. What happens when the boundary between humans and machines becomes almost impossible to distinguish?
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Practical guide on how to reduce drifts, minimize mistakes, maintain context, and improve the quality of AI-generated prototypes. Brought to you by Design Patterns For AI Interfaces, friendly video course on UX and design patterns by Vitaly.
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Why traditional loading patterns like spinners fail in agentic AI experiences, and how interface patterns that reveal the system’s process, status, and decision-making can improve transparency and build user trust.
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AI tools are eliminating the need to “bug” colleagues for help, but the informal interactions they replace are the very scaffolding that builds team trust, belonging, and innovation. Casey Hudetz and Eric Olive explore the research and potential impacts behind that risk and offer practical strategies for maintaining human connection while leveraging AI’s strengths.
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