With digital products moving to incorporate generative and agentic AI at an increasingly frequent rate, trust has become the invisible user interface. When it works, interactions feel seamless. When it fails, the entire experience collapses. But trust isn’t mystical. It can be understood, measured, and designed for. Here are practical methods and strategies for designing more trustworthy and ethical AI systems.
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For too long, personas have been created with considerable effort, only to offer limited value. Paul Boag shows how to breathe new life into this stale UX asset and demonstrates that it’s possible to create truly useful functional personas in a lightweight way.
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Prompting is more than giving AI some instructions. You could think of it as a design act, part creative brief and part conversation design. This second article on AI augmenting design work introduces a designerly approach to prompting: one that blends creative briefing, interaction design, and structural clarity.
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If you are new to using AI in design or curious about integrating AI into your UX process without losing your human touch, this article offers a grounded, day-by-day look at introducing AI into your design workflow.
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AI has introduced huge efficiencies for web designers and is frequently being touted as the key to unlocking sustainable design and development. But do these gains outweigh the environmental cost of using energy-hungry AI tools?
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AI tools are improving fast, but it’s still not clear how they fit into a real product design workflow. Nikita Samutin walks through four core stages — from analytics and ideation to prototyping and visual design — to show where AI fits and where it doesn’t, illustrated with real-world examples.
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Prompting isn’t just about writing better instructions, but about designing better thinking. Ilia and Marina explore how advanced prompting can empower different product & design use cases, speeding up your workflow and improving results, from research and brainstorming to testing and beyond. Let’s dive in.
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Designing a new AI feature? Where do you even begin? Here’s a simple, practical overview with useful design patterns for better AI experiences.
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Eduard Kuric discusses the significance and role of context in the creation of relevant follow-up questions for unmoderated usability testing, how an AI tasked with interactive follow-up should be validated for its capability to incorporate such context, and what the potential — along with the risks — of AI interaction in usability testing.
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Shouldn’t there be a way to keep your apps or project data private and improve performance by reducing server latency? This is what on-device AI is designed to solve. It handles AI processing locally, right on your device, without connecting to the internet and sending data to the cloud. In this article, Joas Pambou explains what on-device AI is, why it’s important, the tools to build this type of technology, and how it can change the way we use technology every day.
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