What if your best AI prompts didn’t disappear into your unorganized chat history, but came back tomorrow as a reliable assistant? In this article, you’ll learn how to turn one-off “aha” prompts into reusable assistants that are tailored to your audience, grounded in your knowledge, and consistent every time, saving you (and your team) from typing the same 448-word prompt ever again.
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Yegor Gilyov examines the problem of over-reliance on static high-fidelity mockups, which often leave the conceptual model and user flows dangerously underdeveloped. He then explores whether AI-powered prototyping is the answer, questioning whether the path forward is the popular “vibe coding” approach or a more structured, intent-driven approach.
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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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