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UX Design

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Every time you drafted a design brief, stating the goal, audience, constraints, and context, you were doing precisely what good AI prompting entails. There is a change of recipient. The ability is identical.

Article by Tushar Deshmukh
The Prompt Is the New Brief
  • “Prompt engineering” can sound like a technical skill, but that image is not always accurate. In practice, good prompting is very much like writing a good design brief. Both require setting a goal, defining a target audience, setting constraints, providing context, and establishing evaluation criteria.
  • Designers are already doing these activities in practice. They have skills in writing briefs that they have developed during their careers that directly translate to fluency in AI prompting – they just might not have made the connection.
Share:The Prompt Is the New Brief
17 min read

How the most intentional designers are working with AI — and why “vibe coding” really needs a better name.

Article by Jim Gulsen
Beyond Vibe Coding: A Designer’s Case for Directed Generation
  • The term “vibe coding” initially described an unstructured approach with minimal accountability, which doesn’t apply to professional design. It risks oversimplifying AI-assisted processes, ignoring the intentionality and expertise involved in high-level design. 
  • In practice, designers engage in “directed generation,” setting clear constraints, selecting references, and refining details. The AI model follows the designer’s guidance rather than taking initiative.
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7 min read

AI can create wireframes, synthesize research, and draft copy fast. What it can’t do: understand your users, carry context, or be accountable when something goes wrong. That’s still you.

Article by Tushar Deshmukh
AI Is Your New Intern, Not Your Replacement
  • AI is not replacing UX pros; it’s automating repetitive tasks and augmenting human capabilities.
  • Think of AI as an intern: quick, smart, but dependent on human direction, context, and judgment.
  • Human skills like empathy, research, systems thinking, and ethical decision-making are more important than ever.
  • The future belongs to designers who incorporate AI to accelerate execution and devote more time to strategic, human-centered work.
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20 min read

Another lesson from studying UX with Laura Klein.

Article by Paivi Salminen
The Agile Trap Designers Fall into: Feeding the Beast
  • Agile teams are fast, but designers get stuck in an infinite loop of visual work: redesigning the same components over and over instead of solving real UX problems.
  • Design systems break that cycle, defining the building blocks once, freeing designers to focus on how the product works, not how it looks.
  • When the basics are in place, teams can start working together sooner, prototype faster, and release incremental features without the interface falling apart.
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4 min read

Real engagement is about designing experiences that people want to have. Here are some things that games do well that most apps don’t.

Article by Montgomery Singman
Gamification 2.0. Beyond Points and Badges: Designing for Players, Not Metrics. Conclusion
  • Most apps use gamification as a manipulation layer to drive metrics, but people engage with things that are truly worthy of their time, not points or streak guilt.
  • Apps that people stick with do this by designing for intrinsic motivation, making the experience itself rewarding.
  • The true measure of success is whether users feel more capable, accomplished, and enriched for having used your app.
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8 min read

For researchers, AI tools are making the move from advising to building easier than ever. But the real obstacle was never technical. Meet the researchers who allowed themselves to create — and what the cost was.

Article by James Lang
The New Makers
  • The article says that becoming a maker as a researcher is less about learning new tools or skills and more about giving yourself a new identity, and that without fixing the internal permission structures that define your swim lane, even the most democratized AI tools won’t turn a researcher into a maker — you don’t have a founder; you have a frustrated advisor with a prototype.
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20 min read

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