This content originally appeared on NN/g latest articles and announcements and was authored by Huei-Hsin Wang, Megan Brown
Summary: AI prototyping tools follow general directions but lack the judgment and nuance of an experienced designer.
Over the past few months, the UX design field has been flooded with AI-powered prototyping tools that generate interfaces instantly from natural-language prompts. Despite the massive marketing hype, our evaluation with real design scenarios revealed that these tools can follow instructions to achieve a general goal , but they lack the sophistication to weigh design tradeoffs and produce thoughtful, high-quality designs without extensive guidance from humans.
About the Evaluation
To understand whether AI prototyping tools can craft thoughtful, context-aware designs comparable to those created by human designers, we conducted an evaluation using an actual project — redesigning the profile page for individuals registered for NN/G’s live online training . This evaluation focused on three categories of AI tools:
To mirror different stages of the real-world design process, we wrote prompts providing various levels of context:
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This content originally appeared on NN/g latest articles and announcements and was authored by Huei-Hsin Wang, Megan Brown
Huei-Hsin Wang, Megan Brown | Sciencx (2025-10-24T17:00:00+00:00) Good from Afar, But Far from Good: AI Prototyping in Real Design Contexts. Retrieved from https://www.scien.cx/2025/10/24/good-from-afar-but-far-from-good-ai-prototyping-in-real-design-contexts/
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