AI models design from averages. Without explicit context, a model asked to produce a search screen generates a statistically median search screen: trained on millions of examples, optimized for nothing specific. It does not know your users, your domain, your research findings, or your design standards. It knows what software generally looks like.
This shifts the core output of UX work. The deliverable is no longer a document written for a human stakeholder. It is curated context: instructions, standards, examples, and background information assembled to lean a model's output toward something specific and informed rather than generic.
The full article breaks down what that context actually contains and how to structure it. The mechanism of how context shapes model behavior, not just the conclusion that it matters, is what makes it worth reading.
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