Your taste is a skill. So is your judgment.

AI Code Design editorial · September 2026 · 3 min read

Generation does not remove responsibility

AI can help produce variations quickly, but a variation is not automatically a good decision. Someone still needs to understand the audience, choose a direction, and inspect the result. That work includes practical judgment about hierarchy, accessibility, content, and whether the experience actually solves the intended problem.

Turn taste into something explainable

Instead of saying a screen feels wrong, identify the observable issue. Perhaps three buttons compete equally, a heading describes a company rather than a user benefit, or text becomes unreadable over an image. Explaining the effect on the task makes your feedback more useful to both people and AI.

Practice with constraints

Take one screen and improve only its hierarchy. Keep its colors, typeface, and content unchanged. Then try a second exercise focused only on spacing. Working with a narrow constraint helps you notice the relationship between a specific change and its effect. Save comparisons rather than relying on memory.

Use AI to widen the discussion

Ask for alternatives and the tradeoffs behind them. You can request a critique from the perspective of a first-time visitor or someone navigating by keyboard. Treat these responses as hypotheses to inspect, not substitutes for observing actual users or checking accessibility.

Build a judgment journal

After each project, record one decision that improved the task, one assumption that was wrong, and one question that remains. Over time, this creates a body of evidence about how you work. Your value is not just producing the screen; it is knowing why that screen deserves to exist.