How to make AI UI look less generic: 5 fixes
The clearest diagnosis of why models regress to the mean, with five concrete fixes.
Open superdesign.dev →AI tools output the statistical average of every dashboard they trained on, which is why everything comes out with the same rounded cards, Inter font, and blue gradients. The fix is to stop asking one prompt to do taste, exploration, and code at once: write down your own design system (colors, type, spacing, radius) in a file like DESIGN.md the tool must follow, plan the creative direction in text first, and learn a handful of visual rules so you can spot and fix the highest-impact flaw each iteration. Distinctive design is now a real moat precisely because everyone else ships the default.
A quick orientation. The real value is below: resources worth your time, from people who've actually done it.
The clearest diagnosis of why models regress to the mean, with five concrete fixes.
Open superdesign.dev →Names the exact tells (Tailwind blue, card-in-card, bounce animations) so you can hunt them down.
Open smoothui.dev →A checklist with visual examples you can run against your own screens.
Open gendesigns.ai →An honest first-person build log of going from slop to shippable.
Open alexlavaee.me →A working designer's step-separated workflow: direction in text first, code second.
Open pub.towardsai.net →Shows the single highest-leverage trick: a design-system file every prompt must obey.
Watch on YouTube youtube.com →Developer-level fixes for the giveaway patterns AI code ships with.
Open dev.to →A practical loop: generate with guardrails, critique, fix the worst issue, repeat.
Open dev.to →How to encode your design decisions as rules an AI agent can actually consume.
Open designsystemscollective.com →A tooling map for keeping AI output consistent across every screen.
Open intodesignsystems.com →The component foundation most AI tools speak natively; theming it is the cheapest path to a distinct look.
Open ui.shadcn.com →A ready template for documenting component decisions your AI agent cannot infer.
Open designmd.directory →The classic book that teaches non-designers exactly the judgment calls AI keeps fumbling.
Open refactoringui.com →Dozens of no-judgment-needed rules; run your AI output against them like a linter.
Open anthonyhobday.com →The strategic argument for why sameness is now a product risk, not just an aesthetic one.
Open medium.com →The investor view: when execution is commoditized, distinct design is what differentiates.
Open thevccorner.com →How to actually train taste: exposure, iteration, and caring what good feels like.
Open medium.com →A working designer explains how to make AI generate in your product's visual language.
Listen on Spotify open.spotify.com →