AI & Design Blog
Loading…
Loading…
Page 2 of 4 — UX
The tech industry keeps shipping AI features nobody asked for. The real design challenge isn't building with AI — it's knowing when not to.
The design community is converging on an uncomfortable truth: most people don't want more AI features. They want the right ones, in the right places, delivered in ways they'll never notice.
AI deals in probabilities, but most interfaces present its outputs as certainties. It's time designers learned to communicate confidence — not just content.
AI tools deliver confident-sounding recommendations, but confidence isn't certainty. Probabilistic design — and tools like CSS's contrast-color() — show us how to build systems that embrace uncertainty instead of hiding it.
Brands are using AI-generated influencers designed to pass as real people — and someone had to design them. If AI is creating more of the visual layer between brands and audiences, designers need to decide where they stand on honesty.
AI tools don't give you definitive answers — they give weighted possibilities. The designers who grasp that distinction will outperform everyone chasing pixel-perfect AI outputs.
AI prototyping tools are only as good as the design systems they pull from. The unsexy truth: better documentation beats better models every time.
Everyone's racing to master AI prompts, but the real bottleneck in AI-assisted design is your messy, undocumented design system. Clean tokens and clear documentation aren't just good practice — they're your most important AI investment.
Microsoft just admitted its Copilot button was annoying enough to bury. The redesign reveals the hardest UX problem in AI right now — and most teams are getting it wrong.
The loading spinner has served us well for decades — but in AI products, it's actively destroying user trust. There's a better way to design for wait states when the system is thinking.