How are you using AI in your design workflow today?
AI tools are becoming a standard part of the design workflow — from generating UI ideas to writing copy and speeding up iterations.
In my experience, they’re great for exploration and saving time, but they also tend to push outputs toward similar patterns and solutions. It feels like the more we rely on them, the more important our own taste and judgment become.
Personally, I don’t see AI replacing designers — just like having a camera doesn’t make someone a photographer. The tool helps, but the outcome still depends on how you use it.
What’s been interesting for me is that the challenge is shifting from “creating” to “deciding” — choosing what’s actually right among many generated options.
I’m curious how others are approaching this in practice:
– Where in your workflow do you find AI most useful?
– Have you noticed your work becoming more efficient but less distinctive?
– What do you intentionally keep “human” in your process?
Replies
I’m using it mostly for speed in the messy middle — early exploration, copy variations, quick UI directions, and summarizing research. That part is genuinely useful.
But I’ve noticed the same thing you mentioned: the outputs get “solid” fast, and also a bit same-y fast. That’s why taste matters more now, not less. NN/g has been saying something similar — AI is improving fast, but human direction, curation, and verification are still the real differentiators.
The part I try to keep human is:
product framing
edge cases
what not to build
final selection
Feels like AI is great at generating options, but the real job is increasingly judgment.
@alpertayfurr Exactly. AI gives us the 'what,' but humans still own the 'why' and the 'should we.' The 'same-y' output is the new technical debt; curation and edge-case thinking are the only ways to break out of that loop. Taste isn't just a bonus anymore—it's the primary differentiator.