Building with AI: Where the Designer Had to Take Over
Where AI Stopped
But here's what I learned: AI can give you the bones. It can't give you the soul.
AI gave me speed. Layouts, boilerplate, and structure in minutes instead of hours. But what it couldn't do was make the judgment calls that turn generic code into a product with intention.
The Speed Was Real
When I started building ArticulateDigital.co, I knew AI would be part of the process. I'd seen enough demos, read enough case studies. The promise was clear: write faster, build faster, ship faster.
And honestly? It delivered on that promise. Claude helped me scaffold components, set up routing, write boilerplate. What would've taken me days of setup took hours. The structure was solid. The code ran.
When it came to the design decisions, the ones that actually matter, I was on my own:
- Visual hierarchy: AI suggested layouts. But it didn't know which content deserved the user's attention first, or why.
- Interaction patterns: It could build a dropdown menu. But it couldn't tell me whether a dropdown was the right choice in the first place.
- Emotional tone: AI wrote copy. But it didn't understand the feeling I wanted to create: the trust I needed to build with a first-time visitor.
- Strategic decisions: Should this be a single-page app or multi-page? What goes above the fold? What can wait? AI had no opinion.
The Designer's Job
This is where I had to step in. Not to fix bugs or debug code. AI handled that pretty well. But to make the calls that turned a functional website into a product with a point of view.
Every choice about color, spacing, typography, navigation: those weren't technical decisions. They were strategic ones. They required understanding the user, the context, the goal.
AI could execute my vision. But it couldn't create one.
What This Means for Designers
AI isn't replacing designers. But it is changing what we spend our time on.
Less time on mechanical tasks. More time on the stuff that actually matters: strategy, empathy, judgment.
The bar is higher now. If AI can handle the basics, then the basics aren't enough anymore. The value is in the thinking: the why behind the what.
And honestly? That's where the interesting work has always been.