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AI can increase output.
But output is not the same as value.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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We tested Figma's new AI agent on a real page for an actual Settings screen, not a demo. It reads as literally an assistant: clean file, clear prompt, and it helps with UX enhancements and autolayout.
We didn't accept the output as-is. Some of it broke. So we audited what worked, what didn't & why AI didn't replace the design process, it just moved where our attention needed to go!
Really like this take. AI is definitely becoming a great tool for speeding things up, but the design thinking and review part still matters a lot.
Veranda, a luxury residential concept landing page
Veranda is a concept build I created for a fictional luxury residential brand. It is not client work or a real property. The images and hero motion were generated with AI as part of the creative process.
I wanted to explore something that matters when building high-fidelity landing pages: after several rounds of changes, how do you make sure the final page still looks like the design that was approved?
The site is built in Next.js with responsive layouts, self-hosted fonts, GSAP motion and an interactive walkthrough. I also built in a proper QA process around it, not just checking that the page loads and the buttons work.
It compares 12 sections across five screen sizes against approved visual baselines. It flags visual drift, missing baselines and changes that have not been reviewed. I also tested interactions, accessibility, contrast, performance, browser behaviour and reduced-motion states.
The main lesson for me was simple: a page can pass functional tests and still no longer be the page that was agreed.
Building a QA process that flags visual drift against approved baselines is such an underrated skill, most people just eyeball it after changes go in. What first made you start checking for that instead of trusting the build looked right?
Working on some micrographics for Dataset Clothing. High concept and tons of detail around actual graphics going on their apparel. What do you guys think?
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