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Your design system’s primary user is no longer human.
Figma’s latest whitepaper confirms that systems are shifting from visual guidelines to functional APIs for machines. When AI builds your UI, ambiguity becomes a bug.
To adapt, we must treat tokens and metadata as the actual interface. AI doesn't need a "vibe" - it needs hard logic and explicit "must/must not" constraints.
Our design systems are the last line of defense against generic AI output. It’s time to build them for machine-first readability.
Read the paper: https://lnkd.in/gKSqgHru
lnkd.in
How design systems power the new pace of product development
AI has made design systems more important than ever—is yours ready to meet the moment?
This is often overlooked, thank you!
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
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I’m a little late to the party with this one, but when you’re building a living, breathing AI with a short fuse, you don’t rush the process.
Designers, we’ve all been there: The logic is flawless. The grid is perfect. Then... the feedback arrives. "Can we make it more... blue-ish?"
Inner Designer is my latest experimental project that says what you can't. Built with Figma Make, a live backend, and an AI brain that actually understands design theory, it doesn’t just design—it defends.
The Hook: It explains its choices.
The Twist: It has a breaking point.
The Result: Push it too far with bad revisions, and the UI literally melts into frustration.
It’s part tool, part therapy, and a little too real.
Here is the Live Link: Inner Designer
Great addition to marathon, hope you win something ❤️
Yes. AI.
No. Not random.
Same hoodie.
Different worlds.
Controlled identity.
🖤
Independent AI concept. Not affiliated with or endorsed by @stussy
Hey looks like you are new here. I am also new.
I hope you will get clients for your amazing skills
Governed AI — Pre-Generation Design Governance in Figma Make
This project demonstrates a proactive design governance interaction built entirely in Figma Make. It uses a simulated pre-generation audit layer that evaluates component health, including semantic token compliance, detachment risk, and WCAG accessibility before an AI-generated screen is created.
Rather than auditing after the fact, this interaction prevents risky UI patterns from being generated in the first place and suggests compliant alternatives to designers in context. It highlights how Figma Make can power custom interactive logic, intelligent constraint-aware flows, and a meaningful design experience that protects consistency across systems.
View the interactive prototype:
https://pitch-ethics-13381672.figma.site/simulate
Pre-generation governance is such an important layer, especially with AI workflows. Building compliance into the interaction itself feels much more scalable than fixing issues post-output.
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