"Recently top companies have publicly come out to share their processes implemented by senior designers and entire creative teams. Some notable companies like Meta and Atlassian stood out. Not only are these companies building their own AI workflows, but they are spending millions of dollars to train their employees on them. From watching interviews to reading lengthy articles, here is what I've learnt about their carefully crafted AI workflows."
"The Atlassian team realized that AI was often messing up core elements and not completely understanding complex commands. So they created a sort of "design system" for their AI led prototyping. Here they feed a page with pre-coded elements which AI doesn't change, but lets the tool work on other elements which are open to interpretation in a way."
"Unlike most designers who just ask AI tools to code in a certain programming language or use a certain framework, their team has created certain instruction files to "guide the AI". This instructions file (essentially a text file) might have a specific instruction to use a design system element, variable or certain token in case the AI encounters a certain type of element."
Top companies publicly share processes implemented by senior designers and creative teams. Meta and Atlassian are building internal AI workflows and spending millions to train employees on them. Atlassian uses an AI-powered design-to-prototype workflow to accelerate design and testing. The team uses pre-built template strategies that lock core elements so AI only modifies allowed parts. The team also creates instruction files that guide AI to use specific design system elements, variables, or tokens and to skip or override certain actions. The workflow balances automation with safeguards to preserve design consistency. Teams write explicit override instructions for frameworks like Tailwind to ensure internal components remain used.
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