Shared AI credits turn an exploratory Figma Make session into a scheduling decision.
Priority prototype reviews need predictable capacity, while early exploration needs room to be wasteful.
Who you’d be doing this for
“I had the review file ready, then found out the credits had been used in another exploration session.”
Araba Balogun · UI/UX Designer
Works on a digital product team using Figma Make to prepare interactive prototypes for product and engineering review.
What is at stake
Designers are arriving at prototype review with no shared AI credits left for the generation they need. You have to weigh predictable review capacity against the freedom to explore freely.
Why it isn’t already fixed
Every obvious fix costs something else. That’s the part you’d have to decide.
- creative exploration vs. predictable review capacity
- shared visibility vs. individual autonomy
- useful estimates vs. false precision
- product simplicity vs. decision support
Why Figma
Figma Make and the design agent draw from the same AI credit pool, so the design-to-code workflow needs a clear way to manage competing use.
Written with these in mind
Not your kind of problem? 45 more at Figma, or browse every organization.
This is the setup. The work is inside.
Running it puts you in the room: the full situation and its constraints, stakeholders who push back in their own words, and the decisions that are yours to make. What you produce becomes a Day One Plan — work you can show someone instead of describing.