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03 Figma, 10 October 2026 ([figma.com](https://www.figma.com/blog/4-team-rituals-that-drive-ai-adoption/))

AI fluency is a team practice

Figma documents four rituals that make AI experimentation less siloed: study groups, process-sharing, cross-training and prototype-first critiques.

1
Run small peer-led study groups around a tangible outcome.
2
Share what failed, not just polished AI results.
3
Cross-train designers and developers on basic adjacent skills.
4
Begin critiques by letting people use the prototype.

Make experimentation social, specific and safe enough to repeat.

The Story

Figma’s latest field note argues that individual AI fluency is not enough to change how a team works. The more useful shift happens when people learn together, compare approaches and build shared judgement.

The most relevant ritual for a small creative studio may be the prototype-first critique: show the thing, let people interact with it, then explain the rationale. It moves discussion from abstract preference to observable behaviour.

A Studio Wensday version could be a weekly 45-minute lab: one person brings an unfinished AI-assisted experiment, the group tests it, and the maker records both the prompt and the editorial decisions that followed.

Studio Wensday Angle

The differentiator is not access to AI; it is the quality of shared judgement around it.