The first useful outputs were review surfaces
AI was most helpful when it made existing client evidence easier to see and discuss.
- StickerGiant
- Early prototypes
I returned to three early StickerGiant experiments. Survey data became a dashboard with charts, sentiment, action items, and a printable report. The mobile homepage became a working Figma reconstruction so navigation and local assets could be reviewed as behavior.
I also experimented with a Figma-connected component library and Storybook to make button states inspectable. The code did not prove production adoption, but it gave the team a surface for discussing what the design actually meant.
That became a pattern in my client work: use AI to shorten the distance between evidence and a decision, not to manufacture certainty.