AI Pattern Library

Product requirements documents written before prototyping miss micro-interactions and edge cases that only surface when you can click through the experience—leading to specification gaps discovered late in development.

Source: Figma • October 2025

Design exploration phases get compressed because generating multiple directions is time-expensive—teams converge prematurely on a single approach without fully exploring the solution space. PMs need to form opinions on ill-defined problem spaces but don't know where to start.

Source: Figma • October 2025

When AI suggestions for labels, assignees, and other properties look identical to human-set metadata, users lose track of what's authoritative versus speculative. This creates confusion about the source of truth and erodes trust when AI suggestions turn out to be wrong.

Source: Linear • September 2025