MotionLab introduces 'AutoTiming'—AI-assisted timing suggestions for microinteractions

Design · 3 min read

AutoTiming analyzes a composition — the types of components, user context (navigation, onboarding, feedback) and platform (iOS, Android, web) — and suggests a set of timing and easing presets. Designers can accept, tweak or lock parameters into tokens for system-wide application.

MotionLab claims the model was trained on a large corpus of motion patterns from leading apps and provides explanations for each suggestion, helping teams develop a shared motion language. The suggestions appear inline in the editor for immediate iteration.

The company will offer a free tier with basic suggestions and a paid tier that includes team libraries, exportable tokens and batch processing for entire design systems. MotionLab emphasizes that AutoTiming is advisory and keeps control in the hands of motion designers.

Design directors said the tool could speed onboarding and make motion decisions less subjective, particularly for teams maintaining multiple platform implementations.