Your AI’s ‘Mistakes’ Are Trying to Tell You Something. Here’s How to Listen.
When your AI prototype produces unexpected results, your first instinct is to correct it. But asking ‘why’ instead can reveal hidden product insights, expose your own blind spots, and transform AI from a tool into a creative collaborator. Three real-world cases show how.