AI, Fixed. Vol 2 explores a real-world case where AI tools introduced into a luxury environment technically worked but failed in practice. It tells the story of how staff spent more time correcting AI outputs than using them, revealing the hidden “correction tax” that appears when automation doesn’t align with high-context, high-trust workflows and how fixing it required precision, not replacement.

AI, Fixed. Vol 1 looks at an AI implementation that worked technically but failed in practice inside a real company due to workflow, user adoption, and operational constraints.