When Picking the Flashiest Model Costs You the Release: A Reverse-Guide for AI Decisions

The post-mortem began with a single sentence nobody wanted to hear: the demo looked great, but users stopped using the feature a month after launch. The team had chosen the newest, loudest model because it scored highest on a handful of benchmarks an...