AI systems fail in ways traditional software never did: they hallucinate, drift, misinterpret context, and behave stochastically across multi-step workflows. Without rigorous, continuous evaluation (evals) and deep observability, teams ship blind. This article explains why evals and observability are now foundational for trustworthy AI, how to...