Been spending most of my time trying to actually build and ship AI workflows lately, and the gap between online discussions and reality is getting more evident. A lot of the conversations about AI we see online still revolves around stuff like model comparisons, reasoning capabilities, benchmarks, and every new release cycle. Meanwhile, I keep finding myself buried in questions around reliability, evaluation, observability, governance, and what it actually takes to run these systems in productio...