Eval rigs, serving stacks, edge compression, cost levers, and the regulatory layer — the five lessons that keep a video-AI feature alive after launch. Includes the 25-lever cost playbook and the vLLM-vs-Triton-vs-TensorRT decision most teams get wrong on the first try.
