Cost per token, cost per active user, where the GPU hours actually go

"I use Cursor every day, and the honest version of why I'm here is the shape of the problem. The posting centers on inference cost and COGS attribution, and I'd assume inference is one of your largest cost lines, so tell me where I'm wrong. That turns 'be a TPM' into 'own the unit economics of running an AI product': cost per token, cost per active user, where the GPU hours actually go. I've spent years on that work. The part I actually want is the room: flat, talent-dense, no thick layer to escalate through. I'd rather earn a resource call with the ML lead by being right and prepared."

Bring one specific, defensible opinion on inference cost tradeoffs and offer it before you're asked, framed as an assumption you invite them to correct. "I'd guess model routing, with small models for simple completions and large ones only for hard requests, is one of your bigger COGS levers. Where am I wrong?" A real point of view shows you've thought about the actual job.