A lot of AI gateway discussions stop at the same promise: one API key, many models, lower token prices.
That is useful, but it is not enough for a product team.
Once a product starts using GPT, Claude, Gemini, smaller open models, subscription pools, retries, and fallback routes in the same workflow, the hardest question becomes simpler and more operational:
Which balance should this request burn, and why?
If the answer is not obvious, the gateway may be technically working while the business logic is already blurry.
