How are you keeping AI API costs under control without hurting quality or latency?
A team burning through its monthly AI API budget asks how to cut costs without hurting latency or output quality. Community strategies include model routing (cheap model first, escalate on quality checks), aggressive response caching, and trimming long static system prompts that burn money on every turn.