Why a single AI model is no longer enough If you’re building AI-powered applications today, you’ve probably faced this problem already: Some prompts are trivial, but they still hit an expensive model Others are complex and fail badly when routed to a cheaper one Latency, cost, and quality constantly pull in different directions Using one model for every prompt is increasingly inefficient especially as new models with very different strengths are released every few weeks. This is where model routing comes in. The hospital triage analogy Consider a large hospital where patients arrive all day with very different problems: A sore throat Chest pain Sudden vision issues like floaters Patients do not reliably know where to go. Some choose to see a consultant directly, some underplay their symptoms, while others bounce between departments losing valuable time in the process. To handle this situation, hospitals rely on a triage lead .…