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A traffic spike hits your self-hosted text-to-speech (TTS) endpoint, and requests start queueing. Latency climbs past your service level objective (SLO) right when the most callers are listening. The auto scaling policy behind that endpoint was supposed to prevent this, but the target value it scales on was a guess, and guesses like that fail…

Psychologist Abraham Maslow once warned: “It is tempting, if the only tool you have is a hammer, to treat everything as if it were a nail.” Agentic AI is becoming the enterprise version of that hammer.

Sending every prompt to one large model is expensive, fragile, and often unnecessary. A hybrid AI router matches each request to the right model: small for simple work, frontier for hard reasoning, local for private data. Here’s how the pattern works, drawn out step by step.