These are the controls that have a measurable effect, ordered roughly from "cheapest to implement" to "most architectural." None of them require slowing adoption. Several increase it by making aggressive usage affordable.
1. Model routing and cascading
Don't run every request on your most expensive model. Route the easy, high-volume, low-stakes work (classification, extraction, routine drafting, summarization) to a small, cheap model, and reserve the flagship for genuinely hard reasoning. As of mid-2026 the flagship tier runs roughly five times the per-token price of the lightweight tier — so a workload that's 80% routine and 20% hard can cut its model cost dramatically just by matching the model to the task. A simple classifier or rules layer decides routing; harder cases escalate to the bigger model rather than starting there.
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