Model Routing

Opening — Why this matters now AI reasoning has entered its awkward managerial phase. For the past two years, the dominant story has been simple enough for a conference keynote: make models reason longer, use reinforcement learning, scale inference-time computation, and let the model “think.” The story is not wrong. It is just incomplete in the same way that saying “hire more analysts” is an incomplete operating model for a research department. More thinking can help. It can also become expensive, slow, noisy, and occasionally theatrical. ...

Opening — Why this matters now Large reasoning models like GPT-5 and s1.1-32B can solve Olympiad-level problems — but they’re computationally gluttons. Running them for every query, from basic arithmetic to abstract algebra, is like sending a rocket to fetch groceries. As reasoning models become mainstream in enterprise automation, the question is no longer “Can it reason?” but “Should it reason this hard?” ...