First Principles of Model Routing for Optimal AI Performance

First Principles of Model Routing

I developed four key principles for effective model routing while building role-model. Keep your models distinct by pairing frontier models with specialized ones, and limit your pool size to avoid decision paralysis. Instead of relying on external metadata, run relative real-world benchmarks and evaluate past historic decisions to enrich your routing data. This approach ensures you match the right model to the task based on speed, quality, and cost.

"Unless you have models with distinct differences, do not add more to the pool."