Here is the default approach to evaluating agent output in 2026: take the output, send it to another LLM, ask that LLM to judge quality, and trust the result.

This is the approach most eval frameworks use. And it has two problems that nobody talks about enough.

First, it is slow and expensive. Every evaluation requires an LLM inference call....