Evals
10 Aug 2026
A small, hand-rolled harness for checking whether an agent’s output is actually correct, not just well-formed, with a fixed dataset, a scorer per case, and a pass rate.
10 Aug 2026
When correctness is subjective, grade agent output with a second, structured LLM call instead of eyeballing every run.