Thanks for the clarification! Yes, I see now that auto-evals here is more AI agent-ish, than a one-shot approach. Still has the trust issue.

For suggestions, one thing I'm curious about is how we can have out-of-the-box benchmark datasets and do this responsibly. ChainForge supports most OpenAI evals, but from adding this we realized the quality of OpenAI Evals is really _sketchy_... duplicate data, questionable metrics, etc. OpenAI has shown that trusting the community to make benchmarks is perhaps not a good idea; we should instead make it easier for scientists/engineers to upload their benchmarks and make it easier for others to run them. That's one thought, anyway.