If you and others have any insights to share on structuring that benchmark, I'm all ears.

There a new model seemingly every week so finding a way to evaluate them repeatedly would be nice.

The answer may be that it's so bespoke you have to handroll every time, but my gut says there's a set of best practiced that are generally applicable.

Generally, the easiest:

1. Sample a set of prompts / answers from historical usage.

2. Run that through various frontier models again and if they don't agree on some answers, hand-pick what you're looking for.

3. Test different models using OpenRouter and score each along cost / speed / accuracy dimensions against your test set.

4. Analyze the results and pick the best, then prompt-optimize to make it even better. Repeat as needed.