Wanted to see if anyone at a Seed - Series A startup has found success with AI eval platforms? We’re shipping new/improving existing AI features pretty regularly and our existing workflows are pretty solid except we don’t have much testing or tracing for our AI-generated outputs.

We’re find that even small prompt tweaks or swapping to the newest model can quietly break output quality in ways that don't surface until a user notices. And right now we’ve got nothing automated that catches that before it ships. I've started looking into eval checks as an actual CI step with the hopes we can block merges if outputs fall below some threshold. Obviously a lot of eval platforms out there but haven’t seen many startups our size adopting those tools yet.

Not trying to add a bunch of work to the team but just hoping to get some core testing in place.