[AleksMisztal]

Hey, no api yet. Generally our users find it very good for help with short range tasks, especially exploratory ones, where error tolerance is higher. For api use cases usually the reliability requirements are higher. We did build a way to extract data from many spreadsheets at once for one of our enterprise pilots. For another, we are experimenting with running this with a human in the loop so that we can give higher reliability guarantees while still getting the speed up from AI. Curious what's your use case?

[bitowaqr]

health economic models built for pharma. You often have one base model and then have to generate multiple country adaptations, which also require updates to a report (which can be ~100 pages). Right now, this is a manual task for which consultancies charge up to $100K+. Reliability is indeed crucial though, but human in the loop might be fine.