I've been working on that since last year, and notably on GPT-3 and other models on textbooks specifically with a publisher since September - here's how we convinced people: https://www.youtube.com/watch?v=7V3VkNj2bag
The problem is the tech can be wrong and that destroys retention. You need to a) verify statements b) consider citing statements c) Identify out-of-domain or "base GPT model response" answer.
All I can say is it has been incredibly hard so far, but we've made noticeable progress recently, and hit recall of 98% for psychology. Having been in OPs shoes, I wouldn't underestimate how temporary traction or a UI doesn't make up for bad retention for these products... it's the core engineering and NLP focus that matters (that's our bet anyway!)
The problem is the tech can be wrong and that destroys retention. You need to a) verify statements b) consider citing statements c) Identify out-of-domain or "base GPT model response" answer.
All I can say is it has been incredibly hard so far, but we've made noticeable progress recently, and hit recall of 98% for psychology. Having been in OPs shoes, I wouldn't underestimate how temporary traction or a UI doesn't make up for bad retention for these products... it's the core engineering and NLP focus that matters (that's our bet anyway!)