OK, I've had a chance to play with it in earnest.
First: my sense is that for most use cases, this will begin to feel gimmicky rather quickly and that you will do better by specializing rather than positioning yourself next to ChatGPT, which answers my questions without too much additional ceremony.
If you have any diehard users, I suspect they will cluster around very particular use cases, say business users trying to create quick internal tools, users who want to generate a quick app on mobile, scientists that want quick apps to validate data. Focusing on those clusters (your actual ones, not these specific examples) and building something optimized for their use cases seems likelier to be a stronger long term play for you
Secondly, I asked it to prove a theorem, and it gave me a link to a proof. This is fine, since LLM generated math proofs are a bit of a mess, but I was surprised that it didn't offer any visualizations or anything further. I then asked it for numerical experiments that support the conjecture, and it just showed me some very generic code and print statements for a completely different problem, unrelated to what I asked about. Not very compelling
Finally, and least important really: please stop submitting my messages when I hit return/enter! Many of us like to send more complex multi-line queries to LLMs
Good luck