That makes this all the more impressive!! What happens when you get an incorrect interpretation though? That is now in the "previous context bucket". Assuming the user addresses the issue through the LLM layer by talking to through it, do you think that the subsequent interactions could compound the error?

I sometimes face issues with LLMs running out of tokens or only using partial contacts from previous conversations - thereby repeating or compounding on previous incorrect responses.

Any thoughts on how to tackle that? Or is that too abstract a problem/beyond the scope to address at the moment?