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I have to admit, I don't get it. (And I want to be clear that's a personal statement, not an overall comment on the app. It looks quite well done, and if others

I have to admit, I don't get it. (And I want to be clear that's a personal statement, not an overall comment on the app. It looks quite well done, and if others get value from it, awesome!) But for me, I'm stuck with questions. What's the point of drawing connectors, there seems no implied data flow? Is this just for you as a reminder of the hierarchy of your queries? Or do you actually set the upstream chat as a context, and reflow the whole thing if you change upstream queries? (That one would definitely be fun to play with - still not sure about long-term value, but def. interesting) Good luck, and looking forward to see where you're taking this!

setnone 2y ago
Thank you! Like I mentioned earlier for me the app is canvas-based first, node-based second. So connections are a tool, a visual tool to craft or manage prompt to then feed it to LLM. Canvas is a visual tool to organize and keep large amounts of chats. I try use LLM not for the sake of chatting, but to get results and those tools seem to help me with that. Hope that makes sense.
jonnycoder 2y ago
Seems like organized chatGPT in the form of mind mapping. It’s quite intuitive to me because I’ve had some chats where I kept scrolling back to the first gpt response. Therefore, you can map out a question and answer, then create nodes for follow up about specific details. Each branch of the tree structure can organize a rabbit hole of follow ups on a specific topic.