I have deployed it for you to try out, I’ve had lots of fun with it! 
Keep in mind that it’s just a POC and might have some bugs. There are some features that might not make sense in the context of tree node management but I was too lazy to delete them
The prerequisites to test the application:
- Signing in via Google OAuth
- Providing an OpenAI API key - (I suggest that you create a temporary API key which you delete after you’re done playing around!)
There are five actions that can be done to a node from the UI:
- Add child node
- Remove node
- Edit node
- Mark as done (only possible on leaf nodes)
- Toggle collapse node (by double-clicking on the node)
I recommend adding some initial child nodes before sending instructions to OpenAI. Please note that the processing time gets slower as the tree grows, but the results also become more accurate. I haven’t really tried optimizing it yet but I’m sure it’s possible.
Sometimes the ai operation returns invalid JSON, usually resending the command fixes it.
Some commands you try:
- Collapse all nodes that has a title that starts with the letter “L”
- Delete the
Xnode - Move **
X**node to be a descendant ofY - Add descriptions to all nodes
- Mark all nodes that are related to
Xas done - Add 5 more nodes with relevant titles under
X - etc.
Enjoy, and let me know about any interesting findings you do! It really opens up so many possibilities not only with tree structures but with data lists if done properly!