My productivity app is a never-ending .txt file (2020)

Something like this would be perfect for a local LLM assistant.

Not sure why you're getting downvoted, but I agree at least in principle. There should be some means to index/search this kind of semi-structured text. Summaries are also nice, but not as useful to me at least.

Like the author I also do tagging, but in the real world some notes will eventually slip through the cracks. Even when it's just one, that's probably the one you're looking for. :)

Agreed. I'm working on a small GUI that just appends to a local .ndjson file. A user just posts with a text box into a feed. Like a one person chat or tweeting into the void. And a local LLM picks apart metadata, storing just enough to index where answers to future questions will be. Then you can use slash commands to get at the analysis like "/tasks last month" or "/summarize work today" etc.

Either grep or hyperstraier. You don't need an LLM.

A LLM may be able to give you all the paragraphs referring to frobnicating widget X including misspellings and notes not referring to it by name.

It's "AI" right? It could right?