Rating content in a dataset to determine if we need to review it as I'm standardizing a large dataset right now to improve user experience. It's a relatively mundane activity but I think this is tentatively a good method. I've been exploring ways to use it for a bunch of ideas, like distance between ideas and reflecting back to users on how their messages might land with others. I think this idea of accelerating self reflection is a big use case for AI.

This sounds interesting. Are there other examples of this out in the wild? Any plans to blog/write about it? I'm curious to learn more.

I haven't seen any tho I haven't really been looking. Mostly it's messing with prompts and looking at data. I hope to write about it eventually, tho probably in the context of the self reflection use case. I don't think a lot of people are barking up this tree yet and it's important.