- inspect and understand the downloaded data in directory /path/..., then come up with an sqlite data model for doing detailed analytics and ingest everything into an sqlite db in data.sqlite, and document the model in model.md.
Then you can query the database adhoc pretty easily with codex prompts (and also generate PDF graphs as needed.)
I typically use the highest reasoning level for the initial prompt, and as I get deeper into the data, continuously improve on the model, indexes, etc., and just have codex handle any data migration.
Out of curiosity, I tinkered with it using Claude to see trends and patterns (I did find a few embarrassing things about me!).
(since AI can now answer many questions that might have been topics of conversation; people can use AI to participate; people may be reluctant to participate if AI can data mine everything and link it back to them, etc. similar to Stack Overflow)
Am I reading that right?