Best way to do AI with tennis statistics data
I’m building an AI system for tennis/pickleball that analyzes user-submitted stats (we collect a lot of data) and generates insights like: what strategies work against a given opponent, what parts of your game to focus on, patterns in your shot selection, etc.
I’m trying to figure out whether Workers AI is a good fit for something like this. Would it make sense to process all the data through Workers AI on demand, or would I need some kind of persistent memory layer for personalized, long-term insights? I’d love to have per-user “memory,” but I’m not sure if it’s necessary or if I should just upload the data to Workers and compute everything statelessly.
I haven’t built anything like this before, so I’m a little lost on where to start. Any guidance or examples would be super appreciated!
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