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!
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!
Welcome to the official Cloudflare Developers server. Here you can ask for help and stay updated with the latest news
85,042Members
Resources
Recent Announcements
Similar Threads
Was this page helpful?
