Ingests gameplay logs to segment players by behavior, predict churn risk, and simulate pricing adjustments for retention.
Verified 2026-07-07
You automatically segment players by analyzing their gameplay logs to predict who is at risk of churning. This workflow simulates pricing adjustments so you can test retention strategies without manual data processing.
OpenAI Chat Model : LLM inference for agent reasoning
Embeddings OpenAI : Creating player behavior vectors
Calculator : Statistical analysis of metrics
Simple Vector Store : Storing and retrieving behavioral embeddings
This is what I do. I design and build AI agents like this one, and keep them running. If you want it set up for your team instead of doing it yourself, get in touch.
Get in touchBuilt for developers who want the busywork around code automated, not the code itself.
developers and engineers, or anyone doing data & analytics work who wants this handled automatically rather than manually.
A bigger project: plan for a few focused days to get it running end to end.