player analytics

A Linux-first, bash-friendly guide to building a transparent, low-cost AI player analytics pipeline: ingest JSONL events, use jq and Bash to engineer per-player features, train a Python K-Means segmentation model, write results to CSV/SQLite, visualize with gnuplot, and automate via a single script and cron to boost retention, monetization, and design insights without black-box tools.