// Link · 27 May 2026

What Should You Actually Track in AI Usage

TL;DR: AI adoption becomes expensive and inefficient when companies track only usage instead of operational behavior. By separating metrics across engineering and desktop AI tools, monitoring cost per commit, burn rate, latency, cache efficiency, and model routing patterns, we built a clearer pictur...

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