Data
My AI usage, in the open
Token volume, harness breakdown, model evolution, and cache efficiency — snapshotted fromccusageat the end of each month. I'm on a flat Team subscription, so the API-equivalent dollar values are hypothetical — but the token counts and patterns are real.
Last updated: May 2026
Total tokens
7.1B
across 4 months
API-equivalent value
$4167
at API rates (subscription pays flat)
Cache hit rate
98%
reads vs writes — higher is better
Harnesses used
4
Claude Code, Codex, OpenCode, Hermes
Monthly token volume by harness
Harness distribution
Token volume by model provider
Model evolution — which models I actually used each month
Same vendor, different model each month shows AI tooling churn. Colors group by provider family; shades distinguish models within the same vendor.
Cache efficiency — writes vs reads
Cache reads are ~10× cheaper than writes. A healthy session has a small write spike at start, then overwhelmingly reads.