AI Token Burn

Daily token volume across Claude Code and Codex, counted exactly from local logs, plus a labeled estimate band for chat tools that report no tokens. Measured lanes are never summed with estimates.

Daily token burn

Weekly total line: log y-scale; daily cells: log color scale

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What is driving the burn?

Sorted by tool and project; exact lanes plus separated estimate

Driver	Trend	Share	Total

Model mix

Share of Claude Code tokens by model — stacked by volume, intensity = tokens/active day

Work phases

Share of Claude Code tool actions — heuristic, not annotated

Mix per week →

Spec verification

Numbers from test/verify output — partial (only saved runs)

Pass / fail per week →

Trend

Exact lanes only — estimates excluded

Recent days

Last 14 active days, Pacific-agnostic local dates

Date	Total	Claude Code	Codex	ChatGPT

Scale equivalents

Fermi estimates from the current measured total

Measure	Equivalent	Basis