Daily burn
Local-session heatmap
Log color scale, exact Codex rows, no raw transcript content.
Selected day2026-04-17cleanup
Codex burn57.7M57,659,134 exact tokens
7d average22.2MCodex local token_count events; 335 usage events across 1 session(s).
Codex individual dashboard
Codex token burn by day and work driver.
Exact local Codex usage from session logs, bucketed by Mountain Time. The normalized rows stay independent so this dashboard can later feed the master multi-agent version without losing its own lane.
Codex burn251.9Mselected window
Peak day57.7M2026-04-17
7d average5.9Mmoving average
Active days29rows in view
Weekly trend
Codex burn trend
Weekly sums from the same normalized daily rows.
Source lanes
Individual now, merge-ready later
Codex is exact; other lanes stay zero until their dashboards contribute rows.
exact251.9MCodex / 100%
exact0Claude Code / 0%
estimated0Claude chat / 0%
estimated0ChatGPT / 0%
Drivers
Dominant work families
Labels are heuristic and boring by design: cleanup, shipping, review, research, planning.
cleanup74%
shipping24%
research1%
working1%
planning0%
Scale equivalents
Scale equivalents
Approximate comparisons stay separate from the exact token rows.
Approx. words188.9Mtokens x 0.75 words
Reading time12594h250 words per minute
Novel equivalents2098.990k words per novel
Peak day evidence
cleanup
Codex local token_count events; 335 usage events across 1 session(s).
Date2026-04-17Mountain Time
Burn57.7MCodex exact
Moving-average table
Last 30 days
Codex exact rows stay in their own source lane.
| Date | Total | 7d avg | Codex exact | Claude Code exact | Calls | Claude chat est. | ChatGPT est. | Driver |
|---|---|---|---|---|---|---|---|---|
| 2026-06-05 | 12.1M | 5.9M | 12.1M | 0 | 0 | 0 | 0 | shipping |
| 2026-06-04 | 2.8M | 4.3M | 2.8M | 0 | 0 | 0 | 0 | research |
| 2026-06-03 | 14.4M | 4.0M | 14.4M | 0 | 0 | 0 | 0 | shipping |
| 2026-06-02 | 2.0M | 2.4M | 2.0M | 0 | 0 | 0 | 0 | cleanup |
| 2026-06-01 | 828K | 3.2M | 828K | 0 | 0 | 0 | 0 | cleanup |
| 2026-05-31 | 825K | 3.5M | 825K | 0 | 0 | 0 | 0 | shipping |
| 2026-05-29 | 8.3M | 3.9M | 8.3M | 0 | 0 | 0 | 0 | cleanup |
| 2026-05-28 | 1.1M | 2.7M | 1.1M | 0 | 0 | 0 | 0 | shipping |
| 2026-05-27 | 331K | 2.5M | 331K | 0 | 0 | 0 | 0 | shipping |
| 2026-05-26 | 3.4M | 2.9M | 3.4M | 0 | 0 | 0 | 0 | cleanup |
| 2026-05-25 | 7.9M | 2.5M | 7.9M | 0 | 0 | 0 | 0 | cleanup |
| 2026-05-23 | 2.6M | 3.0M | 2.6M | 0 | 0 | 0 | 0 | cleanup |
| 2026-05-19 | 3.3M | 4.1M | 3.3M | 0 | 0 | 0 | 0 | cleanup |
| 2026-05-18 | 102K | 4.2M | 102K | 0 | 0 | 0 | 0 | cleanup |
| 2026-05-11 | 98K | 5.1M | 98K | 0 | 0 | 0 | 0 | shipping |
| 2026-05-09 | 3.0M | 5.2M | 3.0M | 0 | 0 | 0 | 0 | shipping |
| 2026-05-08 | 154K | 13.0M | 154K | 0 | 0 | 0 | 0 | shipping |
| 2026-04-29 | 11.6M | 21.2M | 11.6M | 0 | 0 | 0 | 0 | cleanup |
| 2026-04-27 | 10.4M | 19.8M | 10.4M | 0 | 0 | 0 | 0 | cleanup |
| 2026-04-26 | 3.8M | 19.8M | 3.8M | 0 | 0 | 0 | 0 | cleanup |
| 2026-04-24 | 6.5M | 20.3M | 6.5M | 0 | 0 | 0 | 0 | cleanup |
| 2026-04-19 | 1.1M | 22.3M | 1.1M | 0 | 0 | 0 | 0 | shipping |
| 2026-04-17 | 57.7M | 22.2M | 57.7M | 0 | 0 | 0 | 0 | cleanup |
| 2026-04-16 | 57.0M | 16.2M | 57.0M | 0 | 0 | 0 | 0 | cleanup |
| 2026-04-10 | 2.3M | 8.1M | 2.3M | 0 | 0 | 0 | 0 | working |
| 2026-04-02 | 9.9M | 9.5M | 9.9M | 0 | 0 | 0 | 0 | cleanup |
| 2026-03-11 | 7.5M | 9.4M | 7.5M | 0 | 0 | 0 | 0 | shipping |
| 2026-03-10 | 20.5M | 10.4M | 20.5M | 0 | 0 | 0 | 0 | shipping |
| 2025-11-04 | 311K | 311K | 311K | 0 | 0 | 0 | 0 | planning |