16 tasks. August 2, 2026 closed at 27.9x weighted leverage across 460.0 human-equivalent hours in 988 minutes of wall-clock time. Supervisory leverage came in at 388.7x.
That is 11.5 weeks of human-equivalent throughput in 16.5 hours. The ceiling was 141.2x; the floor was 4.2x. 6 of the 16 entries came from a single project.
Task Log
| # | Task | Human Est. | Claude | Sup. | Factor |
|---|---|---|---|---|---|
| 1 | Documentation | 120.0h | 51m | 4m | 141.2x |
| 2 | Infrastructure | 120.0h | 63m | 3m | 114.3x |
| 3 | Audit and review | 20.0h | 27m | 8m | 44.0x |
| 4 | Documentation | 21.0h | 38m | 2m | 33.2x |
| 5 | Testing | 40.0h | 75m | 5m | 32.0x |
| 6 | Content production | 5.0h | 13m | 2m | 23.1x |
| 7 | Audit and review | 8.0h | 25m | 3m | 19.2x |
| 8 | Restored the production engine build path end-to-end: root-caused a cross-account teardown (staging had zero ECR repos + no CodeBuild source bucket; prod had zero CodeBuild projects), rebuilt CodeBuild in the… | 20.0h | 74m | 6m | 16.2x |
| 9 | Deployment | 9.0h | 35m | 4m | 15.4x |
| 10 | Deployment | 6.0h | 28m | 3m | 12.9x |
| 11 | Deployment | 20.0h | 96m | 4m | 12.5x |
| 12 | Testing | 14.0h | 68m | 6m | 12.4x |
| 13 | Infrastructure | 34.0h | 195m | 12m | 10.5x |
| 14 | Testing | 14.0h | 90m | 4m | 9.3x |
| 15 | Deployment | 4.0h | 38m | 3m | 6.3x |
| 16 | Kill AWS CodeArtifact fleet-wide: repoint global npmrc to Verdaccio, write global CLAUDE.md registry guidance, verify Verdaccio superset, delete CodeArtifact domain+repos, re-point 54 lockfiles (10370 URLs)… | 5.0h | 72m | 2m | 4.2x |
Aggregate Statistics
| Metric | Value |
|---|---|
| Total tasks | 16 |
| Total human-equivalent hours | 460.0 |
| Total Claude minutes | 988 |
| Total supervisory minutes | 71 |
| Total tokens | 10,455,000 |
| Weighted average leverage factor | 27.9x |
| Weighted average supervisory leverage factor | 388.7x |
| Human-equivalent weeks | 11.5 |
Analysis
The highest factor of the day came in at 141.2x and the lowest at 4.2x, a spread of 33.9 times between the two. That is a wide range for a single day, and it usually means the day mixed mechanical work with work that needed real judgement.
The largest single entry accounted for 120.0 of the 460.0 human-equivalent hours, or 26 percent of the day. No single task dominated the total, so the weighted average is representative.
Supervisory time was 71 minutes against 988 minutes of execution, a ratio of about 1 to 14. Supervisory leverage of 388.7x is the figure I find most honest, because it measures the hours I actually spent rather than the hours a machine spent on my behalf.
Every figure here is recorded at the time the work is done rather than reconstructed afterwards. The human estimate is my own judgement and carries the uncertainty that implies; the minutes and tokens are measured. The full dataset, including this day, is available for download.