1 task. April 1, 2026 closed at 15.0x weighted leverage across 1.0 human-equivalent hours in 4 minutes of wall-clock time. Supervisory leverage came in at 60.0x.
That is 0.0 weeks of human-equivalent throughput in 0.1 hours. The ceiling was 15.0x; the floor was 15.0x. The day's work was spread across several areas.
Task Log
| # | Task | Human Est. | Claude | Sup. | Factor |
|---|---|---|---|---|---|
| 1 | Fix 2 empty lessons from content audit (GCP PCDOE + AWS MLA) — regenerate ~9.7K chars each | 1.0h | 4m | 1m | 15.0x |
Aggregate Statistics
| Metric | Value |
|---|---|
| Total tasks | 1 |
| Total human-equivalent hours | 1.0 |
| Total Claude minutes | 4 |
| Total supervisory minutes | 1 |
| Total tokens | 28,000 |
| Weighted average leverage factor | 15.0x |
| Weighted average supervisory leverage factor | 60.0x |
| Human-equivalent weeks | 0.0 |
Analysis
The highest factor of the day came in at 15.0x and the lowest at 15.0x, a spread of 1.0 times between the two. That is a narrow range, which tends to happen when a day stays inside one kind of work.
The largest single entry accounted for 1.0 of the 1.0 human-equivalent hours, or 100 percent of the day. One task carrying that much of the total is worth noting; the average is doing less work than it appears to.
Supervisory time was 1 minutes against 4 minutes of execution, a ratio of about 1 to 4. Supervisory leverage of 60.0x 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.