2 tasks. July 5, 2026 closed at 7.3x weighted leverage across 20.0 human-equivalent hours in 165 minutes of wall-clock time. Supervisory leverage came in at 85.7x.
That is 0.5 weeks of human-equivalent throughput in 2.8 hours. The ceiling was 8.0x; the floor was 6.0x. 2 of the 2 entries came from a single project.
Task Log
| # | Task | Human Est. | Claude | Sup. | Factor |
|---|---|---|---|---|---|
| 1 | Debugging | 14.0h | 105m | 10m | 8.0x |
| 2 | Coding | 6.0h | 60m | 4m | 6.0x |
Aggregate Statistics
| Metric | Value |
|---|---|
| Total tasks | 2 |
| Total human-equivalent hours | 20.0 |
| Total Claude minutes | 165 |
| Total supervisory minutes | 14 |
| Total tokens | 870,000 |
| Weighted average leverage factor | 7.3x |
| Weighted average supervisory leverage factor | 85.7x |
| Human-equivalent weeks | 0.5 |
Analysis
The highest factor of the day came in at 8.0x and the lowest at 6.0x, a spread of 1.3 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 14.0 of the 20.0 human-equivalent hours, or 70 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 14 minutes against 165 minutes of execution, a ratio of about 1 to 12. Supervisory leverage of 85.7x 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.