7 tasks. June 9, 2026 closed at 13.4x weighted leverage across 50.5 human-equivalent hours in 226 minutes of wall-clock time. Supervisory leverage came in at 216.4x.
That is 1.3 weeks of human-equivalent throughput in 3.8 hours. The ceiling was 16.6x; the floor was 8.4x. 5 of the 7 entries came from a single project.
Task Log
| # | Task | Human Est. | Claude | Sup. | Factor |
|---|---|---|---|---|---|
| 1 | Design and frontend | 16.0h | 58m | 1m | 16.6x |
| 2 | Deployment | 10.0h | 40m | 4m | 15.0x |
| 3 | Documentation | 7.0h | 30m | 1m | 14.0x |
| 4 | Infrastructure | 8.0h | 38m | 3m | 12.6x |
| 5 | Deployment | 3.5h | 20m | 1m | 10.5x |
| 6 | Deployment | 2.5h | 15m | 2m | 10.0x |
| 7 | Testing | 3.5h | 25m | 2m | 8.4x |
Aggregate Statistics
| Metric | Value |
|---|---|
| Total tasks | 7 |
| Total human-equivalent hours | 50.5 |
| Total Claude minutes | 226 |
| Total supervisory minutes | 14 |
| Total tokens | 4,540,000 |
| Weighted average leverage factor | 13.4x |
| Weighted average supervisory leverage factor | 216.4x |
| Human-equivalent weeks | 1.3 |
Analysis
The highest factor of the day came in at 16.6x and the lowest at 8.4x, a spread of 2.0 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 16.0 of the 50.5 human-equivalent hours, or 32 percent of the day. No single task dominated the total, so the weighted average is representative.
Supervisory time was 14 minutes against 226 minutes of execution, a ratio of about 1 to 16. Supervisory leverage of 216.4x 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.