1 task. May 23, 2026 closed at 33.6x weighted leverage across 28.0 human-equivalent hours in 50 minutes of wall-clock time. Supervisory leverage came in at 336.0x.
That is 0.7 weeks of human-equivalent throughput in 0.8 hours. The ceiling was 33.6x; the floor was 33.6x. The day's work was spread across several areas.
Task Log
| # | Task | Human Est. | Claude | Sup. | Factor |
|---|---|---|---|---|---|
| 1 | Math content shapes for [ip-cluster] [content generation]: three new content shapes (symbolic problems, modeling problems) + math [engine subsystem] verdict schema. libs/[ip-cluster]-runtime +… | 28.0h | 50m | 5m | 33.6x |
Aggregate Statistics
| Metric | Value |
|---|---|
| Total tasks | 1 |
| Total human-equivalent hours | 28.0 |
| Total Claude minutes | 50 |
| Total supervisory minutes | 5 |
| Total tokens | 350,000 |
| Weighted average leverage factor | 33.6x |
| Weighted average supervisory leverage factor | 336.0x |
| Human-equivalent weeks | 0.7 |
Analysis
The highest factor of the day came in at 33.6x and the lowest at 33.6x, 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 28.0 of the 28.0 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 5 minutes against 50 minutes of execution, a ratio of about 1 to 10. Supervisory leverage of 336.0x 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.