11 tasks. March 20, 2026 closed at 63.5x weighted leverage across 162.0 human-equivalent hours in 153 minutes of wall-clock time. Supervisory leverage came in at 216.0x.
That is 4.0 weeks of human-equivalent throughput in 2.5 hours. The ceiling was 160.0x; the floor was 11.2x. 9 of the 11 entries came from a single project.
Task Log
| # | Task | Human Est. | Claude | Sup. | Factor |
|---|---|---|---|---|---|
| 1 | Documentation | 120.0h | 45m | 5m | 160.0x |
| 2 | Research | 6.0h | 8m | 5m | 45.0x |
| 3 | Write four novel scenes (hospital/origin/day-to-day/diner) matching existing voice | 8.0h | 12m | 5m | 40.0x |
| 4 | Write fictional Engram Fabric [ip-filing] application for novel worldbuilding | 6.0h | 12m | 3m | 30.0x |
| 5 | Create careers.html and investors.html pages for StrataForge website plus nav updates across all existing pages | 3.0h | 8m | 3m | 22.5x |
| 6 | Documentation | 3.0h | 8m | 3m | 22.5x |
| 7 | Write three novel scenes (Nadia motivation + Cillian call + woodshop) and insert into existing chapters | 4.0h | 12m | 5m | 20.0x |
| 8 | Sync all background docs with current novel state (~66K words) — 16 files updated across character profiles timeline outline synopsis query materials | 6.0h | 20m | 5m | 18.0x |
| 9 | Content production | 3.0h | 12m | 5m | 15.0x |
| 10 | Update Dragon Tattoo comparative analysis to reflect current novel state (~59K words) | 1.5h | 8m | 3m | 11.2x |
| 11 | Research | 1.5h | 8m | 3m | 11.2x |
Aggregate Statistics
| Metric | Value |
|---|---|
| Total tasks | 11 |
| Total human-equivalent hours | 162.0 |
| Total Claude minutes | 153 |
| Total supervisory minutes | 45 |
| Total tokens | 1,030,000 |
| Weighted average leverage factor | 63.5x |
| Weighted average supervisory leverage factor | 216.0x |
| Human-equivalent weeks | 4.0 |
Analysis
The highest factor of the day came in at 160.0x and the lowest at 11.2x, a spread of 14.2 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 162.0 human-equivalent hours, or 74 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 45 minutes against 153 minutes of execution, a ratio of about 1 to 3. Supervisory leverage of 216.0x 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.