7 tasks. April 14, 2026 closed at 14.2x weighted leverage across 144.0 human-equivalent hours in 608 minutes of wall-clock time. Supervisory leverage came in at 149.0x.
That is 3.6 weeks of human-equivalent throughput in 10.1 hours. The ceiling was 76.8x; the floor was 5.7x. 5 of the 7 entries came from a single project.
Task Log
| # | Task | Human Est. | Claude | Sup. | Factor |
|---|---|---|---|---|---|
| 1 | Deploy velvet-rope login page (app-shell 0.1.4) across all 15 tools — CodeArtifact publish + per-tool package.json bump + CI/CD pushes | 32.0h | 25m | 3m | 76.8x |
| 2 | AccelaStudy course pages: add course outline + hands-on labs sections | 5.0h | 8m | 6m | 37.5x |
| 3 | Fleet API uniformity: remove legacy /api from 3 tools, fix CodeBuild INSTANCE_ID (8), arm64 buildx + SSM polling propagation (14), fix codex AUTH_DISABLED security bug, force-redeploy stale containers | 48.0h | 90m | 4m | 32.0x |
| 4 | Debugging | 10.0h | 25m | 3m | 24.0x |
| 5 | Deployment | 4.0h | 10m | 2m | 24.0x |
| 6 | Redesign auth-service login UI with velvet-rope aesthetic (light+dark), wordmark from VITE_APP_TITLE env var, split Docker build per deployment (AccelaStudy vs Renkara tools fleet) | 5.0h | 30m | 5m | 10.0x |
| 7 | Debugging | 40.0h | 420m | 35m | 5.7x |
Aggregate Statistics
| Metric | Value |
|---|---|
| Total tasks | 7 |
| Total human-equivalent hours | 144.0 |
| Total Claude minutes | 608 |
| Total supervisory minutes | 58 |
| Total tokens | 2,735,000 |
| Weighted average leverage factor | 14.2x |
| Weighted average supervisory leverage factor | 149.0x |
| Human-equivalent weeks | 3.6 |
Analysis
The highest factor of the day came in at 76.8x and the lowest at 5.7x, a spread of 13.4 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 32.0 of the 144.0 human-equivalent hours, or 22 percent of the day. No single task dominated the total, so the weighted average is representative.
Supervisory time was 58 minutes against 608 minutes of execution, a ratio of about 1 to 10. Supervisory leverage of 149.0x 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.