29 tasks. April 4, 2026 closed at 54.1x weighted leverage across 1,426.0 human-equivalent hours in 1,581 minutes of wall-clock time. Supervisory leverage came in at 574.2x.
That is 35.6 weeks of human-equivalent throughput in 26.4 hours. The ceiling was 654.5x; the floor was 7.5x. 10 of the 29 entries came from a single project.
Task Log
| # | Task | Human Est. | Claude | Sup. | Factor |
|---|---|---|---|---|---|
| 1 | Design and frontend | 240.0h | 22m | 5m | 654.5x |
| 2 | Coding | 80.0h | 15m | 3m | 320.0x |
| 3 | Design and frontend | 120.0h | 25m | 5m | 288.0x |
| 4 | Design and frontend | 40.0h | 12m | 10m | 200.0x |
| 5 | Design and frontend | 24.0h | 8m | 5m | 180.0x |
| 6 | Testing | 40.0h | 18m | 2m | 133.3x |
| 7 | Coding | 200.0h | 90m | 20m | 133.3x |
| 8 | Dual auth-service architecture: browse-before-auth UX, site key gate, Twilio Verify, REGISTRATION_MODE, renkara auth infra (ALB/DNS/SSM), avian-admin OIDC, tools auth migration to auth.renkara.com,… | 120.0h | 55m | 15m | 130.9x |
| 9 | Coding | 24.0h | 12m | 8m | 120.0x |
| 10 | Testing | 80.0h | 45m | 3m | 106.7x |
| 11 | Coding | 16.0h | 10m | 3m | 96.0x |
| 12 | Coding | 12.0h | 8m | 5m | 90.0x |
| 13 | Coding | 24.0h | 18m | 5m | 80.0x |
| 14 | Design and frontend | 12.0h | 12m | 2m | 60.0x |
| 15 | Debugging | 20.0h | 22m | 3m | 54.5x |
| 16 | Testing | 16.0h | 18m | 5m | 53.3x |
| 17 | Testing | 16.0h | 20m | 3m | 48.0x |
| 18 | Coding | 4.0h | 5m | 5m | 48.0x |
| 19 | Infrastructure | 3.0h | 4m | 5m | 45.0x |
| 20 | Infrastructure | 16.0h | 22m | 5m | 43.6x |
| 21 | Build [unreleased product] frontend certification pages: API client, catalog page, detail page, routes, sidebar nav | 4.0h | 6m | 5m | 40.0x |
| 22 | Coding | 8.0h | 12m | 2m | 40.0x |
| 23 | Testing | 8.0h | 12m | 5m | 40.0x |
| 24 | Deployment | 16.0h | 25m | 2m | 38.4x |
| 25 | Infrastructure | 28.0h | 45m | 5m | 37.3x |
| 26 | Testing | 12.0h | 35m | 3m | 20.6x |
| 27 | Documentation | 2.0h | 7m | 3m | 17.1x |
| 28 | Write 12 new free-tier AI/ML/Data domain specs (Deep Learning, NLP, CV, MLOps, Data Eng, LLM App Dev, RL, AI Ethics, Time Series, RecSys, Prompt Eng, Python for Data/ML) with full schema validation + batch… | 240.0h | 990m | 5m | 14.5x |
| 29 | Update avian-website [ip] portfolio numbers (27 filings, 593 claims, 151 inventions, 215 figures, 30 clusters) across 6 files, deploy to production | 1.0h | 8m | 2m | 7.5x |
Aggregate Statistics
| Metric | Value |
|---|---|
| Total tasks | 29 |
| Total human-equivalent hours | 1,426.0 |
| Total Claude minutes | 1,581 |
| Total supervisory minutes | 149 |
| Total tokens | 11,636,500 |
| Weighted average leverage factor | 54.1x |
| Weighted average supervisory leverage factor | 574.2x |
| Human-equivalent weeks | 35.6 |
Analysis
The highest factor of the day came in at 654.5x and the lowest at 7.5x, a spread of 87.3 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 240.0 of the 1,426.0 human-equivalent hours, or 17 percent of the day. No single task dominated the total, so the weighted average is representative.
Supervisory time was 149 minutes against 1,581 minutes of execution, a ratio of about 1 to 11. Supervisory leverage of 574.2x 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.