10 tasks. February 25, 2026 closed at 62.3x weighted leverage across 271.0 human-equivalent hours in 261 minutes of wall-clock time. Supervisory leverage came in at 318.8x.
That is 6.8 weeks of human-equivalent throughput in 4.3 hours. The ceiling was 120.0x; the floor was 18.0x. 4 of the 10 entries came from a single project.
Task Log
| # | Task | Human Est. | Claude | Sup. | Factor |
|---|---|---|---|---|---|
| 1 | 8x8 Contact Center recording export to S3 (27 files 2481 LOC 38 tests) | 24.0h | 12m | 5m | 120.0x |
| 2 | AVIAN Production API (6 phases: session loop + stubs + spec endpoints + events + origin + demo migration) | 120.0h | 90m | 12m | 80.0x |
| 3 | Remove ~170 phantom numerals + fix remaining collisions (G/H/I/J/K) + improve legibility + audit coverage A-K + regen 11 packages | 32.0h | 25m | 5m | 76.8x |
| 4 | Move resource inventory to PostgreSQL with scan snapshots | 24.0h | 25m | 5m | 57.6x |
| 5 | Distinction Engine (backend+frontend adaptive learning loop) | 40.0h | 45m | 8m | 53.3x |
| 6 | Video content moderation SageMaker Pipelines article (4580 words 7 tables 2 diagrams) | 8.0h | 12m | 4m | 40.0x |
| 7 | Video content moderation Step Functions article (4674 words 8 tables 2 diagrams) | 8.0h | 12m | 4m | 40.0x |
| 8 | ElevenLabs voice integration article for Claude Code (2800 words 4 tables 2 diagrams) | 6.0h | 12m | 3m | 30.0x |
| 9 | Video content moderation comparison article (managed vs OSS) | 6.0h | 18m | 3m | 20.0x |
| 10 | Create avian-domains repo: extract 49 domain specs + 9 packages from [ip] portfolio to new private repo with updated cross-repo references | 3.0h | 10m | 2m | 18.0x |
Aggregate Statistics
| Metric | Value |
|---|---|
| Total tasks | 10 |
| Total human-equivalent hours | 271.0 |
| Total Claude minutes | 261 |
| Total supervisory minutes | 51 |
| Total tokens | 1,610,000 |
| Weighted average leverage factor | 62.3x |
| Weighted average supervisory leverage factor | 318.8x |
| Human-equivalent weeks | 6.8 |
Analysis
The highest factor of the day came in at 120.0x and the lowest at 18.0x, a spread of 6.7 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 24.0 of the 271.0 human-equivalent hours, or 9 percent of the day. No single task dominated the total, so the weighted average is representative.
Supervisory time was 51 minutes against 261 minutes of execution, a ratio of about 1 to 5. Supervisory leverage of 318.8x 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.