7 tasks. June 2, 2026 closed at 27.1x weighted leverage across 124.0 human-equivalent hours in 275 minutes of wall-clock time. Supervisory leverage came in at 354.3x.
That is 3.1 weeks of human-equivalent throughput in 4.6 hours. The ceiling was 80.0x; the floor was 7.9x. 7 of the 7 entries came from a single project.
Task Log
| # | Task | Human Est. | Claude | Sup. | Factor |
|---|---|---|---|---|---|
| 1 | Full accessibility audit + fix across all four avian-app clients (web/electron/android/ios): jsx-a11y errors, label associations, autofocus, tablist roles, jsx-a11y plugin + axe coverage 8->40, 100+ Compose… | 80.0h | 60m | 3m | 80.0x |
| 2 | Full WCAG 2.1 AA accessibility audit across all 4 avian-app clients (web/electron source + 39-route axe sweep; 11 mechanical fixes, 3 false positives triaged, ledger reconciled, native heuristics) | 7.0h | 8m | 2m | 52.5x |
| 3 | Run full accessibility audit across all four avian-app clients (web/electron/iOS/Android) — hand-created Android AVD, booted sim+emulator, ran axe-sweep/vitest/XCUITest/Espresso a11y suites | 4.0h | 9m | 1m | 26.7x |
| 4 | Fix iOS + Android accessibility audit failures: 44pt hit-target on All Courses button + opaque-white hero subtitles (contrast) + accessibilityHidden on decorative SF Symbols; repair Android Compose a11y test… | 3.0h | 13m | 1m | 13.8x |
| 5 | Resume avian-[engine subsystem] OMNISCIENT-ONLY cloud sweeps: diagnose OOM root cause, generate 42 omni profiles, write concurrency-capped batching runner, bring up engine+[engine subsystem] backend at hard… | 5.0h | 27m | 2m | 11.1x |
| 6 | Finish AP Precalc math content: fix 3 [content generation] bugs (rep_pack schema-drop, judge-pool deadlock, id-collision), Sonnet regen of 38 goals, standalone re-judge of 381 items, prune to 0… | 20.0h | 120m | 6m | 10.0x |
| 7 | Audit and review | 5.0h | 38m | 6m | 7.9x |
Aggregate Statistics
| Metric | Value |
|---|---|
| Total tasks | 7 |
| Total human-equivalent hours | 124.0 |
| Total Claude minutes | 275 |
| Total supervisory minutes | 21 |
| Total tokens | 1,789,000 |
| Weighted average leverage factor | 27.1x |
| Weighted average supervisory leverage factor | 354.3x |
| Human-equivalent weeks | 3.1 |
Analysis
The highest factor of the day came in at 80.0x and the lowest at 7.9x, a spread of 10.1 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 80.0 of the 124.0 human-equivalent hours, or 65 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 21 minutes against 275 minutes of execution, a ratio of about 1 to 13. Supervisory leverage of 354.3x 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.