7 tasks. June 6, 2026 closed at 26.8x weighted leverage across 161.5 human-equivalent hours in 362 minutes of wall-clock time. Supervisory leverage came in at 312.6x.
That is 4.0 weeks of human-equivalent throughput in 6.0 hours. The ceiling was 218.2x; the floor was 6.6x. 5 of the 7 entries came from a single project.
Task Log
| # | Task | Human Est. | Claude | Sup. | Factor |
|---|---|---|---|---|---|
| 1 | avian-status coverage backfill: 16% to 95% lines, 31 test files, 263 tests | 40.0h | 11m | 3m | 218.2x |
| 2 | Post-audit remediation + features: quick wins, backup sync of content+weights to 2 buckets, AudioRecorder web parity port + parity-matrix deferred reclassification, engine weights to Git LFS, coverage… | 48.0h | 112m | 10m | 25.7x |
| 3 | Full readiness audit across 52 repos (Phase 0 + 11-agent fan-out, 222 findings) then applied & independently verified 11 code/test/doc fixes + canonical sync + audit-doc 35-repo expansion | 24.0h | 60m | 4m | 24.0x |
| 4 | Audit and review | 40.0h | 107m | 3m | 22.4x |
| 5 | [engine subsystem]-service: raise test coverage from 73.17% to ≥75% by adding 85 unit tests across 4 router/CLI modules | 3.0h | 18m | 4m | 10.0x |
| 6 | clear 85% per-module coverage gate for avian/core and avian/persistence | 3.0h | 22m | 5m | 8.2x |
| 7 | Commit+push verified audit fixes to staging (6 repos, no prod); create private remote for aegis; create staging branches fleet-wide (89/90 repos); debug zsh :r modifier | 3.5h | 32m | 2m | 6.6x |
Aggregate Statistics
| Metric | Value |
|---|---|
| Total tasks | 7 |
| Total human-equivalent hours | 161.5 |
| Total Claude minutes | 362 |
| Total supervisory minutes | 31 |
| Total tokens | 4,689,000 |
| Weighted average leverage factor | 26.8x |
| Weighted average supervisory leverage factor | 312.6x |
| Human-equivalent weeks | 4.0 |
Analysis
The highest factor of the day came in at 218.2x and the lowest at 6.6x, a spread of 33.2 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 40.0 of the 161.5 human-equivalent hours, or 25 percent of the day. No single task dominated the total, so the weighted average is representative.
Supervisory time was 31 minutes against 362 minutes of execution, a ratio of about 1 to 12. Supervisory leverage of 312.6x 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.