20 tasks. July 30, 2026 closed at 45.1x weighted leverage across 1,243.0 human-equivalent hours in 1,654 minutes of wall-clock time. Supervisory leverage came in at 745.8x.
That is 31.1 weeks of human-equivalent throughput in 27.6 hours. The ceiling was 160.0x; the floor was 6.5x. 16 of the 20 entries came from a single project.
Task Log
| # | Task | Human Est. | Claude | Sup. | Factor |
|---|---|---|---|---|---|
| 1 | Parental-consent + guardian design: located learner-history artifact, raised 14 open questions cross-checked vs avian-classroom-web, then resolved all into ADR-0017 (minor identity, guardian projection,… | 120.0h | 45m | 8m | 160.0x |
| 2 | Unified design + layer-grouped phased implementation plan for AccelaStudy AI English (IELTS/TOEFL) and Languages (30 world languages): ground-truth survey of 9 repos correcting 5 stale planning docs,… | 80.0h | 35m | 5m | 137.1x |
| 3 | AVIAN Enterprise: four-doc set (requirements/design/testing-strategy/README) + phased implementation plan organized by layer for cross-product batching | 56.0h | 28m | 4m | 120.0x |
| 4 | AVIAN web UI/UX redesign program: 45-package overnight multi-agent orchestration (visual stability, bundle 3.1MB->508KB, Today-first Dashboard, course 5-tab redesign, Progress hub, Review Queue, nav… | 400.0h | 400m | 8m | 60.0x |
| 5 | Deployment | 280.0h | 300m | 10m | 56.0x |
| 6 | Manual test plan for auth/sign-in/compliance/GDPR/purchasing: 5-agent codebase recon + 155 grounded test cases… | 32.0h | 35m | 3m | 54.9x |
| 7 | Review 5 initiative doc sets and write consolidated August master build plan with remote-[content generation] track | 32.0h | 45m | 5m | 42.7x |
| 8 | LSAT domain spec + content + activity roster audit and remediation plan | 14.0h | 25m | 3m | 33.6x |
| 9 | Audit and review | 14.0h | 26m | 4m | 32.3x |
| 10 | Documentation | 12.0h | 26m | 3m | 27.7x |
| 11 | onboarding-service deprecation: repoint electron/iOS/GDPR-Lambda to avian-api, sweep references across 14 repos, reconcile canonical counts, archive prep | 12.0h | 30m | 2m | 24.0x |
| 12 | Deployment | 90.0h | 230m | 15m | 23.5x |
| 13 | AccelaStudy AI v1.1 release notes: review ~400 commits across 9 repos (web/engine/api/domains/sims/activities/auth/notifications/site), roll up to 16 impact-ranked customer-facing features, rewrite… | 10.0h | 32m | 5m | 18.8x |
| 14 | Revise master build plan to Rev 2: shipping increments + august branch + [ip-cluster] track + artifacts backlog sweep | 10.0h | 35m | 4m | 17.1x |
| 15 | Debugging | 20.0h | 77m | 3m | 15.6x |
| 16 | Deployment | 40.0h | 155m | 10m | 15.5x |
| 17 | Rev 2.1 + durable august program tracker (STATE ledger prompt pack resume wiring) | 6.0h | 25m | 4m | 14.4x |
| 18 | Infrastructure | 4.0h | 22m | 1m | 10.9x |
| 19 | Deployment | 5.0h | 28m | 1m | 10.7x |
| 20 | Design and frontend | 6.0h | 55m | 2m | 6.5x |
Aggregate Statistics
| Metric | Value |
|---|---|
| Total tasks | 20 |
| Total human-equivalent hours | 1,243.0 |
| Total Claude minutes | 1,654 |
| Total supervisory minutes | 100 |
| Total tokens | 28,155,000 |
| Weighted average leverage factor | 45.1x |
| Weighted average supervisory leverage factor | 745.8x |
| Human-equivalent weeks | 31.1 |
Analysis
The highest factor of the day came in at 160.0x and the lowest at 6.5x, a spread of 24.4 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 120.0 of the 1,243.0 human-equivalent hours, or 10 percent of the day. No single task dominated the total, so the weighted average is representative.
Supervisory time was 100 minutes against 1,654 minutes of execution, a ratio of about 1 to 17. Supervisory leverage of 745.8x 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.