27 tasks. March 28, 2026 closed at 26.3x weighted leverage across 222.5 human-equivalent hours in 507 minutes of wall-clock time. Supervisory leverage came in at 148.3x.
That is 5.6 weeks of human-equivalent throughput in 8.4 hours. The ceiling was 90.0x; the floor was 6.7x. 17 of the 27 entries came from a single project.
Task Log
| # | Task | Human Est. | Claude | Sup. | Factor |
|---|---|---|---|---|---|
| 1 | Create Renkara corporate website Home/About/IP pages with full brand compliance | 6.0h | 4m | 3m | 90.0x |
| 2 | Full deployment readiness audit: 37 repos, 321 checks, 4323 tests, 9 issues fixed | 40.0h | 30m | 3m | 80.0x |
| 3 | Create Products overview + 6 product detail pages + Timeline page for Renkara corporate website | 16.0h | 14m | 5m | 68.6x |
| 4 | Deployment readiness audit across all 7 AVIAN clients (67 checks) | 8.0h | 7m | 3m | 68.6x |
| 5 | Testing | 24.0h | 30m | 3m | 48.0x |
| 6 | Port competitive game from avian-app-web to avian-app-electron | 4.0h | 5m | 3m | 48.0x |
| 7 | Deployment readiness audit across all 7 AVIAN client repos (73 checks) | 4.0h | 5m | 3m | 48.0x |
| 8 | Coding | 3.0h | 4m | 3m | 45.0x |
| 9 | Write tests for issue-tracker backend (5 modules: storage/attachments/notifications) to 70%+ coverage | 3.0h | 4m | 3m | 45.0x |
| 10 | Refactoring | 3.0h | 5m | 3m | 36.0x |
| 11 | Rebrand 6 AccelaStudy websites: fonts (Geist to Plus Jakarta Sans) and full color palette update across CSS/HTML | 3.0h | 5m | 3m | 36.0x |
| 12 | Coding | 4.0h | 8m | 3m | 30.0x |
| 13 | Set up comprehensive Playwright e2e tests for issue-tracker frontend CRUD operations | 3.0h | 6m | 3m | 30.0x |
| 14 | Coding | 4.0h | 8m | 3m | 30.0x |
| 15 | Add comprehensive WebSocket broadcasting to all issue-tracker mutation endpoints | 3.0h | 6m | 3m | 30.0x |
| 16 | Create CSS/JS/layout for Renkara corporate website (style.css timeline.css main.js nav footer) | 6.0h | 12m | 3m | 30.0x |
| 17 | Deployment readiness audit for all 4 AVIAN services (12 checks each) | 4.0h | 9m | 3m | 26.7x |
| 18 | Switch all font references to Geist + Geist Mono across tools libs websites accelastudy | 3.0h | 7m | 3m | 25.7x |
| 19 | Switch all client apps from Inter/JetBrains Mono to Geist + Geist Mono fonts across 6 repos | 2.0h | 5m | 3m | 24.0x |
| 20 | Full deployment readiness audit: 37 repos, 292 checks, 4323 tests, 6 fixes applied | 16.0h | 40m | 3m | 24.0x |
| 21 | Coding | 1.5h | 4m | 5m | 22.5x |
| 22 | Fix 5 audit findings: [unreleased product]-website SEO/README + 2 stale CORS configs + to_be_deleted cleanup | 1.5h | 4m | 3m | 22.5x |
| 23 | Full deployment readiness audit (39 repos, 308 checks, 4323 tests, 6 fixes) | 40.0h | 115m | 5m | 20.9x |
| 24 | Rebuild avian-app-web and avian-admin bundles with production API URLs for accelastudy-ai-website | 0.5h | 2m | 2m | 15.0x |
| 25 | Fix 3 LOW audit findings: beautiful-mermaid dual lock files + issue-tracker pytest_asyncio warnings + newsletter-service 62 frontend tests | 2.0h | 8m | 3m | 15.0x |
| 26 | Full readiness audit across 37 repos + all fixes including deferred items | 10.0h | 88m | 5m | 6.8x |
| 27 | Full deployment readiness audit: 37 repos, 277 checks, 4323 tests, 10 fixes | 8.0h | 72m | 5m | 6.7x |
Aggregate Statistics
| Metric | Value |
|---|---|
| Total tasks | 27 |
| Total human-equivalent hours | 222.5 |
| Total Claude minutes | 507 |
| Total supervisory minutes | 90 |
| Total tokens | 2,476,500 |
| Weighted average leverage factor | 26.3x |
| Weighted average supervisory leverage factor | 148.3x |
| Human-equivalent weeks | 5.6 |
Analysis
The highest factor of the day came in at 90.0x and the lowest at 6.7x, a spread of 13.5 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 6.0 of the 222.5 human-equivalent hours, or 3 percent of the day. No single task dominated the total, so the weighted average is representative.
Supervisory time was 90 minutes against 507 minutes of execution, a ratio of about 1 to 6. Supervisory leverage of 148.3x 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.