36 tasks. April 7, 2026 closed at 43.3x weighted leverage across 535.5 human-equivalent hours in 742 minutes of wall-clock time. Supervisory leverage came in at 245.3x.
That is 13.4 weeks of human-equivalent throughput in 12.4 hours. The ceiling was 240.0x; the floor was 15.0x. 15 of the 36 entries came from a single project.
Task Log
| # | Task | Human Est. | Claude | Sup. | Factor |
|---|---|---|---|---|---|
| 1 | Design and frontend | 80.0h | 20m | 3m | 240.0x |
| 2 | Radical innovation audit across all 46+ AVIAN repos with one recommendation per repo | 40.0h | 12m | 2m | 200.0x |
| 3 | Full SEO and accessibility audit + fix across 5 websites (StrataForge, Deferral, Elysium, Luthan, MIDAS) — ARIA attributes, skip links, focus styles, reduced motion, structured data, sitemaps, robots.txt,… | 40.0h | 15m | 3m | 160.0x |
| 4 | Documentation | 16.0h | 8m | 5m | 120.0x |
| 5 | Debugging | 2.0h | 1m | 1m | 120.0x |
| 6 | Research and draft retrospective article: fetched 1,129 leverage records, counted 1,872 commits across 47 repos, analyzed 49 articles, compiled raw data file + 3,000-word article draft covering 11.7… | 40.0h | 25m | 5m | 96.0x |
| 7 | Fleet-wide old-name rename: 175+ files across 16 repos, 8 old names (issue-tracker, leverage-tracker, marketing-tracker, newsletter-service, task-tracker, [ip]-explorer, repeatalist, issues.renkara.com)… | 40.0h | 30m | 5m | 80.0x |
| 8 | Build avian-diagnostics shared library (error codes 1000-5099, DB/Valkey/auth/system checks) and integrate GET /diagnostics + check_service_health MCP tool into all 9 Python tools | 24.0h | 20m | 3m | 72.0x |
| 9 | Coding | 24.0h | 30m | 5m | 48.0x |
| 10 | Testing | 6.0h | 8m | 3m | 45.0x |
| 11 | Add auto-reload on deploy via build hash polling across 12 tools (hook + buildspec + App.tsx wiring) | 8.0h | 12m | 2m | 40.0x |
| 12 | Testing | 8.0h | 13m | 3m | 36.9x |
| 13 | Testing | 12.0h | 20m | 5m | 36.0x |
| 14 | Web app screenshot automation: seed scripts (AWS/GCP/Azure) + Playwright captures (light+dark), ~60 screenshots | 12.0h | 20m | 5m | 36.0x |
| 15 | Infrastructure | 4.0h | 7m | 2m | 34.3x |
| 16 | Coding | 6.0h | 12m | 3m | 30.0x |
| 17 | Testing | 6.0h | 12m | 3m | 30.0x |
| 18 | Testing | 6.0h | 12m | 3m | 30.0x |
| 19 | Fix auth-service JWT private key permissions — production login broken for ALL apps. chmod 640 + chown on host, fixed both buildspecs (renkara + accelastudy) | 4.0h | 8m | 2m | 30.0x |
| 20 | Add virtual projects view with rename/merge — API, MCP (both servers), frontend page, 13 backend tests, 9 E2E Playwright specs | 12.0h | 25m | 5m | 28.8x |
| 21 | Design and frontend | 40.0h | 85m | 10m | 28.2x |
| 22 | Testing | 16.0h | 35m | 3m | 27.4x |
| 23 | Debugging | 2.0h | 5m | 1m | 24.0x |
| 24 | Debugging | 1.5h | 4m | 1m | 22.5x |
| 25 | Testing | 8.0h | 22m | 5m | 21.8x |
| 26 | Testing | 4.0h | 12m | 3m | 20.0x |
| 27 | Debugging | 6.0h | 18m | 3m | 20.0x |
| 28 | Infrastructure | 16.0h | 55m | 8m | 17.5x |
| 29 | Testing | 32.0h | 120m | 10m | 16.0x |
| 30 | Fix WebSocket broken in production (BaseHTTPMiddleware blocking WS upgrades), card move/create animations, buildspec deploy fix | 12.0h | 45m | 5m | 16.0x |
| 31 | Audit and update READMEs for all 10 libs: created 3 new READMEs (auth-react, bug-reporter, diagnostics), initialized 2 missing git repos, fixed legacy names in 4 READMEs, committed outstanding auth-client… | 4.0h | 15m | 2m | 16.0x |
| 32 | Design and frontend | 3.0h | 12m | 8m | 15.0x |
| 33 | Debugging | 0.2h | 1m | 1m | 15.0x |
| 34 | Debugging | 0.2h | 1m | 1m | 15.0x |
| 35 | Debugging | 0.2h | 1m | 1m | 15.0x |
| 36 | Debugging | 0.2h | 1m | 1m | 15.0x |
Aggregate Statistics
| Metric | Value |
|---|---|
| Total tasks | 36 |
| Total human-equivalent hours | 535.5 |
| Total Claude minutes | 742 |
| Total supervisory minutes | 131 |
| Total tokens | 4,826,000 |
| Weighted average leverage factor | 43.3x |
| Weighted average supervisory leverage factor | 245.3x |
| Human-equivalent weeks | 13.4 |
Analysis
The highest factor of the day came in at 240.0x and the lowest at 15.0x, a spread of 16.0 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 535.5 human-equivalent hours, or 15 percent of the day. No single task dominated the total, so the weighted average is representative.
Supervisory time was 131 minutes against 742 minutes of execution, a ratio of about 1 to 6. Supervisory leverage of 245.3x 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.