35 tasks. July 29, 2026 closed at 30.1x weighted leverage across 1,621.0 human-equivalent hours in 3,236 minutes of wall-clock time. Supervisory leverage came in at 720.4x.
That is 40.5 weeks of human-equivalent throughput in 53.9 hours. The ceiling was 205.7x; the floor was 2.8x. 26 of the 35 entries came from a single project.
Task Log
| # | Task | Human Est. | Claude | Sup. | Factor |
|---|---|---|---|---|---|
| 1 | 60-month execution plan for 10% Vision - model + monthly deliverables (md/PDF/artifact) | 120.0h | 35m | 2m | 205.7x |
| 2 | 10% Vision doc - market-share model + 5-year plan (md/PDF/artifact) | 72.0h | 30m | 3m | 144.0x |
| 3 | Documentation | 20.0h | 13m | 4m | 92.3x |
| 4 | GED launch campaign waves 1-2: orchestration plan + Tier C generators with gate stack + contracts/ADR/checks + engine scoring schema + Tier A web renderers + ged.accelastudy.ai site and infra live… | 460.0h | 342m | 15m | 80.7x |
| 5 | Documentation | 80.0h | 63m | 6m | 76.2x |
| 6 | Author sanitized AI Venture Builder domain spec (146 goals) with canonical count updates across 3 repos | 12.0h | 11m | 2m | 65.5x |
| 7 | Corporate philanthropy plan (The 1% Commitment) — reviewed 12 artifacts via agents; budget model from cash walk; entity + programs + timeline; published artifact + corpus doc 14 | 20.0h | 19m | 3m | 63.2x |
| 8 | Design and frontend | 75.0h | 76m | 6m | 59.2x |
| 9 | Deployment | 100.0h | 113m | 6m | 53.1x |
| 10 | Aug-2028 schedule shift + headcount plan + campus concept studies (docs/PDFs/3 artifacts) | 30.0h | 35m | 3m | 51.4x |
| 11 | Coding | 64.0h | 77m | 5m | 49.9x |
| 12 | Boston facilities + physical-security program integrated into 10% Vision docs (md/PDF/artifacts) | 16.0h | 20m | 2m | 48.0x |
| 13 | Campus program v2 - Restaurant/Fieldhouse/Undercroft across docs + concept boards + 3 renders | 20.0h | 25m | 3m | 48.0x |
| 14 | Campus doc set split - master plan + 8 building docs + partition itemization (9 PDFs) | 20.0h | 25m | 2m | 48.0x |
| 15 | Documentation | 60.0h | 76m | 4m | 47.4x |
| 16 | Coding | 32.0h | 42m | 3m | 45.7x |
| 17 | Coding | 50.0h | 66m | 3m | 45.5x |
| 18 | Engagement notifications: 4-agent fleet audit + phased multi-channel implementation plan (SMS/APNs/FCM/web push/email/watch) | 20.0h | 27m | 4m | 44.4x |
| 19 | Photorealistic campus renders generated + embedded in concept-studies artifact | 8.0h | 12m | 1m | 40.0x |
| 20 | Documentation | 12.0h | 20m | 2m | 36.0x |
| 21 | Campus v3 - Migration + underground parking + cistern + reactor assessment + linked artifacts x2 variants | 24.0h | 40m | 4m | 36.0x |
| 22 | Documentation | 16.0h | 30m | 5m | 32.0x |
| 23 | Build and launch free.accelastudy.ai — free-tier catalog site (150 courses / 18 focus areas / 193 pages) with derived-catalog pipeline, 4 templates, Terraform infra, four docs, and both stages deployed | 30.0h | 65m | 2m | 27.7x |
| 24 | US Citizenship free-tier domain spec (78 leaves; USCIS-verified 2025+2008 tests; multilingual Spanish-first design) + canonical/adjacency fleet wiring | 16.0h | 37m | 3m | 25.9x |
| 25 | Deployment | 16.0h | 37m | 2m | 25.9x |
| 26 | Rotating patriotic hero photography for usa.accelastudy.ai (10 FLUX day/night pairs via heroes_orchestrator; template rotation wiring; both stages redeployed+verified) | 8.0h | 25m | 1m | 19.2x |
| 27 | Split accelastudy.ai into a brand gateway + certs.accelastudy.ai: shared catalog generator + network partition (407 courses across 4 sites) / new certs site with infra / catalogs added to ap and test-prep /… | 60.0h | 205m | 4m | 17.6x |
| 28 | Staging refresh: content_r3 release + PP-25 lazy hydration (19.22->6.4 GiB) + v16 writer torn-pair fix + g4dn.xlarge downsize + engine builds moved to CodeBuild | 34.0h | 150m | 8m | 13.6x |
| 29 | Documentation | 30.0h | 210m | 3m | 8.6x |
| 30 | Infrastructure | 6.0h | 45m | 3m | 8.0x |
| 31 | Staging full update: restamp completion 405/405 + fleet stale-hash repair 408 domains + materialization gap closure (409-domain tree) + engine/api/content/boot-cache staging deploy | 24.0h | 250m | 3m | 5.8x |
| 32 | Staging web deploy + CDN cache forensics (version-checker no-cache repair) + staging-app host retirement (DNS+CloudFront+3 repos) | 4.0h | 45m | 4m | 5.3x |
| 33 | v16 sharded boot cache shipped end-to-end + tiered-store cutover (content_r2, store ON) + cross-type dedup exemption (2 repos) + engine host disk-exhaustion incident chain (root cause + remediation +… | 40.0h | 520m | 8m | 4.6x |
| 34 | Wave-2 live-HIGH campaign: serialized babysitter + restore_quality_report action ([engine subsystem]) + disk-full recovery + convergence proof | 8.0h | 150m | 2m | 3.2x |
| 35 | Deployment | 14.0h | 300m | 4m | 2.8x |
Aggregate Statistics
| Metric | Value |
|---|---|
| Total tasks | 35 |
| Total human-equivalent hours | 1,621.0 |
| Total Claude minutes | 3,236 |
| Total supervisory minutes | 135 |
| Total tokens | 27,735,000 |
| Weighted average leverage factor | 30.1x |
| Weighted average supervisory leverage factor | 720.4x |
| Human-equivalent weeks | 40.5 |
Analysis
The highest factor of the day came in at 205.7x and the lowest at 2.8x, a spread of 73.5 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 120.0 of the 1,621.0 human-equivalent hours, or 7 percent of the day. No single task dominated the total, so the weighted average is representative.
Supervisory time was 135 minutes against 3,236 minutes of execution, a ratio of about 1 to 24. Supervisory leverage of 720.4x 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.