49 tasks. March 8, 2026 closed at 51.3x weighted leverage across 860.0 human-equivalent hours in 1,005 minutes of wall-clock time. Supervisory leverage came in at 261.9x.
That is 21.5 weeks of human-equivalent throughput in 16.8 hours. The ceiling was 205.7x; the floor was 8.0x. 29 of the 49 entries came from a single project.
Task Log
| # | Task | Human Est. | Claude | Sup. | Factor |
|---|---|---|---|---|---|
| 1 | Create 65 CE domain specs across 10 regulated verticals (4412 leaf goals) via 5 parallel agents | 120.0h | 35m | 5m | 205.7x |
| 2 | Created 18 CE domain specs (RE/Insurance/Engineering/Corrections/Cosmetology) with 1120 leaf goals | 80.0h | 35m | 5m | 137.1x |
| 3 | AI marketing platform research + requirements + technical design for accelastudy-ai-marketing | 24.0h | 12m | 3m | 120.0x |
| 4 | AI marketing platform research - 16 platforms comprehensive feature inventory with best-of-breed [content generation] | 16.0h | 8m | 3m | 120.0x |
| 5 | AccelaStudy AI Marketing Platform backend core infrastructure - 30 files: config/deps/Dockerfile/models/schemas/auth/queue/scheduler/alembic/main app | 24.0h | 12m | 5m | 120.0x |
| 6 | Exam readiness predictor: Monte Carlo pass probability + CI + time-to-ready + per-domain breakdown + SVG gauge UI + Dashboard integration + full documentation | 40.0h | 25m | 5m | 96.0x |
| 7 | Create 13 Nursing CE domain specification JSON files with 60-80 leaves each | 40.0h | 25m | 5m | 96.0x |
| 8 | Generate 3 LOTR domain specification JSON files (995 leaf goals) from syllabi | 6.0h | 4m | 3m | 90.0x |
| 9 | Systematic review and update of all 12 architecture docs + Origin diagram against current avian-engine state | 40.0h | 35m | 5m | 68.6x |
| 10 | Create comprehensive LOTR syllabi (3 books 995 goals) for avian-domains | 40.0h | 35m | 5m | 68.6x |
| 11 | Resequence CIP [ip] application letters across 27 portfolio documents | 8.0h | 8m | 3m | 60.0x |
| 12 | SOC 2 / GDPR / CCPA compliance readiness plan - full gap analysis and remediation roadmap | 24.0h | 30m | 3m | 48.0x |
| 13 | Generate lessons for 23 domains (1725 lessons batch) + GoT pipeline + parser fix + doc registry | 40.0h | 50m | 3m | 48.0x |
| 14 | Create 5 compliance training domain specs (HIPAA/PCI-DSS/GDPR/SOX/AML-BSA) | 16.0h | 20m | 5m | 48.0x |
| 15 | Create 10 CE domain specs (social work/dental/senior care/IDD) | 25.0h | 35m | 5m | 42.9x |
| 16 | Counsel packet: boilerplate de-templating + family memo + combination matrix + citation appendix + issue log | 32.0h | 45m | 3m | 42.7x |
| 17 | [ip-research] defense hardening: 17 language fixes across D/F/I/K/L + 2 playbooks + 2 combination templates + PDF regen | 24.0h | 35m | 5m | 41.1x |
| 18 | [ip-research] defense hardening: 17 language fixes across D/F/I/K/L + 2 playbooks + 2 combination templates + PDF regen | 24.0h | 35m | 5m | 41.1x |
| 19 | Write comprehensive integration tests for avian-enterprise-web API routes (46 tests across 5 test classes) | 8.0h | 12m | 3m | 40.0x |
| 20 | Language hardening batch 3 (A/C/E/J) + final-pass eliminate sweep across all 13 apps + PDF regen | 16.0h | 25m | 3m | 38.4x |
| 21 | Language hardening batch 3 (A/C/E/J) + final-pass eliminate sweep across all 13 apps + PDF regen | 16.0h | 25m | 3m | 38.4x |
| 22 | Convert 13 [ip] apps from nonprovisional to [ip-filing] posture with full package regeneration | 16.0h | 25m | 5m | 38.4x |
| 23 | User CRUD + email templates + invite flow (auth-service backend + avian-admin frontend) | 16.0h | 25m | 5m | 38.4x |
| 24 | Create 13 CE domain specs (pharmacy/physician CME/allied health) with 60-68 leaves each - all validated PASS | 16.0h | 25m | 5m | 38.4x |
| 25 | Fix all remaining code review issues in accelastudy-cloud (25+ issues across frontend and backend) | 8.0h | 15m | 5m | 32.0x |
| 26 | Fix all remaining code review issues in accelastudy-cloud (25+ issues across frontend and backend) | 8.0h | 15m | 5m | 32.0x |
| 27 | Documentation | 24.0h | 45m | 5m | 32.0x |
| 28 | Create 2 CE domain spec JSON files (Legal Ethics CLE + CPA Ethics CPE) | 4.0h | 8m | 3m | 30.0x |
| 29 | [ip-research] defense issue log audit -- systematic review of 4 defense documents and 3 application spot-checks producing 27-issue log | 6.0h | 12m | 5m | 30.0x |
| 30 | Create 2 CE domain spec JSON files (Legal Ethics CLE + CPA Ethics CPE) | 4.0h | 8m | 3m | 30.0x |
| 31 | Write middleware + E2E tests for avian-enterprise-web (34 tests: auth/tenant/metering middleware + content pipeline + learner session + SCORM) | 6.0h | 12m | 3m | 30.0x |
| 32 | Update 3 architecture docs: Lesson Testing Visualization | 4.0h | 8m | 3m | 30.0x |
| 33 | CE initiative plan: acquirer catalog analysis + 70-domain taxonomy + updated 5-phase plan | 16.0h | 35m | 5m | 27.4x |
| 34 | Create 3 CE domain specs (Fair Housing; Infection Prevention; Medication Safety) with 60-67 leaves each | 8.0h | 18m | 3m | 26.7x |
| 35 | Coding | 4.0h | 10m | 3m | 24.0x |
| 36 | Coding | 4.0h | 10m | 3m | 24.0x |
| 37 | Update [restricted vertical] README with full 70-spec catalog | 1.5h | 4m | 3m | 22.5x |
| 38 | Merge renkara-cloud into accelastudy-cloud monorepo (8 phases - 7 commits - 52 files changed) | 3.0h | 8m | 5m | 22.5x |
| 39 | Fix all remaining code review issues in renkara-cloud (security/bugs/modernization/quality) | 16.0h | 45m | 5m | 21.3x |
| 40 | Create 5 compliance training domain specs (OSHA/Harassment/ISO27001/FERPA/CCPA-CPRA) | 6.0h | 18m | 5m | 20.0x |
| 41 | Write comprehensive SCORM unit tests (manifest/cmi_mapper/packager) - 48 tests | 1.5h | 5m | 3m | 18.0x |
| 42 | Phase 1 CE initiative - READMEs for SecurityAwareness/Compliance/[restricted vertical] + commit and push 30 files | 2.0h | 7m | 3m | 17.1x |
| 43 | Soften absolute language in [ip] applications J-M (ensures/always/never/eliminates/prevents/guaranteed → varied phrasing; without retraining → transformation matrices language; not practically performable →… | 3.0h | 12m | 3m | 15.0x |
| 44 | Add desktop sidebar navigation and fix responsive issues across 8 files | 2.0h | 8m | 3m | 15.0x |
| 45 | Add 8 deep-search [ip] refs (R-037 to R-044) to [ip-research] Matrix and Known References Log | 2.0h | 8m | 3m | 15.0x |
| 46 | Add desktop sidebar navigation and fix responsive issues in accelastudy-infinite-web (9 files) | 2.0h | 8m | 3m | 15.0x |
| 47 | Add Face ID/Touch ID biometric authentication to AccelaStudy iOS app | 6.0h | 25m | 5m | 14.4x |
| 48 | Add Face ID/Touch ID biometric authentication to AccelaStudy iOS app (7 files) | 6.0h | 25m | 5m | 14.4x |
| 49 | Set up accelastudy-cloud with shared infrastructure (MySQL 8.4 + Redis) and fix compatibility issues | 2.0h | 15m | 5m | 8.0x |
Aggregate Statistics
| Metric | Value |
|---|---|
| Total tasks | 49 |
| Total human-equivalent hours | 860.0 |
| Total Claude minutes | 1,005 |
| Total supervisory minutes | 197 |
| Total tokens | 6,398,000 |
| Weighted average leverage factor | 51.3x |
| Weighted average supervisory leverage factor | 261.9x |
| Human-equivalent weeks | 21.5 |
Analysis
The highest factor of the day came in at 205.7x and the lowest at 8.0x, a spread of 25.7 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 860.0 human-equivalent hours, or 14 percent of the day. No single task dominated the total, so the weighted average is representative.
Supervisory time was 197 minutes against 1,005 minutes of execution, a ratio of about 1 to 5. Supervisory leverage of 261.9x 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.