29 tasks. March 21, 2026 closed at 20.8x weighted leverage across 528.5 human-equivalent hours in 1,526 minutes of wall-clock time. Supervisory leverage came in at 266.5x.
That is 13.2 weeks of human-equivalent throughput in 25.4 hours. The ceiling was 288.0x; the floor was 0.5x. 22 of the 29 entries came from a single project.
Task Log
| # | Task | Human Est. | Claude | Sup. | Factor |
|---|---|---|---|---|---|
| 1 | Close all gaps between architecture docs and engine code (4 phases: doc updates + cross-domain engine + scenario assessment engine + 5 operations engines) | 120.0h | 25m | 5m | 288.0x |
| 2 | Create 9 domain specification JSON files (PRINCE2x2 ServiceNowx2 CFA Confluent Docker HubSpotx2) with 60-66 leaf goals each | 48.0h | 12m | 3m | 240.0x |
| 3 | Implement Scenario Assessment Engine (Subsystem 26) - 11 files 3420 LOC 52 tests | 24.0h | 8m | 3m | 180.0x |
| 4 | IELTS/TOEFL implementation plan + 9 domain specs (PRINCE2/ServiceNow/CFA/Confluent/Docker/HubSpot) + domain roadmap tracking document | 60.0h | 30m | 5m | 120.0x |
| 5 | Coding | 40.0h | 25m | 5m | 96.0x |
| 6 | Update 4 AVIAN architecture docs with 20 undocumented features (endpoints+subsystems+data structures+ML models) | 16.0h | 12m | 5m | 80.0x |
| 7 | Documentation | 60.0h | 45m | 5m | 80.0x |
| 8 | Cross-Domain Intelligence Engine (Subsystem 25) — 8 files 2072 LOC with protocol + HNSW index + cascade correction + contradiction detector + [content generation] seeder + orchestrator + 34 tests | 16.0h | 12m | 5m | 80.0x |
| 9 | Integrate App N (Scenario Assessment) into 6 architecture docs | 24.0h | 25m | 5m | 57.6x |
| 10 | Update 4 marketing sites and create 15 provider pages for product restructure (52 files touched) | 24.0h | 35m | 5m | 41.1x |
| 11 | IELTS/TOEFL implementation plan document (12 sections + appendices - 1168 lines) | 8.0h | 12m | 5m | 40.0x |
| 12 | Implement 5 real engine.py files + 5 test files for embodied subsystems (safety/multi-agent/replay/drift/simreal) | 8.0h | 12m | 3m | 40.0x |
| 13 | Create 15 provider pages + update providers.html + components.js for AccelaStudy Certs website | 16.0h | 25m | 5m | 38.4x |
| 14 | Create comprehensive domain tracking roadmap document with full filesystem audit | 4.0h | 8m | 3m | 30.0x |
| 15 | Update AccelaStudy AP website: pricing to [cost]/mo standalone product with justification and cross-links across 13 files | 4.0h | 8m | 3m | 30.0x |
| 16 | Add LLM embodiment paragraphs to 6 AVIAN [ip] applications (H G L D E M) | 1.5h | 4m | 3m | 22.5x |
| 17 | Documentation | 4.0h | 12m | 3m | 20.0x |
| 18 | P2 fixes: MODE_SWITCH explanation Ch29 + Sloane/Elara dramatization Ch31 | 4.0h | 12m | 5m | 20.0x |
| 19 | Coding | 4.0h | 15m | 3m | 16.0x |
| 20 | Update AccelaStudy AI website for 8-product-line structure across 11 files | 4.0h | 15m | 5m | 16.0x |
| 21 | Coding | 3.0h | 12m | 5m | 15.0x |
| 22 | Documentation | 2.0h | 8m | 3m | 15.0x |
| 23 | Build and launch priority [content generation] batch for 48 cert domains (CompTIA/ISC2/PMI/Cisco/HashiCorp) | 2.0h | 8m | 3m | 15.0x |
| 24 | Update AccelaStudy Test Prep website for product restructure - pricing/cross-links/meta | 2.0h | 8m | 3m | 15.0x |
| 25 | Comprehensive background doc consistency audit for The Deferral novel | 8.0h | 45m | 5m | 10.7x |
| 26 | Novel editing: compress Ch31 denouement + cut narrator codas + remove parentheses across 22 chapters | 3.0h | 18m | 5m | 10.0x |
| 27 | Sync Synopsis.md with manuscript - 13 chapter synopses updated for accuracy | 3.0h | 25m | 5m | 7.2x |
| 28 | PRINCE2 Foundation + Practitioner full [content generation] and question bank generation (10460 MCQs 1301 nodes 2270 pairs 130 lessons) | 8.0h | 90m | 3m | 5.3x |
| 29 | [engine subsystem] repair for 17 low-validation domains (6824 fragments 93.3% approval) + sync to avian-domains | 8.0h | 960m | 3m | 0.5x |
Aggregate Statistics
| Metric | Value |
|---|---|
| Total tasks | 29 |
| Total human-equivalent hours | 528.5 |
| Total Claude minutes | 1,526 |
| Total supervisory minutes | 119 |
| Total tokens | 3,219,500 |
| Weighted average leverage factor | 20.8x |
| Weighted average supervisory leverage factor | 266.5x |
| Human-equivalent weeks | 13.2 |
Analysis
The highest factor of the day came in at 288.0x and the lowest at 0.5x, a spread of 576.0 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 120.0 of the 528.5 human-equivalent hours, or 23 percent of the day. No single task dominated the total, so the weighted average is representative.
Supervisory time was 119 minutes against 1,526 minutes of execution, a ratio of about 1 to 13. Supervisory leverage of 266.5x 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.