39 tasks. March 24, 2026 closed at 88.8x weighted leverage across 1,167.5 human-equivalent hours in 789 minutes of wall-clock time. Supervisory leverage came in at 432.4x.
That is 29.2 weeks of human-equivalent throughput in 13.2 hours. The ceiling was 274.3x; the floor was 15.0x. 31 of the 39 entries came from a single project.
Task Log
| # | Task | Human Est. | Claude | Sup. | Factor |
|---|---|---|---|---|---|
| 1 | Implement 9 new [ip] applications (D F G L O R T U V) — 180 claims across 10789 LOC in 18 new files | 160.0h | 35m | 5m | 274.3x |
| 2 | Port 10 [ip] features web→electron (full IPC pipeline + 29 files) | 120.0h | 35m | 5m | 205.7x |
| 3 | Sync 10 [ip] features to electron (29 files 7031 LOC full IPC pipeline) and iOS (8 views 15 endpoints) | 160.0h | 60m | 5m | 160.0x |
| 4 | Draft [ip] applications S and T (Content Staleness + Assessment Composition) | 40.0h | 18m | 5m | 133.3x |
| 5 | Implement 3 [ip] applications (R/T/V) with 60 claims as working code | 40.0h | 18m | 5m | 133.3x |
| 6 | Implement 3 AVIAN [ip] applications (F G O) - bootstrap+versioning+readiness | 40.0h | 18m | 5m | 133.3x |
| 7 | Coding | 40.0h | 20m | 5m | 120.0x |
| 8 | Update [ip-research] docs for 25 apps and regenerate 362 PDFs | 50.0h | 25m | 3m | 120.0x |
| 9 | Coding | 24.0h | 12m | 3m | 120.0x |
| 10 | Build AVIAN static website with 7 pages particle hero scroll animations | 24.0h | 12m | 3m | 120.0x |
| 11 | Resequence [ip] portfolio A-Y (25 apps) across 6 repos | 64.0h | 35m | 5m | 109.7x |
| 12 | Build all 10 Tier 1+2 [ip] client features (init+scenario+analytics+governance+curriculum+trajectory+multimodal+crossdomain+chat+cognitive) | 80.0h | 45m | 5m | 106.7x |
| 13 | Draft [ip] applications U (Explainability) and V (Cohort Intelligence) with 20 claims and 8 figures each | 40.0h | 25m | 5m | 96.0x |
| 14 | Sync 10 [ip] features from web to iOS as SwiftUI views | 40.0h | 25m | 5m | 96.0x |
| 15 | Build Tier 2 features #6-8: Trajectory/Evidence/CrossDomain UI in avian-app-web | 16.0h | 12m | 5m | 80.0x |
| 16 | Build Tier 1 client features: Entity Initialization + Scenario Assessment + Analytics Panel for avian-app-web | 24.0h | 18m | 5m | 80.0x |
| 17 | Build Governance Dashboard (App L) + Enhanced Curriculum (App I) screens with full CSS light/dark mode | 16.0h | 15m | 3m | 64.0x |
| 18 | Coding | 8.0h | 8m | 3m | 60.0x |
| 19 | Write unit tests for 3 AVIAN subsystems (Assessment Composer + Interview Engine + Cohort Intelligence) - 89 tests total | 8.0h | 8m | 3m | 60.0x |
| 20 | Flesh out 3 thin API modules with 16 [ip]-aligned public methods | 8.0h | 8m | 3m | 60.0x |
| 21 | Fix 24 failing + 2 skipped unit tests across 6 test files in avian-engine | 8.0h | 10m | 3m | 48.0x |
| 22 | Documentation | 6.0h | 8m | 3m | 45.0x |
| 23 | Coding | 12.0h | 18m | 5m | 40.0x |
| 24 | Write unit tests for 3 AVIAN subsystems (bootstrap/versioning/readiness_prediction) - 123 tests | 8.0h | 12m | 3m | 40.0x |
| 25 | Deploy issue-tracker to production (ECR+CloudWatch+S3+ALB+CloudFront+Route53+RDS+Docker+frontend+leverage-tracker cleanup) | 16.0h | 25m | 5m | 38.4x |
| 26 | Add bug report proxy endpoint to engine and 7 client apps | 16.0h | 25m | 5m | 38.4x |
| 27 | Deploy marketing-tracker to production on AWS (ECR + CloudFront + ALB + RDS + S3 + Route53 + Docker) | 8.0h | 15m | 5m | 32.0x |
| 28 | Build Tier 2 features #9-10: context-aware chat (App O) + cognitive state detection (App G) | 6.0h | 12m | 5m | 30.0x |
| 29 | [ip-research] hardening analysis for 15 CIP [ip] applications (A-P excluding G) | 16.0h | 35m | 5m | 27.4x |
| 30 | Implement 4 QC fixes in AVIAN [engine subsystem] ([quality gate] + readiness convergence + pair regeneration + pair validation) | 8.0h | 18m | 5m | 26.7x |
| 31 | Coding | 8.0h | 18m | 5m | 26.7x |
| 32 | Coding | 8.0h | 18m | 3m | 26.7x |
| 33 | Unit tests for 3 AVIAN subsystems: staleness + adversarial + explainability (112 tests) | 8.0h | 18m | 5m | 26.7x |
| 34 | Research FreshBooks and QuickBooks and write comprehensive accounting app prompt | 8.0h | 20m | 3m | 24.0x |
| 35 | Write targeted unit tests for 3 packages (observation/governance/reembed) to push above 70% coverage | 3.0h | 8m | 3m | 22.5x |
| 36 | Deploy marketing-tracker + CodePipeline for both tools + EC2 private subnet migration (NAT gateway + route tables + instance replacement + ALB re-registration) | 20.0h | 55m | 5m | 21.8x |
| 37 | Debugging | 4.0h | 12m | 3m | 20.0x |
| 38 | Security quick wins: timing attack + JWT audience + Docker non-root for marketing-tracker | 0.5h | 2m | 2m | 15.0x |
| 39 | Create ecosystem inventory document for AVIAN docs - 37 repos catalogued | 2.0h | 8m | 3m | 15.0x |
Aggregate Statistics
| Metric | Value |
|---|---|
| Total tasks | 39 |
| Total human-equivalent hours | 1,167.5 |
| Total Claude minutes | 789 |
| Total supervisory minutes | 162 |
| Total tokens | 4,546,500 |
| Weighted average leverage factor | 88.8x |
| Weighted average supervisory leverage factor | 432.4x |
| Human-equivalent weeks | 29.2 |
Analysis
The highest factor of the day came in at 274.3x and the lowest at 15.0x, a spread of 18.3 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 160.0 of the 1,167.5 human-equivalent hours, or 14 percent of the day. No single task dominated the total, so the weighted average is representative.
Supervisory time was 162 minutes against 789 minutes of execution, a ratio of about 1 to 5. Supervisory leverage of 432.4x 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.