61 tasks. March 23, 2026 closed at 79.2x weighted leverage across 1,231.1 human-equivalent hours in 933 minutes of wall-clock time. Supervisory leverage came in at 300.3x.
That is 30.8 weeks of human-equivalent throughput in 15.6 hours. The ceiling was 280.0x; the floor was 6.0x. 51 of the 61 entries came from a single project.
Task Log
| # | Task | Human Est. | Claude | Sup. | Factor |
|---|---|---|---|---|---|
| 1 | Generate 105 lab definitions for 7 cloud domains (AZ-140 AZ-120 DP-100 DP-420 DP-700 PCDOpsE GAI-L) | 210.0h | 45m | 5m | 280.0x |
| 2 | AccelaStudy Infinite web: 9 features (i18n EN/DE/TR, subscription/purchase-service, spelling mode, neverending quiz, progress persistence, progress charts, product detail, subscription gating, item editor) | 80.0h | 25m | 5m | 192.0x |
| 3 | AccelaStudy Infinite web: 9 features (i18n/localization/subscription/spelling/neverending-quiz/progress-persistence/progress-viz/product-detail/item-editor) | 80.0h | 25m | 5m | 192.0x |
| 4 | Draft [ip] applications W (Anti-Gaming) and X (Domain Cold-Start) with 20 claims each and 8 diagrams each | 80.0h | 25m | 8m | 192.0x |
| 5 | Infrastructure | 120.0h | 45m | 5m | 160.0x |
| 6 | [ip] portfolio resequencing: insert App P as G, shift G-O to H-P, update 3 repos + engine subsystem | 120.0h | 45m | 10m | 160.0x |
| 7 | Coding | 40.0h | 18m | 5m | 133.3x |
| 8 | Documentation | 40.0h | 18m | 5m | 133.3x |
| 9 | Coding | 40.0h | 18m | 5m | 133.3x |
| 10 | Build complete AccelaStudy MCAT marketing website (10 files, 3000 LOC) | 16.0h | 8m | 5m | 120.0x |
| 11 | Landing page analytics: docs + models + schemas + service + API + frontend | 40.0h | 25m | 5m | 96.0x |
| 12 | Audit and review | 40.0h | 25m | 3m | 96.0x |
| 13 | [ip] portfolio gap analysis - 16 apps + provisional vs full platform requirements | 40.0h | 25m | 5m | 96.0x |
| 14 | Build complete AccelaStudy [unreleased product] marketing website (10 files 3598 LOC) | 16.0h | 12m | 5m | 80.0x |
| 15 | Strengthen 5 [ip] apps with new sections and claims (A C H M P) - 6 new spec sections, 16 new dependent claims | 16.0h | 12m | 5m | 80.0x |
| 16 | [ip] reference remapping (92 files, old->new letter scheme) + cognitive state subsystem (6 files, 460 LOC, Protocol/types/flow/fatigue/modulation/tracker) + 57 tests at 91% coverage | 24.0h | 25m | 5m | 57.6x |
| 17 | Implement 4 [ip] claims (F-16 J-16 E-23 O-16) in AVIAN engine | 4.0h | 5m | 3m | 48.0x |
| 18 | Build marketing-tracker MCP server (24 tools) + SendGrid adapter + register in .mcp.json | 16.0h | 20m | 5m | 48.0x |
| 19 | Write 94 unit tests for [ip-cluster] subsystem coverage expansion (42% to 89%) | 8.0h | 12m | 3m | 40.0x |
| 20 | Write 104 interaction subsystem unit tests (CDV/registry/session_mode/suppression/prefetch/telemetry/synthesizer) | 8.0h | 12m | 3m | 40.0x |
| 21 | Implement 5 [ip] claims (N-8 N-13 N-18 N-20 B-18) across AVIAN engine | 4.0h | 6m | 3m | 40.0x |
| 22 | Documentation | 8.0h | 12m | 5m | 40.0x |
| 23 | Write unit tests for API and Training subsystems (185 tests) to push both above 70% coverage | 16.0h | 25m | 5m | 38.4x |
| 24 | Unit tests for initialization/core/[engine subsystem] subsystems (142 tests across 3 files) | 8.0h | 15m | 3m | 32.0x |
| 25 | Migrate cloudops.consulting from Squarespace to Static CMS with full design rebuild | 8.0h | 15m | 5m | 32.0x |
| 26 | Write unit tests for API (75 tests) and Origin (91 tests) subsystems to improve coverage | 8.0h | 15m | 3m | 32.0x |
| 27 | Write 137 unit tests for AVIAN API subsystem to raise coverage from 42% to 61% | 8.0h | 15m | 3m | 32.0x |
| 28 | Unit tests for initialization/core/[engine subsystem] subsystems (142 tests) | 8.0h | 15m | 3m | 32.0x |
| 29 | Update launch execution plan with full marketing-tracker integration (Part VIII + weekly tasks + launch week + analytics) | 8.0h | 15m | 5m | 32.0x |
| 30 | Write cross-domain scale integration test (9 tests real 1024-dim embeddings) | 4.0h | 8m | 3m | 30.0x |
| 31 | Upgrade ANNIndex from brute-force L2 to HNSW ([ip] C-20) | 4.0h | 8m | 3m | 30.0x |
| 32 | Implement ASR adapter (F-17/E-7) - adapter + model + endpoint + tests | 4.0h | 8m | 3m | 30.0x |
| 33 | Implement Human Feedback Endpoint + Evidence Fusion wiring ([ip] E-1/2/3) | 3.0h | 6m | 3m | 30.0x |
| 34 | Implement 4 [ip] claims (E-9 E-11 K-10 K-11) in AVIAN engine | 4.0h | 8m | 3m | 30.0x |
| 35 | Fix content_profile in 845 domain specs + generate missing exam_tips + update manifest generator + docs | 6.0h | 12m | 5m | 30.0x |
| 36 | Write exam landing page generation prompt template for marketing-tracker | 4.0h | 8m | 3m | 30.0x |
| 37 | Documentation | 8.0h | 18m | 5m | 26.7x |
| 38 | Provision AWS infrastructure for cloudops.consulting (S3 buckets + CloudFront + Route53 + ACM + CMS build/deploy) | 2.0h | 5m | 3m | 24.0x |
| 39 | Implement 3 [ip] claims (A-18 C-12 C-15) in AVIAN engine | 2.0h | 5m | 3m | 24.0x |
| 40 | Write navigator E2E test (6 test cases covering study plan/credit/micro-challenge) | 3.0h | 8m | 3m | 22.5x |
| 41 | Write federation multinode integration test (8 tests 250+ LOC) | 3.0h | 8m | 3m | 22.5x |
| 42 | Wire ScenarioAssessmentEngine into REST gateway with 3 endpoints | 1.5h | 4m | 3m | 22.5x |
| 43 | Fix [ip]_Family_Grouping.md resequencing: table ordering + tier labels + branded clusters + coverage matrix column remap | 3.0h | 8m | 3m | 22.5x |
| 44 | [ip-research] hardening for [ip] applications J K L N O P - 21 references inserted | 3.0h | 8m | 3m | 22.5x |
| 45 | Deploy leverage-manager to production - full infra provisioning (RDS + Graviton EC2 + ALB + CloudFront + DNS + seed) | 16.0h | 45m | 5m | 21.3x |
| 46 | Restructure novel repo for multi-novel MIDAS Files series | 2.0h | 6m | 5m | 20.0x |
| 47 | FAQ resequencing fixes and new Q12 cognitive state vs behavioral analytics | 4.0h | 12m | 3m | 20.0x |
| 48 | [ip-research] hardening for [ip] Applications A B C D - 17 reference paragraphs added | 4.0h | 12m | 5m | 20.0x |
| 49 | [ip-research] hardening for Applications E F H I - 14 references added to BACKGROUND sections | 4.0h | 12m | 5m | 20.0x |
| 50 | Update architecture docs for [ip] resequencing G-P with new App G | 8.0h | 25m | 5m | 19.2x |
| 51 | SES to SendGrid migration in marketing-tracker webhooks and email service | 1.5h | 5m | 3m | 18.0x |
| 52 | Deploy leverage-manager to production (S3+CloudFront+ECR+infra config) | 4.0h | 15m | 3m | 16.0x |
| 53 | Fix 9 novel manuscript/background inconsistencies across 10+ files | 3.0h | 12m | 5m | 15.0x |
| 54 | Write scenario E2E test (test_scenario_e2e.py ~300 LOC) | 2.0h | 8m | 3m | 15.0x |
| 55 | Update [ip]-explorer letter references A-M to A-P after resequencing | 1.5h | 6m | 3m | 15.0x |
| 56 | Fix missing reference numerals in App G Mermaid diagrams (8 files) | 1.5h | 6m | 3m | 15.0x |
| 57 | Documentation | 2.0h | 8m | 3m | 15.0x |
| 58 | SES to SendGrid migration + column rename + Alembic migration + 79 tests passing | 3.0h | 15m | 3m | 12.0x |
| 59 | Debugging | 2.0h | 15m | 3m | 8.0x |
| 60 | Fix resequenced [ip] portfolio references in 5 Counsel Packet files | 4.0h | 30m | 5m | 8.0x |
| 61 | test prod api | 0.1h | 1m | 0m | 6.0x |
Aggregate Statistics
| Metric | Value |
|---|---|
| Total tasks | 61 |
| Total human-equivalent hours | 1,231.1 |
| Total Claude minutes | 933 |
| Total supervisory minutes | 246 |
| Total tokens | 5,357,600 |
| Weighted average leverage factor | 79.2x |
| Weighted average supervisory leverage factor | 300.3x |
| Human-equivalent weeks | 30.8 |
Analysis
The highest factor of the day came in at 280.0x and the lowest at 6.0x, a spread of 46.7 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 210.0 of the 1,231.1 human-equivalent hours, or 17 percent of the day. No single task dominated the total, so the weighted average is representative.
Supervisory time was 246 minutes against 933 minutes of execution, a ratio of about 1 to 4. Supervisory leverage of 300.3x 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.