18 tasks. February 28, 2026 closed at 45.7x weighted leverage across 204.0 human-equivalent hours in 268 minutes of wall-clock time. Supervisory leverage came in at 170.0x.
That is 5.1 weeks of human-equivalent throughput in 4.5 hours. The ceiling was 120.0x; the floor was 4.8x. 16 of the 18 entries came from a single project.
Task Log
| # | Task | Human Est. | Claude | Sup. | Factor |
|---|---|---|---|---|---|
| 1 | Resume Generator full implementation (6 phases: schemas/CLI/parsers/importers/renderers/LLM/templates/tests) | 40.0h | 20m | 8m | 120.0x |
| 2 | Incremental checkpointing for [content generation] and iteration phases | 20.0h | 12m | 5m | 100.0x |
| 3 | Resume generator 6-phase enhancement (recursive import + HTML/DOC parsers + multi-signal dedup + master skills + portfolio website + DESIGN.md) | 16.0h | 12m | 5m | 80.0x |
| 4 | Import pipeline overhaul: 7-phase implementation (schemas/classifier/extractor/DOCX parser/merger/website/tests) | 12.0h | 12m | 4m | 60.0x |
| 5 | Adversarial spot-check validation system (pipeline refactor + config + wiring + runners + test fix) | 16.0h | 18m | 5m | 53.3x |
| 6 | Coding | 16.0h | 19m | 5m | 50.5x |
| 7 | Remove embedding isolation from readiness scoring + update all docs + tests + push | 6.0h | 8m | 3m | 45.0x |
| 8 | Port 6 demo features to @avian/activity-ui library | 8.0h | 12m | 4m | 40.0x |
| 9 | [engine subsystem]-enhanced readiness scoring + Origin ref arch updates + doc updates across 3 repos | 8.0h | 12m | 4m | 40.0x |
| 10 | Resume generator v2.0 schema restructure (source registry + 4 new entry types + 15 file cascade + reimport + docs) | 8.0h | 12m | 4m | 40.0x |
| 11 | Extract Origin into dedicated Reference Architecture document (3 files created + 7 modified) | 16.0h | 25m | 5m | 38.4x |
| 12 | Per-call API timing log for [content generation] runs | 12.0h | 19m | 4m | 37.9x |
| 13 | Update docs and push 3 repos for per-call API timing log | 2.0h | 4m | 2m | 30.0x |
| 14 | Create run_readiness.py tool + re-score all 14 domain packages (0% to 66.6%) | 6.0h | 15m | 3m | 24.0x |
| 15 | Article: agentic coding decision fatigue + leverage record update + staging/prod deploys | 8.0h | 20m | 4m | 24.0x |
| 16 | LLM-powered object normalization pipeline for resume generator | 6.0h | 15m | 3m | 24.0x |
| 17 | Analyze diffs + organize 7 logical commits + gitignore data/domains + push avian-engine and avian-domains | 2.0h | 8m | 2m | 15.0x |
| 18 | Update leverage record post + AI detection + staging/prod deploy + CLAUDE.md pipeline docs + README | 2.0h | 25m | 2m | 4.8x |
Aggregate Statistics
| Metric | Value |
|---|---|
| Total tasks | 18 |
| Total human-equivalent hours | 204.0 |
| Total Claude minutes | 268 |
| Total supervisory minutes | 72 |
| Total tokens | 1,438,000 |
| Weighted average leverage factor | 45.7x |
| Weighted average supervisory leverage factor | 170.0x |
| Human-equivalent weeks | 5.1 |
Analysis
The highest factor of the day came in at 120.0x and the lowest at 4.8x, a spread of 25.0 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 40.0 of the 204.0 human-equivalent hours, or 20 percent of the day. No single task dominated the total, so the weighted average is representative.
Supervisory time was 72 minutes against 268 minutes of execution, a ratio of about 1 to 4. Supervisory leverage of 170.0x 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.