Five tasks. June 25, 2026 weighted to 26.5x leverage across 142.0 human-equivalent hours in 322 Claude-minutes. Supervisory leverage closed at 473.3x.
3.5 weeks of human-equivalent throughput in 5.4 hours of Claude wall-clock. The 29.1x ceiling came from Refactored a travel-planning app onto a UI generation tool design template (12 screens, light/dark/mobile) plus a third-party Core Data SQLite importer (backend+frontend+tests) plu...; the 10.0x floor sat at Tools-page IA and caption CSS: restructured a corporate tools page into 5 categories (merged 3 into one, new Observability group, moved 5 tools), alphabetized each category, remove....
Task Log
| # | Task | Human Est. | Claude | Sup. | Factor | Sup. Factor |
|---|---|---|---|---|---|---|
| 1 | Refactored a travel-planning app onto a UI generation tool design template (12 screens, light/dark/mobile) plus a third-party Core Data SQLite importer (backend+frontend+tests) plus a UI generation tool marketing prompt | 120.0h | 247m | 5m | 29.1x | 1440.0x |
| 2 | Assembled a UI generation tool export into a fleet-standard CMS site: idempotent importer, 18 routes, shared nav/footer/head-meta partials, site config and build script, verified build | 12.0h | 28m | 5m | 25.7x | 144.0x |
| 3 | Audited all 73 monorepo repos for stale docs and executed approved Tier 1+2 cleanup (logs/caches/backups/duplicates/checkpoints) | 5.0h | 20m | 3m | 15.0x | 100.0x |
| 4 | Tier 3 stale-doc cleanup (clients/services/docs/websites) plus per-repo staging commits and pushes across 8 repos avoiding WIP contamination | 2.5h | 12m | 2m | 12.5x | 75.0x |
| 5 | Tools-page IA and caption CSS: restructured a corporate tools page into 5 categories (merged 3 into one, new Observability group, moved 5 tools), alphabetized each category, removed duplicate card; revised article stylesheet so image/diagram captions hug the media with trailing margin below the caption; built and verified both sites staging | 2.5h | 15m | 3m | 10.0x | 50.0x |
Aggregate Statistics
| Metric | Value |
|---|---|
| Total tasks | 5 |
| Total human-equivalent hours | 142.0 |
| Total Claude minutes | 322 |
| Total supervisory minutes | 18 |
| Total tokens | 2,690,000 |
| Weighted average leverage factor | 26.5x |
| Weighted average supervisory leverage factor | 473.3x |
| Human-equivalent weeks | 3.5 |
Analysis
The day's leverage distribution matters more than the headline figure. The 29.1x ceiling came from Refactored a travel-planning app onto a UI generation tool design template (12 screens, light/dark/mobile) plus a third-party Core Data SQLite importer (backend...; the 10.0x floor was Tools-page IA and caption CSS: restructured a corporate tools page into 5 categories (merged 3 into one, new Observability group, moved 5 tools), alphabetized e.... Tasks at the top of the distribution share a shape: tightly-scoped specifications, clear success criteria, and minimal integration ambiguity. The AI doesn't need to discover anything new; it executes against an explicit target.
Tasks at the bottom run differently. They're either bounded by review-heavy work where every step gets verified, or they involve ambiguity that demands several rounds of trial and adjustment. The factor is real and informative, not a failure mode.
The supervisory leverage figure (473.3x today) tracks something orthogonal to wall-clock leverage. It's the ratio of human-equivalent output to human prompt-writing time. It stays high even on lower-leverage days because supervisory minutes scale with task count, not with the human-hour estimate; a 20-minute task and a 4-hour task can both be specified in two minutes of human prompt-writing.
Across the 5 tasks, the day produced roughly 3.5 weeks of senior-engineer-equivalent throughput in 5.4 hours of model wall-clock. That ratio is the practical answer to the question of how much output a single operator can move per day when the model handles the execution and the operator handles the direction.