One task. May 23, 2026 weighted to 33.6x leverage across 28.0 human-equivalent hours in 50 Claude-minutes. Supervisory leverage closed at 336.0x.
0.7 weeks of human-equivalent throughput in 0.8 hours of Claude wall-clock. The 33.6x ceiling came from Math content shapes for an origin service synthesis: three new content shapes (symbolic problems, modeling problems) + math tribunal verdict schema. libs/an origin runtime library...; the 33.6x floor sat at Math content shapes for an origin service synthesis: three new content shapes (symbolic problems, modeling problems) + math tribunal verdict schema. libs/an origin runtime library....
Task Log
| # | Task | Human Est. | Claude | Sup. | Factor | Sup. Factor |
|---|---|---|---|---|---|---|
| 1 | Math content shapes for an origin service synthesis: three new content shapes (symbolic problems, modeling problems) + math tribunal verdict schema. libs/an origin runtime library + services/an origin service, 1653 LOC across 16 files | 28.0h | 50m | 5m | 33.6x | 336.0x |
Aggregate Statistics
| Metric | Value |
|---|---|
| Total tasks | 1 |
| Total human-equivalent hours | 28.0 |
| Total Claude minutes | 50 |
| Total supervisory minutes | 5 |
| Total tokens | 350,000 |
| Weighted average leverage factor | 33.6x |
| Weighted average supervisory leverage factor | 336.0x |
| Human-equivalent weeks | 0.7 |
Analysis
The day's leverage distribution matters more than the headline figure. The 33.6x ceiling came from Math content shapes for an origin service synthesis: three new content shapes (symbolic problems, modeling problems) + math tribunal verdict schema. libs/an ori...; the 33.6x floor was Math content shapes for an origin service synthesis: three new content shapes (symbolic problems, modeling problems) + math tribunal verdict schema. libs/an ori.... 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 (336.0x 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 1 task, the day produced roughly 0.7 weeks of senior-engineer-equivalent throughput in 0.8 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.