Five tasks. May 18, 2026 weighted to 30.4x leverage across 190.0 human-equivalent hours in 375 Claude-minutes. Supervisory leverage closed at 518.2x.
4.8 weeks of human-equivalent throughput in 6.2 hours of Claude wall-clock. The 120.0x ceiling came from Review an admin client and author full Stitch prompt for Westworld Delos-themed WebGL/Rive redesign covering all 24 pages, design tokens, component vocabulary, motion language, aud...; the 13.6x floor sat at Docstring audit Phase 7 (Protocol contract enforcement): new audit script (scripts/auditprotocolcontracts.py, 857 LoC) with AST-based one-hop expansion through same-class helpers....
Task Log
| # | Task | Human Est. | Claude | Sup. | Factor | Sup. Factor |
|---|---|---|---|---|---|---|
| 1 | Review an admin client and author full Stitch prompt for Westworld Delos-themed WebGL/Rive redesign covering all 24 pages, design tokens, component vocabulary, motion language, audio design, and fidelity grading rubric | 24.0h | 12m | 3m | 120.0x | 480.0x |
| 2 | Aperture V2 viewer Phases 1-3: Three.js stage layer (paper-grain + page-turn shaders, mastery candle, postprocessing), Rive Living Diagrams integration (validator update in engine), layer-registry slot system, Settings UI toggle, 19 vitest cases, Storybook themes/density stories | 45.0h | 35m | 1m | 77.1x | 2700.0x |
| 3 | Resume + commit cleanup across engine/audits/domains, then scaffold Phase 0 Aperture V2 lesson viewer (4-layer V1↔V2 toggle, theme + motion + density registries, ApertureShell, AdaptiveDensityLayer idea #9, ViewerErrorBoundary, an analytics platform telemetry; ~950 LOC; vite build clean) | 16.0h | 28m | 6m | 34.3x | 160.0x |
| 4 | an inference engine autopilot Fix A: coverage damping + hard ceiling on readiness. SOA-C02 baseline 36/73 KG goals at exampassed→ 73/73 covered + passed; 36/38 cloud certs hit full per-goal coverage across AWS/GCP/Azure cascade. computedomainreadiness (helpers.py:712+) and computenext_actions (autopilot... | 100.0h | 278m | 10m | 21.6x | 600.0x |
| 5 | Docstring audit Phase 7 (Protocol contract enforcement): new audit script (scripts/auditprotocolcontracts.py, 857 LoC) with AST-based one-hop expansion through same-class helpers AND field-attribute delegates; audited 12 raise contracts across 7 Protocol abc.py files against 7 canonical implementer classes;... | 5.0h | 22m | 2m | 13.6x | 150.0x |
Aggregate Statistics
| Metric | Value |
|---|---|
| Total tasks | 5 |
| Total human-equivalent hours | 190.0 |
| Total Claude minutes | 375 |
| Total supervisory minutes | 22 |
| Total tokens | 1,416,500 |
| Weighted average leverage factor | 30.4x |
| Weighted average supervisory leverage factor | 518.2x |
| Human-equivalent weeks | 4.8 |
Analysis
The day's leverage distribution matters more than the headline figure. The 120.0x ceiling came from Review an admin client and author full Stitch prompt for Westworld Delos-themed WebGL/Rive redesign covering all 24 pages, design tokens, component vocabulary,...; the 13.6x floor was Docstring audit Phase 7 (Protocol contract enforcement): new audit script (scripts/auditprotocolcontracts.py, 857 LoC) with AST-based one-hop expansion throug.... 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 (518.2x 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 4.8 weeks of senior-engineer-equivalent throughput in 6.2 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.