Seven tasks. May 27, 2026 weighted to 43.6x leverage across 146.0 human-equivalent hours in 201 Claude-minutes. Supervisory leverage closed at 213.7x.
3.6 weeks of human-equivalent throughput in 3.4 hours of Claude wall-clock. The 160.0x ceiling came from Phase 0 plus initial Phase 1 client parity catch-up; plan doc plus Android Profile/DomainSelect/Curriculum plus an interactive-activity interaction manifest across 4 repos.; the 7.2x floor sat at Freedom-to-operate patent search for a cognitive trace-inversion engine patent application..
Task Log
| # | Task | Human Est. | Claude | Sup. | Factor | Sup. Factor |
|---|---|---|---|---|---|---|
| 1 | Phase 0 plus initial Phase 1 client parity catch-up; plan doc plus Android Profile/DomainSelect/Curriculum plus an interactive-activity interaction manifest across 4 repos. | 80.0h | 30m | 3m | 160.0x | 1600.0x |
| 2 | Draft a patent application (trace-inversion engine): 20 claims plus 8 figures for a cognitive-operation trace-inversion engine plus cascading portfolio-doc updates. | 40.0h | 55m | 8m | 43.6x | 300.0x |
| 3 | Consolidate a patent cluster taxonomy from 36 to 12 commercially distinct clusters: rewrite README cluster table plus patent-family grouping intro/IP strategy plus canonical cluster list plus canonical numbers plus FAQ/architecture-tier/valuation header notes plus CHANGELOG entry plus regenerate 4 affected PDFs. | 6.0h | 18m | 7m | 20.0x | 51.4x |
| 4 | Cluster taxonomy cascade across the monorepo: rewrite cluster naming rationale for 12 clusters plus global search/replace for 24 dropped brand names across 6 repos (intellectual property documentation plus planning marketing plus architecture plus an adversarial evaluation harness plus 11 patent application pages plus a marketing-site press kit) plus config files plus manual fix of context-bleed mishaps in 5 files. | 8.0h | 28m | 8m | 17.1x | 60.0x |
| 5 | Update marketing-site templates for the 12-cluster taxonomy: rewrite the clusters template (8 tier groups / 12 clusters with current descriptions) plus the architecture template (13-tier descriptions with multi-tier-spanning cluster callouts) plus the index template (home-page chip block 35 to 12) plus the portfolio template (Tier 9 patent count update plus drop cluster-per-tier subtext) plus publishable-name example refresh. | 4.0h | 15m | 5m | 16.0x | 48.0x |
| 6 | Patent application follow-up: regenerate patent PDFs (application PDF plus figures PDF plus 9 public docs) plus update the patent traceability matrix plus commission and integrate an intellectual property freedom-to-operate search report (LOW risk verdict). | 5.0h | 30m | 5m | 10.0x | 60.0x |
| 7 | Freedom-to-operate patent search for a cognitive trace-inversion engine patent application. | 3.0h | 25m | 5m | 7.2x | 36.0x |
Aggregate Statistics
| Metric | Value |
|---|---|
| Total tasks | 7 |
| Total human-equivalent hours | 146.0 |
| Total Claude minutes | 201 |
| Total supervisory minutes | 41 |
| Total tokens | 1,012,500 |
| Weighted average leverage factor | 43.6x |
| Weighted average supervisory leverage factor | 213.7x |
| Human-equivalent weeks | 3.6 |
Analysis
The day's leverage distribution matters more than the headline figure. The 160.0x ceiling came from Phase 0 plus initial Phase 1 client parity catch-up; plan doc plus Android Profile/DomainSelect/Curriculum plus an interactive-activity interaction manifest acr...; the 7.2x floor was Freedom-to-operate patent search for a cognitive trace-inversion engine patent application.. 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 (213.7x 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 7 tasks, the day produced roughly 3.6 weeks of senior-engineer-equivalent throughput in 3.4 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.