Leverage Record: May 12, 2026

Twenty-four tasks. May 12, 2026 weighted to 65.7x leverage across 877.0 human-equivalent hours in 801 Claude-minutes. The day shifted into post-launch consolidation: porting the web client's full feature set to the desktop client, authoring four follow-on IP filings end-to-end, and running deterministic patent-and-diagram audits four consecutive times until the recurrence cycle broke. A typed-atom authoring subsystem and a continuous-density rendering subsystem both had patent drafts completed and audited. Supervisory leverage closed at 506.0x.

21.9 weeks of human-equivalent throughput in 13.4 hours of Claude wall-clock. The 213.3x ceiling came from Author 4 new follow-on filing patent applications (4 follow-on subsystems) — each ~100KB markdown with 20 claims and 8 Mermaid figures, plus full cross-document consistency upda...; the 5.0x floor sat at Fix 8 pre-existing test failures in an inference engine API endpoint suite (route mismatches, wrong status codes, inverted diminishing_note logic).

Task Log

Aggregate Statistics

Analysis

The day's leverage distribution matters more than the headline figure. The 213.3x ceiling came from Author 4 new follow-on filing patent applications (4 follow-on subsystems) — each ~100KB markdown with 20 claims and 8 Mermaid figures, p...; the 5.0x floor was Fix 8 pre-existing test failures in an inference engine API endpoint suite (route mismatches, wrong status codes, inverted diminishing_no.... 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 (506.0x 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.

May 12 was the highest-volume day in the four-day window. The 213x ceiling on the four-IP-filings task came from work that maps cleanly to a known authoring template; the model fills the slot, the audit catches issues, the loop closes in minutes. Cross-platform feature-parity ports also scored high because the source-of-truth implementation already existed in another codebase.

Across the 24 tasks, the day produced roughly 21.9 weeks of senior-engineer-equivalent throughput in 13.4 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.