Thirty-three tasks. June 4, 2026 weighted to 48.1x leverage across 1301.0 human-equivalent hours in 1622 Claude-minutes. Supervisory leverage closed at 500.4x.
32.5 weeks of human-equivalent throughput in 27.0 hours of Claude wall-clock. The 173.3x ceiling came from Two-pass 66-agent code-grounded re-audit of all 718 patent claims against the live codebase; corrected traceability matrix (325->221 wired, 112 downgrades), regenerated 33 section...; the 5.0x floor sat at Close patent-claim gaps on one application (8 claims) wave-2 lifecycle wiring in an inference engine.
Task Log
| # | Task | Human Est. | Claude | Sup. | Factor | Sup. Factor |
|---|---|---|---|---|---|---|
| 1 | Two-pass 66-agent code-grounded re-audit of all 718 patent claims against the live codebase; corrected traceability matrix (325->221 wired, 112 downgrades), regenerated 33 section sources plus gap analysis plus roadmap, applied dependent-claim semantics | 180.0h | 62m | 3m | 173.3x | 3600.0x |
| 2 | Implemented ~220 patent claims from audit baseline to 441/718 wired via ~28 parallel agents plus shared-file integration wiring; full unit suite 5842 passing | 700.0h | 316m | 12m | 132.9x | 3500.0x |
| 3 | Audit plus wire patent claims to production across multiple applications (19 plus 65 claims) — wiring modules plus REST endpoints plus tests, adversarial per-claim verification, matrix reconciliation 445->528/718, committed and pushed to staging | 100.0h | 55m | 4m | 109.1x | 1500.0x |
| 4 | Patent claim implementation waves: wired and implemented 102 claims (six applications plus 13 subsystems plus 38 mechanism-completion algorithms) to production, adversarially verified, matrix 528->631/718; engine plus docs committed and pushed to staging | 130.0h | 105m | 2m | 74.3x | 3900.0x |
| 5 | Harden patent plus diagram audit specs (4 gap-closing checks) and run proactive 8-agent semantic/legal sweep across all patent drafts; apply ~28 calibrated overclaim/self-contradiction/grammar/cross-ref fixes | 12.0h | 25m | 3m | 28.8x | 240.0x |
| 6 | Patent remediation close-out: hard system-claim attempts (2 confirmed), production spread-propagation fix plus test, comprehensive traceability roadmap/epilogue rewrite; final state 634/718 (88%), 0 not-implemented | 14.0h | 30m | 1m | 28.0x | 840.0x |
| 7 | Patent gap closure on one application — four-feature credential extraction plus reliability weights plus KL-divergence info-gain chain plus session loop | 8.0h | 18m | 3m | 26.7x | 160.0x |
| 8 | Close patent claim gaps on one application in a scenario engine (13 claims) | 16.0h | 38m | 5m | 25.3x | 192.0x |
| 9 | Patent claim gap closure on one application — trajectory optimizer (8 claims) | 12.0h | 42m | 5m | 17.1x | 144.0x |
| 10 | Patent claim gap closure on one application (assessment session orchestrator plus 2 fixes) | 8.0h | 35m | 5m | 13.7x | 96.0x |
| 11 | Close patent-claim gaps on one application in an inference engine composer (10 claims) | 8.0h | 35m | 5m | 13.7x | 96.0x |
| 12 | Patent claim gap closure on one application — 2PL MLE plus 5 mechanisms plus 22 new tests | 4.0h | 22m | 5m | 10.9x | 48.0x |
| 13 | Close patent-claim gaps on one application (typed candidate record plus composite table plus audit-logger injection plus cosine similarity plus cycle logging) | 8.0h | 45m | 5m | 10.7x | 96.0x |
| 14 | Close patent claim gaps on one application: scenario stemtype plus source pair ids; dynamic max-correct cap; injectable LM judge in association extractor; 3..7 step chains; anchor-grounded narrative; rubric converter plus rubric entailment validator wired in goal generation; knowledge scope on persona; injectable LM judges; single-MCQ validator per sub-question; max-correct in format metadata; scheduler instantiated and used; coordinator callable from engine; 45 tests green | 8.0h | 45m | 5m | 10.7x | 96.0x |
| 15 | Close patent-claim gaps on one application (an inference engine interview module) | 8.0h | 45m | 5m | 10.7x | 96.0x |
| 16 | Close patent-claim gaps on one application in an inference engine | 8.0h | 45m | 5m | 10.7x | 96.0x |
| 17 | Close patent claim gaps on one application (4 claims) in an inference engine chat module | 3.5h | 22m | 5m | 9.6x | 42.0x |
| 18 | Patent claim gap closure on one application — readiness prediction engine (13 claims wired plus 20 new tests) | 6.0h | 40m | 5m | 9.0x | 72.0x |
| 19 | Close patent-claim gaps on one application (6 claims) in an inference engine probing modules | 8.0h | 55m | 5m | 8.7x | 96.0x |
| 20 | Pre-filing semantic/legal review of two CIP patent drafts (interactive activities and an internal engine) | 4.0h | 28m | 5m | 8.6x | 48.0x |
| 21 | Wire dormant adversarial detection mechanisms on one application into a detection pass to flip 12 patent claims from partial to reduced-to-practice | 4.0h | 28m | 3m | 8.6x | 80.0x |
| 22 | Patent-claim gap closure on one application (5 claims) in an inference engine replication plus persistence modules | 4.0h | 28m | 5m | 8.6x | 48.0x |
| 23 | Close patent claim gaps on one application: per-concept pass-threshold; embed-model selection; override-audit entry; NLI-threshold mutation; retroactive rescore; NLI checkpoint wiring | 4.0h | 30m | 5m | 8.0x | 48.0x |
| 24 | Close patent-claim gaps on one application (embedding manifold versioning) — fix 7 mechanisms plus 31 new tests | 8.0h | 65m | 5m | 7.4x | 96.0x |
| 25 | Close patent claim gaps on one application (cohort intelligence — ~18 claims) | 4.0h | 35m | 5m | 6.9x | 48.0x |
| 26 | Close patent-claim gaps on one application (behavioral analytics) in an inference engine | 4.0h | 35m | 5m | 6.9x | 48.0x |
| 27 | Pre-filing semantic/legal review of two CIP patent drafts — five-class analysis: absolute-outcome overclaims, claim vs mechanism, cross-reference accuracy, enumeration consistency, domain-neutrality | 3.0h | 28m | 5m | 6.4x | 36.0x |
| 28 | Close patent-claim gaps on one application (cognitive state detection) in an inference engine | 8.0h | 75m | 5m | 6.4x | 96.0x |
| 29 | Close patent-claim gaps on one application (replay plus sim-real, 2 claims) | 2.0h | 20m | 5m | 6.0x | 24.0x |
| 30 | Patent claim gap closure on one application — wire CDV/registry/suppression/session-mode into an activity synthesizer selection step | 4.0h | 45m | 5m | 5.3x | 48.0x |
| 31 | Close patent-claim gaps on one application (federation/tenancy): adaptive clip bound plus diagnostic log plus ring version entry plus influence approximation engine | 3.0h | 35m | 5m | 5.1x | 36.0x |
| 32 | Close patent-claim gaps on one application — explainability engine production-ready plus 85 new tests | 2.5h | 30m | 5m | 5.0x | 30.0x |
| 33 | Close patent-claim gaps on one application (8 claims) wave-2 lifecycle wiring in an inference engine | 5.0h | 60m | 5m | 5.0x | 60.0x |
Aggregate Statistics
| Metric | Value |
|---|---|
| Total tasks | 33 |
| Total human-equivalent hours | 1301.0 |
| Total Claude minutes | 1622 |
| Total supervisory minutes | 156 |
| Total tokens | 30,435,000 |
| Weighted average leverage factor | 48.1x |
| Weighted average supervisory leverage factor | 500.4x |
| Human-equivalent weeks | 32.5 |
Analysis
The day's leverage distribution matters more than the headline figure. The 173.3x ceiling came from Two-pass 66-agent code-grounded re-audit of all 718 patent claims against the live codebase; corrected traceability matrix (325->221 wired, 112 downgrades), reg...; the 5.0x floor was Close patent-claim gaps on one application (8 claims) wave-2 lifecycle wiring in an inference engine. 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 (500.4x 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 33 tasks, the day produced roughly 32.5 weeks of senior-engineer-equivalent throughput in 27.0 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.