Seven tasks. June 6, 2026 weighted to 26.8x leverage across 161.5 human-equivalent hours in 362 Claude-minutes. Supervisory leverage closed at 312.6x.
4.0 weeks of human-equivalent throughput in 6.0 hours of Claude wall-clock. The 218.2x ceiling came from A service health monitor coverage backfill: 16% to 95% lines, 31 test files, 263 tests; the 6.6x floor sat at Commit+push verified audit fixes to staging (6 repos, no prod); create private remote for a security-scanning service; create staging branches fleet-wide (89/90 repos); debug zsh :....
Task Log
| # | Task | Human Est. | Claude | Sup. | Factor | Sup. Factor |
|---|---|---|---|---|---|---|
| 1 | A service health monitor coverage backfill: 16% to 95% lines, 31 test files, 263 tests | 40.0h | 11m | 3m | 218.2x | 800.0x |
| 2 | Post-audit remediation + features: quick wins, backup sync of content+weights to 2 buckets, AudioRecorder web parity port + parity-matrix deferred reclassification, engine weights to Git LFS, coverage backfill across 4 repos (~700 tests), fleet-wide staging-to-prod merge-safety reconciliation incl engine conflict resolution, and local engine+api+web stack stood up and verified end-to-end | 48.0h | 112m | 10m | 25.7x | 288.0x |
| 3 | Full readiness audit across 52 repos (Phase 0 + 11-agent fan-out, 222 findings) then applied & independently verified 11 code/test/doc fixes + canonical sync + audit-doc 35-repo expansion | 24.0h | 60m | 4m | 23.9x | 360.0x |
| 4 | Full readiness audit rerun2: Phase 0 + 11-agent workflow fan-out over 38 change-detected repos (131 findings); adversarially verified all 21 CRITICAL+HIGH (1 refuted, 1 downgraded); applied safe fixes + committed/pushed 27 repos; provisioned private tool-fleet-dashboard remote; report + remediation; gated patent items untouched | 40.0h | 107m | 3m | 22.4x | 800.0x |
| 5 | An origin service: raise test coverage from 73.17% to >=75% by adding 85 unit tests across 4 router/CLI modules | 3.0h | 18m | 4m | 10.0x | 45.0x |
| 6 | clear 85% per-module coverage gate for core and persistence modules | 3.0h | 22m | 5m | 8.2x | 36.0x |
| 7 | Commit+push verified audit fixes to staging (6 repos, no prod); create private remote for a security-scanning service; create staging branches fleet-wide (89/90 repos); debug zsh :r modifier | 3.5h | 32m | 2m | 6.6x | 105.0x |
Aggregate Statistics
| Metric | Value |
|---|---|
| Total tasks | 7 |
| Total human-equivalent hours | 161.5 |
| Total Claude minutes | 362 |
| Total supervisory minutes | 31 |
| Total tokens | 4,689,000 |
| Weighted average leverage factor | 26.8x |
| Weighted average supervisory leverage factor | 312.6x |
| Human-equivalent weeks | 4.0 |
Analysis
The day's leverage distribution matters more than the headline figure. The 218.2x ceiling came from A service health monitor coverage backfill: 16% to 95% lines, 31 test files, 263 tests; the 6.6x floor was Commit+push verified audit fixes to staging (6 repos, no prod); create private remote for a security-scanning service; create staging branches fleet-wide (89/90.... 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 (312.6x 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 4.0 weeks of senior-engineer-equivalent throughput in 6.0 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.