Six tasks. May 5, 2026 weighted to 27.3x leverage across 130.5 human-equivalent hours in 287 Claude-minutes. Lab simulator dominated the day's volume. Supervisory leverage closed at 652.5x.
The day's ceiling was 144.0x (60h human in 25 Claude-minutes) on Bulk-migrated 568 legacy lab step-issues: wrote scripts/migratefreelabs.py extracting code blocks + filenames into editor-create-file uiSteps; flagged 341 tem. The floor was 8.0x on Watch sweep complete (2.6h, 1700 labs, 36 partial). Triaged: removed 103 unwired propertiesPresent in 69 cloud-cert labs (recovered 8 partial->full); fixed a cl. Median Claude-minutes per task: 60; median human-equivalent hours per task: 14.
Task Log
| # | Task | Human Est. | Claude | Sup. | Factor | Sup. Factor |
|---|---|---|---|---|---|---|
| 1 | Bulk-migrated 568 legacy lab step-issues: wrote scripts/migratefreelabs.py extracting code blocks + filenames into editor-create-file uiSteps; flagged 341 templated-stub labs as shipping:false. Audit now zero across 2196 labs. | 60.0h | 25m | 1m | 144.0x | 3600.0x |
| 2 | Five follow-ups: fixed 522 mismatched/wrong-type checkpoints across 245 labs (auto-detector); split 66 && commands across 44 labs; flagged gql-lab-01 as shipping:false; investigated vitest hang (it is just slow, not broken); kicked off full Watch corpus; built and integrated Pyodide python resolver (CDN-loaded, lazy) with 6 unit tests; rewired 132 cat-->python verifications across 45 labs. | 32.0h | 75m | 1m | 25.6x | 1920.0x |
| 3 | Lab audit cleanup (32 issues→0) + per-cert lab-examples-by-simulator doc + simulator-inventory doc covering 8 shipped + 8 planned simulators | 14.0h | 35m | 4m | 24.0x | 210.0x |
| 4 | Reschedule the product launch May 5 -> May 11 + cascade dates across plan, canonical-values.yaml, press kit, launch-content drafts, and CLAUDE.md | 2.5h | 12m | 4m | 12.5x | 37.5x |
| 5 | Deleted legacy action-dispatch.ts (20K LOC) + bridge from generic-executor; made expectedActions optional in lab-types; fixed pre-existing lab-loader test failures; ran Watch sweep on 65+ migrated labs (~92% full-score); auto-fixed 19 EDITOR::File assertion mismatches; rebuilt lab-test-manifest. | 14.0h | 80m | 1m | 10.5x | 840.0x |
| 6 | Watch sweep complete (2.6h, 1700 labs, 36 partial). Triaged: removed 103 unwired propertiesPresent in 69 cloud-cert labs (recovered 8 partial->full); fixed a cloud cert exam slots->deploymentSlots property name; flagged gql-lab-02/04 shipping:false (multi-create-file flake same as gql-lab-01); relaxed audit script to accept multi-type assertions as property-equivalent. Final: 1664+8 ~= 98.4% full-score corpus. | 8.0h | 60m | 1m | 8.0x | 480.0x |
Aggregate Statistics
| Metric | Value |
|---|---|
| Total tasks | 6 |
| Total human-equivalent hours | 130.5 |
| Total Claude minutes | 287 |
| Total supervisory minutes | 12 |
| Total tokens | 1,134,000 |
| Weighted average leverage factor | 27.3x |
| Weighted average supervisory leverage factor | 652.5x |
Analysis
The day's leverage distribution is the part that matters more than the headline figure. 1 task cleared the 30x threshold; 0 tasks ran below 5x. The 30x+ tier is what produces the impression that AI changes the time-cost curve; the sub-5x tier is what reminds anyone watching that some work is still gated by human review and cannot speed up arbitrarily.
Top-of-distribution tasks tend to share a shape: tightly-scoped, well-specified, with no integration ambiguity. On May 5, 2026 the 144.0x ceiling came from Bulk-migrated 568 legacy lab step-issues: wrote scripts/migratefreelabs.py extracting code blocks + filename. The work fit cleanly into 25 Claude-minutes because the inputs and the success criterion were both explicit; the AI was not required to discover anything new. That shape is repeatable; tasks like it post 30x to 60x consistently across the recent log.
Bottom-of-distribution work runs differently. The 8.0x floor on Watch sweep complete (2.6h, 1700 labs, 36 partial). Triaged: removed 103 unwired propertiesPresent in 69 cloud reflects real human review per checkpoint, often serial because each step depends on the previous one. The supervisory ratio (652x weighted today) tracks differently: it captures how much human prompt-writing time the day's output consumed, and it stays high even on lower-leverage days because supervisory minutes scale roughly with task count, not with human-equivalent hours.