Four tasks. June 26, 2026 weighted to 19.7x leverage across 36.5 human-equivalent hours in 111 Claude-minutes. Supervisory leverage closed at 243.3x.
0.9 weeks of human-equivalent throughput in 1.9 hours of Claude wall-clock. The 26.2x ceiling came from Audit a task tracker (backend/frontend/MCP/tests/4 docs) via 17-agent workflow and remediation: 17 code fixes, 2 new test suites, CI coverage gate, audit report, 19 defect-tracker...; the 12.0x floor sat at Task tracker: no-tests-in-CI policy plus pre-commit gate; 3 cards (depth/item limits, SMS throttle, API key backdoor removal) with tests, 303 green.
Task Log
| # | Task | Human Est. | Claude | Sup. | Factor | Sup. Factor |
|---|---|---|---|---|---|---|
| 1 | Audit a task tracker (backend/frontend/MCP/tests/4 docs) via 17-agent workflow and remediation: 17 code fixes, 2 new test suites, CI coverage gate, audit report, 19 defect-tracker cards, endpoints-doc rewrite | 24.0h | 55m | 3m | 26.2x | 480.0x |
| 2 | Bring up and verify full local stack (inference engine/API gateway/web client/notification service); confirm all 248 live domains loaded in inference engine; end-to-end auth and session smoke test through gateway | 3.0h | 11m | 3m | 16.4x | 60.0x |
| 3 | Task-tracker cards: commit groups plus backend test-gap suite (9 tests, moto S3) plus CSV/JSON export plus print | 4.5h | 20m | 1m | 13.5x | 270.0x |
| 4 | Task tracker: no-tests-in-CI policy plus pre-commit gate; 3 cards (depth/item limits, SMS throttle, API key backdoor removal) with tests, 303 green | 5.0h | 25m | 2m | 12.0x | 150.0x |
Aggregate Statistics
| Metric | Value |
|---|---|
| Total tasks | 4 |
| Total human-equivalent hours | 36.5 |
| Total Claude minutes | 111 |
| Total supervisory minutes | 9 |
| Total tokens | 2,310,000 |
| Weighted average leverage factor | 19.7x |
| Weighted average supervisory leverage factor | 243.3x |
| Human-equivalent weeks | 0.9 |
Analysis
The day's leverage distribution matters more than the headline figure. The 26.2x ceiling came from Audit a task tracker (backend/frontend/MCP/tests/4 docs) via 17-agent workflow and remediation: 17 code fixes, 2 new test suites, CI coverage gate, audit report...; the 12.0x floor was Task tracker: no-tests-in-CI policy plus pre-commit gate; 3 cards (depth/item limits, SMS throttle, API key backdoor removal) with tests, 303 green. 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 (243.3x 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 4 tasks, the day produced roughly 0.9 weeks of senior-engineer-equivalent throughput in 1.9 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.