Twelve tasks. June 22, 2026 weighted to 20.2x leverage across 124.8 human-equivalent hours in 371 Claude-minutes. Supervisory leverage closed at 213.9x.
3.1 weeks of human-equivalent throughput in 6.2 hours of Claude wall-clock. The 129.2x ceiling came from Reviewed test coverage across all 19 library repos: stack, runner, test/source counts, coverage gates, and gaps; fanned out 10 parallel audit agents and synthesized; the 3.0x floor sat at Update a marketing platform README/CLAUDE/CHANGELOG for Anthropic prompt-caching change in the Anthropic call handler.
Task Log
| # | Task | Human Est. | Claude | Sup. | Factor | Sup. Factor |
|---|---|---|---|---|---|---|
| 1 | Reviewed test coverage across all 19 library repos: stack, runner, test/source counts, coverage gates, and gaps; fanned out 10 parallel audit agents and synthesized | 14.0h | 6m | 2m | 129.2x | 420.0x |
| 2 | Reviewed an email platform vs docs (re-verified 116-finding audit) + remediated P0 security (OAuth CSRF, AUTH_DISABLED guard, 2 IDOR), AI settings persistence, /snoozed e2e, In-Reply-To + inline base64, frontend compose (upload/toolbar/XSS), rate limiter, beat tasks, digest delivery, sentiment window; +25 tests, 2 migrations, test-isolation fix | 56.0h | 77m | 3m | 43.7x | 1120.0x |
| 3 | Email platform remediation round 2 — remaining open items: Gmail OIDC webhook auth, Graph webhook account targeting + subscription renewal task, scheduled-send NameError, push-subscription unique constraint, AI budget on 3 LLM paths, cache bound + trash-purge eviction, CSP header, IMAP UID mutations, a relationship CRM X-User-Id forwarding; +16 tests, 1 migration; pushed to staging | 28.0h | 75m | 2m | 22.4x | 840.0x |
| 4 | LLM caching+batching audit: root-caused 77% Anthropic cache drop, added cached system blocks to tier-question generation + salvage confirm sweep, enabled+verified a third-party model cache_control | 5.0h | 20m | 3m | 15.0x | 100.0x |
| 5 | Adversarial content quality audit of a third-party model-generated content for a certification domain (285 nodes, 843 pairs) | 4.0h | 20m | 5m | 12.0x | 48.0x |
| 6 | Adversarial-workflow-driven LLM fixes: salvage batch resume order-mismatch (HIGH) + succeeded-count guard + credit/parse hardening; tier recall regeneration to per-domain Anthropic Batches API; cache_control on a marketing platform Anthropic path; all verified live | 4.5h | 30m | 2m | 9.0x | 135.0x |
| 7 | Convert salvage confirm sweep (~2900-node 2-stage Haiku+Sonnet quality gate) to resumable Anthropic Batches API (50% off both stages); verified submit/poll/fetch/parse/resume live end-to-end | 3.5h | 28m | 2m | 7.5x | 105.0x |
| 8 | An internal engine omniscient sweep prep: full local stack bring-up (infrastructure+inference engine+API gateway+web client+internal engine), GCP UUID resolution bug fix in omniscient profile generation, end-to-end spot-check validation | 5.0h | 45m | 2m | 6.7x | 150.0x |
| 9 | Update an origin service docs for LLM caching+batching (CHANGELOG/CLAUDE/DESIGN/README) | 1.0h | 12m | 3m | 5.0x | 20.0x |
| 10 | Background canonical-values reconciliation — 11 canonical values across 8 files (The Deferral) | 3.0h | 45m | 5m | 4.0x | 36.0x |
| 11 | Update an inference engine docs for LLM caching+batching changes | 0.5h | 8m | 3m | 3.8x | 10.0x |
| 12 | Update a marketing platform README/CLAUDE/CHANGELOG for Anthropic prompt-caching change in the Anthropic call handler | 0.2h | 5m | 3m | 3.0x | 5.0x |
Aggregate Statistics
| Metric | Value |
|---|---|
| Total tasks | 12 |
| Total human-equivalent hours | 124.8 |
| Total Claude minutes | 371 |
| Total supervisory minutes | 35 |
| Total tokens | 9,595,000 |
| Weighted average leverage factor | 20.2x |
| Weighted average supervisory leverage factor | 213.9x |
| Human-equivalent weeks | 3.1 |
Analysis
The day's leverage distribution matters more than the headline figure. The 129.2x ceiling came from Reviewed test coverage across all 19 library repos: stack, runner, test/source counts, coverage gates, and gaps; fanned out 10 parallel audit agents and synthes...; the 3.0x floor was Update a marketing platform README/CLAUDE/CHANGELOG for Anthropic prompt-caching change in the Anthropic call handler. 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 (213.9x 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 12 tasks, the day produced roughly 3.1 weeks of senior-engineer-equivalent throughput in 6.2 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.