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Seven tasks. April 14 was a deployment and iteration day: a new shared login UI shipped to all 15 tools, fleet API uniformity finished across three remaining tools, and the autopilot ranker went through 14 iterative simulation runs to prove out Bayesian priors and entity persistence. The weighted average leverage factor was 14.2x with a supervisory leverage of 149.0x.
The 14.2x weighted average is the lowest of the three-day window by a significant margin, and the cause is clear: the autopilot ranker task consumed 420 minutes (7 hours) and produced a 5.71x leverage factor. That single task accounts for 69% of the day's total Claude time. Strip it out and the remaining six tasks run at a weighted average above 35x. The 420-minute session was not inefficient; iterating a reinforcement-style ranker through 14 live simulation runs is inherently time-intensive work, and the human estimate of 40 hours for that task is conservative.
Task Log
| # | Task | Human Est. | Claude | Sup. | Factor | Sup. Factor |
|---|---|---|---|---|---|---|
| 1 | Deploy velvet-rope login page (shared app-shell 0.1.4) across all 15 tools: package publish + per-tool package.json bump + CI/CD pushes | 32h | 25m | 3m | 76.8x | 640.0x |
| 2 | Course pages: add course outline + hands-on labs sections | 5h | 8m | 6m | 37.5x | 50.0x |
| 3 | Fleet API uniformity: remove legacy routes from 3 tools, fix CodeBuild INSTANCE_ID (8 instances), arm64 buildx + SSM polling propagation (14 services), fix team wiki auth security bug, force-redeploy stale containers | 48h | 90m | 4m | 32.0x | 720.0x |
| 4 | Fix exam scraper (use correct test IDs) + engine node-only entity embedding update so question-bank answers without pair ID still move proficiency | 10h | 25m | 3m | 24.0x | 200.0x |
| 5 | Publish shared app-shell 0.1.0 to package registry; deploy metrics tracker with app-shell migration + velvet-rope login + API URL rename | 4h | 10m | 2m | 24.0x | 120.0x |
| 6 | Redesign auth-service login UI with velvet-rope aesthetic (light+dark), wordmark from env var, split Docker build per deployment | 5h | 30m | 5m | 10.0x | 60.0x |
| 7 | Phase 1 autopilot ranker buildout: 17-activity catalog + Bayesian priors + plan-stale logic + entity persistence + sigmoid proficiency + 14 iterative simulation runs + exam submit response capture fix | 40h | 420m | 35m | 5.71x | 68.6x |
Aggregate Statistics
| Metric | Value |
|---|---|
| Total tasks | 7 |
| Total human-equivalent hours | 144.0 |
| Total Claude minutes | 608 |
| Total supervisory minutes | 58 |
| Total tokens | 2,735,000 |
| Weighted average leverage factor | 14.2x |
| Weighted average supervisory leverage factor | 149.0x |
Analysis
The login page deployment (76.8x) was the most leverage-efficient task of the day. Shipping a new package version to all 15 tools required publishing to the package registry, bumping the version in 15 separate package.json files, pushing each repo through CI/CD, and verifying the deployed output. A human coordinating this across 15 repositories would spend most of a day on it. The deployment compressed into 25 minutes and produced a consistent, verified result across the fleet.
The fleet API uniformity task (32.0x) closed out a multi-day remediation effort. Removing legacy routes from three remaining tools sounds mechanical, but the associated work -- fixing CodeBuild instance ID propagation across 8 build environments, resolving arm64 cross-compilation for EC2 targets, and catching an auth bypass bug in the team wiki -- is the kind of multi-system debugging that requires holding many moving parts in context simultaneously. The 90 minutes here reflects genuine complexity, not repetitive work.
The autopilot ranker task (5.71x) stands apart from everything else on this day. The work itself covers real algorithmic ground: a 17-activity catalog with estimated difficulty and skill vectors, Bayesian prior initialization, plan-stale detection, entity embedding persistence so proficiency changes survive session boundaries, and sigmoid-shaped proficiency updates. The 14 iterative runs were not retries on a failing build; they were hypothesis tests against a live simulator. Each run produced data, the data informed the next parameter adjustment, and the process converged on a ranker that correctly sequenced activities by predicted learning efficiency. At 5.71x, the leverage factor understates the value relative to what a research-oriented human team would spend to reach the same result, since that work would also include literature review, design discussions, and multiple implementation cycles.
The day's total token count (2.735M) is high relative to the task count because the ranker session alone consumed 1.2M tokens. The remaining six tasks averaged under 130K tokens each. The supervisory leverage of 149.0x reflects that 58 minutes of human direction produced 144 hours of output -- a reasonable ratio for a day where a significant portion of the work was iterative research rather than specification-driven construction.
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