Twenty tasks. May 7, 2026 weighted to 10.9x leverage across 304.5 human-equivalent hours in 1676 Claude-minutes. Admin/ops dominated the day's volume. Supervisory leverage closed at 188.4x.
The day's ceiling was 68.6x (40h human in 35 Claude-minutes) on Pre-launch burndown: fixed 3 holdout partial labs (git-lab-02, a cloud cert exam-lab-16, a cloud cert exam-lab-14), shipped Phase-2 polish for 5 simulators (not. The floor was 0.7x on the marketing site courses page: tighten card cap from 20 to 15, strip Certified word from 99 course titles via template filter (cards + course pages), reorder . Median Claude-minutes per task: 60; median human-equivalent hours per task: 7.
About These Records
These time records capture personal project work done with Claude Code (Anthropic) only. They do not include work done with ChatGPT (OpenAI), Gemini (Google), Grok (xAI), or other models, all of which I use extensively. Client work is also excluded, despite being primarily Claude Code. The actual total AI-assisted output for any given day is substantially higher than what appears here.
Task Log
| # | Task | Human Est. | Claude | Sup. | Factor | Sup. Factor |
|---|---|---|---|---|---|---|
| 1 | Pre-launch burndown: fixed 3 holdout partial labs (git-lab-02, a cloud cert exam-lab-16, a cloud cert exam-lab-14), shipped Phase-2 polish for 5 simulators (notebook markdown preview, SQL chart panel, project-board drag-and-drop kanban, SIEM MITRE ATT&CK tagging, network topology SVG diagram), shipped 8 native-language syntax-validating resolvers (Java/Go/Rust/Swift/C#/PHP/Ruby/Kotlin) with 14 unit tests, documented vendor-console deferral until post-Monday-launch. 1 commit pushed. | 40.0h | 35m | 1m | 68.6x | 2400.0x |
| 2 | Phase-2 round 2 across all 7 simulators: Project Board (visual Gantt + burndown SVGs), SQL Workbench (schema browser sidebar + describeSchema SDK), Policy Editor (SVG diagram canvas with arrows), Device Manager (Disks tab with partition bar + POST screen), SIEM Workbench (event detail with pivots + kill-chain investigations timeline), Network Topology (Cisco-style CLI panel with show ip interface brief / show ip route / configure terminal / ping), Notebook (matplotlib inline PNG capture + DataFrame HTML rendering). 7 tasks completed; 51 simulator unit tests pass. | 56.0h | 50m | 1m | 67.2x | 3360.0x |
| 3 | Built Top-3 parity catch-up via parallel sub-agents: Electron SSE event-bus client (port from web), Electron embedded Stripe subscribe flow + useRequireSubscription gate (CSP allowlist, SSE-driven completion, deep-link 3DS return), iOS ExamReviewView (new SwiftUI view + data model + 13 localization keys + xcodeproj wiring) | 10.0h | 15m | 1m | 40.0x | 600.0x |
| 4 | the an internal service: generate 5 top-level hero images via an image model.1 Pro (home, about, applications, contact, portfolio), wire 7 heroes total into all top-level page templates including index.jinja behind particle canvas, WebP optimization, deploy prod+staging | 10.0h | 16m | 1m | 37.5x | 600.0x |
| 5 | Audited web client vs electron + iOS; expanded parity script (+22 features, 2 false-positive fixes, console-sim reclassification), regenerated FEATUREPARITYMATRIX.md, wrote parity-drift-prioritization-2026-05-07.md sprint plan with two parallel tracks for catch-up | 5.0h | 15m | 2m | 20.0x | 150.0x |
| 6 | Three audience-tailored 'Making What If?' blog posts: a personal site (first-person reflective, lessons-learned tone), renkara.com (engineering build voice with ffmpeg code blocks), _shared-the product/blog (product marketing, links to /vote/). All 3 set to draft:true and dated 2026-05-12. Plus comprehensive rewrite of tools/static site generator/CLAUDE.md and README.md deploy sections documenting the actual no-CI/CD reality for marketing sites, the safe sequential build pattern (rm -rf dist .static site generator-build between stages to prevent staging→production cross-contamination), draft handling, post-deploy verification, and common-mistake catalog. ~5000 words of new prose total. | 16.0h | 60m | 5m | 16.0x | 192.0x |
| 7 | the an internal service: homepage app-domain cards w/ heroes, footer text fix, replace hardcoded counts with [[canon:]] placeholders, renumber+reorder tiers (Foundational=1, Validation moved to 8, Transparency-Social swap), add 5 brand.bio.* canon keys, fix 27→canon on renkara.com, cascade tier reorder to IP portfolio docs (README, PlatformArchitectureTiers, FAQ, PatentFamilyGrouping), recursive resolver fix (static site generator+standalone), replace cdn.tailwindcss with built tailwind-compiled.css; deploy prod+staging | 24.0h | 95m | 12m | 15.2x | 120.0x |
| 8 | Reordered Phase E queue to prioritize CompTIA after PMI for launch credibility. Wrote Phase E2 orchestrator (PMI→CompTIA→ScrumAlliance→ISACA→ISC2 at 4-way) and a race-free swap handler that polls for active python content jobs hitting zero (Phase E batch boundary), grants 15s grace for run_one post-processing, then SIGTERMs the Phase E parent and launches Phase E2 lossless — no in-flight specs interrupted. Chains forward to Phase F (Meta recovery) | 5.0h | 22m | 4m | 13.6x | 75.0x |
| 9 | Press release rewrite (live vs shipping, Autopilot/behavioral, strip jargon, anchor originating patent + perf), add deferred-content launch placeholders, correct HQ city/dateline, build pre-commit canon validator + helper script | 4.0h | 18m | 6m | 13.3x | 40.0x |
| 10 | Port embedded subscribe flow from web client to desktop client (SubscribeModal, SubscribeScreen, SubscribeCompleteScreen, useRequireSubscription, subscription API client, CSP update, TTS gate wiring) | 8.0h | 40m | 5m | 12.0x | 96.0x |
| 11 | the product launch teaser end-to-end production pipeline: 5 protagonist refs (an image model.1 Pro Ultra), 16+ character-locked stills (an image model) with multiple iterations per shot, 16 video shots (a video model) animated from locked stills, 3 music tracks (a TTS service) with iterative prompts, narration recording + ffmpeg cleanup chain (highpass, FFT denoise, declick, deesser, compressor, limiter), ffmpeg assembly with timing-derived cuts, animated LAUNCHING/MONDAY title plate (PIL+ffmpeg fades), crossfade transitions, poster prepend for messaging-app preview, 60s trim, 4 compressed delivery variants | 80.0h | 540m | 12m | 8.9x | 400.0x |
| 12 | Add ExamReviewView.swift to iOS client — per-question post-exam review screen with NavigationStack push from ExamResultsView | 4.0h | 28m | 5m | 8.6x | 48.0x |
| 13 | Port SSE event-bus client from web client to desktop client | 2.0h | 14m | 3m | 8.6x | 40.0x |
| 14 | the marketing site launch pages + newsletter platform integration: built /vote/ (A/B teaser comparison with bias-neutral Video 1/Video 2 labels, JS-driven radio selection, newsletter platform public subscribe form) and /product-hunt/ (launch CTA explainer with upvote walkthrough). Custom Jinja templates extending shared the product overlay. Created newsletter platform 'the product Launch Feedback' newsletter via MCP. Iterative bug-fix cycle: asset path resolution (/assets/ vs root), CORS-aware fetch with graceful fallback, B-version voice regeneration with George + audio level matching to A (-20dB attenuation), shot-1 poster cache-busting. Targeted S3 + CloudFront deploys via aws-cli (no CI/CD exists for marketing sites). | 18.0h | 180m | 8m | 6.0x | 135.0x |
| 15 | the platform ADR-0002 follow-ups Thread 1+3+4: autopilot-driven harness mode in headlessrunner (StudentProfile.harnessmode + loadpairsbygoal helper + gradeonepair goalid parameter), clarifying comment block on gradeonepair documenting calibration vs optimizer validation paths, per-domain targetcompetence + competencefloor overrides from domain.exammetadata plumbed through restgateway → orchestrator → plansession. | 4.0h | 60m | 2m | 4.0x | 120.0x |
| 16 | the platform multi-cohort calibration sweep proving predictor handles heterogeneous learners (Charles-style 10/10 pass at predicted 0.975 actual 0.824 ECE 0.025) — MoE design exploration deferred since single-model predictor is well-calibrated for novice/ready/heterogeneous regimes (overall Brier=0.003, ECE=0.034). Postgres recovery from Docker corruption. | 4.0h | 70m | 3m | 3.4x | 80.0x |
| 17 | the platform predictor mixture-of-experts design exploration + Phase F (heterogeneous goaltargetaccuracies in StudentProfile + per-question lookup in headless_runner) + Charles Sieg resume-modeled a cloud cert exam profile generator (70 leaf goals classified into weak/moderate/strong by keyword rules from resume) + multi-cohort sweep script (novice CLF, ready CLF, Charles-style heterogeneous ANS). | 5.0h | 90m | 8m | 3.3x | 37.5x |
| 18 | the platform ADR-0002 + ELIF (predictor calibration robustness + gap-focused optimizer): full ADR with 12-section MADR shape (decision drivers, considered options A-F, detailed design split into 5.1 predictor + 5.2 optimizer, 5-phase implementation plan, validation criteria, 4 documented risks, decision log including a correction entry). Implemented Fix 1 (gapfocus urgency function), Fix 2 (competence floor on readiness), Fix 3 (two-phase state machine) behind a feature flag feature flag in autopilotranker.py + restgateway.py. Five regression tests in testaudit_regressions.py. Validation testing surfaced that the original diagnosis was partially wrong — the legacy ranker already picks weak goals; the decoy harness was bypassing the optimizer. Honest correction logged in ADR decision log. | 7.0h | 130m | 10m | 3.2x | 42.0x |
| 19 | the marketing site title cleanup: hide redundant total pill on provider pages, factor coursetitle macro into tmmacros, preserve Certified-in-X (ISC2/ISACA) carve-outs, strip trailing Certificate (ISACA Certificates), wire macro into 9 call sites across courses/course-page/category-page templates, deploy 3 prod + 1 staging cycles | 1.5h | 110m | 5m | 0.8x | 18.0x |
| 20 | the marketing site courses page: tighten card cap from 20 to 15, strip Certified word from 99 course titles via template filter (cards + course pages), reorder VMware after Cisco in Networking and Salesforce/SAP/Oracle after IBM in Enterprise, deploy 1 prod + 1 staging build | 1.0h | 88m | 3m | 0.7x | 20.0x |
Aggregate Statistics
| Metric | Value |
|---|---|
| Total tasks | 20 |
| Total human-equivalent hours | 304.5 |
| Total Claude minutes | 1676 |
| Total supervisory minutes | 97 |
| Total tokens | 4,951,500 |
| Weighted average leverage factor | 10.9x |
| Weighted average supervisory leverage factor | 188.4x |
Analysis
The day's leverage distribution is the part that matters more than the headline figure. 4 tasks cleared the 30x threshold; 6 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 7, 2026 the 68.6x ceiling came from Pre-launch burndown: fixed 3 holdout partial labs (git-lab-02, a cloud cert exam-lab-16, a cloud cert exam-lab. The work fit cleanly into 35 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 0.7x floor on the marketing site courses page: tighten card cap from 20 to 15, strip Certified word from 99 course titles vi reflects a near-1:1 ratio that reflects bounded review-heavy work where the human watches each step. The supervisory ratio (188x 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.