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AI MAY 11, 2026

Leverage Record: May 11, 2026

Nineteen tasks. May 11, 2026 weighted to 37.2x leverage across 473.5 human-equivalent hours in 764 Claude-minutes. The day was launch-night itself plus a sustained accessibility-audit-and-remediation push across the cus…

Nineteen tasks. May 11, 2026 weighted to 37.2x leverage across 473.5 human-equivalent hours in 764 Claude-minutes. The day was launch-night itself plus a sustained accessibility-audit-and-remediation push across the customer product and 8 marketing-site fleet members. Late-night security audit, real-time fabric refactor, and the inevitable post-launch infrastructure fixes rounded it out. Supervisory leverage closed at 263.1x.

11.8 weeks of human-equivalent throughput in 12.7 hours of Claude wall-clock. The 240.0x ceiling came from WCAG 2.1 AA accessibility audit across 9 properties (a web client + 8 marketing sites) — ~120 concrete findings with file:line refs, severity grouping, cross-cutting themes, and...; the 7.6x floor sat at Launch-night batch: fix admin delete lockup (a cache layer purge timeout), unblock an API service CI build (ruff lint), kill a frontend library 401 retry storm, rebuild + upload....

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

#TaskHuman Est.ClaudeSup.FactorSup. Factor
1WCAG 2.1 AA accessibility audit across 9 properties (a web client + 8 marketing sites) — ~120 concrete findings with file:line refs, severity grouping, cross-cutting themes, and 6-8 dev-day remediation roadmap60.0h15m2m240.0x1800.0x
2Full WCAG 2.1 AA accessibility audit on a web client + 8 sister sites — deterministic checker + parallel LLM judgment phase, 56 findings (7 CRITICAL, 17 HIGH, 24 MEDIUM, 8 LOW) with sequenced remediation plan30.0h17m2m105.9x900.0x
3WCAG 2.1 AA remediation across 11 repos (a web client + design-system + activities + a marketing site flagship + 6 sister sites + shared template + enterprise accessibility-statement rewrite). 8 parallel fix agents, design-system fixes propagate via roving tabindex/aria-controls/FocusScope traps; shared Jinja partia...70.0h40m1m105.0x4200.0x
4Full WCAG 2.1 AA accessibility audit across a web client and 10 sister sites (123 findings; 13 P0 blockers identified). Consolidated report written to the monorepo audits/reports/accessibility-audit-report-2026-05-11-deep.md.24.0h18m3m80.0x480.0x
5Fix all 56 WCAG 2.1 AA accessibility findings (7 CRITICAL + 17 HIGH + 24 MEDIUM + 8 LOW) across a web client and the 8 sister sites — token contrast, focus management, ARIA wiring, keyboard nav, focus traps, animation guards, touch targets, document titles, modal labelling, custom tablists, FAQ semantic structure, e...60.0h50m1m72.0x3600.0x
6Pre-launch security & crash audit + fix sweep across auth/purchase/onboarding/notification services: 21 issues fixed (4 CRITICAL admin gaps + IDOR, MFA bypass, webhook bypass, IDOR/spam, plus 17 HIGH), 2 alembic migrations, 109 new tests, all 4 services deployed and smoke-tested in prod, plus a notification service...48.0h55m8m52.4x360.0x
7a newsletter platform: refactor real-time fabric from WebSocket to REST + SSE (a cache layer pub/sub + ring buffer, new /events/stream + /events/recent endpoints, EventStreamContext, cross-newsletter ActivityPage, full test rewrite)14.0h18m4m46.7x210.0x
8a project management cert demo + Adaptive Lesson Generation 2.0: plan + patentability (8 claims), atom schema+validator+composer+generator end-to-end, 6 project management cert item generators producing +671 new items (multiselect/dragmatch/sequence/roleplay/constructedresponse), 8x throughput refactor via map_s...50.0h90m5m33.3x600.0x
9WCAG 2.1 AA accessibility audit of shared a learning platform Jinja templates (30 templates + main.js, 23 issues found)12.0h28m5m25.7x144.0x
10WCAG 2.1 AA accessibility audit of a marketing site and a marketing site — all templates, content pages, built HTML8.0h22m5m21.8x96.0x
11Build isolated E2E Playwright harness (auth, stubs, page objects, firehose + journey runners) + fix 6 production bugs surfaced by harness (legacy token scrub, RemoteBanners filter, proficiency entries, dailyStats NaN, ResumeReviewSection length, offlineQueue indexedDB); 10 commits across an inference engine/an API s...30.0h90m8m20.0x225.0x
12Launch-night DB pool sweep across 19 repos + a cache layer-backed user/refresh-token cache (refresh tokens moved to a cache layer-only, Postgres no longer system of record) + cross-service cascade delete (auth → purchase) + entitlements queryKey user-scoping24.0h90m8m16.0x180.0x
13Deploy a newsletter platform SSE refactor + fix an assets CDN CORS (S3 bucket policy + CloudFront invalidation)1.5h6m1m15.0x90.0x
14an admin tool: wire hard-delete customer flow to a billing service GDPR endpoint so subscriptions/payments/comps cascade-delete and a payment provider stops billing; receipt modal now shows purchase-side counts and a payment provider cancel errors2.0h8m3m15.0x40.0x
15Add system snapshot purge (archived + older-than modes) to an admin tool SnapshotsTab + RPC handler; fix banner save MissingGreenlet by setting eager_defaults=True on Banner model3.0h12m4m15.0x45.0x
16CSS accessibility audit: color contrast, focus styles, motion preferences across sister sites and a web client6.0h25m10m14.4x36.0x
17WCAG 2.1 AA accessibility audit of a web client React SPA8.0h35m10m13.7x48.0x
18Launch-day recovery: rewrote launch schedule for post-PH-flop reality (struck dead email-blast rows, added wire spend, fixed LinkedIn post date), audited homepage email-capture gap, wrote 08solofounderpressplan.md (~430 lines: Anthropic-first/newsletter/exclusive/HN-inbound/aggregator strategy with per-outlet pe...16.0h90m22m10.7x43.6x
19Launch-night batch: fix admin delete lockup (a cache layer purge timeout), unblock an API service CI build (ruff lint), kill a frontend library 401 retry storm, rebuild + upload 4.3GB boot cache to S3, author SessionStart voice hook with compaction-safe persistence7.0h55m6m7.6x70.0x

Aggregate Statistics

MetricValue
Total tasks19
Total human-equivalent hours473.5
Total Claude minutes764
Total supervisory minutes108
Total tokens5,185,500
Weighted average leverage factor37.2x
Weighted average supervisory leverage factor263.1x
Human-equivalent weeks11.8

Analysis

The day's leverage distribution matters more than the headline figure. The 240.0x ceiling came from WCAG 2.1 AA accessibility audit across 9 properties (a web client + 8 marketing sites) — ~120 concrete findings with file:line refs, seve...; the 7.6x floor was Launch-night batch: fix admin delete lockup (a cache layer purge timeout), unblock an API service CI build (ruff lint), kill a frontend l.... 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 (263.1x 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.

May 11 was the actual launch day. The 240x ceiling on the WCAG audit task is a useful data point: deterministic audit work against a defined standard is where AI leverage maxes out, because the specification is external and the checker is mechanical. Launch-night fixes ran lower-leverage because every change needed live-system verification.

Across the 19 tasks, the day produced roughly 11.8 weeks of senior-engineer-equivalent throughput in 12.7 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.