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AI MAY 14, 2026

Leverage Record: May 14, 2026

Eight tasks. May 14, 2026 weighted to 31.1x leverage across 189.0 human-equivalent hours in 365 Claude-minutes. Supervisory leverage closed at 290.8x.

Eight tasks. May 14, 2026 weighted to 31.1x leverage across 189.0 human-equivalent hours in 365 Claude-minutes. Supervisory leverage closed at 290.8x.

4.7 weeks of human-equivalent throughput in 6.1 hours of Claude wall-clock. The 64.0x ceiling came from Merge an authentication service + a purchase service + an onboarding service + an inference engine-a recruiter product-web backend into an API gateway as separate logical DBs (auth...; the 4.4x floor sat at Content audit run; identified next 10 priority domains; SOA-C02 pair_id linkage repair (12.2% -> 100%); diagnosed cross-domain prereq validator bug; built and launched audit-batch....

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
1Merge an authentication service + a purchase service + an onboarding service + an inference engine-a recruiter product-web backend into an API gateway as separate logical DBs (authdb, purchasedb, an inference engine_aces). Phases 0-5: SQLAlchemy + Alembic multi-DB foundation, JWT signing + JWKS, feature fla...80.0h75m8m64.0x600.0x
2Full implementation pass: delete redundant worker code (an authentication service workers/, a recruiter product Celery workers); build masterskills (188 rows) + mastercerts (101 industry + 10 recruiter product = 111 rows) with real seed from a content specification system/certifications and curated taxonomy...60.0h90m6m40.0x600.0x
3Implement 7-day free-trial epic: a purchase service comp endpoints + auto-revoke, an authentication service signup hook + trial-started email, a notification service templates, EventBridge Lambda for T-1d + T0 sweep, a web client trial badge, marketing copy on a marketing site + auth signup page24.0h65m6m22.1x240.0x
4Full patent and diagram audits across 7 follow-on filing working drafts (working drafts): Phase 0 deterministic edge classifier (0 findings), Phases 1-7 of full-patent-audit.md, and 7 per-app diagram agents per full-diagram-audit.md. Identified 2 new regressions (a follow-on FIG 2 CFU->REC dotted-forward, a f...6.0h18m1m20.0x360.0x
5Backfill 4 days of leverage posts (May 10-13) on a personal site: synced 69 missing records from cloud API to CSV, wrote sanitization pipeline (regex-based) and generated 4 markdown posts with intro/task-table/aggregates/analysis structure covering 73 total tasks across the 4 days, scrubbed all proprietary re...7.0h22m4m19.1x105.0x
6Merge Anthropic email content into How I Built a study product launch story essay (3200 words, 11 sections): added By the Numbers leverage table, Built with Claude observations section, a metrics tracker + The Deferral side quests, Accessibility section, and rewrote Giving Back to correctly distinguish free K...5.0h18m6m16.7x50.0x
7Bring full an inference engine local stack up (11 services) and fix unauth /entitlements/me + /auth/refresh 401 cascade on public dashboard3.0h22m4m8.2x45.0x
8Content audit run; identified next 10 priority domains; SOA-C02 pairid linkage repair (12.2% -> 100%); diagnosed cross-domain prereq validator bug; built and launched audit-batch (5 re-syntheses + 4 question regens) with an inference engineSKIPCROSSDOMAINPREREQCHECK env var4.0h55m4m4.4x60.0x

Aggregate Statistics

MetricValue
Total tasks8
Total human-equivalent hours189.0
Total Claude minutes365
Total supervisory minutes39
Total tokens2,131,000
Weighted average leverage factor31.1x
Weighted average supervisory leverage factor290.8x
Human-equivalent weeks4.7

Analysis

The day's leverage distribution matters more than the headline figure. The 64.0x ceiling came from Merge an authentication service + a purchase service + an onboarding service + an inference engine-a recruiter product-web backend into an API gateway as separa...; the 4.4x floor was Content audit run; identified next 10 priority domains; SOA-C02 pair_id linkage repair (12.2% -> 100%); diagnosed cross-domain prereq validator bug; built and 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 (290.8x 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 8 tasks, the day produced roughly 4.7 weeks of senior-engineer-equivalent throughput in 6.1 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.