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AI JUN 08, 2026

Leverage Record: June 8, 2026

Eleven tasks. June 8, 2026 weighted to 37.1x leverage across 510.0 human-equivalent hours in 824 Claude-minutes. Supervisory leverage closed at 695.5x.

Eleven tasks. June 8, 2026 weighted to 37.1x leverage across 510.0 human-equivalent hours in 824 Claude-minutes. Supervisory leverage closed at 695.5x.

12.8 weeks of human-equivalent throughput in 13.7 hours of Claude wall-clock. The 120.0x ceiling came from Travel-planning-app phases 2-9 backend build (itinerary reservations realtime expenses journal templates search fleet-integration email-import MCP) 150 tests 96pct + 2 adversarial...; the 6.9x floor sat at Finish readiness audit: pushed 25 fix commits, verified 8 CI/CD pipelines, diagnosed+fixed a prod-pipeline ERESOLVE regression (console-sim eslint ^10->^9.20.0), root-caused 2 pre-....

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
1Travel-planning-app phases 2-9 backend build (itinerary reservations realtime expenses journal templates search fleet-integration email-import MCP) 150 tests 96pct + 2 adversarial reviews + 14-finding hardening140.0h70m2m120.0x4200.0x
2Travel-planning app; four planning docs (requirements design plan testing-strategy) for a trip planner with fleet integrations20.0h14m4m85.7x300.0x
3Full deployment-readiness audit (a monorepo, 40 changed repos): Phase-0 canonical reconciliation (patent specification), schema-validated 973 specs (44 invalid found), ~16110 tests run 0 failures, 93-finding report, safe+ESLint fixes across 24 repos committed locally (no push), 40 audit timestamps recorded, diagnosed unhealthy local Postgres as API-gateway test-error cause90.0h65m4m83.1x1350.0x
4Email-platform remediation plan: cluster 116 audit findings into 20 root-cause work packages, dependency-ordered phased roadmap w/ code-grounded steps (20-architect workflow)16.0h18m2m53.3x480.0x
5Audit an email platform: 4 design docs vs code+tests gap analysis + full code review/bug hunt (16-domain multi-agent, adversarially verified)32.0h42m3m45.7x640.0x
6Travel-planning-app Phase 1 build; ports + defect-tracker board + private repo + FastAPI/React scaffold (trips/members/settings auth 49 tests 97pct cov) + adversarial review + 17-finding hardening32.0h45m3m42.7x640.0x
7Execute email-platform remediation: P0 foundation (CI honesty + Alembic) + P1 criticals (IDOR/CSRF, NullPool workers, AI budget enforcement, webhook auth, send-pipeline); 8 commits, +18 tests, suite green32.0h70m1m27.4x1920.0x
8Continue email-platform remediation: complete P1 (search, Valkey WS bridge) + P2 sweep (block-at-sync, quiet-hours TZ, batch-snooze, ReDoS, hot-cache bound, N+1); 7 commits, suite 946 green18.0h50m1m21.6x1080.0x
9Resumed multi-day content remediation: built+debugged a wall-clock watchdog for third-party-model socket-stall wedges (fixed zombie-thread cascade); fixed private-scope leak + reverted contamination; diagnosed+fixed casefold and strip over-normalization data-corruption bugs in dup-detection (fixer + audit) with backup-restore; LIVE dup-options 1727->0; backfilled all 206 LIVE packages to full content incl. one pathological package; built distractor-explanation generator + backfilled 10293 explanations across 4 packages120.0h380m14m18.9x514.3x
10AWS cost-spike forensics + prod tools-box disk-full incident recovery (EBS volume rescue)6.0h35m9m10.3x40.0x
11Finish readiness audit: pushed 25 fix commits, verified 8 CI/CD pipelines, diagnosed+fixed a prod-pipeline ERESOLVE regression (console-sim eslint ^10->^9.20.0), root-caused 2 pre-existing red pipelines (a CMS EC2 deploy, an API gateway ruff on concurrent commit) as not-from-this-audit4.0h35m1m6.9x240.0x

Aggregate Statistics

MetricValue
Total tasks11
Total human-equivalent hours510.0
Total Claude minutes824
Total supervisory minutes44
Total tokens23,705,000
Weighted average leverage factor37.1x
Weighted average supervisory leverage factor695.5x
Human-equivalent weeks12.8

Analysis

The day's leverage distribution matters more than the headline figure. The 120.0x ceiling came from Travel-planning-app phases 2-9 backend build (itinerary reservations realtime expenses journal templates search fleet-integration email-import MCP) 150 tests 96...; the 6.9x floor was Finish readiness audit: pushed 25 fix commits, verified 8 CI/CD pipelines, diagnosed+fixed a prod-pipeline ERESOLVE regression (console-sim eslint ^10->^9.20.0).... 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 (695.5x 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 11 tasks, the day produced roughly 12.8 weeks of senior-engineer-equivalent throughput in 13.7 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.