30 tasks. April 24, 2026 closed at 76.4x weighted leverage across 1,513.0 human-equivalent hours in 1,188 minutes of wall-clock time. Supervisory leverage came in at 986.7x.
That is 37.8 weeks of human-equivalent throughput in 19.8 hours. The ceiling was 240.0x; the floor was 6.4x. 22 of the 30 entries came from a single project.
Task Log
| # | Task | Human Est. | Claude | Sup. | Factor |
|---|---|---|---|---|---|
| 1 | Tier-1 console-sim Phase 10: AWS AI/ML (SageMaker Bedrock Comprehend Textract Translate Transcribe Lex AmazonQ) — 8 services tier=full | 140.0h | 35m | 3m | 240.0x |
| 2 | Tier-1 console-sim Phase 08: AWS Management & Ops (SSM Budgets CostExplorer CostManagement ComputeOptimizer SavingsPlans Backup MGN ResourceGroups Tags Billing) — 11 services tier=full | 120.0h | 35m | 3m | 205.7x |
| 3 | Console-sim Tier-1 Phase 02: promoted RDS, DynamoDB, ElastiCache, Redshift, OpenSearch, DMS to tier=full — 4 new SDKs + 2 extensions, 6 new dashboards, 40 action animators, codemod + 131 full-tier labs | 90.0h | 27m | 2m | 200.0x |
| 4 | Console-sim Tier-1 Phase 05: promote 9 AWS identity & governance services to tier=full (Cognito, Organizations, IAM Identity Center, Control Tower, RAM, STS, Service Catalog, Trusted Advisor,… | 160.0h | 50m | 1m | 192.0x |
| 5 | Tier-1 console-sim Phase 09: AWS DevOps & Analytics (CodePipeline CodeBuild CodeDeploy CodeCommit Glue Athena EMR LakeFormation DataBrew QuickSight) — 10 services tier=full | 100.0h | 33m | 3m | 181.8x |
| 6 | Console-sim Tier-1 Phase 04: promote 12 AWS security & crypto services to tier=full (KMS, Secrets Manager, ACM, WAF, Shield, Macie, Inspector, GuardDuty, Security Hub, Detective, CloudTrail, Config) — 6 new… | 220.0h | 75m | 1m | 176.0x |
| 7 | Console-sim Tier-1 Phase 03: promote 7 AWS networking services to tier=full (Route53, CloudFront, API Gateway, Transit Gateway, Direct Connect, Route 53 Resolver, Global Accelerator) — 4 new SDKs, 2 SDK… | 135.0h | 48m | 2m | 168.8x |
| 8 | console-sim Tier-1 Phase 06: promote SNS, SQS, EventBridge, StepFunctions, Kinesis, Firehose, MSK, AppSync to tier=full (4 new SDKs + 8 new dashboards + 22 animators + 53 codemod assertions across 36 labs) | 40.0h | 17m | 2m | 141.2x |
| 9 | console-sim Tier-1 Phase 07: promote ECS, EKS, ECR, Elastic Beanstalk, ELB, Auto Scaling, FSx, EFS to tier=full (6 new SDKs, 2 extended, 8 new dashboards, 30+ animators, 49 codemod assertions across 38 labs;… | 45.0h | 25m | 2m | 108.0x |
| 10 | Audit and review | 120.0h | 85m | 3m | 84.7x |
| 11 | Tier-1 Phase 01: Build Lambda + CloudWatch + CloudFormation dashboards from existing SDKs. Extended 3 SDKs with 25 new methods… | 50.0h | 40m | 3m | 75.0x |
| 12 | Behavioral analytics — Phase 0 design doc (docs/avian-architecture/Behavioral_Analytics.md) + Phase 1 observation persistence: SQLAlchemy model (StrategyObservationRow), Alembic migration 003,… | 38.0h | 35m | 4m | 65.1x |
| 13 | Testing | 32.0h | 30m | 2m | 64.0x |
| 14 | Scenario seeds: schema + Mercury-driven generator + runtime wiring + UI fixes + 205 seeds across CLF/DVA/SAP-Pro | 14.0h | 18m | 4m | 46.7x |
| 15 | Console sim: audit 2048 labs, rewire executor to drive demos from expectedActions, add propertiesContain/propertiesPresent validator matchers with fail-closed empty assertions, extend IAM SDK (MFA/access… | 40.0h | 65m | 5m | 36.9x |
| 16 | Design and frontend | 6.0h | 12m | 2m | 30.0x |
| 17 | Design and frontend | 50.0h | 110m | 6m | 27.3x |
| 18 | Documentation | 40.0h | 90m | 3m | 26.7x |
| 19 | avian-admin persistence page phases 4-7: engine endpoints /api/v1/admin/state/{learner,autopilot,ops} (row counts + MAX(updated_at) + key metrics per subsystem, across 14 Postgres tables + in-memory… | 7.0h | 18m | 2m | 23.3x |
| 20 | avian-app-web onboarding: drop button spinner, rewrite resume result msg (skills/years/certs), credit enrollments from domain_assessments, add ResumeReviewSection to Profile | 4.0h | 11m | 4m | 21.8x |
| 21 | Scenario seed assessment end-to-end: seed-driven assessment Q-1..Q-6 on engine, Sonnet 4.6 primary grader with keyword-coverage fallback, anthropic base deps, AVIAN_DATA_DIR + REDIS_URL + ANTHROPIC_API_KEY… | 25.0h | 75m | 2m | 20.0x |
| 22 | Coding | 4.0h | 20m | 3m | 12.0x |
| 23 | Audit and review | 2.0h | 10m | 3m | 12.0x |
| 24 | avian-app-web dashboard: sort enrolled courses by most recently studied; add Most Recent indicator chip to top-right of that course card | 0.8h | 4m | 1m | 11.2x |
| 25 | Cherry-pick Phase 09 (10 DevOps/Analytics services) and Phase 10 (8 AI/ML services) onto main in avian-console-sim-react, resolving all merge conflicts across 7 files per phase | 4.0h | 22m | 5m | 10.9x |
| 26 | Three-phase adaptation fix: (1) engine select_next_pair goal-level recency penalty + alpha 0.20→0.25 + new SessionConfig knobs, (2) client buildFallbackMix interleaves lesson+scenario launches into plan-less… | 4.0h | 24m | 3m | 10.0x |
| 27 | avian-admin: port VersionChecker UX from avian-app-web (modal + chime), write persistence-page-plan.md (7-phase tab-by-tab plan), implement Phase 0 (tab shell + route rename), Phase 1 (Manifold polish:… | 9.0h | 55m | 6m | 9.8x |
| 28 | Debugging | 2.5h | 22m | 5m | 6.8x |
| 29 | Cross-domain projection Phase 4+5: drift snapshot test, blend_lift telemetry, admin Portfolio simulator (RPC proxy + UI), shipped to prod across engine + admin + docs | 10.0h | 90m | 5m | 6.7x |
| 30 | Audit and review | 0.8h | 7m | 2m | 6.4x |
Aggregate Statistics
| Metric | Value |
|---|---|
| Total tasks | 30 |
| Total human-equivalent hours | 1,513.0 |
| Total Claude minutes | 1,188 |
| Total supervisory minutes | 92 |
| Total tokens | 7,246,500 |
| Weighted average leverage factor | 76.4x |
| Weighted average supervisory leverage factor | 986.7x |
| Human-equivalent weeks | 37.8 |
Analysis
The highest factor of the day came in at 240.0x and the lowest at 6.4x, a spread of 37.3 times between the two. That is a wide range for a single day, and it usually means the day mixed mechanical work with work that needed real judgement.
The largest single entry accounted for 140.0 of the 1,513.0 human-equivalent hours, or 9 percent of the day. No single task dominated the total, so the weighted average is representative.
Supervisory time was 92 minutes against 1,188 minutes of execution, a ratio of about 1 to 13. Supervisory leverage of 986.7x is the figure I find most honest, because it measures the hours I actually spent rather than the hours a machine spent on my behalf.
Every figure here is recorded at the time the work is done rather than reconstructed afterwards. The human estimate is my own judgement and carries the uncertainty that implies; the minutes and tokens are measured. The full dataset, including this day, is available for download.