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AI17 March 2026

Coding and documentation

42 tasks. March 17, 2026 closed at 79.8x weighted leverage across 1,039.0 human-equivalent hours in 781 minutes of wall-clock time. Supervisory leverage came in at 352.2x.

That is 26.0 weeks of human-equivalent throughput in 13.0 hours. The ceiling was 205.7x; the floor was 12.0x. 25 of the 42 entries came from a single project.

Task Log

#TaskHuman Est.ClaudeSup.Factor
1avian-admin command center implementation - 109 files/12951 LOC/10 dashboards/8 charts/13 UI components/stores/WS/sound/router120.0h35m5m205.7x
2Novel structural friction + prose polish: Hinkle wrong turn + Sloane costly concealment + MIDAS compromise + intensifier reduction + preface packaging80.0h30m5m160.0x
3Novel 5-pass revision: structural cuts + character deepening + ending compression + prose polish + preface rewrite (80k→72k words across 24 chapters)120.0h45m5m160.0x
4Generate 96 lab JSON definitions across 15 domains for avian-console-sim120.0h45m5m160.0x
5Write 9 certification domain spec JSON files (Databricks/CNCF/GitHub/Tableau/Microsoft) with 476 leaf goals40.0h18m5m133.3x
6notification-service - new FastAPI service from scratch - 56 files/5899 LOC/7 DB tables/20 templates/full API+docs+tests+migrations80.0h40m10m120.0x
7Novel second revision pass: Ch16/17/19/22/23/27/28/31 cuts + voice + Finn agency + Cillian calibration (72k→69k)40.0h20m3m120.0x
8Write 8 Free-tier domain specs (React/Node/Django-Flask/PHP/DevOps/SysDesign/DSA/GraphQL)24.0h12m5m120.0x
9Complete screenplay adaptation of The Deferral novel - 6-episode limited series with cast recommendations80.0h45m10m106.7x
10Novel finishing pass: voice separation + Cillian calibration + connective tissue + last trims20.0h12m2m100.0x
11Write 9 certification domain spec JSON files (ITIL/CKA/CKAD/RHCSA/Terraform/Vault/Consul/Snowflake/TOGAF)40.0h25m5m96.0x
12Novel final balancing pass: cut explanations + restore emotional bridges across 9 chapters (69k→68k)24.0h15m2m96.0x
13avian-admin detailed design document - 2634-line technical spec covering routing/state/WS/charts/notifications/sound/15 sections/91 new files40.0h25m5m96.0x
14Build OIDC Provider backend in auth-service (models + service + router + migration + seed)16.0h12m5m80.0x
15Add goalIds field to 1053 lab JSON definition files mapping examDomains to domain spec goal taxonomies16.0h12m3m80.0x
16Write 7 IaC domain specification JSONs (Terraform/Pulumi/CloudFormation) with 361 leaf goals16.0h12m3m80.0x
17Complete ecosystem inventory — catalogued 38 repos with LOC breakdowns across all languages and categories plus content metrics16.0h20m3m48.0x
18Create @avian/auth-client OIDC library (8 files full implementation)6.0h8m5m45.0x
19Create 4 fictional company website specs for The Deferral novel12.0h18m5m40.0x
20Write complete chapter synopsis for 33-chapter novel The Deferral8.0h12m3m40.0x
21Integrate OIDC auth into avian-app-electron (custom protocol + safeStorage + auth gate)12.0h18m5m40.0x
22Convert avian-console-sim-react from static JSON imports to dynamic loading8.0h12m3m40.0x
23Integrate OIDC auth into avian-app-ios (ASWebAuthenticationSession + PKCE + Keychain + LoginView)10.0h18m5m33.3x
24Create 11 dashboard files for avian-app-electron adapted from web equivalents3.0h6m3m30.0x
25Update auth-service OAuth flow and notification-service integration6.0h12m5m30.0x
26Integrate @avian/auth-client OIDC into avian-app-web replacing demo auth4.0h8m3m30.0x
27Add 4 REST API endpoints (study plan / activity credit / micro challenge / cross-domain transfer) with Pydantic models8.0h18m5m26.7x
28Convert 16 Pulumi lab JSON files from TypeScript to Python2.0h5m3m24.0x
29Update business plan and marketing plan for product line restructure (5→8 products)3.0h8m5m22.5x
30Terminology cleanup + daily rings + dashboard redesign across avian-app clients16.0h45m5m21.3x
31Rewrite electron Dashboard as orchestrator with 7+ sub-components mirroring web6.0h18m3m20.0x
32Sync dashboard redesign + daily rings + readiness-[scoring model] from web to electron6.0h18m3m20.0x
33Reduce precise/precision word overuse across 35-chapter novel from 67 to 15 instances with varied contextual replacements4.0h12m3m20.0x
34Retrofit 8 screens with HeroBanner component in avian-app-web6.0h18m3m20.0x
35Update business planning docs for 8-product-line restructure with tiered pricing and revised revenue projections4.0h12m3m20.0x
36Update 4 business docs for 5-product consumer restructure (tiered pricing)4.0h12m3m20.0x
37Eliminate repetitive someone-who prose patterns across 13 novel chapters (29 instances)3.0h12m5m15.0x
38Prose polish pass: intensifier reduction and post-image explanation cuts across novel manuscript2.0h8m3m15.0x
39Update 3 pitch decks with 5-tier consumer product restructure and revenue recalculations3.0h12m5m15.0x
40Chapter synopsis document for The Deferral (33 chapters read and summarized)6.0h25m5m14.4x
41Dashboard three-section redesign (readiness+study plan+activities grid)4.0h18m3m13.3x
42Rename Elysium Dynamics to Elysium Atelier across entire novel repository (12 files)1.0h5m2m12.0x

Aggregate Statistics

MetricValue
Total tasks42
Total human-equivalent hours1,039.0
Total Claude minutes781
Total supervisory minutes177
Total tokens5,517,500
Weighted average leverage factor79.8x
Weighted average supervisory leverage factor352.2x
Human-equivalent weeks26.0

Analysis

The highest factor of the day came in at 205.7x and the lowest at 12.0x, a spread of 17.1 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 120.0 of the 1,039.0 human-equivalent hours, or 12 percent of the day. No single task dominated the total, so the weighted average is representative.

Supervisory time was 177 minutes against 781 minutes of execution, a ratio of about 1 to 4. Supervisory leverage of 352.2x 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.