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AI20 June 2026

Coding and design and frontend

18 tasks. June 20, 2026 closed at 36.9x weighted leverage across 481.0 human-equivalent hours in 782 minutes of wall-clock time. Supervisory leverage came in at 390.0x.

That is 12.0 weeks of human-equivalent throughput in 13.0 hours. The ceiling was 90.0x; the floor was 5.6x. 7 of the 18 entries came from a single project.

Task Log

#TaskHuman Est.ClaudeSup.Factor
1Content production60.0h40m2m90.0x
2Testing100.0h75m3m80.0x
3Design and frontend100.0h78m4m76.9x
4Coding35.0h32m2m65.6x
5Design and frontend40.0h42m3m57.1x
6Design and frontend35.0h40m3m52.5x
7Documentation10.0h14m4m42.9x
8Design and frontend9.0h13m5m41.5x
9Coding12.0h18m1m40.0x
10Run full AVIAN content audit: 27-phase content-audit.py + audit_specs.py + canonical validation across 973 specs/289 packages/2196 labs; wrote timestamped report4.0h6m2m40.0x
11Leverage reconciliation + backfill for charlessieg.com: synced one month of metrics-tracker records bidirectionally (CSV<->cloud, 13 deltas resolved, 0 dups), then generated 17 sanitized daily leverage blog…16.0h40m3m24.0x
12Researched the CloudFront WebSockets-over-VPC-origins launch + AWS docs (announcement, WebSocket handshake behavior, VPC origins internals, real-world gotchas) and wrote a ~3700-word architecture deep-dive…10.0h28m2m21.4x
13Infrastructure7.0h25m1m16.8x
14Coding8.0h40m4m12.0x
15Debugging7.0h38m6m11.1x
16[engine subsystem] validation of [model] pairs ([model] [engine subsystem]): verified working, built validate+prune+regenerate pipeline, ran loop to convergence (weak rate 10.5%->1.9% across 14,384 pairs/59…8.0h45m6m10.7x
17Novel 2 background analysis and continuity review — 11 files read full plot/dependency/risk/dates report4.0h38m8m6.3x
18Audit and review16.0h170m15m5.6x

Aggregate Statistics

MetricValue
Total tasks18
Total human-equivalent hours481.0
Total Claude minutes782
Total supervisory minutes74
Total tokens9,395,000
Weighted average leverage factor36.9x
Weighted average supervisory leverage factor390.0x
Human-equivalent weeks12.0

Analysis

The highest factor of the day came in at 90.0x and the lowest at 5.6x, a spread of 15.9 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 60.0 of the 481.0 human-equivalent hours, or 12 percent of the day. No single task dominated the total, so the weighted average is representative.

Supervisory time was 74 minutes against 782 minutes of execution, a ratio of about 1 to 11. Supervisory leverage of 390.0x 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.