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Arpeggio
An applied engineering lab for energy, shelter, and autonomy.
Arpeggio exists to work on the hard problems — helping professionals stabilize their dependencies and reduce volatility.
In control theory terms: reducing afferent coupling and instability.
Updates & Announcements
Latest outputs and field notes
Boat Buying: A Practical Guide for Knowledge Workers
2025-12-30
Tool
Most boating content sells the fantasy. This document focuses on the decisions that lock people into bad outcomes. If you’re considering living aboard while continuing to do knowledge work — not switching careers to full-time maintenance — this guide helps you avoid the two mistakes that cost the most money and time.
Moonshot: Designing a Pareto-Optimal Solar-Electric System
2026-01-02
Blog

Moonshot is not an attempt to maximize any single metric. It is an attempt to reduce fragility. The system is shaped by a few constraints that aren’t obvious if you come from either traditional marine design or consumer solar kits.

**1. Battery risk…

Tech employment is losing relevance
2025-12-30
Blog

Tech employment has been bleeding for long enough that it no longer feels like a crisis. It feels like background conditions.

Layoffs recur. Reorgs stack. Compensation bands flatten. Expectations rise while guarantees quietly disappear. After a while,…

When AI Reads Comics: A Panel-by-Panel Comparison Between Gemini, Claude, and ChatGPT
2025-12-29
Blog

…and Why I’m Still Using ChatGPT for Creative Work (For Now)

By Alwyn Art-C Chronicles


Introduction: Letting Three AIs Read One Comic

Comics are an interesting Rorschach test. Give a page to ten people and you’ll get twelve…

AI Doesn’t Need to Be Smart to Wreck Tech Careers
2025-12-29
Blog

I still see posts claiming “AI won’t replace developers, it makes dumb mistakes.” Yes, it does. Think of the infamous Taco Bell ordering bot that spat out 18,000 drinks. MIT research also shows that AI often fails to boost senior developers’…