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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
Structured Delegation: Governing AI in Long-Lived Codebases
2026-03-01
Tool
A governance framework for tech leads, founders, and technical solopreneurs building long-lived systems in an AI-accelerated environment. This guide provides a structural decision model for when humans must anchor architectural work, when AI can safely draft bounded changes, and how to enforce behavioral guarantees during cross-cutting refactors. Includes the change-classification framework, refactor governance lane, validation criteria beyond green tests, and operational delegation rules designed to prevent architectural drift, token burn, and rewrite cycles.
Compilation of AI Failures — Signal vs Narrative
2026-03-27
Blog

Free article for Arpeggio / LinkedIn


Thesis

We are not seeing a tooling gap. We are seeing a structural mismatch between probabilistic generation and load‑bearing systems.

Despite heavy investment, multiple independent signals point to the…

Fibo Party Crasher
2026-03-22
Blog

I previously wrote a paper arguing that LLMs behave more like Type-3 (regular) machines than true reasoners. This challenge was, in part, a small experiment to test that claim against a familiar problem under unfamiliar constraints.

Zenodo author page:…

Why I Benched My AI Agent
2026-03-21
Blog

Foreword

Well then, this is a story about the one time I allowed my AI agent to co-write a complex library, and what I learned from the experience.

The following post is my subjective experience, and part of the reason I published independent…

2-Body Problems and the Intelligence Illusion
2026-03-18
Blog

Why Language Models Fail When Truth Is Co-Defined

Abstract

Most commentary on large language models still frames their limitations in terms of intelligence, hallucination, or benchmark performance. That framing is too coarse. The more…