Industrial Research Lab
A home for ideas at the boundaries of fields. We draw on insights from often-unrelated domains—physics, biology, economics, history—to find the patterns and hidden connections that explain how complex systems really work.
We look past surface narratives to the mechanics underneath: bottlenecks, constraints, and what actually determines what's possible. Then we build toward it—from synthetic life to systems that maintain themselves.
Essays that start with a sharp question and follow it across fields—mechanics, constraints, and the patterns that simple stories miss.
Audit Readiness Tracker
A guided workbook for scoping, gap assessment, and control tracking on the path to a SOC 2 Type II audit. First-time friendly with step-by-step progress.
The Time Machine
Hacker News across time. AI-generated stories, comments, and users from ancient Alexandria to the year 2077. Slip the timeline and browse what HN would have looked like in any era.
The Generative Pipeline
A protocol for structured creativity. Moving beyond simple prompting to multi-agent chains that reason about brand strategy, naming, and visual geometry.
The Memory Layer
Save everything, sort nothing. A calm, local-first context heap that uses background intelligence to cluster information only when needed. The memory bank for the AI era.
The Agent Runtime
An exploration in agency. We are building a runtime where an LLM acts as the CPU, managing its own context heap and tool stack to execute vague intent into precise action.
"If you see no progress, search to find friends. If you see a train moving quickly, think about what it could now help solve that is old."
We use the momentum of AI (the fast train) to solve problems in Biology and Physics (the old problems) that were previously stuck.
When something seems impossible, we are often blind to which constraint is limiting us. Is it Physics? Or just Economics? Legal? Moral?
"Yesterday's impossibility frequently becomes the reality we live today. The universe of possibility is much bigger than one defaults to believing."
"All you see is what is, but not what it could have been or what it could be."