/ Insights
Ideas from building.
Notes on AI, architecture, software engineering, vertical technology, and what changes when intelligent systems begin doing work — not merely assisting people who do it.
From Building Software to Running Businesses: OpenClaw and the Three Layers of Automation
Software engineering, AI vibe coding, and AI assistants are not competing tools — they are three layers of abstraction for automating work, and the best companies will use all three.
AI Readiness Evaluation Checklist for Chemical Operations
A step-by-step framework to evaluate strategic alignment, data maturity, talent, and culture — designed for the chemical, ingredient, and polymer industry.
What AI Readiness Really Means for the Chemical Industry
Everyone's talking about AI. Fewer people are talking about what has to be true before it works — and in chemicals, that readiness is harder and more necessary than most realize.
When code becomes cheap, judgment becomes expensive
AI made building software cheaper. It made engineering judgment more valuable.
Why pilots work and production systems fail
The demo is not the hard part. Production AI is a systems problem.
Why RAG is not a substitute for information architecture
Retrieval quality is decided long before the embedding model sees your documents.
What are you trying to make real?
If you’re making an important decision about AI, technology, architecture, or engineering — or trying to move an ambitious idea into production — I’d be interested in hearing about it.
Discuss an AI initiative