Testing the Chaos: Why LLM Failures Move Our Work Upstream
A student in our AI with Python cohort recently sent me an email that struck a chord.
AI Engineering
AI Doesn't Remove Work: It Moves It Upstream
"I have no special talent. I am only passionately curious." — Albert Einstein
The Engineer's Guide to Evaluating AI Vendors
The demo was flawless.
Why Most AI Projects Fail (And It's Not the Technology)
Three months into a $500K AI project, the CTO of a manufacturing company stared at a dashboard that should have been optimizing their production line.
Building a RAG System for Technical Documentation: A Practical Guide
Your company has hundreds of pages of technical documentation. Your engineers need answers fast. Traditional search returns keywords, not answers. RAG (Retrieval-Augmented Generation) changes that—turning static documents into an intelligent assistant that actually understands questions.
Here's how it works and how to build one.
From Drilling Engineer to AI Engineer: Why Domain Expertise Matters in AI
After 22 years in oil & gas drilling operations, I made the leap to AI engineering. Many people ask me why I didn't make the switch earlier—or why I bothered with AI at all when I had a successful engineering career. The answer is simple: I realized that my industrial experience wasn't something to leave behind. It was my competitive advantage.