Chris Boyd: AI Engineer
Production AI That Holds Up.
I build production AI systems, agentic workflows, and automation platforms for work where failure is expensive. My focus is the hard part of applied AI: architecture, permissions, guardrails, observability, and the engineering required to make autonomous software reliable.
As founder of Apptitude, I’ve spent two decades shipping production software across mobile, enterprise, and AI systems. I write about the gap between impressive demos and systems that survive real users, real data, and real consequences.
Recently
There Are Three Kinds of "Similar" in Food. Most Recipes Only Know One.
Researchers built a map of ingredients that answers three different versions of "what's similar" - and the results are weirder and more useful than any recipe site has ever managed.
What a Papal Encyclical Just Added to Your AI Governance Checklist
Pope Leo XIV's first encyclical, Magnifica Humanitas, isn't just theology - it's a portable moral framework that will land in EU AI Act commentary, customer RFPs, and bank ethics committees within a quarter. Here's how its four questions map onto the AI governance work enterprise teams are already doing.
The Model Isn't the Moat
Notes from AI//FORWARD and a leadership-development talk: why the companies winning with agentic AI aren't winning on model selection, and what they're building around it instead.
How I Evaluate an AI Tool Before I Trust It in Production
Most AI tool evaluations stop at "does it work in the demo." Here's the framework I actually use before trusting something in a production system.