Notes from the practice
Writing on AI systems, architecture, and automation. Explore a topic, work through the trade-offs, and take something useful into your next engineering conversation.
AI Systems / 14 min read
AI systems architecture is the deliberate design of how data pipelines, AI models, APIs, automation workflows, and integrations work together as a coherent, operable system — not just a collection of AI tools bolted together.
Read the article ↗AI Systems / 6 min read
Most businesses adopting AI are buying features. A small number are building systems. The distinction matters more than the technology itself.
Read the article ↗Business Automation / 7 min read
Most automation failures are not caused by bad tools. They are caused by automating the wrong things — or automating before understanding the process.
Read the article ↗Architecture and Platforms / 8 min read
The architectural choices that slow teams down most are rarely the ones that looked risky at the time. They are the ones that looked reasonable.
Read the article ↗Architecture and Platforms / 6 min read
A surprising number of modernisation initiatives fail not because the technology was wrong but because the process being modernised was not understood well enough to improve.
Read the article ↗A good place to start
A technical challenge. A team to upskill. An idea that needs a plan.
Tell me where you are and where you want to go.