You don't need your PC terminal to get the best from AI
Everyone keeps talking about having to learn Claude Code, but that won't be the way most people interact with AI in the future
Writing about AI agents, engineering, product ideas, and lessons learned building tech products. From practical implementation guides to big-picture thinking.
Recommended reading.
Everyone keeps talking about having to learn Claude Code, but that won't be the way most people interact with AI in the future
How we can learn from coding agents when building AI systems for other parts of businesses.
12 articles.
How humans and agents should work together to create the most valuable and trustworthy outputs.
Why cramming too much information into a prompt for an AI agent will give you worse results.
The 6 types of context for AI Agents in more detail and how to actually capture and make them usable
'Give it more context' has become one of those pieces of advice that sounds helpful but doesn't actually tell you anything useful or practical - here's what you should actually do.
Why agentic automation is gaining ground: flexibility (update briefs, not code), compounding gains from better models, and systems that learn from feedback instead of fixed rules.
There are different types of automations, and the approach matters more than most people realise.
Most teams use AI; few get impact. Lessons from two years building agents on what actually works: connect real context, design agentic flows, and keep humans in the loop.
There are two universal truths agencies (and everyone else) have to accept in order to survive: Everything that can be automated should be, but not everything can be automated
Chat was how GenAI went mainstream. Here’s what it’s good at, where it breaks, and why it’ll stick around until we invent better interfaces.
Procurement, data, models and margins: why Google is positioned to ‘win’ AI in advertising as the model other builders use.
LLMs are not as good as some say, but not as bad as others do. They’re inconsistent, by design.
How building memory into AI Agents makes them smarter, more consistent and more reliable.
I love talking about AI, building products, and solving interesting problems. Reach out if any of these topics resonate.