Notes on AI systems: agents, memory, and retrieval.
I’m a developer advocate at Redis, writing from just outside Glasgow. Mostly what I’m learning building with agents and retrieval. Less often, what I’m working out about work, family, and a life I’d be proud of.
Latest Notes
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Could agents learn to work better from their own runs?
Most research on agent memory focuses on remembering the user. I built a browser agent that learned from its own runs, and the lessons that transferred surprised me.
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Context engineering needs a context engine
Stronger models help, but agent reliability may depend just as much on better context systems around them.
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Borrowed confidence is fragile in agentic systems
Production-like evals revealed the retrieval architecture I actually needed and reminded me that confidence in agentic systems has to be earned, not borrowed.
What I write about
- AI systems agents, memory, retrieval, and what breaks after the demo.
- Life and work the pattern we’re handed, and what it takes to build a life I’d be proud of.
Learning Out Loud
New notes when I publish. No schedule, no filler.