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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How LLMs Turn Text into Embeddings
A first-principles look at how GPT-style language models turn raw text into token IDs, token embeddings, and positional embeddings.
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Designing AI Agents from the Outside In
The PEAS framework offers a way to design AI agents from the outside in by defining success, environment, actions, and observations before writing code.
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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.
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.