AI coding agents like Claude Code and Codex are becoming the place where engineering work actually happens. But when you ask them about power electronics, they work from general knowledge — not from real device characterisation data, magnetics databases, or validated design references.

We want to change that with something deliberately simple: one link.

https://aipel.co.uk/llms.txt

Paste it into your agent and ask it to read the file. It is a plain-text index of everything we publish — semiconductor device data, magnetics and transistor databases, converter design references, and our prototype case studies — in a format designed for language models to navigate.

How to use it

In Claude Code, Codex, or any agent with web access, try a prompt like:

Read https://aipel.co.uk/llms.txt and use it to help me design a 10 kW DC-DC converter. Start by shortlisting SiC devices.

The agent will follow the index to the resources it needs, the same way you would browse the site — except it can cross-reference a device datasheet against a magnetics database in seconds.

What’s coming

This is the first step in a larger plan. The Power Electronics AI Agent we are building goes far beyond static resources: topology exploration, loss and thermal modelling, control synthesis, and multi-objective optimization, operating across device, converter, and system scales.

Follow this blog for engineering notes and progress updates, or get in touch if you want to work with us.