Colophon and accessibility
Accessibility
This site aims for WCAG 2.2 AA, and the reason is personal.
My dyslexia, diagnosed only in 2017 after years of teaching others, taught me the same lesson from the inside: education fails when it cannot adapt to the learner.
So the site is built the way I wish more reading material were: a high-legibility typeface, a comfortable line length of roughly 66 characters, strong colour contrast, visible focus states, full keyboard navigation, and respect for reduced-motion preferences. If anything here is hard for you to use, tell me and I will fix it.
How it is built
The site is static, fast and content-first: built with Astro, with the long-form copy stored as Markdown files, hosted on Cloudflare Pages.
Traffic is measured with Plausible Analytics. The point is to learn which public pages are useful, not who is reading them. Plausible records aggregate patterns such as page views, referring sites, approximate location, and browser and device type. It sets no cookies, creates no persistent identifiers, stores no raw IP addresses, and does not follow people across sites or devices. Visitor data is processed and stored in the EU; Plausible’s data policy explains the detail.
Built to be read by machines too
My doctorate found that we now live in a referrer society: people check, compare, and increasingly ask an AI. So this site treats language models as a third audience alongside readers and search engines, an idea from my own work supervising academic study on Generative Engine Optimisation.
In practice: every page carries schema.org structured data describing one consistent entity; the content is written in clean, answer-shaped HTML; robots.txt deliberately welcomes reputable AI crawlers rather than blocking them; and an experimental llms.txt file offers models a canonical summary. That last standard is young and adoption is uncertain, which is exactly why trying it is cheap.
And the measurement is public. Field Test 001, the pre-launch baseline publishes the transcripts of what AI models said about me before this site went live, verbatim, as a citable dataset: the before measurement the site is built to move.