About
About this guide
An independent reference for people who build, buy, or design with AI. It collects the reliable ways AI evaluation goes wrong, with the research behind each one.
What a “law” means here
A law here is a reliable pattern with research behind it, not a law of physics. Some have established names, like Goodhart’s Law. Others are named on this site to make a well-documented idea easier to remember, and each page says which.
Editorial policy
- Every law links to its sources. Preprints, reports, working papers, and books are labeled as such. Everything else is peer-reviewed or a classic in its field.
- Each law shows when its evidence was last checked and carries a version number and revision history.
- The Changelog records what changed and when. Corrections are made in the open.
- Role tags, plain-terms summaries, checklist questions, and claim-checker rules are editorial work built from the laws themselves. They are starting points, not authority.
Who maintains it
Maintained by Joseph Alfonso, a UX design lead. To suggest a correction or a source, use the contact page.
How to use it
Start with the guide, browse the laws, or paste a claim into the claim checker to see which laws apply. Collect any laws with the Add buttons to get a quick brief, or turn them into a printable sheet with the checklist builder.