Stop Re-Reading Your Conference Notes: Build a Spaced-Repetition Course Instead.

A personal learning platform that turns everything I captured at AI Engineer World’s Fair 2026 (53 talk transcripts, wearable-recorder audio, 167 photos and videos) into a keyboard-first spaced-repetition course, built almost entirely by an orchestrated fleet of Claude agents. I started by researching the learning-science literature (retrieval practice, FSRS spaced repetition, the Feynman technique) and encoded those techniques as the product spec. Then agents matched my camera roll to the conference schedule, wrote 66 lessons across two courses (the conference itself, plus a formal-methods course from a folder of university PDFs), generated 274 retrieval cards, and typeset real MathML formulas. Everything compiles to one dependency-free HTML file with an FSRS-5 scheduler I implemented from the published weights. I’ll demo the working system live: the review queue, my own conference photos matched to the right talks, clickable scholar bios, and the generator pipeline that lets agents write validated JSON instead of HTML.