I built an open-source AI that learns a teacher's voice from their lesson plans

I'm a 9th-year Social Studies teacher. Every Sunday I write lesson plans. I've been doing it for 9 years. At some point I had a folder with 246 files. Unit plans, daily lessons, worksheets, DBQ packets, sub plans. Nearly a decade of craft, structure, and pedagogical DNA sitting in a Google Drive folder nobody would ever read again. I started wondering: what if an AI could read all of that and understand how I teach? Not just what I teach, but the specific way I open a class, structure a discussion, scaffold a concept, write a do-now? So I built Claw-ED. What it does You point it at your lesson folder. It ingests everything: PDFs, DOCX, PPTX, plain text. It builds a "teaching fingerprint": your vocabulary, your structural patterns, your tone, your pedagogical approach. Then when you ask it for a lesson on WWI or the Civil Rights Movement, it generates something that actually sounds like you wrote it. Not generic AI output. Not a curriculum company's voice. Yours. Real output from one te