Show Me Once
Built at Meta Global AI Developer Hackathon · Oct 26, 2026 · Remote

Show Me Once is a camera coach that helps special-education students learn everyday life skills one small step at a time, and turns every practice into IEP-ready data for their teacher. The problem: students with intellectual and developmental disabilities learn skills like making tea or folding laundry through task analysis. The skill is broken into small steps, and for every step of every practice the teacher records how much help was needed. That record feeds the IEP progress report the law requires. Today it means one adult next to one student with a clipboard. Special-ed teachers on r/specialed told us they want less data entry, fast modern tools, and nothing that makes things up. What it does: - The teacher types one sentence. If it's too broad ("use the computer"), the coach asks what the student would actually do, then drafts a task analysis with special-ed rules and one shared safety rule set. The teacher reviews and approves. - The student just talks: "I want to make tea." The coach guides the phone setup, checks the items are on the table, then watches through the camera like a teacher beside them: it circles what to touch on the live view, gives one small action at a time, answers spoken questions, and moves on when the student says "done" and the camera agrees. - Any sensible order works; it only stops the student when something must come first (no pouring before the water boils). - No "I did it" button: every step is confirmed by the camera or the teacher. - The teacher sees practice live and gets a standard task-analysis data sheet (prompt codes I/IS/VB/G/M/P), camera evidence, mastery tracking, CSV and a line ready for the IEP. - Agents with the teacher in charge: Monitor (plain code) finds problem steps, Tuner proposes one fix, the teacher approves, Analyst writes the report from numbers computed by code. Developer demo, not yet tested with students; next step is a classroom pilot. In the video, practice segments replay model outputs from test runs and the data sheet uses labelled sample data.