Capstone 17 — Personal AI Tutor (Adaptive, Multimodal, with Memory)
Khanmigo (Khan Academy), Duolingo Max, Google LearnLM / Gemini for Education, Quizlet Q-Chat, and Synthesis Tutor all shipped adaptive multimodal tutoring at scale in 2026. The common shape is a Socratic policy (never just dump the answer), a learner model that updates after every interaction (Bayesian knowledge tracing style), voice + text + photo-math input, curriculum graph retrieval, spaced-repetition scheduling, and hard safety filters for age-appropriate content. The capstone is to ship a subject-specific tutor (K-12 algebra or intro Python), run a two-week efficacy study with 10 learners, and pass a content-safety audit. Phases exercised: P5 · P6 · P11 · P12 · P14 · P17 · P18 Adaptive tutoring used to be an ed-tech research niche. By 2026 it is a consumer product. Khanmigo is deployed across most US school districts. Duolingo Max hit tens of millions of MAUs. Google's LearnLM / Gemini for Education powers tutoring in Google Classroom. Quizlet Q-Chat sits alongside flashcards. Synthesis Tutor hit virality with tutor-for-curious-kids. The common elements: multimodal input (type, speak, photograph equations), Socratic pedagogy (ask first, explain later), a learner model that updates after each interaction, and strict age-appropriate safety. You will build one of these for a specific cohort. The measurement bar is an actual efficacy study: pre-test and post-test scores over two weeks with 10 learners. The voice loop…
Capstone 17 — Personal AI Tutor (Adaptive, Multimodal, with Memory): Khanmigo (Khan Academy), Duolingo Max, Google LearnLM / Gemini for Education, Quizlet…
This free lesson is part of the AI Engineering from Scratch curriculum. Read the full explanation, run the lesson code, and verify the result in the interactive reader or from the repository source.
Browse the complete course catalog or open this lesson on GitHub.