Create teaching-ready STEM lessons from the material you already have.

SciMigo turns prompts, notes, worksheets, and PDFs into structured slides, narration, captions, and shareable video lessons.

66+ generated lessons · 4 showcase courses · playback included

Start creating View showcase

Two production paths for STEM content

Draft a full lesson package or create a focused math animation clip.

Lecture Studio

Generate a reviewable lesson deck, then package it with narration, captions, transcript, and playback-ready artifacts.

Math Animation Studio beta

Create Manim-style clips for equations, proofs, graph intuition, and worked problem walkthroughs.

Start from real teaching material

PromptPDFLaTeXMarkdownImage/screenshot

From raw material to publishable lesson

A production workflow designed for review, reuse, and classroom distribution.

Brief the lesson

Start with a topic, outline, worksheet, PDF, LaTeX source, or problem photo.

Set the format

Choose the teaching mode, runtime, language, and deliverable before generation starts.

Review the output

Inspect the deck first, then add narration, captions, and video when it is ready.

Share or export

Publish a link, embed the lesson, or reuse the artifacts in class and LMS workflows.

Proof from the production pipeline

Real generated courses, not mockups. Open the showcase to inspect the deck viewer, lesson structure, and AI tutor experience.

Structure and Interpretation of Computer Programs

This is demanding material—and that's why it works. Master the fundamental ideas of computation that shaped generations of programmers.

9 of 9 modules availableHigher-Order Functions

Linear Algebra for AI

Master the language of AI: vectors, matrices, transformations, and eigenvalues -- with Python code to ground every concept. From NumPy basics to LoRA fine-tuning and mechanistic interpretability.

16 of 16 modules availableVectors: The Language of Data

Meta System Design Interview

What Meta actually tests, how it evaluates, and how to think at Staff level. 27 episodes covering distributed systems fundamentals, 13 real Meta-style design problems, and capstone mock interviews.

27 of 27 modules availableHow Meta System Design Interviews Work

ML & AI System Design for Staff Engineers

14 episodes covering ML infrastructure, AI-era systems, and Staff-level architectural thinking — feature stores, model serving, training platforms, vector search, LLM serving, RAG, and AI gateway design.

14 of 14 modules availableML System Design Interviews

Built for teams that produce teaching content

Teachers

Turn lessons and worksheets into reusable classroom assets without rebuilding slides from scratch.

Tutors and creators

Produce consistent explanations, worked examples, and video-ready lesson drafts at a faster cadence.

Training teams

Create branded technical modules for onboarding, enablement, and internal learning programs.

Private beta with credit-based generation

Lesson generation has real rendering and narration costs. Early users help tune credits, queues, and export limits before public pricing launches.

Turn one lesson brief into a polished teaching asset.

Explore the showcase, then join the beta to shape the authoring workflow.

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