What problem does it solve? Creating educational math and technical animations requires coordinating narrative planning, Manim Python code, rendering, video stitching, and audio — a pipeline that is error-prone and slow without structured guidance. ## Core Features & Use Cases - Full production pipeline: Plan, code, render, stitch, and add voiceover for animated explainer videos using Manim CE, LaTeX, and ffmpeg. - Multiple video modes: Concept explainers, equation derivations, algorithm visualizations, data stories, architecture diagrams, paper explainers, and 3D visualizations. - Design system guidance: Color palettes, typography scales, animation timing tables, opacity layering, and production-quality checklists for cohesive output. - Use Case: Ask for an animated proof of the Pythagorean theorem and receive a planned scene breakdown, renderable Manim script, and stitched final video. ## Quick Start Create a Manim animation video explaining how gradient descent works, with a planned narrative arc and rendered scenes.