I-am-Solo

Sketchbridge turns a hard concept into a picture analogy, checks its own drawing, and then checks that the learner actually understood. A learner asks a question by typing or by voice ("What is backpropagation?") and picks a world they know ("Restaurant"). Muse Spark proposes 3 analogies. The learner picks one, and Muse Spark writes it with an explicit mapping (e.g. "tasting the too-salty soup" = the loss function). Muse Image draws the scene, and Muse Spark looks at the drawing and redraws once if it doesn't show the mapping. Then the learning loop: • Connect the dots: Muse Spark locates every part of the analogy in the picture and walks through them in the order the concept actually works, with numbered dots, an animated path, and a one-paragraph "whole picture". • Show the next scene: close-ups of individual parts in the same art style, each linked to the scene before it. • Explain it back: the learner explains the idea in their own words (typed or spoken). Muse Spark grades each part as got / partly / missed, flags misconceptions such as taking the analogy literally, and offers a scene aimed at the biggest gap. • I don't get it: a simpler explanation and simpler picture that keep the core idea. The problem: explanations are one-way, and learners often don't know what they missed. Sketchbridge closes that loop with retrieval practice, and makes visual explanations for any concept for a few cents each (about $0.03–0.05 per illustrated concept). It's a FastAPI app with a framework-free web page, deployed on Render with GitHub Actions CI. 5 ready-made examples work with no key; other requests sit behind an access code to protect API credit