An interactive visualization demonstrates a predictive text model learning from a user's binary choices. As the user presses the left or right arrow key, the system builds n-gram sequences from the history of prior inputs to predict the next likely key. A large SVG tree diagram visualizes the conditional probabilities of each possible four-bit sequence, showing which sequences are active and frequently occurring. A sticky score panel displays the model's rolling accuracy over the last 100 predictions, while the log shows a running history of actual versus guessed inputs. The implementation uses D3.js selection, event handling, and SVG rendering.