About TrainRun

What is TrainRun?

TrainRun is an educational platform that turns any YouTube video, podcast, or transcript into an interactive learning experience. Collect words, prove your understanding with AI-generated retrieval quizzes, and retain what you learn — through active recall, not passive watching.

TrainRun works by extracting vocabulary and concepts from your content, then placing them as collectible pickups along a scrolling game track. As the original media plays alongside the game, you navigate a runner to collect words - turning passive watching into active engagement. Each collection is a micro-retrieval that strengthens memory through the scientifically proven testing effect.

After each section, AI-generated retrieval quizzes test your understanding of the concepts you just encountered - not trivia, but the kind of questions that build durable knowledge. Every answer includes immediate explanatory feedback, turning each question into a learning moment.

The Problem We Solve

The average person spends hours each day consuming digital content - videos, articles, podcasts - yet retains a fraction of what they encounter. Traditional study methods like re-reading and highlighting create a “fluency illusion” where the material feels familiar but hasn't actually been learned. Meanwhile, attention spans are shrinking as content competes for engagement through increasingly passive formats.

TrainRun bridges this gap by transforming the content you already consume into structured learning sessions. Instead of choosing between entertainment and education, you get both - the content plays as normal while the game and retrieval quizzes ensure you actively engage with the key concepts.

Our Approach

TrainRun is built on evidence-based learning principles from cognitive science:

• Active Recall - Collecting words and answering retrieval questions forces your brain to reconstruct information from memory, building stronger neural pathways than passive review.
• Retrieval Practice - AI-generated quizzes after each section test understanding through application-level questions, not memorization. Immediate explanatory feedback turns every answer into a learning moment.
• Contextual Learning - Words and questions appear alongside the original media, preserving the context in which concepts are taught.
• Confidence Calibration - Self-rated confidence before each answer reveals fragile knowledge and hidden misconceptions - the most valuable signals for lasting learning.
• Spaced Repetition - Replaying levels and encountering concepts across different content sessions optimizes long-term retention.

How It Works

Paste a YouTube URL, enter a topic, or provide a transcript. TrainRun's AI pipeline extracts word-level timing, performs semantic analysis to identify key vocabulary, groups related concepts into thematic chains, generates targeted retrieval questions, and compiles everything into a game map synchronized to the source material. The entire process takes seconds.

Once the level is built, you play through it like a runner game - collecting words as they appear on the track. After each section, a short retrieval quiz reinforces what you just learned. At the end, a final test brings concepts together with integration questions that test connections across the full content.

Read the full guide →

Our Mission

We believe learning should feel like play. TrainRun was built to combat the growing attention crisis by making educational content engaging and interactive. Every run is a micro-learning session - a few minutes of focused engagement that builds real retention. The runner gets your attention; the quizzes create durable learning. Our goal is to make active recall as accessible and effortless as pressing play on a video.

AI Transparency

TrainRun uses AI to generate learning materials, quizzes, and summaries. We believe in being upfront about how AI is used and what its limitations are. Read our AI Transparency page →

Contact

Questions, feedback, or support requests: admin@trainrun.io