A living knowledge graph
Every concept you touch becomes a node. Connected, and lit up as you master it.
Pick or create trails, and GraphMind guides you, tests genuine understanding with adaptive practice, and generates live knowledge maps you can publish to showcase expertise. Publish or share it for knowledge transfer.
Every concept you touch becomes a node. Connected, and lit up as you master it.
It tracks what you actually know per concept and adapts the next question to you.
Long before we'd heard anyone put it into words, we kept hitting the same wall: you can't just tell an AI “teach me physics” and expect to learn. It wanders, loses the thread, and never checks whether anything actually landed. So we built a harness to keep it on the trail. Only later did we find Andrej Karpathy describing the very same problem, and pointing at the very same kind of answer.
A large amount of thought for me goes into how we keep AI on the leash. It doesn't just work to go to a chat and say, “Hey, teach me physics” — the AI gets lost in the woods.
A trail is the backbone of a topic you want to understand. It captures the core of the subject as a hierarchy of connected nodes, giving you a clear path from where you are to real understanding.
GraphMind's harness visits each node along the way. It checks whether you can actually demonstrate that you understand it, and teaches you when you don't. This keeps the AI on the trail instead of letting it get lost in the woods.
And it's not just AI saying, “I think you know this.” Our algorithms continuously track your mastery of each concept, so your progress is based on what you can actually demonstrate.