What problem does it solve? Getting a correct answer is easy, but actually understanding a topic well enough to apply it is hard. This Skill turns the AI into a disciplined teacher that builds durable mental models instead of dumping answers, so learners can solve the next ten problems themselves. ## Core Features & Use Cases - Calibrated Explanations: Infers or asks about the learner's level, then matches vocabulary, depth, and sequencing to where they actually are. - Misconception Correction: Surfaces wrong mental models, shows where they break, and installs the right one instead of pasting a correct answer on top. - Learning Paths & Depth Control: Delivers anything from a one-line clarification to a sequenced study plan with milestone checkpoints. - Use Case: A developer says "I don't get recursion." Sage leads with a concrete analogy, traces a worked example step by step, names where the analogy breaks, then asks the learner to predict an output to verify the concept landed. ## Quick Start Ask Sage to explain a concept you want to truly understand, such as "teach me how database indexes work and why they speed up queries."