ReExplain: Learning by Teaching AI

The Feynman Technique—explaining a concept in simple terms to identify gaps in your own understanding—is a nightmare to do alone because you don't have a neutral party to tell you where your logic fails. ReExplain basically automates this. Instead of asking an AI to explain something to you, you explain it to the AI, and it tells you exactly what you missed or where your reasoning is fuzzy.

It solves the "illusion of competence" problem where you think you understand a topic until you're forced to articulate it. For anyone trying to master a new technical skill or a complex theory, this is a much more active way to learn than just reading documentation.

To get a real-world feel for it, you can follow this basic workflow:

1. Pick a topic you've been studying (e.g., how LLM attention mechanisms work).
2. Write out your explanation as if you're teaching a beginner.
3. Let the tool analyze your input.
4. Review the "blind spots" it identifies and refine your notes.

Since it's focused on the output of the user rather than just generating text, it feels less like a chatbot and more like a personalized tutor. If you're struggling with a specific subject, this is a solid way to verify your knowledge without having to find a human mentor to quiz you.