Moderation Process

Every contribution goes through an automated review process before it can become published study content. First, the system extracts the content from your uploaded file — pulling out text page by page, identifying tables, and reading embedded images. For images and scanned documents, AI vision classifies and reads the visual content.

Once extraction is complete, the structured text enters the AI Teachers' Council, a council of five AI teachers where each teacher has a specific role. Luna acts as the Creator and generates the initial study content from your source material. Atlas serves as the Reviewer and evaluates the content for accuracy, completeness, and pedagogical quality. Nova is the Enricher, adding examples, deepening explanations, and refining the language.

Sage acts as the Validator, checking factual accuracy, internal consistency, and fidelity to the source material. Echo is the Fact Checker, cross-referencing claims against real-world knowledge for a final verification pass. Each teacher reviews the content independently without seeing what the others have said, creating a genuine peer review process. When all five teachers agree, the content is verified and published.

If any teacher identifies issues, the content is flagged for further review. Contributions that are rejected include a reason explaining what went wrong, and you can submit an appeal if you believe the rejection was incorrect. The entire process is designed to ensure that only accurate, high-quality study material reaches other students.