# AI Super Tutor

EDAI will incorporate an AI Super Tutor which has been trained by academic experts from Oxford & Cambridge University to provide a personalised experience for each and every student. Learners will interact with the client facing "mentor" chat bot which is an expert in personalisation of content, scaffolded learning, and ensuring appropriate pacing for each and every student. The mentor AI interacts with Subject/Course Expert AIs in order to retrieve the content to teach to the learner. Each expert AI is trained on the latest information relating to the subject (including text books and other resources), relevant up to date real world examples and case studies, and curriculum/syllabus knowledge,. The Expert AIs also interact with our Navigator AI which has knowledge of all of the content hosted within the EDAI app. Information from the Expert AI and Navigator are then passed back to the Mentor to be used in creating a bespoke learning experience for the Learner. Creating the AI in this way will allow the EDAI team to tweak and update specific models, and update \* add new content without changing other models. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://edai.gitbook.io/edai-whitepaper/edai/the-learning-experience/ai-super-tutor.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.