Support & Knowledge Base

Absolutely not. We actively discourage ghostwriting and plagiarized text generations. ThesisReview is a structural drafting workspace. It requires students to upload actual literature to their Source Vault, answer guided conceptual interviews, and make writing choices. The platform preserves academic integrity by generating an authorship validation trail that logs revisions.

Yes. When you download your thesis, the system compiles your chapters, headings, problem statements, and bibliographies into a professional `.docx` document. The file uses Microsoft Open XML guidelines so margins, double-spacing, cover pages, and referencing standards are fully compatible with Word. Pro and Institutional tiers export without promotional watermarks.

We natively support APA 7th Edition, MLA 9th Edition, Chicago Manual of Style (17th Ed.), and Harvard referencing standards. You can configure this selection during your initial project interview, and the bibliography engine will format all vault citations accordingly.

Yes, data security is central to our platform. ThesisReview utilizes decoupled cloud databases (MongoDB/Firestore) and private file storage to host your drafts and uploaded vault items. We never use your private notes or uploaded PDFs to train public AI models.