We support various file types, from PDFs to word documents. All the questions are generated solely based on the content you provide.
We use a smart context chunking algorithm that breaks down large study materials into manageable pieces, ensuring you always get accurate questions.
We run a detection system to identify when a question was answered correctly multiple times and formulate new ones when it happens. With multiple types of questions, from multiple-choice and long answers to flash cards.
Studieasy maps your strengths in studies so it always knows exactly what to question you next.
What You Can Do in Studieasy
A complete walkthrough of core Studieasy workflows: upload material, generate questions, study adaptively, and publish public sets.
AI Tutor Architecture in Studieasy
How the Studieasy Tutor is structured: trigger logic, context assembly, memory summaries, cost controls, and student-facing responses.
How the Tutor Learns Your Weaknesses
A practical explanation of how Studieasy detects weak areas, adapts guidance, and helps students improve over multiple study sessions.
How Public Studies Work in Studieasy
How publication, discovery, language filtering, subject grouping, and ranking work for public studies in Studieasy.