Updated: 2026-05-02
What You Can Do in Studieasy
A complete walkthrough of core Studieasy workflows: upload material, generate questions, study adaptively, and publish public sets.
Read guideStudieasy Product Guides
Practical documentation on Studieasy features, Tutor behavior, question generation architecture, and public-study discovery.
Updated: 2026-05-02
AI Tutor Architecture in Studieasy
How the Studieasy Tutor is structured: trigger logic, context assembly, memory summaries, cost controls, and student-facing responses.
Read guideUpdated: 2026-05-02
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.
Read guideUpdated: 2026-05-02
How Public Studies Work in Studieasy
How publication, discovery, language filtering, subject grouping, and ranking work for public studies in Studieasy.
Read guideUpdated: 2026-05-02
How Question Generation by Chunks Works
Understand chunk-based generation in Studieasy: why documents are split, how coverage is managed, and how question quality is improved iteratively.
Read guideUpdated: 2026-05-02
AI Tutor Limits, Safety, and Reliability
How Studieasy keeps Tutor responses useful and affordable: message limits, cooldowns, context controls, and operational monitoring.
Read guide