Deep Tutor turns static pages into step‑by‑step Socratic dialogue

Deep Tutor processes uploaded PDFs, lecture slides, and even video captions, then asks guiding questions and provides scaffolded hints instead of just spitting out final answers. This approach strengthens conceptual understanding and mimics the experience of working with a patient human tutor.

Business outcome: Students achieve deeper comprehension and higher exam performance through active recall and guided problem‑solving.

Unlimited, curriculum‑aligned practice problems generated on demand

OpenNote automatically creates fresh practice questions and exercises drawn from the exact topics in a learner’s own notes. Students can drill specific areas without buying extra workbooks or hunting for external resources.

Business outcome: Eliminates the cost and delay of sourcing additional study materials; students get as many reps as they need to master a topic.

Converts abstract STEM concepts into automatically generated diagrams and graphs

When a student is stuck on a calculus or physics problem, OpenNote can produce labelled charts, vector diagrams, or function graphs that make the concept tangible. Visual aids reduce the time spent staring at pages of equations.

Business outcome: Faster concept acquisition means students spend less time per topic, freeing capacity for broader exam preparation.

On‑demand, AI‑distilled study guides pulled from messy lesson files

Instead of re‑reading 50‑page lecture notes, students can ask OpenNote to generate a structured revision guide that highlights key formulas, definitions, and recurring problem types. The guide stays linked to the original source so nothing is lost.

Business outcome: Dramatically shortens last‑minute revision cycles, helping students walk into exams with organised, high‑yield summaries.

STEM‑ready engine that reads and writes complex math notation natively

Unlike generic chatbots that mangle integrals and chemical equations, OpenNote renders LaTeX correctly and understands the context of mathematical symbols. This makes it trustworthy for calculus, statistics, physics, and engineering courses.

Business outcome: Reduces frustration and errors caused by tools that can’t parse technical language, keeping study sessions productive.

Back‑and‑forth questioning that adapts difficulty based on student performance

OpenNote tracks how a student responds and adjusts the challenge level in real time, offering simpler remedial prompts or harder extension questions. This adaptive loop keeps learners in their optimal zone of proximal development.

Business outcome: Personalised pacing turns generic PDFs into a customised learning path, improving return on study time for every ability level.

• Instant active learning from any PDF or videoSimply upload a file and OpenNote turns it into a living tutoring session — no manual question‑writing required.
• STEM‑native notation supportMathematical expressions, chemical equations, and diagrams render correctly, making the tool credible for technical subjects.
• Adaptive difficulty scalingPractice problems adjust to each student’s level, preventing both boredom and frustration during self‑study.
• Visual explainabilityAuto‑generated graphs and diagrams give students an intuitive “aha” moment that text‑only tutors miss.

• Output quality depends on uploaded materialIf source notes are sloppy or incomplete, AI explanations can reflect those gaps or even introduce subtle errors.
• Limited value for non‑STEM humanitiesThe platform is built around problem‑solving and notation; essay‑based disciplines will find far less utility.
• Free tier caps are tight for heavy usersStudents juggling multiple courses will quickly hit interaction limits and need the Pro plan.
• Professional RealityThink of OpenNote as an excellent study partner, not a replacement for official course materials. Always cross‑check AI answers against your professor’s notes before an exam.

STEM exam revision sprint

Upload an entire semester’s PDF notes and let Deep Tutor drill you on weak areas with fresh practice problems every night. The adaptive feedback loop ensures your final review session targets gaps, not what you already know.

Supplementing a difficult lecture course

After each class, import the day’s slides and ask OpenNote to re‑explain complex derivations step by step. This turns passive note‑taking into an active, reinforced learning sequence.

Study group bootcamp

A small group uploads shared problem sets and takes turns answering generated questions. The tutor acts as a neutral moderator, keeping everyone engaged and reducing the need for a paid instructor.

Private tutoring efficiency boost

Tutors upload a student’s past exams and use OpenNote to generate targeted warm‑up problems before a session, making paid face‑to‑face time more productive and less repetitive.

Create a free OpenNote account using your university email or Google login.

Upload your first course PDF, lecture slides, or paste a YouTube link for video-based material.

Launch a Deep Tutor session — ask it to explain a tricky concept or generate five practice questions on a specific topic.

Build a recurring habit: after each lecture, upload that day’s notes and let OpenNote create a micro‑revision guide to cement understanding.