AI Guides

Get Started with AI for Studies: Summaries, Exam Prep and Safer Research

A student guide to using AI for lecture summaries, exam preparation and course-material search without breaking academic integrity rules.

Edited and published by Christian Kirk, Founder and editor Research basis Source-backed; hands-on only where explicitly shown
Desk workspace with laptop and notes for focused study Photo by Minh Phuc on Pexels
Quick answer

Use NotebookLM or a general assistant for summarising your own lecture notes and PDFs, Perplexity when you need cited web sources, and strict human review before anything is submitted. Never paste confidential exam content or assume AI summaries are accurate enough to quote without checking the original page.

How this was checked

This guide explains workflow patterns only. University plagiarism and AI-use policies differ by institution; check your course handbook and exam rules before submitting AI-assisted work.

How this page was made

I chose the topic, scope and source list, and I am responsible for publishing corrections. Automation and AI can help with research sorting, first-draft structure and repetitive formatting. Facts, prices and claims must still trace back to the sources shown on the page. This is not labelled as a hands-on product review.

Course PDFs and slides Google NotebookLM

Strong when the source material is already uploaded and you need Q&A over your own documents.

General study assistant ChatGPT, Gemini or Claude free tier

Useful for rewriting notes, practice questions and explaining concepts in simpler language.

Web research with citations Perplexity

Better when the task needs outside references rather than your private notes alone.

What to avoid Submitting unchecked AI text

Treat every answer as a draft that still needs source verification and your own wording.

Start with one study workflow

Pick the task that eats the most time: weekly reading summaries, flashcard generation, essay planning or practice questions. Test one tool on that workflow for a fortnight instead of opening five apps before an exam.

The fastest wins are usually repetitive reading tasks where the output is for your own revision, not direct submission.

Useful patterns by task

Lecture cleanup: paste your notes and ask for a one-page summary with headings, key terms and three self-test questions.

Exam prep: ask for practice questions from your own notes only, then answer them without looking before checking the model's solution.

Essay planning: use AI to brainstorm structure and counter-arguments, but write the final argument yourself and cite primary sources directly.

Language courses: use AI for example sentences and grammar explanations, not for graded translation submissions unless your instructor allows it.

Academic integrity guardrails

  • Check whether your university allows AI for planning, coding help, translation or full drafting.

AI guide scope

These guides link to official vendor pages and explain tradeoffs without inventing prices, benchmarks or availability. Check each product's current plan page before purchase or enabling computer-use permissions.

FAQ

Is NotebookLM better than ChatGPT for students?

NotebookLM is often better when your material is already in PDFs, slides or notes and you want grounded Q&A over those files. ChatGPT or Claude are better general assistants for rewriting, brainstorming and practice questions across mixed sources.

Can I use AI to write my assignment?

Only if your institution and course explicitly allow it. Many programmes permit AI for planning or grammar help but require the submitted analysis to be your own. When in doubt, ask your instructor before the deadline.

Sources and methodology

I link to official product pages and explain workflow tradeoffs without inventing prices, benchmark scores or rollout dates. Verify plan limits, permissions and regional availability on each vendor site before enabling agents or computer use.

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