How to study better

Build a practice exam from your own lecture notes: choose the right sources, set the format and timing, generate questions, and mark yourself honestly.

A practical method for summarising a textbook chapter: what to read first, what to keep, and how AI can draft notes and questions that you then check.

A transcript of a lecture is long and unstructured. Here is how to turn it into clear study notes, flashcards and a quiz, and how to check the result.

Turn a Word (.docx) file of class notes or a study guide into flashcards: prepare the file, generate the cards, and write ones that test recall.

How to turn lecture slides into a practice quiz: what an AI tool reads from a .pptx file, what it misses, and how to check the questions before revising.

The parents of Mathias Habib, 15, are suing OpenAI over his death. What the lawsuit alleges, how it compares with earlier cases, and what parents can do.

A step-by-step method for turning lecture slides, PDFs and notes into practice quizzes and flashcards with AI, in any language, and how to check the output.

A calm look at what AI is changing at work, which skills are worth learning now, and a realistic plan for people who are not in technical roles.

A practical way to choose between the major AI assistants for everyday work, based on the tools you already use and the tasks you actually do.

What happens to what you type into AI tools, which information should never go in, and how to use ChatGPT at work without breaking policy or privacy law.

AI hallucinations explained in plain language: why language models invent facts and sources, which answers to distrust, and a simple way to check them.

Why most prompts produce generic answers, and the four things to include so that ChatGPT, Claude or Gemini gives you something you can use.

Your workplace expects AI skills but offered no training. A practical, safe way to start using AI on your own work, and to show that it helps.

A practical order for learning AI from nothing: what to understand first, what to practise, what to ignore, and how long it realistically takes.

Which free AI courses actually give you a free certificate, which only let you watch for free, and how to choose one that fits the work you do.

A realistic path into AI work if you don't already have a computer science background — what to actually learn, what to skip, and how to prove it.

Where AI genuinely helps a child learn, where it quietly does the thinking for them, and the one habit that keeps the line clear.

How fast the AI market is growing, what AI engineers earn in the US, UK, and India, and which industries hire them. Every figure checked against its source.

AI-powered stuffed animals and companion robots are now sold to children as young as three. Here is what researchers found when they actually tested them, and what to check before buying one.

A realistic starting point for using AI in the classroom: what it actually saves time on, what it should never touch, and the mistake that makes most teachers abandon it in the first week.

A study plan for the NCLEX: how the exam actually tests you, why question practice beats content review, and how to work through rationales properly.

What intervals to use, how to fit spacing around a fixed exam date, and why the algorithm matters less than showing up.

A repeatable order for reading a paper, the five things a good summary must contain, and the mistakes that produce a summary you cannot use later.

Re-reading feels productive and barely works. Active recall feels harder and works far better. Why the gap exists, and how to switch.

Three ways to turn a PDF into flashcards — by hand, semi-automatically, and with AI — and how to write cards that actually stick.

The science of the forgetting curve, why last-minute cramming evaporates within days, and the simple habit that makes knowledge stick.

A calm, step-by-step triage plan for cramming a huge lecture in one night — what to read, what to skip, and how to actually remember it.