4 minutesUsing AI Wisely for School Success
State one rule of thumb for telling AI homework help apart from AI cheating.
Matt Wolfe. Recorded in late 2025, so the screens still look like the screens you'll see today. The first third — plan comparison, account setup, dialling in your settings — is exactly the click-by-click ground the article covers, and the back half (projects, canvas, files, branching) gives you a preview of what's actually behind each menu item before you go exploring.
Use the walkthrough for orientation, not as a permanent map of ChatGPT. Plans, settings, memory surfaces, file handling and model names can change; re-check current account controls before uploading anything sensitive.
Get oriented inside ChatGPT without treating every new sidebar item as something you must master on day one.
None beyond a ChatGPT account and a few low-risk personal examples to try.
Last reviewed: May 18, 2026
Continue through the same learning path with the next curated companion videos.
4 minutesState one rule of thumb for telling AI homework help apart from AI cheating.
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Real time inside an LLM, learning to prompt deliberately and recognise where generative AI is genuinely useful versus where it's a trap. Calm, no-hype teaching — the perfect bridge from "I've tried ChatGPT once" to "I use it every day with confidence."
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When practitioners ask "what should I take if I'm serious about building with LLMs?", this is the answer. Mathematically honest without being a research paper; AWS-flavoured deployment chapters stay useful even if you'll never touch SageMaker.
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Google's own answer to 'what is generative AI, actually' — the non-technical counterpart to Elements of AI, aimed explicitly at sales, HR, marketing, and operations roles rather than engineers. Forty-five minutes to a real mental model of how generative AI differs from classic machine learning, with no code and no jargon.