ChatGPT Tutorial: 35 Tips I Wish I Knew Sooner
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.
AI Expert note
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.
What you should get from this
Get oriented inside ChatGPT without treating every new sidebar item as something you must master on day one.
Watch or know first
None beyond a ChatGPT account and a few low-risk personal examples to try.
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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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MCP is the protocol that's quietly replacing one-off tool integrations across the AI tooling ecosystem. Learn it from the source. By the end you'll have built and deployed your own MCP server, connected an LLM client to it, and understood why this standard is the closest thing the field has to USB-C.