Companion videos

The difference between a bad and good prompt (5 before/after examples) — companion videos

The article walks through five concrete bad-prompt → good-prompt rewrites. These two videos give you the underlying framework — Google's official five-part prompt structure and a longer free course on the moves that actually move output quality — so the rewrite habit becomes second nature, not a rule you have to remember.

Primary pick

20:17
Google's 9 Hour AI Prompt Engineering Course In 20 Minutes

Tina Huang

Tina condenses Google's official Prompting Essentials course into the five-part TCREI structure (Task, Context, References, Evaluate, Iterate) with worked examples on each. After the article shows you five rewrites, this hands you the recipe Google itself teaches employees, so you can do the rewrite on your own prompts without copying ours.

What you should get from this: You leave with the five-part TCREI structure as a repeatable checklist for building and refining your own prompts.

Watch or know first: None — watchable cold.

AI Expert note: The TCREI checklist is the takeaway; pause after each worked example and redo the rewrite on one of your own prompts, the same move the article's five examples teach.

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Also worth watching

41:36
Prompt Engineering Tutorial – Master ChatGPT and LLM Responses

freeCodeCamp.org

A longer, more patient course that earns its length. The chapters on best practices, zero-shot vs few-shot, and what hallucinations look like in prompted output are exactly the deepening you want once the article's five examples have clicked.

What you should get from this: You will be able to apply core prompting best practices and tell zero-shot from few-shot prompting in your own work.

Watch or know first: None, but it lands best after the article's five rewrites have clicked.

AI Expert note: If you're short on time, the chapters on best practices, zero-shot vs few-shot and hallucinations are the ones that deepen the article — the rest is background.

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