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Lesson 4.2 — Course Recap
You’ve reached the end of Prompt Engineering Fundamentals. Instead of just recapping in words, here’s a one-page reference you can actually reuse the next time you sit down to write a prompt.
| Skill | What It Does | Example Cue |
|---|---|---|
| Four Building Blocks | Gives the AI a task, context, format, and constraints instead of a vague ask | “Write a 150-word LinkedIn post… keep it conversational and end with a question.” |
| Few-Shot Examples | Shows the AI two examples so it matches your exact pattern | Review: “…” → Mixed |
| Chain-of-Thought | Asks the AI to reason step by step on multi-part problems | “Think through this step by step, then give the final count.” |
| Precise Editing / Coding Prompts | Names exactly what should stay the same, or the language and format you expect | “Include a docstring and one usage example.” |
📝 A Quick Checklist Before You Prompt
- ☐Have I said exactly what I want done (the task)?
- ☐Have I given the AI enough background to work with (the context)?
- ☐Have I said how I want the answer structured (the format)?
- ☐Have I mentioned any length, tone, or things to avoid (the constraints)?
- ☐Would two examples make the pattern clearer than explaining it in words?
- ☐Is this a multi-step problem that would benefit from step-by-step reasoning?
Practical Tip
Pick one real task you actually need to do this week — an email, a piece of code, a report summary. Run it through the checklist above before you prompt, and notice how much more specific your request becomes.
Key Takeaway
You now have a repeatable process, not just a one-time trick — and it applies to literally any AI tool you use from here on. Take the short quiz below to confirm what you’ve learned.