Writing Clear AI Prompts

Relax. We'll talk through this in plain words — no textbook voice.

What you'll walk away with

Understand Writing Clear AI Prompts without the intimidation factor
Get hands-on practice trying it yourself
Spot the common pitfalls and sidestep them with a smile

Learn to turn a vague prompt into one that's precise, testable, and reusable.

Let's think about it this way for a moment

A clear prompt includes something you can actually measure, instead of a vague line like "do a good job." For example, "explain every technical term in one line so a beginner can follow along, and keep it under 300 words" gives the model something far more concrete to work with.

Writing Clear AI Prompts lesson illustration — Prompting and LLMs — Writing Clear AI Prompts

Let's connect this to everyday life

Break a hard task into stages like analyze, draft, and review. If you're providing reference text, you can set a boundary too — like "only use facts from this text, and say so if something isn't in there."

Keep to a single, clear goal
Specify the audience and tone
Specify the answer's length and structure
Add a rule to admit when it doesn't know

Let's try it hands-on together

text

မရှင်း: ဒီ code ကိုကောင်းအောင်လုပ်ပါ။

ရှင်း: အောက်ပါ JavaScript function ကို review လုပ်ပါ။
1. Bug ကိုရှာပါ
2. Time complexity ရှင်းပါ
3. ပြင်ထားသော code ပေးပါ
မလိုအပ်တဲ့ library မထည့်ပါနှင့်။

You should see

You'll be able to spot where a prompt is vague and fix it by adding specifics.

5-minute try-it

Take a prompt you use all the time and rewrite it as a before/after pair, then compare the two answers.

A quick word of caution

Don't treat AI output as the final, guaranteed-correct answer. For anything important — critical facts, code, or user data — have a human review it before you use it.

OpenAI — Prompt engineering — OpenAI

Easy traps

Assuming a longer prompt is automatically a better prompt
Including instructions that contradict each other

Exercise

Take a prompt you use all the time and rewrite it as a before/after pair, then compare the two answers.

You'll know it worked when: You'll be able to spot where a prompt is vague and fix it by adding specifics.