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Question 1
1/15
Before spending hours tweaking a tough prompt, what should you check first?

If your internet is fast enough

If your example was used in the prompt

If the prompt has more than 500 characters

If the AI understands the task the way you do

Question 2
2/15
What does “prompt engineering” mainly mean in real-world work?

Writing essays using AI

Testing and improving how you ask AI to get better results

Managing servers and APIs

Coding a new AI tool from scratch

Question 3
3/15
What separates average prompts from great ones?

Using the longest and most detailed instructions

Trying different versions and thinking of what might confuse the AI

Copy-pasting someone else’s prompt

Adding emojis and friendly greetings

Question 4
4/15
What’s a common mistake beginners make when asking AI for help?

Using short prompts

Thinking everyone will type clearly and politely

Giving too many examples

Asking for multiple answers in one message

Question 5
5/15
Why is reading AI’s responses closely so important?

To reduce your monthly usage cost

To make it more human-like

To learn how the AI thinks and improve your prompt

To copy-paste faster next time

Question 6
6/15
What should you do if your prompt feels unclear or confusing?

Try again with more slang

Just delete it and start fresh

Ask the AI to help rewrite or clarify your instructions

Add more keywords randomly

Question 7
7/15
What’s the problem with always starting prompts like “You are a helpful assistant”?

The AI doesn’t understand the word “helpful”

It’s too obvious

It makes the model slow down

It can distract from the real task

Question 8
8/15
What’s a useful way to start a prompt when you’re unsure how to frame your request?

Use casual, open-ended phrasing to see what the model generates

Insert an example output and ask it to imitate the style

Begin by asking the model to analyze the problem or identify ambiguities

Ask the model to skip the explanation and give a direct answer

Question 9
9/15
What best indicates that a prompt is working effectively in a business or productivity setting?

The AI compliments your prompt structure and tone

It mirrors popular prompt templates seen online

It leads to reliable outcomes across varied use cases or edge cases

It generates detailed, formal language consistently

Question 10
10/15
Why is prompt engineering valuable for non-technical professionals like PMs or marketers?

It’s mainly for automating routine admin tasks

It reduces reliance on developers for frontend design

It helps them use APIs more efficiently

It enhances clarity, ideation, and problem-solving with language models

Question 11
11/15
How does strong product thinking improve your prompt design?

It teaches the AI to prioritize UI/UX components

It helps reduce token cost by trimming unnecessary language

It ensures your prompt always matches brand tone and style

It aligns the prompt with user intent, edge cases, and expected outputs

Question 12
12/15
Why do philosophers make surprisingly good prompt engineers?

They use long words

They’re good at explaining things simply to anyone

They’re always right

They like writing essays

Question 13
13/15
What does it mean to “externalize your brain” when working with AI?

Write down all the context and details the AI needs

Plug your brain into the internet

Let the AI correct your grammar

Ask the AI to guess your intent

Question 14
14/15
What’s the future of prompt writing, based on the experts' view?

Only engineers will use prompts

It’ll disappear completely

Everyone will memorize magic prompts

AI will ask you questions and build the prompt with you

Question 15
15/15
Which of the following most likely improves the factual accuracy of an AI’s response?

Using GPT-4 instead of Claude

Telling it to “give only truthful answers”

Providing structured context and asking it to flag uncertain outputs

Asking it to cite sources for every sentence