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Question 1
1/15Before 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
2/15What 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
3/15What 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
4/15What’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
5/15Why 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
6/15What 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
7/15What’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
8/15What’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
9/15What 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
10/15Why 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
11/15How 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
12/15Why 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
13/15What 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
14/15What’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
15/15Which 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