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Question 1
1/15What best indicates that a prompt is working effectively in a business or productivity setting?
It generates detailed, formal language consistently
It leads to reliable outcomes across varied use cases or edge cases
It mirrors popular prompt templates seen online
The AI compliments your prompt structure and tone
Question 2
2/15What’s the future of prompt writing, based on the experts' view?
AI will ask you questions and build the prompt with you
Everyone will memorize magic prompts
It’ll disappear completely
Only engineers will use prompts
Question 3
3/15Which of the following most likely improves the factual accuracy of an AI’s response?
Asking it to cite sources for every sentence
Providing structured context and asking it to flag uncertain outputs
Telling it to “give only truthful answers”
Using GPT-4 instead of Claude
Question 4
4/15How does strong product thinking improve your prompt design?
It aligns the prompt with user intent, edge cases, and expected outputs
It ensures your prompt always matches brand tone and style
It helps reduce token cost by trimming unnecessary language
It teaches the AI to prioritize UI/UX components
Question 5
5/15What does “prompt engineering” mainly mean in real-world work?
Coding a new AI tool from scratch
Managing servers and APIs
Testing and improving how you ask AI to get better results
Writing essays using AI
Question 6
6/15What separates average prompts from great ones?
Adding emojis and friendly greetings
Copy-pasting someone else’s prompt
Trying different versions and thinking of what might confuse the AI
Using the longest and most detailed instructions
Question 7
7/15Why do philosophers make surprisingly good prompt engineers?
They like writing essays
They’re always right
They’re good at explaining things simply to anyone
They use long words
Question 8
8/15Why is prompt engineering valuable for non-technical professionals like PMs or marketers?
It enhances clarity, ideation, and problem-solving with language models
It helps them use APIs more efficiently
It reduces reliance on developers for frontend design
It’s mainly for automating routine admin tasks
Question 9
9/15Before spending hours tweaking a tough prompt, what should you check first?
If the AI understands the task the way you do
If the prompt has more than 500 characters
If your example was used in the prompt
If your internet is fast enough
Question 10
10/15What’s a useful way to start a prompt when you’re unsure how to frame your request?
Ask the model to skip the explanation and give a direct answer
Begin by asking the model to analyze the problem or identify ambiguities
Insert an example output and ask it to imitate the style
Use casual, open-ended phrasing to see what the model generates
Question 11
11/15What’s the problem with always starting prompts like “You are a helpful assistant”?
It can distract from the real task
It makes the model slow down
It’s too obvious
The AI doesn’t understand the word “helpful”
Question 12
12/15Why is reading AI’s responses closely so important?
To copy-paste faster next time
To learn how the AI thinks and improve your prompt
To make it more human-like
To reduce your monthly usage cost
Question 13
13/15What does it mean to “externalize your brain” when working with AI?
Ask the AI to guess your intent
Let the AI correct your grammar
Plug your brain into the internet
Write down all the context and details the AI needs
Question 14
14/15What’s a common mistake beginners make when asking AI for help?
Asking for multiple answers in one message
Giving too many examples
Thinking everyone will type clearly and politely
Using short prompts
Question 15
15/15What should you do if your prompt feels unclear or confusing?
Add more keywords randomly
Ask the AI to help rewrite or clarify your instructions
Just delete it and start fresh
Try again with more slang