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Generative AI Leader Practice Question: A marketing team wants to generate social media…
A marketing team wants to generate social media posts using generative AI. They need the tone to be consistent with their brand voice. Which two prompt engineering techniques should they use? (Choose TWO)
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Use few-shot examples of approved posts
Providing a style guide in the system prompt and using few-shot examples are effective techniques to enforce brand voice. Random examples and negative phrasing are not recommended. Maximum tokens does not affect tone.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Set maximum output tokens to a low value
Why it's wrong here
Token limits cap response length, not tone; brand voice is shaped by style examples and explicit descriptors in the prompt. It is tempting because low max tokens genuinely controls verbosity and cost in production APIs, which is the right choice when you need short, bounded outputs rather than a specific writing style.
- ✓
Use few-shot examples of approved posts
Why this is correct
Few-shot examples of approved posts demonstrate the exact tone, vocabulary and structure the brand expects. Providing these in-context lets the model imitate the desired voice, satisfying the consistency requirement through pattern matching rather than abstract description alone.
- ✗
Use negative prompts like 'do not be casual'
Why it's wrong here
Negative prompts suppress unwanted behaviour but do not supply the target brand voice, so the model still lacks positive style guidance. They are tempting because prohibition lists work well for blocking specific words, formats or unsafe content, making them the correct choice when the requirement is exclusion rather than imitation.
- ✗
Set high temperature to encourage creativity
Why it's wrong here
High temperature widens sampling randomness, which undermines the consistency the brand voice demands. It is tempting because raising temperature genuinely helps brainstorming and creative variation, making it the right choice when generating diverse campaign ideas rather than tightly controlled, on-brand copy.
- ✓
Include a detailed brand style guide in the system prompt
Why this is correct
Embedding a detailed brand style guide in the system prompt gives the model persistent, authoritative tone instructions across every generation. This directly enforces consistent brand voice for social posts, satisfying the requirement more reliably than ad-hoc user-prompt wording.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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