The difference between a disappointing AI answer and a useful one is usually the prompt. Good prompting is not a trick or a secret formula. It is the same skill as briefing a capable new colleague: say what you need, why, for whom, and what good looks like.
What is a prompt?
Definition: A prompt is the instruction and context you give an AI model to tell it what to produce. In business use, a prompt often includes the task, background information, examples, constraints and the required output format.
Why do prompts matter so much?
AI assistants do not know your company, your customers or your standards unless you tell them. A vague prompt gets a generic answer. A clear prompt with context gets an answer that fits your situation. Prompts also make results repeatable: a saved prompt used by a whole team produces more consistent work than everyone improvising.
The building blocks of a strong business prompt
Use these six elements. Not every prompt needs all of them, but most good ones use at least four.
1. Role
Tell the AI what perspective to take. "Act as an experienced B2B sales manager" or "You are a careful financial analyst." This shapes vocabulary and judgement.
2. Task
State exactly what you want, using a clear verb. "Write", "summarise", "compare", "list", "rewrite", "extract". One main task per prompt works best.
3. Context
Give the background the AI needs: who the audience is, the situation, relevant facts, your brand voice. Paste the source material if the answer should be based on it.
4. Examples
Show what good looks like. One or two examples of the style or format you want are often more effective than long descriptions.
5. Constraints
Set limits: length, tone, words to avoid, facts not to invent, what to do if information is missing. "If the answer is not in the text provided, say so."
6. Format
Say how the output should look: a table, bullet points, an email with a subject line, a JSON object for an automation, sections with headings.
A worked example: from weak to strong
Weak prompt:
"Write an email to a customer about a late delivery."
The result will be polite and generic, possibly promising things you cannot deliver.
Strong prompt:
"You are a customer service lead at an office-furniture supplier in Dubai. Write an email to a corporate customer whose order of 40 desks, due 12 March, will arrive on 19 March because of a shipping delay from the manufacturer. Audience: the customer's facilities manager, who needs to plan an office move. Tone: apologetic, professional, practical; no excuses. Include: a clear apology, the new date, what we are doing to make sure the new date holds, and an offer to deliver in two batches if that helps. Do not offer discounts or compensation. Under 150 words. Provide a subject line."
The second prompt takes a minute longer to write and produces something close to ready. Notice that it includes facts (dates, quantities), the audience's real concern (planning a move), what to include and what not to offer.
Techniques that help in business use
Ask for options
"Give three versions: formal, friendly and very short." Choosing between options is faster than rewriting one.
Break big tasks into steps
Instead of "write our marketing plan", ask first for an audience summary, then for messaging ideas, then for a channel plan, reviewing each step.
Ground the answer in your material
Paste the policy, report or data and say "use only the information below." This reduces invented facts.
Ask the AI to check itself
"List any assumptions you made" or "Flag anything you are unsure about." This makes review easier.
Iterate
Treat the first answer as a draft. Reply with specific feedback: "Shorter. Remove the second paragraph. Make the call to action clearer."
How do you build a team prompt library?
A prompt library is a shared collection of tested prompts with placeholders, such as [client name] and [product], for tasks the team does repeatedly. To build one:
- List recurring tasks in each team.
- Write and test a prompt for each on real examples.
- Save the best version with placeholders and a note on when to use it.
- Store it where everyone can find it, such as a shared document or knowledge base.
- Review and improve prompts every few months.
DAIDU publishes free prompt packs for marketing, sales and HR that you can use as a starting point.
What should you never put in a prompt?
Follow your company's AI usage policy. As a general rule, do not paste into unapproved tools:
- Customer or employee personal data.
- Passwords, keys or access credentials.
- Confidential contracts, pricing or deal terms.
- Health, financial or legal information about individuals.
Use business accounts with suitable data terms for work, and remove or mask personal details when you can.
Business prompting checklist
- My prompt states the task with a clear verb.
- I have given the audience and the purpose.
- I have included the facts or source material the answer must use.
- I have shown an example or described the style.
- I have set length, tone and things to avoid.
- I have specified the output format.
- I have told the AI what to do if information is missing.
- I have removed personal or confidential data.
- I will review and check facts before using the output.
- If I will use this prompt again, I have saved it with placeholders.
Learn prompting with DAIDU
The proposed AI Productivity Essentials workshop teaches prompting for everyday work, and the AI in Digital Marketing workshop includes a prompt library for marketing tasks. Teams can book a private session focused on their own recurring tasks.
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