AI Prompt Collection by Job Function — with worked examples
Ready-to-use prompts, grouped by job role, that employees can apply at work right after training. Each one pairs a use case, a copy-ready prompt and tips for adapting it, so it works well as a follow-up handout for AI training.
- FormatWord (.docx) — just swap in your company name and figures
- What’s insideReady-to-use documents and usage tips
- How to get itEnter your company, name, and email for an instant download plus a copy by email
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What’s in this document
- The basic prompt framework (role, context, task, format, constraints)
- HR & training, sales, marketing, production & quality, finance & purchasing, general administration
- Everyday work prompts for each job function
- Result verification checklist
- One-page summary for internal distribution
How to use it
- Hand it out the day training ends. Employees should be able to use the prompts they practiced in the session at work the next day; that keeps adoption high.
- Fill in the [ ] brackets with your real work context, and remind people not to enter client names, personal data, or unpublished figures.
- Collect the prompts that work well in each department and add them to this document to build an in-house prompt library.
- Distribute the result-verification checklist alongside it to reinforce the principle that people verify numbers and facts.
Preview of the tables inside
Below are some of the tables from the file. The full content is in the file.
1. How to use this collection
| Order | Task | Tip |
|---|---|---|
| 1 | Open the chapter for your job function and pick a prompt for a similar task | Many prompts are useful in other job-function chapters too (meeting minutes, email, report summaries) |
| 2 | Copy a prompt from the gray box and paste it into the AI input field | Losing the line breaks makes little difference to the result |
| 3 | Fill in the [ ] blanks with your own task details | Be specific for better results, but replace any information you must not enter |
| 4 | Once you have a result, refine it using the revision tips | Don’t aim for a finished result in one pass; refine it over 2–3 follow-ups |
| 5 | Check it against the result verification checklist at the end before using it | Check numbers, names, laws, and sources against the originals |
2. A basic prompt framework — role · context · task · format · constraints
| Element | What it is for | What happens when it is missing | Example |
|---|---|---|---|
| Role | The type of expert the AI answers as | Vague generalities | "You are a training manager on the HR team of a manufacturing company" |
| Context | Company, audience, situation, and purpose | Answers that don’t fit your company | “Auto-parts company with 280 employees, for 12 newly appointed team leaders” |
| Task | State the task clearly, with a verb | Off-target output | "Write an announcement email", "Sort these into 5 categories" |
| Format | Tables, lists, length, and section order | Time lost reworking the output | “As a table: Time | Content | Method”, “Within 300 characters” |
| Constraints | Do’s and don’ts | Made-up numbers, exaggeration, inappropriate wording | “Mark missing figures as [Needs checking]”, “No exaggerated claims” |
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