Prompts
- 13 September 2026
- 6 min read
Prompts your team will actually reuse: a structure, not a list
There are thousands of "best prompts for work" lists online, and almost nobody uses any of them twice. A prompt written for a hypothetical marketing manager does not fit the actual Thursday of an actual account director. The examples are for someone else’s job, and the gap between a clever prompt and a repeated habit is exactly the gap that lists cannot cross.
What gets reused is smaller and duller: a prompt written for one task the team does every week, saved with what to attach and what good output looks like, tested on real material, and owned by a named person who fixes it when it drifts. The four vendors each publish guidance on prompt structure and it is all sound. This article is about the part they do not cover: turning a good prompt into a team habit.
The structure every vendor agrees on
Microsoft’s guidance for Copilot names four parts: goal, context, expectations and source. Google’s Prompting Guide 101 for Gemini uses persona, task, context and format. OpenAI’s help centre guidance stresses being specific and refining in rounds; Anthropic’s prompt engineering documentation says the same at more length and adds examples and explicit output formats. Strip the vocabulary and they describe one thing.
- The task, as a verb with an object. Summarise this thread. Draft a reply. Compare these two versions. Not "help me with".
- The material, attached or pasted, and named in the prompt so the tool knows what to work from. The Copilot / picker, a file upload in ChatGPT or Claude, the open Doc in Gemini.
- The reader and the situation, in one sentence. Who this is for and what they will do with it. This is the part people skip, and it is why the output sounds like nobody.
- The shape of the answer. Length, format, sections, tone. A table with these columns. Under 150 words. Numbered rules. A first draft with gaps marked.
- What not to do. Do not invent figures. Do not add tasks nobody mentioned. Mark anything uncertain with [CHECK]. The instruction that turns a fluent guess into a useful draft.
That is the whole technique. It fits on an index card. The reason teams still struggle is not that they lack the card; it is that they never sit down with their own tasks and write the prompts out.
From a list to a library: what a saved prompt needs
A prompt on its own is half an instruction. The other half is the surrounding knowledge: what to attach, what a good result looks like, what to check before using it. When the person who wrote the prompt leaves, that knowledge leaves with them unless it was written down. A library entry therefore has five fields, and a prompt that is missing any of them is not ready to be shared.
- 1
Name
The task in plain words, as a colleague would search for it. "Weekly client update from meeting notes", not "Update prompt v3".
- 2
Tool and where to run it
Copilot in Word, Gemini in Gmail, Claude Projects, ChatGPT with a file attached. Prompts behave differently across tools; the entry says which one it was tested in.
- 3
The prompt
With the placeholders in square brackets and nothing else that needs editing. If a person has to rewrite a sentence before using it, it is not finished.
- 4
What to attach and what good looks like
Two or three lines. The inputs, and a description of a result you would accept. This is what lets someone judge the output without asking the author.
- 5
Owner and last checked
A name and a month. Tools change; prompts drift. The owner reruns it every quarter and fixes or retires it.
Three prompts, written the way a library entry should be
Write this week’s client update for [client name] using the attached notes. Reader: their [role, e.g. marketing director], who has five minutes and wants to know what moved, what is blocked and what we need from them. Structure: three short sections with those exact headings, then one line on next week. Under 200 words. Plain UK English, no exclamation marks, no adjectives about our own work. Where the notes mention a number or a date, keep it exactly; where something is unclear in the notes, write [CHECK] rather than guessing.
Attach or paste the week’s internal notes and the previous update, so the tone matches. Good output is one you could send after two edits. If it fills the "what we need from them" section with nothing, look again at your notes: it is usually the section that matters most.
Read the attached [document type, e.g. supplier contract, tender, policy draft]. Do not summarise it. Instead, give me the ten questions a careful [role, e.g. operations director] should ask before agreeing to it, in order of how much money or risk each one carries. For each question, quote the clause or page it comes from so I can check it, and say in one line why it matters. Then list anything you expected to find and did not.
Good output sends you back into the document with a purpose. The final list, what is missing, is often the most valuable part, and the clause references let you verify every question in minutes.
I need to have a conversation with [role, e.g. a supplier account manager] about [the issue, in two sentences, with no names]. My aim is [what a good outcome looks like]. Their likely position is [what you think they will say]. Give me: the three points I must land, in the order to raise them; the two objections most likely to come back and a calm response to each; and a one-sentence opening that is direct without being hostile. Then tell me the one thing I should not say. Keep the whole thing under 250 words.
No personal data needed; describe roles and issues, not people. Good output gives you an order and a first sentence. You will still have the conversation yourself, and you should.
Getting the team to write their own
Prompts written by the trainer are the trainer’s. Prompts written by the team are the team’s, and those are the ones that survive. In a session we spend most of the day on exactly this: each person takes a task from their own week, writes the prompt with the five fields, tests it on real material, and reads the result to a colleague who says whether they would use it. Then it goes into the library, or it does not.
You can run the same exercise in a team meeting in forty minutes. Everyone brings one repeated task. Ten minutes to write, ten to test, ten to read aloud in pairs, ten to save the ones that worked. Do it monthly and the library grows at the pace of the team’s real work, which is the only pace that lasts. Our own prompt library is built the same way and is free to raid for structure; the entries themselves should be yours.
Below is a prompt one of my team wrote that works but is rough. Rewrite it into a reusable library entry with these fields: Name (the task in plain words); Tool (where it runs); Prompt (with [placeholders] for anything that changes each time, and an instruction not to invent facts); What to attach; What good output looks like (two lines). Keep the author’s intent and tone. Do not make it longer than it needs to be. [Paste the rough prompt and one sentence on what it is for]
Good output is an entry you can paste straight into the library. If it added a persona or a flourish the author did not want, take it out; the plain version is usually the one people reuse.
Questions people ask
A task stated as a verb with an object, the material attached and named, one sentence on who the output is for, the shape of the answer you want, and an instruction not to invent facts. All four main vendors describe the same structure in different words. The difference between a good prompt and a reused one is writing it for a real task and saving it with what to attach and what good output looks like.
In a place the team already opens, such as a SharePoint page, a shared Doc or a pinned channel post, with five fields per entry: name, tool, prompt, what to attach and what good looks like, and an owner who rechecks it quarterly. Separate prompt tools and slide decks tend to be forgotten within a month.
The structure does; the behaviour does not. Copilot works best on material already in Microsoft 365 and referenced with the / picker, Gemini on the open Doc or Gmail thread, and ChatGPT or Claude on files you attach. A library entry should say which tool it was tested in, and a prompt moved to another tool should be retested before it is shared.
Further reading, all free
- Microsoft Support: Learn about Copilot prompts
Goal, context, expectations, source. Short and exactly right. Free.
- Microsoft Adoption: Copilot Prompt Gallery
Hundreds of prompts by application and role. Good for structure, generic by nature. Free.
- Google Workspace: Gemini Prompting Guide 101
Persona, task, context, format, with examples by role. Free, behind a short form.
- OpenAI Help Center: Prompt engineering best practices for ChatGPT
The non-technical version of OpenAI’s guidance: be specific, refine in rounds, name the tone. Free.
- Anthropic: Prompt engineering overview
The most thorough of the four, written for developers but readable by anyone. Examples and output formats in particular. Free.