Write AI Prompts
Anyone who has used an AI tool at work knows the feeling. You type a quick request, the answer comes back polished and confident, and it is not quite what you needed. So you try again, then again, and twenty minutes later you have spent longer on the prompt than the task would have taken by hand. The problem is usually not the tool. It is the instruction.
Writing a good prompt is a writing skill, and it follows many of the same rules as any clear business writing. Know who the reader is. Say what you want in the first sentence. Use short sentences and concrete words. Give an example. These rules were not invented for AI, which is good news for anyone who already cares about grammar and clarity.
The federal government has written many of those rules down for its own use. The Plain Writing Act of 2010 established the requirement that content for the public is written for its specific audience, and the plain language guide on Digital.gov groups its principles under four headings: audience, organization, short and simple writing, and avoiding jargon. Those same four ideas make a practical framework for writing prompts in a small business.
Start with the audience, twice
A prompt has two audiences. The first is the AI tool, which needs to understand the task. The second is the person who will eventually read the output, whether a customer, a supplier or a colleague. Most weak prompts describe neither. “Write an email about the delay” leaves the tool guessing about tone, length, relationship and what the reader should do next.
A stronger version names both. “Write a short email to a regular customer whose order of kitchen tiles will arrive five days late. Apologize once, give the new delivery date, and offer to call if the delay affects their installer. Friendly, not formal, under 100 words.” That prompt takes thirty seconds longer to write and saves several rounds of revision.
It helps to imagine briefing a capable new employee on their first day. They are smart and fast but know nothing about your business, your customers or your habits. Anything you would explain to them, explain to the tool. Anything you would not need to explain, such as basic grammar, you can safely leave out.
Put the task first and organize the rest
The Digital.gov guide tells writers to organize information and to summarize lengthy documents up front. In a prompt, that means stating the task in the first sentence. “Summarize this contract for a client who is not a lawyer” is clearer than three paragraphs of background followed by “can you help with this?” at the end.
After the task, add context in a predictable order: who the output is for, what it must include, what it must avoid, and what format you want. Some people use short labeled lines, such as “Audience:”, “Must include:” and “Format:”. This is not a magic formula. It simply makes the prompt easier to write consistently and easier for a colleague to reuse.
Organization also means one task per prompt. Asking a tool to summarize a document, draft a reply and suggest a subject line all at once often produces three mediocre results. Splitting the job into steps gives you a chance to check each part before moving on, and it makes errors easier to spot.
Short, simple and specific
Short sentences and common words help AI tools for the same reason they help people. A long, nested sentence with several conditions gives the tool more ways to misread which condition applies to what. “Only include orders shipped after March 1 that were not refunded” is clearer than a sentence that buries the same rule inside a paragraph about the report’s purpose.
Specific words beat general ones. “Make it better” gives the tool no direction, so it falls back on its defaults, which usually means longer and more formal. “Cut it to 80 words, remove the second paragraph and replace ‘utilize’ with ‘use'” tells it exactly what to change and gives you an easy way to check that it did.
Examples are the most specific instruction of all. If you want a particular style, paste in a short sample of writing you like and say “match this tone.” If you want a particular format, show one finished entry. A single good example often does more than a paragraph of description.
Leave out what the tool does not need
Plain language also means cutting what does not serve the reader, and that applies to the information you paste into a prompt. If you want help replying to a complaint, the tool needs the substance of the complaint. It does not need the customer’s full name, phone number, home address or account number.
Swap those details for bracketed placeholders such as [customer] or [order number] before pasting, and put the real ones back afterward. It is the same editing instinct that cuts a needless adjective. The reply comes out just as well, and no personal information has gone to an outside service for a task that never required it.
For a business that does this dozens of times a day, cleaning every prompt by hand becomes the weak point, and some companies prefer to have the workflow built properly, with AI connected to the software they already run. Aivy, an AI agency Australia‘s accounting practices, clinics and online retailers can call on, is one example of a firm that starts from a team’s existing software, and similar specialists work across the U.S.
Save the prompts that work
The last plain language habit is testing. The Digital.gov guide covers testing content to make sure it communicates what the writer intended, and prompts benefit from the same approach. When a prompt produces a result you would send without changes, save it. When it fails, note what went wrong and adjust one thing at a time.
Over a few weeks, a small business can build a library of tested prompts for its most common jobs: quote follow-ups, appointment reminders, review replies, meeting summaries. Store them where the whole team can find them. A shared library means a new employee writes like the business from day one, rather than learning by trial and error.
Clear writing is the real skill
AI tools reward the same habits that good writing teachers have always taught. Know your reader, lead with the point, keep it short, be specific and show an example. People who already write clearly tend to get better results from AI tools, and the practice of writing clear prompts sharpens their other writing as well.
For a small business, that is a useful way to think about AI. Seen this way, the technology is one more reason to write well, because the clearer the instruction, the less time anyone spends fixing the result. Start with the task your team repeats most often, write one careful prompt for it this week and see how much revision it saves.
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