Four Principles That Official AI Prompting Guides Share

The guides keep saying the same four things

If you read the prompting guides that AI companies publish, the wording differs but the advice overlaps heavily: be specific, show examples, set a role and an output format, and split the work into steps. You do not need to learn special terms. Give instructions the way you would brief a capable new colleague, and the results get steadier.

This article takes those shared points and applies them to repeated tasks in a one-person or small company. None of it depends on a particular product, so it works with any assistant.

Four principles applied to everyday tasks

Principle 1: Be specific

"Write a thank-you email" tells the AI nothing about the reader or the purpose, so it returns an average message. Say who it is for, what it is about, what tone to use, and how long it should be. Editing time drops.

Useful details include:

• Reader: a first-time customer
• Purpose: confirm shipping and give a contact address
• Tone: polite, not stiff
• Length: about 120 words
• Facts to include: order number, ship date, carrier

When information is missing, the AI may fill the gap with a guess. Add "ask me if anything is unclear."

Principle 2: Show examples

One to three samples of the output you want usually communicate more than a paragraph of description. Past replies you wrote, a product description you polished, or a table layout you like all work.

Watch for one risk: the AI may copy the example too closely. With a single sample, the content often drifts toward it. Use samples of different kinds, or say "copy the format only and write new content."

Principle 3: Set a role and a format

Giving a role, such as "you are an experienced customer-support agent," tends to make vocabulary and viewpoint consistent. A role does not make facts more accurate, though.

The format decides how usable the result is. Ask for bullets, a table, a short text with headings, or a list with fixed field names, whichever fits where it will be used. If you will paste the output into another tool, request that layout, for instance one item per line.

Principle 4: Break the work into steps

A long, tangled request leads to omissions and mix-ups. Split it:

1. Pull the request and the preferred date out of the customer's message.
2. List what information is still missing.
3. Draft a reply based on that list.

Each stage can be checked, so you can see where an error began. A large task can be spread across several exchanges.

Review and refine

A prompt is rarely finished on the first try. Read the output, then add the condition that was missing. Save the versions that work and reuse them.

The guides also assume a person checks the output. Compare numbers, names, and anything touching law or tax against your source material.

Keep a log so the prompt improves

A prompt gets better through use. Each time you change it, note the date, what you changed, and why, in one line. If a change makes things worse, you can go back.

Compare versions on the same inputs. If you test on a different topic each time, you cannot tell whether the prompt or the topic made the difference. Pick about three representative inputs and run all of them every time you edit.

Outputs also vary from run to run. Do not judge from a single good result; try two or three runs and see whether it holds. If it does not, the prompt may be missing a condition, or the request may be too large.

Phrasings to avoid

The guides tend to warn against vague negatives and contradictory instructions. "Keep it short but thorough" leaves both the AI and the reader guessing. Write something you can check, such as "under 100 words, with two figures."

Telling the AI what to do usually works better than listing what not to do. When a prohibition is needed, add what you want in its place.

What to do next

1. Pick one writing task you repeat several times a week.
2. List the reader, purpose, tone, length, and facts to include.
3. Add one or two good past samples to the prompt.
4. Split the task into two or three stages and write an instruction for each.
5. After reviewing the output, fold your corrections into the prompt and save it in a file.