A prompt is the input you give an AI system: a question, an instruction or a longer brief with context and examples. You will often type it into ChatGPT or another tool, but an image or voice input can be a prompt too. A clear prompt helps the model produce a useful answer; the model, available information and your review of its output also matter.
If you ask only for "an email", the AI does not know who will read it, why you are writing or what tone to use. Adding those details gives it a better starting point. You still need to check facts, prices and promises before sending the result to a customer.
Vague prompt vs. specific prompt
Let me show you the difference with a concrete example. You want to write an e-mail to a customer waiting for a delayed order.
The second prompt sets the content, tone and boundaries. Fill in the real delivery date and check the facts before sending.
5 rules of a good prompt
1. Describe the task and audience
Say what you want the AI to prepare and who will use it. For a customer reply, the type of request and your brand's tone may be enough; do not put personal data into a public AI tool without an approved process.
2. Specify format and length
"Write three bullet points" or "keep it under 100 words" makes the desired format clear.
3. Give examples
A short, approved example shows the style better than "write professionally". A RAG knowledge system solves a different problem: it retrieves relevant information from approved company sources to support an answer.
4. Say what you don't want
Set concrete limits: "Do not invent a price" or "Mark any missing date for review."
5. Iterate
If the first result is weak, follow up with "Make it less formal" or "Cut it in half but keep the main point." If the model loses the context, provide the important details again.
A prompt template you can adapt
A good prompt is often enough for a one-off task. When the same work repeats across several systems, process automation with review steps may be more useful than an ever longer prompt.
OpenAI's prompt guide also recommends clear instructions, enough context and iterative refinement. No wording can guarantee factual accuracy.
Working through a repeated business task? Let's review your process.
I build AI solutions for businesses — from chatbots to knowledge systems. I write about what actually works, no buzzwords. More about me →