AI glossary for businesses
Prompt
In short
A prompt is the instruction, question or material you give an AI tool to tell it what you want. It can be one short sentence or a full brief with context, examples and the format you expect. The quality of the prompt strongly affects the quality of the answer, so clear prompts save editing time.
How a prompt works
An AI tool like ChatGPT, Claude or Gemini starts every task knowing nothing about your business. The prompt is its only briefing. Think of it like a brief to a freelance copywriter you have never met. "Write something about our sale" gets you something generic. A brief that names the audience, the product, the tone and the length gets you something you can use.
A good prompt usually covers four things:
Task: what to produce, for example three Instagram captions.
Context: who the customer is and what matters to them.
Examples: one or two texts you liked before.
Format: length, language, tone and structure.
In practice for a small business
A family bakery in Athens wants posts for a new sourdough loaf. A weak prompt: "Write a post about our new bread." A stronger prompt: "Write three Instagram captions in Greek for our new sourdough loaf, made with Greek flour and a 24-hour rise. Our customers are local families. Tone: warm and simple, no exaggeration. Maximum 40 words each, with one call to visit the shop. Here is a caption we liked: …"
The second version takes one extra minute to write and usually saves several rounds of editing. Once a prompt works well, save it in a shared document so the whole team can reuse it. The same approach works for AI product descriptions.
Why it matters and what to watch out for
Personal data: what you put in a prompt is sent to the provider. Do not paste customer names, phone numbers or employee records into tools without business-grade data terms. GDPR still applies.
No guarantee: even a perfect prompt can produce a wrong fact. Always check numbers, prices and claims.
Same prompt, different answer: AI tools vary their output. Test a prompt on several real cases before you rely on it.
Confidential information: treat a prompt like an email to an outside supplier. If you would not email it, do not paste it.
Writing prompts systematically, with tests and templates, is called prompt engineering.