You’ve got ChatGPT or another AI tool at your disposal. You’ve asked it a few things. Sometimes it gives you exactly what you need. Other times, it produces gibberish that’s no use to anyone. The difference between those two outcomes often comes down to one thing: how you asked.
Prompt engineering is the art and science of communicating with AI to get the results you want. It’s not about learning to code or understanding complex algorithms. It’s about learning to ask questions the way an AI understands them. And for Irish business owners, getting this right can save hours every week.
Why Most People Get Poor Results From AI
The most common mistake business owners make is treating AI like a person. You wouldn’t walk into a builder’s provider and say “I need some stuff for a job.” You’d specify the materials, quantities, and delivery date. AI works the same way. Vague questions get vague answers.
As Lilian Weng, a leading AI researcher at OpenAI, explains in her comprehensive guide to prompt engineering, the core principle is about alignment and steerability — making sure the model understands not just what you want, but how you want it delivered. The same question phrased two different ways can produce wildly different results.
The Four Essentials of Good Prompting
Based on the latest research in prompt engineering, here are the four things every Irish business owner should know:
1. Be specific about the format. Instead of “Write an email to a client,” try “Write a professional email to a client in Dublin who has delayed payment on invoice #1042. Keep it polite but firm. Maximum three short paragraphs.” The more you specify format, tone, and length, the better the output.
2. Give it a role. AI models perform significantly better when you assign them a persona. Try starting with “You are an experienced Irish small business accountant” or “Act as a senior project manager in construction.” This narrows the model’s focus and dramatically improves relevance.
3. Provide examples. This technique, called “few-shot prompting,” is one of the most powerful tools in prompt engineering. Show the AI what good output looks like. For example: “Here’s a good quote I sent last week [paste quote]. Now write a similar one for this job description [paste details].” The model will mirror the style and structure you provided.
4. Break complex tasks into steps. Instead of asking the AI to do everything in one go, guide it step by step. First: “Summarise these customer notes.” Then: “Draft a follow-up email based on that summary.” Then: “Check the email for any overly complex language.” Each step builds on the last, and the output gets better at every stage.
Common Pitfalls to Avoid
Prompt engineering is experimental. What works for one model may not work for another. The research community has found that the effectiveness of prompting techniques varies significantly between different AI models. So don’t assume a technique that works in ChatGPT will work the same way in another tool.
Another common mistake is including irrelevant details. Extra information confuses the model and dilutes the important parts of your request. Keep prompts concise and focused on what matters for the task at hand.
Finally, don’t be afraid to iterate. The best AI users treat every interaction as an experiment. If the first response isn’t right, adjust your prompt and try again. Over time, you’ll develop a feel for what works with the specific tools you use day to day.
Prompt engineering is an empirical science, as Weng puts it. There’s no magic formula. But for Irish business owners willing to invest a little time in learning the basics, the payoff is AI that actually works the way you need it to.