Prompt engineering is the practice of writing clear, well-structured instructions, known as prompts, to get more accurate and useful responses from AI tools such as Microsoft Copilot or ChatGPT. Because large language models generate responses based on the input they receive, the way a question or instruction is phrased has a significant effect on the quality of the result.
How prompt engineering works
Effective prompts are typically specific about the task, provide relevant context the AI would not otherwise have, and state the desired format, length or tone where that matters. Rather than asking a vague question, a well-engineered prompt might specify the audience, the format required, and any constraints, giving the AI model a clearer target to aim for. This is a skill that improves with practice and does not require technical training to apply effectively in everyday use.
Prompt engineering in practice
- A marketing team gets noticeably better results from Microsoft Copilot by specifying the target audience, tone and word count in their prompt, rather than simply asking it to write a blog post.
- A finance manager asks Copilot in Excel for a specific formula with a clear description of the data layout and the result needed, rather than a vague request to analyse the spreadsheet.
- An operations team trains staff on writing clearer prompts when using Copilot in Business Central, improving the relevance of AI-generated cash flow commentary.
- A customer service lead refines the prompts used in a Copilot Studio agent's topics, improving how accurately the agent responds to common customer questions.
How Advantage helps teams with prompt engineering
Advantage includes practical prompt engineering guidance as part of Microsoft Copilot rollout and training, helping staff get genuinely useful results from day one rather than abandoning AI tools after a few disappointing first attempts.
Frequently asked questions
Is prompt engineering a formal technical skill businesses need to hire for?
For most SMEs, no specialist hire is needed. Basic prompt engineering, being clear and specific about what is wanted, is a skill that can be taught to existing staff fairly quickly. Specialist prompt engineering roles tend to be relevant for organisations building complex, large-scale custom AI applications.
Does better prompt engineering eliminate AI hallucination?
It reduces the likelihood but does not eliminate it entirely. Clear, well-structured prompts help an AI model produce more relevant and accurate responses, but techniques such as retrieval-augmented generation, which grounds answers in verified source data, address hallucination more directly.
What makes a good prompt for Microsoft Copilot?
A good prompt is specific about the task, provides relevant context, and states the desired format or length where it matters. For example, asking Copilot to summarise a document in three bullet points aimed at a senior leadership audience produces a more useful result than simply asking it to summarise the document.
