The quality of your prompts determines the quality of the AI responses. With the right techniques, you can get significantly more out of ChatGPT, Microsoft Copilot, and other AI tools – whether for text generation, data analysis, or code creation.
The 10 Most Important Tips
1. Be Specific
Vague instructions lead to vague answers. Instead of "Write a letter," phrase it as "Write a formal cover letter to a Swiss business client who has requested a quote for IT consulting. Tone: professional, length: 200 words, language: German with Swiss spelling."
2. Provide Context
The more background information the AI receives, the better the result. Describe your industry, target audience, and the purpose. "I am the IT manager of a Swiss SME with 150 employees and need..." delivers significantly better results than a context-free prompt.
3. Define the Format
Explicitly state how the output should be structured: bullet list, table, JSON, prose with subheadings, or code with comments. The AI reliably follows format instructions and saves you post-processing time.
4. Use Examples
Few-Shot Prompting – that is, providing one to three examples – drastically improves quality. Show the AI a pattern of your desired output, and it will replicate the style, structure, and level of detail.
5. Iterate
Rarely is the first prompt perfect. Gradually refine: "That was good, but shorten it to 100 words and focus more on cost savings." Iterative prompting systematically leads to the optimal result.
6. Be Direct
Avoid polite phrases and get straight to the point. "Please, would it be possible..." wastes tokens. Direct instructions like "Create," "Analyze," or "Compare" yield more precise results.
7. Use Roles
Assign a role to the AI: "You are an experienced SharePoint architect with 15 years of experience in Swiss companies." Role-based prompts activate domain-specific knowledge and generate more professionally grounded responses.
8. Break Down Complex Tasks
Instead of solving a complex task in one prompt, break it down into smaller steps. Chain-of-Thought Prompting ("Think step by step") significantly improves quality in analytical and computational tasks.
9. Verify the Results
AI can hallucinate – especially with facts, numbers, and citations. Always verify critical information. Use prompts like "Are you sure about these numbers? Name your sources." for self-reflection.
10. Document Successful Prompts
Create a prompt library for your team. Proven prompts for recurring tasks – such as meeting minutes, code reviews, or customer communication – save time and ensure quality.
Conclusion
Good prompt engineering is a learnable skill that massively increases the ROI of your AI investments. Companies that train their employees in prompting report productivity increases of up to 40%. CNEXT offers tailored prompt engineering workshops for Swiss companies.