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ChatGPT-Prompts optimieren: Best Practices für Unternehmen - Groenewold IT Solutions

Optimize ChatGPT prompts: best practices for companies

Software development • 9 February 2026

By Björn Groenewold3 min read
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In today's digital landscape, the integration of artificial intelligence (AI) has become a decisive competitive advantage for companies of all sizes. In particular, use ...

Digitalization is not an IT project—it is a business strategy.

Björn Groenewold, Managing Director, Groenewold IT Solutions

> Key Takeaway: Companies achieve better ChatGPT results through three techniques: context-rich system prompts with role instructions, few-shot learning with concrete examples, and chain-of-thought prompting for complex tasks.

Standardized prompt libraries per department ensure consistent quality across the team.


In today's digital landscape, the integration of artificial intelligence (AI) has become a decisive competitive advantage for companies of all sizes. In particular, the use of advanced language models such as ChatGPT has the potential to revolutionise business processes, increase efficiency and open up new innovation opportunities.

But the success of a ChatGPT integration company depends significantly on the quality of the instructions given to the AI – the so-called prompts. In this post, you will learn how to optimize your ChatGPT prompts to exploit the full potential of this technology for your company.

What are prompts and why are they so important?

Short: A prompt is essentially an instruction or a question that you ask to an AI like ChatGPT.

A prompt is essentially an instruction or a question that you ask to an AI like ChatGPT. It serves as a bridge between human intention and mechanical execution. The quality of the prompt has a direct influence on the quality of the response generated by the AI.

A vague or unclear prompt often leads to generic or irrelevant results, while a precise and well structured prompt leads to high-quality, relevant and useful content.

The ability to formulate effective prompts is therefore not a technical game, but a decisive competence for the successful use of AI in the company.

Well-optimized prompts allow you to use AI specifically for a variety of tasks, from creating marketing texts and analyzing market data to developing software code and automating customer support requests.

Best practices to optimize your ChatGPT prompts

Short: To get the most out of ChatGPT, you should consider some proven methods when formulating your prompts.

To get the most out of ChatGPT, you should consider some proven methods when formulating your prompts. These help you precisely control the AI and achieve results that meet your expectations.

1. Be precise and clear

Avoid ambiguities and formulate your instructions as specific as possible. Instead of asking “Write a text about our new product”, you should provide detailed information about the product, the target group and the desired style of the text.

  • Save Prompt: Create a marketing text for a new software tool.
  • Guter Prompt: Create a convincing marketing text for our new project management software “TaskMaster”. The target group is small and medium-sized enterprises. Create user-friendly interface, time saving and cost-effective subscriptions. The sound should be professional but accessible.”

2. Specify context

The more context you provide the AI, the better it can understand your request and generate a relevant response. Explain the background, target and relevant cream

References and further reading

Short: The following independent references complement the topics in this article:

The following independent references complement the topics in this article:

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About the author

Björn Groenewold
Björn Groenewold(Dipl.-Inf.)

Managing Director of Groenewold IT Solutions GmbH and Hyperspace GmbH

For over 15 years Björn Groenewold has been developing software solutions for the mid-market. He is Managing Director of Groenewold IT Solutions GmbH and Hyperspace GmbH. As founder of Groenewold IT Solutions he has successfully supported more than 250 projects – from legacy modernisation to AI integration.

Software ArchitectureAI IntegrationLegacy ModernisationProject Management

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