Improving Your AI's Performance in Dutch

A practical guide to optimizing LLM output in the Dutch language

Many Large Language Models (LLMs) are primarily trained on a massive amount of English data. As a result, the Dutch output can sometimes sound unnatural, stiff, or contain outright translation errors (Anglicisms). Fortunately, you can significantly improve the quality of the Dutch output with the right system prompts, style instructions, and conscious guidance.

1. The Power of a Dutch System Prompt

The system prompt is the foundation of every interaction. By explicitly instructing the model to communicate in fluent, idiomatic Dutch, you prevent it from falling back on literal translations from English.

You are an experienced Dutch copywriter and editor. You always communicate in fluent, natural, and correct Dutch. You avoid literal translations from English (Anglicisms), use an active sentence structure, and apply the appropriate tone and register based on the context.

2. Setting Tone and Register

The Netherlands has specific social norms regarding politeness, directness, and professionalism. While Americans often opt for exuberant enthusiasm ('amazing', 'game-changer'), the Dutch business market prefers down-to-earthness and clarity.

3. Common Dutch Mistakes Made by Models

When you notice an AI struggling with Dutch, you often see the same patterns recurring:

4. Practical Tips for Daily Use

Want to see immediate results in your prompts? Use the following rules of thumb: