10 common mistakes when prompting

1. Vague and unclear prompts (garbage in, garbage out)

If your instruction is too general, the AI can only guess what you want. Be as specific and precise as possible to get the results you want.

2. Lack of context

Without sufficient background information, the AI lacks the necessary knowledge to provide a relevant response. Always provide it with all necessary details, data, or previous conversations.

3. Too many complex tasks at once

Attempting to solve a multifaceted task in a single, massive prompt often leads to incomplete or confusing results. Break down complex requests into several logical, sequential steps.

4. Chat histories that are too long

An excessively long chat history overloads the AI’s “memory,” causing it to lose track of the original context. This leads to unusable answers and the invention of facts (“hallucinations”); therefore, it’s better to start a new chat for new, complex topics.

5. Not specifying the output format

If you don’t specify how the response should look, the AI will provide a default format that may not suit your purpose. Always specify whether you need a table, a list, continuous text, or a code block.

6. No iteration and refinement

The first prompt is rarely perfect, especially for new or complex tasks. Think of prompting as a dialogue where you gradually arrive at the optimal result through targeted feedback and adjustments.

7. Unrealistic expectations

Don’t expect every first attempt to deliver a perfect result right away, because prompting is a craft that requires practice. Be patient with yourself and the AI, and view the interaction as a learning process where you gradually improve your skills.

8. Blind trust in the output

An AI can make mistakes, use outdated information, or invent facts, so it is not an infallible oracle. Always carefully verify critical information and figures before using them further.

9. Untapped creative potential

Many users treat AI like a simple search engine and only ask knowledge-based questions. Harness its full potential by also using it for creative and analytical tasks such as brainstorming, adopting different perspectives, or developing concepts.

10. Missing Negative Instructions

It is often just as important to tell the AI what not to do as it is to tell it what to do. Use precise restrictions such as "Avoid jargon" or "Summarize the text without mentioning the names of those involved" to narrow down the results in a targeted manner.