Prompt Engineering

Master prompting techniques to achieve better outcomes in workflows.

Use clear, direct prompts for clarity.

Guide users toward desired actions.

Apply prompting in decision-making scenarios.

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Introduction

What is a prompt?

In the world of AI, a prompt is simply an instruction or input you give to an AI model to generate a response. Think of it as a question or command that guides the AI towards the output you want. This could be anything from "Write a poem about a cat" to "Translate this sentence into Spanish" or "Generate a code snippet for a login form."  The quality of your prompt directly impacts the quality of the AI's response.   

What is prompt engineering?

Prompt engineering is the process of designing and refining these prompts to get the best possible results from an AI model. It's about understanding how the AI interprets language and then crafting your input in a way that elicits the most accurate, relevant, and creative output.   

Why is prompt engineering important?

As AI becomes more integrated into various tools and applications, prompt engineering is becoming increasingly crucial. It allows you to:

  • Get more accurate results: Carefully crafted prompts reduce ambiguity and help the AI understand your intent.   
  • Unlock creativity: By providing the right constraints and context, you can guide the AI towards more creative and innovative outputs.   
  • Save time and effort: Well-engineered prompts can help you get the desired output faster, reducing the need for extensive editing or re-generation.   
  • Improve efficiency: Prompt engineering can streamline workflows by automating tasks that previously required human input.   
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Five Tips for Effective Prompt Engineering

  • Be clear and specific: Avoid vague language or open-ended questions. The more specific your prompt, the better the AI can understand your needs.   
  • Provide context: Give the AI background information or relevant details to help it generate a more informed response.   
  • Define the desired output: Specify the format, length, or style of the output you want (e.g., "Write a short story in the style of Ernest Hemingway").   
  • Experiment and iterate: Don't be afraid to try different prompts and see how the AI responds. Refine your prompts based on the results you get.   
  • Use prompt engineering tools: There are tools available that can help you generate, test, and optimise your prompts.
  • Prompt engineering is a skill that takes practice, but with these tips, you can start getting better results from your AI interactions.

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    About the author

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    Ewoud Uphof

    I’ve helped B2B service companies scale — not with random tactics, but with clear systems that align marketing and sales into one predictable growth engine. Built on 15 years of hands-on experience — helping teams move from random tactics to repeatable, scalable results.

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