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    Guide
    Beginner
    ChatGPT
    Writers and Marketers
    Southeast Asia

    Humanising Your AI Prompts for Better Responses

    AI Prompting; Communication; Marketing

    AI Snapshot

    The TL;DR: what matters, fast.

    • Add context and emotion to prompts
    • Specify tone and audience
    • Revise prompts based on feedback

    Perfect For

    Marketers, writers and anyone who wants to get better AI-generated content by improving their questions.

    The phrase 'humanise this prompt' gained popularity, reflecting the desire for more natural and empathetic AI responses. A well-crafted prompt yields better results.

    Why Humanising Prompts Matters

    AI responds literally to the text provided; adding context, emotion and a clear audience helps generate more relatable and accurate outputs.

    Framework: Context → Emotion → Tone → Outcome

    First, set the context; second, express the desired emotion; third, specify the tone; and fourth, describe the intended outcome.

    Common Mistakes and How to Fix Them

    Mistakes include vague or generic prompts, missing critical information and ignoring audience. Fix by adding detail, specifying tone and iterating.

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    Prompts

    Rewrite for Empathy

    Rewrite a bland prompt

    Take the prompt ‘Write a product description for a mug’ and rewrite it to include context, emotional appeal and a clear call to action.

    Tone Specification

    Set tone

    Ask an AI to write a thank-you note to a mentor. Specify the desired tone as warm and professional, and provide relevant context.

    Prompt Revision

    Improve a prompt

    Analyse this prompt: ‘Explain climate change.’ Suggest three improvements to make it more specific and human.

    Frequently Asked Questions

    Ready to experiment?

    Pick one of these prompts and see where it takes you. The interesting bit is not just getting results - it is discovering what happens when you tweak the parameters or combine different approaches. If you end up with something unexpected (whether that is brilliantly unexpected or amusingly terrible), we would genuinely love to see it.

    Share your results, your variations, or the weird tangents you went down trying to get things just right. That is often where the best insights come from: the collective trial and error of people actually using these tools in practice.

    And if you found this useful, we have got plenty more practical how-to guides covering everything from creating images for your blog to helping you automate boring work tasks. Each one is built the same way: real techniques, actual examples, no fluff.

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