2.6 – Changing Writing Style Lesson

Lesson Overview

Changing the writing style of AI-generated text is an effective use of prompt priming. By providing a sample of text—your own or someone else’s—you can “train” a tool like ChatGPT to mimic a specific style or tone in its responses. This technique isn’t complicated, but it requires careful setup: you ask the model to analyze a block of writing, not to output anything immediately, just to learn its style. Once it confirms the analysis, you then prompt it to create new content in the same voice.

This lesson sits at the intersection of personalization and efficiency in AI usage. It’s particularly useful for those who want their AI outputs to feel consistent with an established style (such as in brand communications, recurring newsletters, or personal projects). You’ll see how providing a larger text sample (like 1,000 words) can improve results, and how the model responds with a summary of the style before generating new content.

Understanding this technique is helpful for professionals and individuals who need their AI assistance to sound more like “them”—bringing authenticity and brand alignment to AI-powered writing.

Who This Is For

Anyone looking to personalize AI-generated writing or make the model’s output fit a specific style will benefit from this lesson, including:

• Content creators wanting to maintain a consistent voice across articles
• Marketers aiming to match brand tone in campaigns or emails
• Educators looking to standardize the style of instructional materials
• Small business owners crafting messages or blogs in their established voice
• Anyone interested in mimicking another author’s style for creative purposes
• Teams needing AI outputs that reflect organizational tone or guidelines

Where This Fits in a Workflow

Teaching AI to adopt a particular style is often done early in the content creation process, after identifying your preferred tone but before generating larger volumes of text or launching public-facing communications. You’ll typically use this method when:

• Drafting blogs, emails, or scripts that need to sound authentic or branded
• Preparing template responses that should sound friendly, professional, or otherwise specific

For example, a marketer may give the AI a sample from the company’s previous campaigns, then ask it to draft new social media content in the same style. An educator may train the model on a syllabus and then request custom lesson summaries aligned with their tone. In both cases, this lesson’s approach ensures output consistency before publishing or sharing content.

Technical & Workflow Benefits

Traditionally, getting AI to mimic a particular voice would require manual rewriting or repeated editing, and often produced inconsistent results. With prompt priming, you can achieve much more consistent tone, reduce time spent editing, and ensure your output aligns with your expectations from the beginning.

For example, instead of rewriting every AI draft to sound “on brand,” you give the model one strong example, and it adapts its next responses automatically. In fast-paced environments—like content marketing, customer support, or regular blogging—this approach means less time spent on corrections and a quicker turnaround for polished results. While AI-generated style is not always perfect, the improvement in initial outputs can significantly cut down revision cycles and help keep communication quality high.

Practice Exercise

To try out style priming in action, use a recent blog post, article, or a page of your own writing (around 1,000 words is optimal) as your sample. Then:

1. Copy your text sample and prompt ChatGPT (or a similar tool) to analyze it for writing style and tone, without asking for any immediate output.
2. Once ChatGPT confirms it has learned the style, follow up with a prompt to write a short article (for example: “Now write a summary of the benefits of generative AI using the writing style and tone you just learned.”)
3. Compare the AI’s output to your original sample. Which tone, word choices, or phrasing match well? Are there aspects that need further refinement or a new example?

This reflection will help you see how well the process works, and where further prompting or adjustments might be useful.

Course Context Recap

This lesson builds on your understanding of prompt priming, showing how to train generative AI models to write in specific voices. Previous topics covered the basics of prompt priming for different applications, and here, you apply it directly for writing style changes. The concepts explored here prepare you for the next lesson, where you’ll learn how to revise prompts for even better control over AI outputs. Continue through the course to master advanced prompt techniques and bring more precision to your generative AI results.