Creating Personalised Content with ChatGPT

Learning Objectives

By the end of this chapter, you'll be able to:

• Set up personalisation prompts that reflect your unique voice and style
• Apply editing techniques to make AI output sound authentically human
• Build a consistent personalisation framework for all your content needs

Introduction

AI tools like ChatGPT can churn out content at lightning speed, but there's a catch. Without the right approach, everything sounds like it came from the same robotic factory. This chapter shows you how to inject personality, authenticity, and your unique voice into AI-generated content.

You'll learn practical prompt engineering techniques and editing strategies that transform generic AI responses into content that truly sounds like you. Whether you're creating blog posts, emails, or social media updates, these methods will help you maintain consistency while saving time.

Lessons

Understanding AI Personalisation Basics

Before diving into techniques, you need to understand what makes AI content feel personal versus generic. The difference lies in how you frame your requests and refine the output.

Step 1: Define Your Content Requirements
Start by identifying exactly what you need. Are you writing a blog post, customer email, or product description? Each format requires different personalisation approaches.

Step 2: Establish Your Voice Attributes
List 3-5 key characteristics that define your communication style. Examples might include: conversational, direct, uses British humour, includes practical examples, or speaks to beginners.

Step 3: Create Your Baseline Prompt Structure
Build a template that includes your voice attributes, content type, and specific requirements. For example: "Write a friendly, conversational blog introduction for beginners about [topic]. Use short sentences, include a practical example, and avoid jargon."

Prompt Engineering for Authentic Voice

The secret to personalised AI content lies in your prompts. Generic prompts produce generic results. Specific, voice-driven prompts create content that sounds like you.

Step 1: Include Voice Modifiers in Every Prompt
Add descriptive terms that capture your style. Instead of "Write about email marketing," try "Write about email marketing in a friendly, no-nonsense tone that speaks directly to small business owners."

Step 2: Provide Context and Examples
Give ChatGPT context about your audience and include examples of phrases you'd typically use. This helps the AI understand your communication patterns.

Step 3: Specify Format and Structure
Be explicit about how you want information presented. Do you prefer bullet points, numbered lists, or flowing paragraphs? Do you like short, punchy sentences or longer explanations?

Step 4: Request Specific Language Patterns
Ask for particular sentence structures, transitions, or stylistic elements. For example: "Use varied sentence lengths, include rhetorical questions, and add a conversational aside in brackets."

Editing AI Responses for Authenticity

Even the best prompts need human editing. This is where you transform good AI output into content that truly represents your voice.

Step 1: Read Aloud Test
Read the AI response out loud. Does it sound like something you'd actually say? Mark any phrases that feel awkward or unnatural.

Step 2: Replace Generic Phrases
Scan for overused AI phrases like "it's important to note," "furthermore," or "in conclusion." Replace these with expressions you'd naturally use.

Step 3: Add Personal Touches
Include personal anecdotes, specific examples from your experience, or references that resonate with your audience. These details make content feel genuinely yours.

Step 4: Adjust Rhythm and Flow
Vary sentence lengths and structures. Mix short, punchy statements with longer explanations. Add pauses, emphasis, and natural speech patterns.

Step 5: Inject Personality Markers
Add elements that reflect your personality: humour, specific analogies, favourite expressions, or unique perspectives on common topics.

Building Your Personalisation Framework

Create a systematic approach to ensure consistency across all your AI-generated content.

Step 1: Document Your Voice Guidelines
Write down your key voice characteristics, preferred phrases, words to avoid, and typical sentence structures. Keep this handy for reference.

Step 2: Create Prompt Templates
Build reusable prompt templates for different content types. Include your voice modifiers, format preferences, and audience specifications.

Step 3: Develop an Editing Checklist
Create a standard checklist covering voice consistency, authenticity markers, and common AI phrases to remove or replace.

Step 4: Test and Refine
Regularly review your output and adjust your prompts and editing approach based on what works best for your style and audience.

Practice

Create a prompt asking ChatGPT to write a welcome email for new course members. Include specific voice characteristics (friendly, encouraging, direct) and format requirements (short paragraphs, bullet points for key information).

After receiving the AI response, edit it using the techniques from this chapter. Focus on making it sound like something you'd personally write to a friend who just joined your course.

FAQs

How do I know if my AI content sounds authentic enough?
Use the "would I say this?" test. If you wouldn't naturally speak or write those exact words, keep editing until it feels right.

Can I use the same personalisation approach for different content types?
Your core voice should remain consistent, but adjust formality and structure based on the content type. A blog post can be more casual than a client proposal.

How much editing should I expect to do on AI responses?
Initially, expect to edit 30-50% of AI output. As you refine your prompts and develop your framework, this will decrease significantly.

What if I'm still not happy with the personalised results?
Try breaking down your requests into smaller, more specific prompts. Sometimes asking for one element at a time produces better results than complex multi-part requests.

Jargon Buster

Personalisation Framework: A systematic approach for consistently applying your unique voice and style to AI-generated content

Voice Attributes: Specific characteristics that define your communication style, such as tone, formality level, and language patterns

Prompt Engineering: The practice of crafting specific, detailed requests to get better results from AI tools

Authenticity Markers: Personal touches, expressions, and stylistic elements that make content sound genuinely human rather than AI-generated

Wrap-up

You now have the tools to transform generic AI output into content that authentically represents your voice. The key is combining thoughtful prompt engineering with careful editing, all guided by a clear understanding of your unique communication style.

Start by defining your voice attributes and building prompt templates for your most common content types. Then practice the editing techniques until they become second nature. Remember, the goal isn't to hide that you're using AI – it's to ensure the final result sounds distinctly like you.

Ready to put these techniques into practice? Join our community of creators who are mastering AI personalisation: https://www.pixelhaze.academy/membership