To learn how to give chatgpt examples, you simply need to paste your sample texts directly into your prompt and label them clearly. By using clear tags like "Example 1" and "Example 2" before your main instruction, you show the AI the exact style, tone, and format you want. This approach, often called few-shot prompting, is the most reliable way to get consistent writing from an artificial intelligence tool.

It is incredibly frustrating to ask an AI for a professional email or a blog post, only to receive a reply that sounds stiff, robotic, or completely off-brand. You can spend hours tweaking your descriptive adjectives, but the tool still fails to capture your unique writing voice.

Why you should learn how to give chatgpt examples

Giving the AI concrete examples of your work is the fastest way to get matching results. Instead of trying to describe your writing style with vague words like professional or engaging, you simply show the AI what you have already written.

When we write, we use subtle rhythms, specific sentence lengths, and unique formatting choices. An AI cannot guess these patterns from a simple list of guidelines. When you provide actual samples, the AI analyzes the underlying patterns automatically. It looks at how you open your paragraphs, where you place your transitions, and how you close your thoughts. This saves you from writing long, complicated lists of rules that the AI might ignore anyway.

Furthermore, using examples prevents a common issue known as style drift. This is when the AI starts off writing in your voice but slowly drifts back into its default, generic tone as the conversation continues. By anchoring your prompt with a physical example, you give the AI a permanent reference point that it can return to whenever it gets off track.

When you write instructions like "make it friendly but professional," those terms are highly subjective. Friendly to one person might mean using lots of emojis, while to another it means writing in a polite, conversational tone. An AI has to guess which definition you prefer. An example removes this guesswork entirely. By showing the AI exactly how you address your readers, how you structure your arguments, and how you transition from one point to the next, you align your expectations with the tool's output. This is the difference between giving a builder a list of adjectives and giving them a physical blueprint.

How to format your examples for the AI

You can format your examples by using simple labels and clean spacing to separate your instructions from your sample text. Using capital letters, brackets, or markdown code blocks helps the AI understand where your example begins and ends.

You do not need to know any computer programming to format your prompts beautifully. The secret is clear visual separation. If you run all your text together, the AI might get confused about which part is the instruction and which part is the sample. You can use simple dividers like three dashes, hash symbols, or clear labels like "START OF EXAMPLE" and "END OF EXAMPLE".

Using delimiters is especially important because it helps the AI differentiate between the metadata of your prompt and the core content. For example, if your sample text contains the word "write" or "create", an unformatted prompt might cause the AI to mistakenly execute the commands inside your example instead of processing the example as a template. Clean formatting acts as a protective container around your data.

Let us look at a comparison of how this works in practice.

Weak prompt

Write a newsletter about our new software feature. Make it sound like this: Hey team, we just launched the new update! It is super fast and will save you time. Let me know what you think.

Stronger prompt

You are a friendly internal communications specialist. Your task is to write a short product update newsletter.

Please study the example below to understand the tone, sentence structure, and formatting.

### EXAMPLE START ###
Subject: A quick update on our design workflow

Hey team,

We just rolled out the new layout editor today. It simplifies how we build pages and cuts down our rendering times.

Here is what you need to know:
- The sidebar is now collapsible.
- You can drag elements directly from your desktop.

Give it a spin and let us know what you think on Slack!

Cheers,
The Design Team
### EXAMPLE END ###

Now, write a newsletter about our new 'Auto-Save' feature. Use the exact same layout, friendly tone, and brief bulleted style as the example above.

As you can see, the stronger prompt leaves absolutely no room for confusion. The AI knows exactly where the example starts, where it ends, and what part it is supposed to copy.

What makes a good example for the AI

A good example is one that perfectly represents the final quality, length, and structure you expect. If your example contains errors, spelling mistakes, or a messy layout, the AI will copy those mistakes in its response.

Always select examples that represent your best work. If you are asking for a customer service email, do not use a rushed message you sent on your phone as your template. Take a moment to polish the example first. It is also helpful to provide examples that match the length of the output you want. If you provide a three-page article as your sample but ask for a one-paragraph social media post, the AI will struggle to scale down your style accurately.

Here is a quick checklist you can use every time you prepare a sample for your prompts.

Checklist for choosing examples

  • Relevance: Is the example the same type of content you want to create?
  • Quality: Is the writing completely free of typos, grammar errors, and awkward phrasing?
  • Length: Is the sample roughly the same length as your desired output?
  • Structure: Does it use the headings, bullet points, and spacing you want to repeat?
  • Tone: Does it capture the exact attitude and vocabulary of your brand?

A step-by-step example for a complex task

To apply examples to a complex task, break the project down into individual steps and provide a sample for each part of the process. Trying to guide a multi-step project with a single, massive prompt often leads to poor results.

Let us look at a real-world scenario. Imagine you want to turn a raw transcript of an interview into a polished case study. This is a complex, multi-step task. If you ask the AI to do it all at once with a generic instruction, the result will probably be generic. Instead, you should break it down.

First, you might ask the AI to extract the key points in a specific format. Second, you ask it to write the introduction. Third, you ask it to draft the customer quotes. At each step, you feed the AI an example of what that specific output should look like.

A great prompt does not just tell the AI what to do, it shows the AI how to do it.

This is where a structured prompting strategy makes all the difference. When you are not sure how to break down a large project, or if you do not know what questions to ask to build a strong template, specialized tools can help. If you find yourself struggling to design these templates, you can use the structured prompt creator at The Prompt Engineer to automatically generate tailored, copy-and-paste prompts that ask you for the exact details and examples needed for your specific goal.

Common questions

How many examples should I give the AI?

In most cases, one or two high-quality examples are more than enough to guide the AI. Giving too many examples can confuse the tool or cause it to hit its memory limits, while a single perfect sample provides a clear pattern to follow.

Can I use examples for non-writing tasks?

Yes, you can use examples for data formatting, analysis, code creation, and even image generation instructions. For instance, you can show the AI a raw list of names and how you want them formatted into clean spreadsheets, and it will follow that pattern perfectly.

What if I do not have a good example yet?

If you do not have an example, you can write a short, fictional version of what you want first, or ask the AI to generate three different style options based on a description. Once you find a style you like, you can save that output and use it as your permanent example for future tasks.

Does the AI remember my examples in a new chat?

No, the AI starts with a clean slate every time you open a new conversation window. If you want the AI to remember your writing style, you will need to paste your examples into the first prompt of each new chat session.

The short version

  • Show, don't tell: Give the AI actual text samples instead of listing adjectives to describe your style.
  • Use clear labels: Separate your instructions from your examples using tags like ### EXAMPLE START ### and ### EXAMPLE END ###.
  • Pick clean samples: Only use examples that are free of errors and match the exact length and tone you want.
  • Break up complex tasks: Provide separate examples for each step of a multi-step project instead of cramming everything into one prompt.

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