How to use ChatGPT to improve your creative process

Giant construction cherry picker assembling the words "Make me all the things"

When ChatGPT came on the scene, many creators were scared. Here was a chatbot who could write blog posts, song lyrics, poems, even podcast and video scripts. What was the point of being creative anymore? 


How to create faster, better, more creatively with AI

Get our Creator's Guide to AI and you’ll get:

  • Our report on how creators are using AI tools
  • Tips for using AI tools to bolster your creativity
  • A look at how successful creators are using generative AI in their workflows
  • Our guidance for getting started with AI, if you're one of the holdouts

Download now


If you’ve felt that way, this article might be reassuring. The truth is that generative AI tools like ChatGPT can actually improve your creative process by sparking new ideas, saving you time on tedious tasks, and providing valuable revisions to your work — as long as you use it right. The key to effectively using ChatGPT is mastering the art of prompt engineering; that is, crafting the right question to get a useful response. It may take some practice to perfect, but once you master it, it can supercharge your creativity. Here’s how to do that.

Record or import audio, make edits, add fades, music, and sound effects, then publish online, export the audio in the format of your choice or send it directly to your hosting service.
Create your podcast from start to finish with Descript.

The basics: threads and memory

ChatGPT is what’s called a large language model, and it’s just one of many out there. In order to "ask" a large language model to generate text, you need to provide a text input called a prompt. 

ChatGPT works as a back-and-forth between the user and the AI, just like a conversation. And just like a chat with a friend, ChatGPT "remembers" information that you told it so it can be referred to later. The interface also allows for multiple conversations to happen at the same time through different threads, which makes it easy to work on multiple projects at once.

Prompting essentials: just ask

For many common tasks, ChatGPT will generate text that correctly matches your prompt without any extra information or examples to work from. It might seem like magic, but the magic is really a reflection of how the AI was built. The AI was trained on millions of examples of text, and as a result, it can complete a ton of different tasks super accurately. 

For example, you can ask ChatGPT to write an introduction for a podcast, or provide a list of ideas for a blog post. It understands all the common ways of requesting the same thing too: you can either prompt using a question or you can state the task you want ChatGPT to accomplish. That's it.

Prompting ChatGPT with a question
Prompting ChatGPT with a command

Getting specific

Using general prompts can give you a nice overall result, but it can end up sounding too generic and bland. To spice it up, try to get specific about what you want the AI to generate. You can give details about many different factors including length, tone, style, or intended audience, or you can exclude themes by specifying what you don't want.

Prompting ChatGPT to write in specific styles and tones
Prompting ChatGPT to write in specific styles and tones

To shortcut the descriptors, you can use the name of a specific person in the prompt rather than describing the style.

Prompting a text style from ChatGPT with an example of the audience
Prompting a text style from ChatGPT with the name or description of a person doing the writing

If your prompt isn't giving you the results you want, try to find a different way of wording your prompt. That can be either by giving a different context or describing the task differently. A little bit of experimentation can help you get it right.

Chatting with ChatGPT

So far, there hasn’t been much “chatting” with ChatGPT. But the way this chatbot is built actually allows you to have full fictional conversations with basically anyone you’d like. Think: talking to your main character or asking your favorite author for help on your story. 

One of the most powerful features of ChatGPT is its conversational style. You can ask it to talk you through challenges you're having with your writing, provide suggestions, and summarize your ideas. You can also ask ChatGPT to explain the reasoning behind the suggestions it gives and let it reveal new ways your story could flow.

ChatGPT can also chat as a specific character instead of as itself. Just describe a character for ChatGPT to play and tell it to begin a conversation as that character. You can ask the AI to mimic a historical figure or a character you describe, or give it a profile of your typical audience to brainstorm some ideas.

Prompting ChatGPT for character ideas, then asking it to chat from the point of view of one of those characters
Chatting with a character through ChatGPT
Chatting with a character through ChatGPT
Chatting with a character through ChatGPT

Since ChatGPT can refer back to earlier parts of the conversation, you can also provide more guidance during the conversation to flesh out ideas with as much detail as you want.

Complicated cases

For more challenging or specialized tasks, you can provide examples to ChatGPT. These prompts, known as one-shot or few-shot prompts, allow you to replicate a specific style, such as matching a brand's voice or a host's speaking style.

To set up your prompt, you have a few different options. If you have several examples, you can start each one with "Example #", and then just end your prompt with the next example number. ChatGPT will figure out the specific style you want to mimic.

Getting ChatGPT to mimic a style by providing examples

Another option is to describe the output you want before providing the examples. ChatGPT will blend its understanding of the description with the examples, resulting in a combination of the two. 

But tone is tough to nail, even for an AI that’s learned from millions of examples. If you're asking to match a specific tone, editing will almost always be required.

Iterative prompting

Another way to tackle complex tasks is by starting with a general prompt, and then gradually refining it to be more specific — an approach known as iterative prompting. For example, you might start by generating a general list of ideas and then, when you find one that you like, narrow the prompt to generate more ideas in that vein.

A general prompt for podcast episode ideas
You can ask ChatGPT for "more ideas" and it will remember the ideas it already gave you
Narrowing down your prompt to be more specific can result in more relevant results
The #6 ChatGPT result for "true crime podcasts that don't involve murders" inspired the user to ask about ideas for a true crime podcast about female con artists.

In a case where you’re trying to match a tone or style, you can first prompt ChatGPT to generate an example with no guidance, and then prompt the AI to edit the text for tone or style. That will let you gradually refine the text to get the result you want.

ChatGPT "remembers" the prompts you previously gave, but it's not perfect: sometimes it gets confused about the context. To avoid this, you can include the generated text directly in your prompt. You can also edit ChatGPT's output and include that in your prompt to make it even more precise.

Suggestions and editing

ChatGPT can also be a robo-editor. You can ask it for general improvements to the text you input and it’ll adjust the writing to remove common flaws such as grammar, spelling, and punctuation issues, and to improve clarity, flow, and conciseness. You can also ask it to edit your work for a specific quality, tone, or style; ask it to add additional sensory details; expand a section to improve pacing; or make the text more concise.

But you don’t have to blindly trust the robot. After ChatGPT suggests edits, you can ask it to detail what changes it made and it’ll provide justification for everything it did to your work. From there, you can accept or reject its suggestions.

If ChatGPT doesn't return the tone and style you're looking for, you can ask for edits.
ChatGPT can explain its edits upon request.

When prompting ChatGPT to rewrite lengthy text, the token limit will cut off the end of the text generated. When that happens you can just use the prompt "continue."

Common challenges: truthfulness and recentness

There are a few common challenges to working with ChatGPT. Because large language models like ChatGPT work statistically, they don't have a sense of truth. That means that fact-checking should always be a part of your process working with ChatGPT. Make sure you double-check its answers using your own research.

Not only that, but large language models like ChatGPT also take a long time to train, so its knowledge is always a little out of date. As a result, ChatGPT can struggle when you ask it about something recent.

Final thoughts

ChatGPT and other AI tools can be incredibly useful for creatives. They can bring new life to shelved projects, get you through creative blocks, and help speed up tedious tasks, allowing you to focus on the more impactful aspects of your creative work. 

ChatGPT has a vast knowledge base that lets it tackle a wide range of tasks with precision. Once you master the art of crafting the right "ask" to get a useful answer, it’ll become a powerful and versatile tool that can take your creative work to new heights.

Epilogue: How I used ChatGPT to help with this article

I first wrote the outline for the article based on research into how others have been using ChatGPT and on my experience with using ChatGPT. I've found that writing the outline first before going to ChatGPT for suggestions helps me refine what points I want to get across before the AI starts hitting me with any new ideas. It makes the process faster because I already have conviction about what I want to say and it's easier to vet the ideas that ChatGPT comes up with after I've got the perspective figured out.

I next asked ChatGPT to generate ideas and tips about what should be included in the article given the basic premise of the article but not including my outline. I used two different prompts and generated a total of 30 suggestions. The suggestions fell into four groups:

  • Irrelevant: Many of the suggestions were irrelevant since they related to GPT-3 (since ChatGPT's training set doesn't have anything about itself in it)
  • Boring: Some suggestions were so generic that I didn't feel that they warranted including.
  • Duplicated: ChatGPT generated a few ideas that I had already covered in the outline.
  • Sparks: ChatGPT generated an idea that I had touched on briefly in the outline, but its justification made me realize that the point was more important than I had initially thought. I fleshed out the outline to bring that point out more prominently and explicitly in the text.

It turned out that ChatGPT missed about half of the points that I considered important, so if I had only used ChatGPT's suggestions I would have been missing a number of relevant points.

I wrote the first draft of the article, and then, when I was happy with the overall structure and flow, I asked ChatGPT to edit it section by section. First I asked it to improve the text generally. It corrected a few grammar and punctuation issues, and made some good suggestions to improve the clarity and conciseness. I thought most of its edits for conciseness were too abrupt so I rejected almost all of the suggestions it made that significantly shortened the text. I also felt some of its edits made the text much too formal and so I rejected a lot of the suggestions it had that overcomplicated the text. There were a few parts where it did a good job of improving the pacing, so I kept those edits.

Overall I think the process made it a better piece in a few different ways. The scope improved with its suggestion of a new(ish) idea, and the pacing, clarity, and flow ended up better after some of its suggested edits. However, if I would have used it without having a strong conviction about the perspective of the article and blindly used its suggestions, the piece would have turned out much worse.

Featured articles:

No items found.

Articles you might find interesting


12 best practices for remote recording podcasts

You can capture high-quality audio from anywhere in the world that sounds like all of the speakers were sitting in the same recording studio. Here are some best practices to keep in mind.

Other stuff

The 18 Best Educational Podcasts: Just Click Play to Learn

There is a wide range of informative podcasts to help you become the most interesting person at your next happy hour. Find out our top 18 picks of topics and find something new to listen to.

AI for Creators

Deepfakes: Why podcasters are at risk and how to protect yourself

In this article, you’ll learn the risk podcasters face by creating a consistent audio collection of their voice, how they can attempt to protect themselves, emerging ways to monitor for deepfakes, and what to do if you ever find a deepfake of your voice on the internet.

Related articles:

Share this article

Get started for free →