So, a prompt is just a message you send to the AI. It’s the question you ask or the instruction you give. You type it into the box and hit enter. The tool reads it, processes it, and gives you a response.
That’s it. Nothing fancy or technical. It’s like texting a really fast, really smart assistant who never gets tired and always has something to say. If you type “write a blog post about marketing,” that’s a prompt.
If you say, “Give me 10 name ideas for my Etsy shop,” that’s also a prompt. Even something casual like “what’s a good way to explain SEO to beginners?” is a prompt. You don’t need to use perfect grammar or big words.
You don’t need to format it a certain way. You just need to say what you want clearly enough for the AI to understand. That said, not all prompts are created equal. Some give you great results.
Some give you something bland or off-track. The quality of the prompt shapes the quality of the answer. Bad prompts are vague or too short. They don’t give the AI enough direction.
If you say “write something for Instagram,” it doesn’t know what your business is, who your audience is, or what kind of tone you want. The result will feel random and generic.
Average prompts give a little more context but still leave out important details.
If you type “write a post for Instagram about healthy eating,” that’s better—but it’s still missing things like who the post is for, how long it should be, what you want it to sound like, or what goal you have in mind.
Good prompts are clear, specific, and include helpful background. A better version of the prompt above might be: “Write a short Instagram caption about healthy eating for busy moms in their 30s. Make it friendly, casual, and include one quick tip about making school lunches healthier.”
That gives the AI a purpose, a tone, and a target audience. The result will match what you need much more closely. It still might not be perfect, but it’ll be much easier to tweak or use.
Let’s walk through a few simple examples. Suppose you run a pet care business.
Bad prompt:
Write a blog post about dogs.
(The AI won’t know what kind of post. Breed info? Training tips? Funny stories?)
Average prompt:
Write a blog post about how to train a puppy.
(Now it has a direction, but still lacks tone or audience.)
Good prompt:
Write a 600-word blog post on how to train a puppy not to bite. Make it warm, encouraging, and aimed at first-time puppy owners. Include three practical steps and a summary at the end.
(This gives a topic, tone, word count, audience, structure, and goal.)
Another example. Say you’re working on product names.
Bad prompt:
Name my product.
(The AI has no idea what your product is.)
Average prompt:
Give me names for a skincare product.
(Better, but still wide open.)
Good prompt:
Give me 10 name ideas for a natural skincare brand for women over 40. The brand is clean, elegant, and focused on anti-aging. Make the names short and easy to remember.
(This gives all the right clues.)
Once you start writing better prompts, you might notice that the results still need a little adjusting. That’s where follow-up prompts come in. You don’t have to accept the first answer it gives.
You can respond to it the same way you would to a person. If it gives you an Instagram caption and you think, “This is too long,” just type “Can you make it shorter and more casual?” and it will.
If it gives you 10 name ideas and only 3 are good, say, “I liked numbers 2, 4, and 7—give me more like those.” It will try again with that in mind. Think of it like shaping clay. The first response is just the rough shape.
Your follow-ups help carve it into something that fits your vision. You can ask for rewrites, edits, new versions, or something completely different. You can say things like “make it funnier,” “use simpler words,” or “add an example.” The more specific your feedback, the better the next answer will be.
A common worry is getting the AI to sound like you. That’s totally possible—but you have to help it. You can do this by giving examples of how you write. For example, you can say, “Here’s how I write my emails,” and paste a paragraph you wrote.
Then say, “Now write a new one about [topic] in this same style.” If you keep doing that, the AI will learn your tone. It doesn’t remember between sessions unless you’re using a version with memory, like the latest ChatGPT, but even in one conversation, it can match your voice if you give it something to go on.
Another trick is to describe your tone in the prompt. Say things like, “Write this in a casual, friendly tone,” or “Make it sound confident but not salesy.” You can also name a reference, like, “Write this in the tone of someone like Mel Robbins,” or “Make it sound like something you’d hear from a best friend.” The clearer you are, the better the match will be.
Writing good prompts is a skill, but you don’t have to be perfect. You just need to practice. Start small. Try giving a basic prompt, then revise it and see how the answers change.
Keep playing with tone, audience, and purpose. Over time, you’ll get better at asking the right questions. You’ll know what to include and what to leave out. You’ll start to see what the AI needs to give you what you want.
It’s okay to experiment. It’s okay to get weird. Some of the best results come from just trying something and seeing what happens. You’ll figure out your own shortcuts and favorite ways to ask.
Eventually, writing prompts will feel natural—like texting a friend who just happens to be amazing at brainstorming, writing, editing, organizing, and planning. You already know what you want to say. Prompts are just how you teach the AI to help you say it better.
Next time, we will be learning How to Use AI in Your Daily Tasks