How to Write AI Prompts [27 Proven Tips & Examples]

Getting great results from AI isn’t just about what you ask—it’s about how you ask. Writing AI prompts effectively can be the difference between a vague, generic response and a well-structured, insightful answer that actually saves time and effort.

Think of AI as an assistant. If you give unclear instructions, you’ll get unclear results. But when you structure your prompts properly, you guide AI to deliver more accurate, relevant, and useful responses.

Here’s a quick example of why this matters:

(Generic, unhelpful)

(Much more useful!)

So, how to write good AI prompts? 

By following the right prompting techniques, you can make AI work for you, not against you. In this guide, we’ll break down 27 proven tips and examples to help you write better prompts, optimize AI responses, and get real value out of tools like ChatGPT.

How AI Prompts Work

AI isn’t magic (as much as we wish it were).

AI doesn’t think or understand the way humans do. Instead, it generates responses based on patterns in language.

When you give an AI a prompt, you’re providing instructions that guide its output—whether it’s text, code, or an image. Think of it like asking a very advanced autocomplete system to expand on your idea. The AI analyzes billions of language patterns and outputs the most likely response based on the input it receives.

The clearer and more specific your prompt, the better the AI can generate a useful response.

Now, if you want to find out more technical info about how AI responds, here you go!

(And if you’re a non-tech specialist and want to get straight to the prompt tips, we recommend you to scroll for a bit.)

The Core of AI Responses: Tokens & Context

When you type something into ChatGPT (or any AI model), here’s what happens behind the scenes:

1. Your input (the prompt) is broken down into “tokens.”
   • A token is usually a word or part of a word. For example, “Marketing strategies” might be split into “Marketing” and “strategies” as two tokens.
   • The more tokens you use, the more context AI has to work with—but also, the more it costs in AI-powered tools!
2. The AI analyzes the tokens and predicts the best possible response.
   • It doesn’t “think” about the meaning of words—it matches patterns from everything it was trained on. (By the way, with OmniMind, you can train the AI chatbot on your own data.)
   • If your prompt is vague, it pulls from generic patterns (which is why you sometimes get generic answers).
   • If your prompt is specific, it finds more relevant patterns and generates detailed responses.
3. It considers past messages (up to a limit).
   • AI has a limited memory—it only “remembers” the last few thousand tokens in a conversation.
   • That’s why long conversations sometimes feel like the AI is “forgetting” earlier details.

Garbage In, Garbage Out: Why Prompt Quality Matters

AI is like a mirror—if you give it a messy, unclear question, you’ll get a messy, unclear answer back. But if you structure your prompt well, AI will give you way better responses.

Here’s an example:

(Vague, too broad—AI won’t know what you need!)

(Now AI understands your industry, budget, and goal, so the answer will be much more useful!)

Types of AI Prompts

How to write better AI prompts? First, we have to understand what types there are.

Type	Description	Example
Generative Prompts	Used for creating content such as articles, stories, poems, or scripts.	📌 “Write a 500-word blog post on ‘How AI is Transforming Outbound Lead Generation.’ Focus on the challenges sales teams face, like time-consuming research and low response rates, and explain how AI solves these issues. Cover practical applications such as AI-driven lead enrichment, personalized outreach, automated follow-ups, and predictive analytics. Use real-world examples or industry trends to illustrate the impact. Keep the tone engaging and actionable, avoiding fluff.”
Informational Prompts	Designed to retrieve factual information or insights from AI.	📌 “What are the top B2B marketing trends for 2025? Provide a well-researched answer based on industry insights, focusing on emerging strategies and technologies shaping B2B marketing. Use clear examples and data where possible to make the insights practical for marketers.”
Analytical Prompts	Used for breaking down concepts, comparing ideas, or analyzing data.	📌 “Compare the benefits of inbound vs. outbound marketing for SaaS companies. Analyze how each approach impacts lead generation, conversion rates, and customer acquisition costs. Discuss which strategy works best in different growth stages of a SaaS business and how companies can combine both for optimal results. Use data, industry examples, and real-world case studies to support your points.”
Instructional Prompts	Provide step-by-step guidance or tutorials.	📌 “Explain how to set up an email automation workflow in HubSpot. Write a step-by-step that is easy to understand for a non-tech person.”
Conversational Prompts	Used to simulate natural conversations, often for chatbots or AI assistants.	📌 “Act as a customer support agent and help a user troubleshoot a login issue. Start by asking clarifying questions to identify the problem (e.g., incorrect password, account lockout, browser issues). Guide the user through step-by-step solutions in a friendly and patient tone. If the issue persists, suggest contacting support. Keep the conversation natural and helpful, ensuring the user feels supported.”
Creative Thinking Prompts	Encourage AI to brainstorm new ideas, solutions, or creative approaches.	📌 “Give me 10 unique social media campaign ideas for a fintech startup. Focus on engaging, creative concepts that showcase the startup’s value while driving brand awareness and customer interaction. Ensure the ideas align with fintech trends and customer pain points, making them both engaging and relevant.
Summarization Prompts	Help condense long pieces of content into key takeaways.	📌 “Summarize this 2,000-word article on AI-driven sales automation in 3 bullet points. /insert article/”
Translation Prompts	Convert text from one language to another.	📌 “Translate this paragraph from English to French: ‘AI is changing how businesses interact with customers.'”
Formatting Prompts	Structure or refine content in a specific format.	📌 “Rewrite this paragraph in bullet points for better readability. /insert paragraph/”
Coding & Technical Prompts	Generate code snippets, debug errors, or explain programming concepts.	📌 “Write a Python function to clean and process customer data from a CSV file. The function should handle missing values, standardize text formatting (e.g., capitalize names, remove extra spaces), and validate email and phone number formats. Use pandas for data handling and include comments explaining each step.”

How to Write Prompts for AI

Tip 1. Define One Goal or Task

Before typing anything into AI, ask yourself: What do I actually need? AI works best when it has a clear, specific objective to focus on.

If your goal is too broad, you’ll get vague, unhelpful answers. If you define one clear task, AI will deliver a precise, relevant response.

Let’s say, you need several LinkedIn posts about AI.

Here’s how you can approach your conversation with ChatGPT.

(Too broad—AI won’t know what you need!)

Pro Tip: If you find yourself typing “Tell me about” or “Explain AI”, stop and make sure you added enough context to your prompt! Try specifying what you want AI to do with that information.

Tip 2. Choose Your AI Tool Depending on Your Goals

Not all AI tools are created equal! Different models have different strengths, limitations, and ideal use cases—and knowing what your AI can (and can’t) do helps you craft better prompts.

Here’s a quick breakdown of some popular AI tools and what they specialize in:

• ChatGPT-4 – Can generate text, create images with DALL·E, browse the Internet, and analyze uploaded images and data.
• Claude AI – Excels at working with tables, structured data, and database analysis, making it great for organizing information.
• Google Gemini (formerly Bard) → Optimized for real-time, web-connected responses and fact-checking.
• MidJourney/DALL·E → Specialized in AI-generated images based on text descriptions.
• Code Llama/GPT-4 Turbo (for coding) → Best for writing, debugging, and explaining code.
• OmniMind — a no-code platform for building AI agents that integrate with various tools and handle tasks beyond just answering questions. They can send personalized emails, scrape and enrich data for outreach, schedule meetings, and automate workflows to fit your business needs.

Why This Matters for Prompt Writing

Imagine asking an AI to do something outside its capabilities:

(ChatGPT-4 without DALL·E can’t do this!)

*DALL·E is an AI image generation model that creates pictures based on text descriptions. It can produce realistic, artistic, or abstract visuals by interpreting detailed prompts. You can find it in your ChatGPT Interface here:

Click “Explore GPTs”

Enter the beginning of the model’s name.

You can also just ask ChatGPT (if you have a Plus or a Pro plan) to use it:

If you understand your AI’s strengths, you can tailor your prompts to get the best possible responses—saving time and avoiding frustration.

Tip 3. Ask AI to Help You Create a Prompt

Sometimes, crafting the perfect AI prompt feels tricky. But here’s a little hack—you can actually ask AI to help you write a better prompt!

AI works best when it has clear instructions, so instead of struggling to figure out the best way to ask, you can start with a basic idea and let AI refine it for you.

Why This Works

• AI can suggest better phrasing based on what you need.
• It can ask clarifying questions to understand your request better.
• It ensures you’re getting the best possible response instead of a vague or generic answer.

If you’re unsure about the best way to phrase something, just type:
“Help me create a prompt for [your task], and ask me clarifying questions before finalizing it.”

This way, AI can guide you toward a better request, saving you time and effort.

Tip 4. Give ChatGPT an Identity (“Act as if…”)

AI responds better when it has a defined role. Instead of just asking a general question, you can tell AI to act as a specific expert, professional, or persona to get more tailored responses.

Recommended: AI Tools for HR

(Now AI knows to provide expert insights in a beginner-friendly way!)

Why This Works

• AI adapts its tone, expertise, and style based on the role you give it.
• It helps produce more relevant and accurate information.
• You get responses that sound more natural and industry-specific.

When giving AI an identity, you can phrase it like:

• “Act as a [job role] and…”
• “Imagine you are a [specific expert] helping [audience] with [topic]…”
• “You are an [industry professional]. How would you approach [task]?”

This helps AI adjust its response and makes the output way more useful.

Tip 5. Use Clear and Precise Language

When writing AI prompts, precision is your best friend. AI tools can handle casual language, but the clearer your request, the better the response.

Why? Because AI isn’t perfect—it can misinterpret vague prompts or even “hallucinate” (generate incorrect information). The more specific and structured your prompt, the less likely it is to go off track.

Let’s see an example:

(AI knows the exact platform, audience, and goal—leading to a much more useful answer!)

Pro tips:

• If you get generic answers, reword your prompt to be more specific.
• Use numbers (e.g., “Give me five strategies…”) to get structured responses.
• If AI misunderstands, tweak your wording instead of re-explaining—sometimes, one word makes all the difference!

Tip 6. Ask Open-Ended Questions

AI works best when you give it some room to think Instead of yes/no questions, try asking open-ended ones that encourage detailed, insightful responses.

A RAG system is very good at such tasks.

Why This Matters

A closed question limits AI’s response. An open-ended question gives AI more flexibility to provide helpful, nuanced answers.

(Yes or no answer—doesn’t spark useful insights.)

(Encourages AI to give a deeper response.)

Tip 7. Offer and Give Specific Context

The more context you give, the better AI understands your request. If you just drop a one-liner, AI has to guess what you mean—which doesn’t always go well.

Why This Matters

If you tell AI, “Write a product description,” it doesn’t know:

• What the product is
• Who the audience is
• The tone you prefer

Instead, guide the AI with specific details:

Example: “Write a playful, engaging product description for a smart water bottle designed for fitness enthusiasts. Highlight features like hydration reminders and temperature control.”

Now, AI can match the tone, audience, and product details correctly!

Tip 8. Provide Examples of Desired Outputs

How to write effective AI prompts? AI learns best by seeing what you want. If you provide an example of a response format, writing style, or structure, AI will mimic it.

Why This Matters

If you want AI to write a press release, just saying “Write a press release” is too vague. But if you provide a sample press release format, AI will follow that style.

Example Prompt: “Write a press release announcing our AI-powered CRM tool launch. Here’s an example of the tone and structure we want: [Insert Example].”

AI will now align its response to the format you like!

Tip 9. Make Your Description Structured and Logical

ChatGPT thrives when tasks are broken down into steps. If your request is too messy or complex, AI might give a confusing or incomplete answer.

Why This Matters

If you ask AI, “How do I start an e-commerce business?” it might give too much information at once.

Better Prompt: “Give me a step-by-step guide to starting an e-commerce business, including product selection, website setup, and marketing strategies.”

Now, AI will organize the response logically, making it easier to follow.

If you get long, overwhelming responses, try saying:
“Break this down into 5 simple steps.”
AI will restructure its answer into digestible pieces!

Tip 10. Include Helpful and Relevant Information Upfront

AI works best when it gets the most important details upfront. If you start with a vague or incomplete prompt, AI will fill in the gaps—and that’s not always helpful.

Why This Matters

The more context you provide at the start, the less back-and-forth is needed to refine the response.

Here’s an example.

(Too vague—what kind of email? Who is the audience? What’s the goal?)

Tip 11. Highlight What Information to Include

AI doesn’t know what’s important to you unless you tell it. If you need specific details in the response, learn how to write AI prompts clearly.

Why This Matters

If you want AI to write a product description, don’t just say:

(AI might leave out key details.)

Now, let’s try this:

Sounds better, right? Now, AI will include the details that matter!

Tip 12. Highlight What Information to Exclude

Sometimes, AI adds extra fluff or includes details that aren’t relevant. You can prevent this by specifying what NOT to include in your prompt.

Why This Matters

Let’s say you ask ChatGPT:

“Summarize this article on AI in sales.” 

AI might include unnecessary details and make the summary way too long.

Try this instead:

“Summarize this article on AI in sales. Keep it under 200 words and exclude historical context—just focus on current trends and use cases.”

By telling AI what to leave out, you get a more focused response.

Tip 13. Build on Previous Prompts

You don’t have to cram everything into a single prompt. AI can build on past responses, allowing you to refine and improve your request step by step.

Why This Matters

Instead of starting over, continue refining, but add clarity.

“Rewrite this article summary to be shorter.” (No reference to the previous version.)

Even if you write this to, say, a copywriter working for you, they won’t understand what exactly you want, let alone AI.

200 words? 500 words? A general summary or a list of key takeaways? It’s going to be a back-and-forth dialogue with a guessing game. Try this instead:

“Make this summary more concise, keeping only the key takeaways and removing vague sentences.”

AI will adjust the response without losing context—making the process much smoother!

Pro tip: If AI doesn’t get it right the first time, don’t be afraid to adjust and build on previous prompts. Each tweak helps refine the output!

Tip 14. Use Quotes If You Need to Work with Exact Text

If you need AI to modify, analyze, or format specific text, put it in quotes (or inside brackets) so AI treats it as a clear reference.

Why This Matters

AI can sometimes misinterpret your request if the text isn’t clearly marked.

For example:

You can continue refining this description by asking ChatGPT to avoid overused stylistic words like “seamless” and “efficiency”, provide more info about your product and audience, etc.

Pro tip: If you need multiple versions, say: “Rewrite the following in both a formal and a casual tone: ‘…’ “

Tip 15. Choose a Relevant Tone of Voice and Writing Style

AI can match the tone of voice you need—as long as you tell it what tone to use!

Why This Matters

A social media post should sound different from a legal document. AI needs direction.

So, instead of asking AI to:

“Write a LinkedIn post about AI in sales.” 

(AI might use a tone that doesn’t fit your brand.)

Try this:

“Write a LinkedIn post about AI in sales using a conversational and engaging tone that encourages discussion.” 

(Now AI knows how to phrase it!)

Pro tip: Specify tone with words like:

• Conversational
• Professional
• Persuasive
• Playful
• Storytelling-style

Tip 16. Give Examples to Base the Response On

AI is great at mimicking patterns—so if you give it an example, it will match the style, format, and tone.

Why This Matters

If you ask AI to write a press release but don’t provide a sample, the result might be generic.

So, don’t ask AI to:

“Write a press release about our new product launch.” 

(Too vague—AI doesn’t know the preferred structure.)

Instead, try this:

 “Write a press release about our new product launch. Here’s an example of a past press release we liked: [Insert Sample].” 

(Now AI can match the exact format!)

Tip 17. Include the Length of Your Responses

AI doesn’t automatically know how long you want the response to be—so if you need a specific length, mention it!

Why This Matters

Different platforms and formats have character limits, and AI won’t follow them unless told.

Let’s try this:

(It fits Twitter’s character limit!)

Pro tip: Use clear length requests like:

• “Under 100 words”
• “280 characters max”
• “A one-sentence summary”

Tip 18. Use Model-Specific Expressions

Different AI models respond better to certain phrases. While most AI tools understand natural language, some commands work better than others, depending on the model you’re using.

Why This Matters

A prompt that works well for ChatGPT-4 might need slight adjustments for OmniMind, Claude AI, or Gemini.

Try something like this:

“Rewrite this in a more engaging tone with short, punchy sentences and an active voice.” 

If you don’t get the right results, try tweaking your prompt, and you’ll find a suitable format, a common ground, so to speak, between you and your model.

Pro Tip: If a response doesn’t match your expectations, rephrase the prompt using more direct instructions.

Tip 19. Ask to Add Emojis and Simplify Text

If you’re writing for social media or a casual audience, adding emojis makes content more engaging and scannable. AI can also simplify technical text for better readability.

Why This Matters

AI often defaults to a neutral, professional tone. If you want playfulness or visuals, ask for it!

This looks like a short, informational, easy-to-read post for your LinkedIn. If it doesn’t match your style, just tell AI about it, providing details as to what you want the post to look like.

Tip 20. Ask for Uncommon Ideas & Analogies

AI tends to default to safe, common responses, but you can push it to be more creative by asking for uncommon ideas or using analogies.

Why This Matters

If you want fresh, out-of-the-box thinking, you have to nudge AI in that direction.

Just like when you’re talking to a person, you have to provide specifics. Build communication instead of throwing in short prompts that are difficult to understand properly.

See? The tips are not only creative, but the way ChatGPT describes them keeps us engaged and wanting more!

Tip 21. Give the AI a Structure to Follow

AI gives better responses when it knows what structure you want. If you don’t specify, it might ramble or organize things in a way that doesn’t fit your needs.

Why This Matters

A structured request means a structured answer.

AI follows a clear format!

Pro tip: You can specify:

• Bullet points vs. paragraphs
• Numbered lists vs. sections
• Headings for organization

Tip 22. Specify the Format of the Response

AI is flexible—it can give answers as bullet points, paragraphs, lists, tweets, tables, or even in a formal press release format. But it won’t know which one you want unless you tell it.

If you don’t specify, you might get a long, dense paragraph from your PDF analysis, for example, when you actually wanted quick bullet points or a one-sentence summary.

This is how you get more information, less vague wording, and readable structure!

Want an email format? Say so. Need a table comparing two things? Just ask. The clearer you are about the format, the more useful the response will be.

Tip 23. Chain Multiple Prompts

Instead of asking for everything in one long prompt, break it down step by step. This is called prompt chaining, and it helps AI stay focused and deliver better results.

If you pile too many instructions at once, AI might skip details, get confused, or rush through sections. By splitting the request into smaller pieces, you get more control over the output.

For example, here’s a prompt that may be quite confusing:

“Write a blog post about AI in retail, covering an introduction, benefits, challenges, case studies, and a conclusion.” 

(Too much at once—AI might rush through key points!)

And here’s a sequence we would’ve used.

1. “Write an introduction for a blog post on AI in retail.”
2. “Now, list three key benefits of AI in retail.”
3. “Next, describe the biggest challenges businesses face when adopting AI.”
4. “Provide a case study of a retail company successfully using AI.”
5. “Finally, write a conclusion summarizing the impact of AI on retail.”

This method keeps responses more structured and detailed while letting you refine things along the way.

Tip 24. Test Your Prompts Before Using the Output

Not all prompts work perfectly the first time. Sometimes, AI misunderstands, adds fluff, or leaves out something important. Instead of assuming the first response is the best, test your prompts a few times to make sure they give consistent and useful results.

If the answer seems off, tweak your wording or add more details.

(Now AI knows exactly what to highlight!)

Is the answer still not what you’re looking for? Test it a couple of times. If AI keeps misunderstanding something, rephrase the request to be even clearer.

Tip 26. Give the Model Time to “Think”

AI models don’t actually think, but they do reason through problems in a step-by-step way—just like we do when solving a math problem or analyzing a complex issue. If you push AI to answer too quickly, it might skip steps or make reasoning mistakes.

By prompting AI to explain its thought process first, you can get more accurate, well-structured answers instead of quick, error-prone responses.

How This Works in Practice

Instead of asking for an instant response, guide the AI through a reasoning process:

• Bad AI Prompt: “What’s 17 × 28?” (AI might try to guess instead of calculating properly.)
  Good AI Prompt: “Break down the steps for multiplying 17 × 28 before giving me the final answer.”

This also applies to complex topics:

(AI might rush and miss key details.)

Now, let’s try a different approach and let our AI think for a bit.

This sounds much more actionable, don’t you think? Now, we can build a conversation on top of these steps.

Additional Tactics to Improve AI’s Reasoning

• Instruct the model to work out its own solution before answering → “Explain your reasoning before giving the answer.”
• Use an inner monologue → “Walk me through how you would analyze this problem before making a recommendation.”
• Ask if it missed anything → “Review your answer and check if anything important was left out.”

This technique works especially well for logic-based problems, complex decision-making, and long-form content where depth and accuracy matter.

Tip 26. Instruct AI on the Wording

We’ve all seen those AI-generated pitches that sound a little too polished and dramatic—full of phrases like “unlock the power,” “unleash the potential,” “seamless experience,” and “trusted expertise.” While these words aren’t inherently bad, they often feel generic and robotic—making it obvious that the message wasn’t written by a human.

This can lower trust and make your content less engaging because it sounds like a template rather than something authentic.

If you want AI to generate clear, natural, and human-like writing, tell it to avoid overused stylistic words and focus on straightforward, meaningful messaging.

Here’s what we mean:

(Might return something generic and cliché.)

This one is clear and very human-like and doesn’t make our eyes twitch like all the “revolutionary, transformative, unlock-the-power-ish experiences” we see on so many websites nowadays.

If AI keeps giving you fluffy, overused wording, try adding:

• “Keep the tone simple and natural.”
• “Avoid vague marketing phrases and focus on real benefits.”
• “Use clear, conversational language instead of corporate jargon.”

This will immediately improve AI-generated content, making it sound more human and engaging.

Tip 27. Consider Upgrading to ChatGPT Plus (or Another Premium AI Plan)

If you use AI regularly, investing in a premium version like ChatGPT Plus can be worth it. Paid models are often faster, more accurate, and less likely to misunderstand your requests.

Here’s why some people go for premium AI:

• Better reasoning – AI handles complex prompts more effectively.
• Faster responses – No more waiting for long-form answers.
• Access to the latest models – Some features, like web browsing or file analysis, are only available in premium versions.

If you rely on AI for work, upgrading can save you time and effort in the long run.

Conclusion: Master AI Prompting Like a Pro

Writing AI prompts isn’t just about getting a response—it’s about getting the right response. When you’re clear, structured, and intentional with your prompts, AI becomes a powerful tool that actually saves you time instead of making you rewrite vague, robotic answers.

By now, you know how to:

• Ask better questions for more useful answers
• Provide context so AI doesn’t have to guess
• Avoid clichés that make your content sound generic
• Break down complex requests into logical steps
• Use AI’s strengths to get the best results

The best part? Once you start testing and tweaking your prompts, you’ll see how easy it is to get AI to work for you instead of the other way around.

And if you’re looking for an AI tool that doesn’t just generate text but actually helps you build smarter, more personalized AI agents? 

That’s where OmniMind comes in. 

Whether you need to automate customer support, optimize workflows, or create an AI assistant tailored to your business (without the overused marketing fluff), OmniMind has the tools to get it done, your way.Ready to put AI to work for you? Let’s make it happen.