Have you ever felt, that the output ChatGPT and other AI tools generate against your prompt is insufficient or aligned to your prompt? Well, don’t worry about this blog post. I will show you how to trick AI prompts like a pro and get the desired results.
AI is in its infant stage. However it can provide much better responses compared to 1-2 years ago, but even if you don’t provide detailed prompts you will not get the result you are looking for.
This blog post will show you how to trick ChatGPT and other AI tools by providing them with better prompts to get better results. You can use these AI prompt tricks in writing, coding, and many more tasks and get more refined and creative outputs.
So without wasting any more time, let’s get into this.
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Understand The Behavior of AI Prompts
Tricking AI needs you to understand the behavior of AI prompts. Actually, the prompt itself is the seed that generates the desired results. Whatever you will provide to the AI tool, it will respond to it.
so understanding the behavior of AI prompts is a must when you are going to trick the AI tools with better prompts.
Look, models work on probability, which means they generate responses based on learning patterns rather than true reasoning or creativity. This behavior is just the opposite of human behavior.
Humans respond according to true reasoning and their own creativity.
But, the behavior of AI models relies on the following points.
- The context of the prompt. The more specific prompt creates better output than other prompts.
- AI models learn the sentence structures and observe their tone and formatting to generate responses.
- They place keywords strategically in the content to shape better results.
- They also respond according to the prompt length. Long prompts can generate better responses.
- Multiple prompts can generate better responses because AI needs to understand the subject more in detail. So more detailing means better results. You can use multiple prompts to refine the result and get a better final output.
These are some of the points to remember when you are prompting AI models. If you know how AI models behave on the prompts, you can get a much more precise response.
Keep in mind that AI is not a human. They learn patterns and behave upon it. It is just like a toddler learning how to speak.
That’s why the more input you will give to the AI models, the more precise results you can expect from it.
And, this rule applies to all the AI models, including ChatGPT, DeepSeek R1, MidJourney, and other AI tools.
How to Trick AI Prompts: 5 Ways
Now that you know the behavior of AI models, let’s get into the 5 ways to trick AI prompts.
The first one is,
Reframe Questions Creatively
Tell me how you from a question to the AI.
Is it like this “What is the best way to start a blog?” or, “How to earn money online?“
If yes, then you need to choose your questions creatively to get better responses.
You should instead ask “Give me five unique blocking strategies that no one talks about. OR “Give me 10 stages to earn money online that don’t need any skills.”
When you order them instead of questioning you will get a better response.
Now try it, and let’s come to the second point.
Use Constraints to Force Creativity
You should force them to stick to some rules. Such as you can give a prompt like this “Explain Bitcoin in a tweet (280 characters).”
By editing these constraints, you can force the AI to generate the result inside a given rule, making it more specific towards the content and generating a more precise response.
Leverage Role-Playing for Specificity
Make the AI model role-play on your behalf. For an example, you can ask the AI model as; act as a experienced tech blogger, and give me 5 SEO optimized blog post titles on “ the best curved screen mobile phones”.
In this prompt, you are telling the AI model to act like a professional blogger. Then you prompt it to provide the results. This is very specific to the AI model and that’s why it will generate a specific response upon it.
Reverse Engineer Responses
Don’t ask the AI model any question? Instead, tell them to provide the response on the given prompt.
For example; instead asking the AI model “How do I write a good email subject?”, ask “List 10 click-worthy email subjects for a tech product.”
This way, you can better reverse Enginner, the prompt and ultimately get a better response than expected.
Layer Multiple Prompts Together
Become the master of following up. If the first prompt fails to generate a desired response, then refine the prompt by adding a follow-up like, “I need a more precise detail” or “Now, make it more engaging and detailed”
AI models are in their infant stage, so they need as more detail as you can. Following up with the AI model is the best solution to get desired response.
As you have seen above in the every point that AI models require as a specific as the prompt. The more specific your prompt is, it can generate more precise and concise response.
That’s the main trick to AI prompts. A prompt Enginner makes his prompt very specific towards his response to make it much better than a newbie user.
Advanced AI Prompt Manipulation Techniques
Well, above you have seen the basics of tricking AI prompts. Now let’s drill down the real game of prompt engineering with advanced AI prompt manipulation techniques.
Multi-Step Prompting
Multi step prompting is actually dividing a complex prompt into multiple parts and ask accordingly.
This practice involves, instead of asking a complex output in one prompt bracket down into multiple steps.
For an example:
- Step 1: “Give me an outline for an AI prompt guide.”
- Step 2: “Expand each section into 200 words.”
- Step 3: “Summarize this output in bullet points.”
The beauty of multiple step prompting is, you will get more specific and detailed response in the final output.
Pattern Interruption
AI models work on patterns. That’s why, when you put a simply generated response into an AI content detector like Zero GPT you will get as it is written by AI content.
Actually, these AI content detectors, find the common patterns used by AI models in the content and provide you the result accordingly.
To break this pattern, you have to disrupt the AI model and force it to generate fresh ideas.
For an example; “Write a poem about AI, but make every sentence a question.”
When you prompt the model, like the above example, AI content detectors may not detect the response as generator by the AI model.
Persona Injection
You can also use persona injection and advanced trick that AI prompt engineers used in their prompts.
Persona injection means, you are telling the AI model to act like the given persona.
For an example; you can ask the AI model “You are Elon Musk. Answer in his style.” Now the response generated by this query is very different from a simple query.
Temperature & Randomness Tweaks (Supports only few AI Models)
AI temperature is a parameter that controls the randomness of text generated by these models. If you are allowed to control the temperature parameter of the AI model, you can use it and tweak to make the response with more random text generated.
Well, most of the AI models don’t support temperature control from the user side. Temperature control is very useful and creative tasks like storytelling, poetry, and brain storming.
So these are some advanced techniques that you can use to trick AI prompt and get much better response than ever.
AI Prompting for Different Types of Uses
Now, let us see where you can use this AI prompting tricks and get desired response.
First and foremost,
SEO & Blog Writing
Prompting tricks can be used effectively in SEO and Blog writing.
Like you can ask the EI model to generate high volume long keywords with this example prompt, “Give me 10 low-competition blog post ideas on wearable tech with high search volume.”
In the above prompt, you are asking the AI model to give 10 low competition block post ideas on wearable tech with high search volume.
These types of prompts are very useful to find best Blog post ideas.
Creative Writing
You can also use AI prompt hacks and creative writing like essay writing, storytelling, Youtube scripts, and many more.
You can use multi step prompting trick to force AI to follow unique storage structures.
Example; “Write a horror story where every paragraph ends with an unexpected twist.”
After getting the first response, you can add, “Edit this story and add a main character and some supporting characters in this.”
Coding
AI prompting tricks are best used in coding prompts. Like you can force the AI model to to generate step by step explanations with comments.
For example; “Write Python code for a weather API and explain each step in comments.”
This prompt asks the AI tool to provide the code with comments given in each step that simplifies the code for other coders.
That’s how you can use this prompting techniques in coding.
Research and Analysis
Research and analysis is another area where you can trick AI prompts to get better responses.
Such as you can ask the AI tool to compare different view points of the given content.
Example; “Summarize the pros and cons of electric vehicles based on government reports.”
Marketing & Ad Copy
The best use of AI prompting tricks as in marketing and add copy generation. You can ask the AI model to generate multiple A/B testing variations of an add copy.
Write five ad copies for a smartwatch targeting fitness lovers.” is a great example of tricking AI for marketing.
Image Generation
For image generation, you have to be hyper specific with your prompt. For an example, “Generate an image of a cyberpunk city with neon lights and flying cars at sunset.” defines users demand very specifically.
This prompt will actually help the image generation AI model like MidJourney or DALL·E to generate very specific image.
Video Generation
The same rule follows with video generation. You can ask ChatGPT to provide story boards and scripts for your desired video and then put the same to video generation AI tools like Runway or Synthesia.
“Create a 60-second video script about AI-powered home security.” Is a good example of instructing ChatGPT to provide a concise video script.
Music Generation
For Music generation, you have to specify the mood, instruments used, and the tempo of the song to generate a desired Music.
“Generate lyrics for a lo-fi hip-hop song about self-discovery.” This is a good example of Music generation AI prompting technique.
AI Prompting Mistakes You Should Avoid
- Don’t become too vagae in the prompt. Like, “Tell me about fitness.” is not a good prompt. Instead give, “Explain the benefits of HIIT workouts for beginners.“
- Don’t let the AI overload with too many requests. In this prompt“Write a blog, social post, and email in one response.” there are many queries questioned in single prompt. Instead organize this as, “Write a blog first, then generate social media captions separately.”
- As AI is in its infant stage, you may not get the best response at first. Yo should tweak prompts to get better output.
- Look, AI is not accurate. It may provide incorrect information. So, you must fact-check the information given before publishing the content.
- Users don;t specify the output format. You must specify it in your prompt. Instead of “List strategies for email marketing”, ask AI “List 10 email marketing strategies in bullet points.”
Conclusion
AI prompting is the combination of art and science and you will become better in it with time and practice. You can to craft prompts that unlock more smart, creative, and precise responses.
In whatever field you are using AI if you write the prompt with above given techniques you will get better output.
It’s not just “how to trick AI prompts” but becoming an experienced AI prompt engineer.
So, keep experimenting, and you will be better with time in AI prompting. Do you have any experience with AI prompting? Let’s white in the comments.
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