Problem: AI Not Providing You Useful Results?
After typing a question into ChatGPT or another AI tool and pressing "Enter," and get the word "meh" back. Vague. Off-track. Or it's simply incorrect.You’re not alone. Many developers, marketers, and analysts face the same problem. They know AI is powerful—but they don’t know how to talk to it properly.
That’s where quick engineering comes in. And it’s no longer optional.
Agitate: Why Ineffective Prompting Costs Money and Time
Better prompt design increased task completion rates by 37% for both software debugging and content creation tasks, according to a recent OpenAI internal test.
It's more than just a figure. Weekly hours are saved, particularly in fast-paced positions like code refactoring or marketing campaign planning.
Consider this illustration from a digital firm:
They created ad copy for a client campaign using GPT-4. Their initial prompt was:
"Create a coffee shop advertisement on Facebook."
The outcome? copy that is generic and uninspired.
Once the prompt has been improved to:
Create a Facebook advertisement for a coffee shop in New York that caters to people in the 25–40 age range. Emphasize quick service and beans from ethical sources. Don't exceed 40 words.
Better prompt design increased task completion rates by 37% for both software debugging and content creation tasks, according to a recent OpenAI internal test.
It's more than just a figure. Weekly hours are saved, particularly in fast-paced positions like code refactoring or marketing campaign planning.
Consider this illustration from a digital firm:
They created ad copy for a client campaign using GPT-4. Their initial prompt was:
"Create a coffee shop advertisement on Facebook."
The outcome? copy that is generic and uninspired.
Once the prompt has been improved to:
Create a Facebook advertisement for a coffee shop in New York that caters to people in the 25–40 age range. Emphasize quick service and beans from ethical sources. Don't exceed 40 words.
Solution: How to Write Better Prompts—Prompt engineering isn't magic, even for beginners. It is a skill that can be learned. Here's how to begin becoming proficient in two typical use cases:
1. Wrong Prompt: Coding Assistance (Debugging)
"Repair this Python code."
A Better Prompt:
This Python function raises a Type Error. I want it to return a formatted date and handle string inputs appropriately. Could you explain the fix and display the updated code?
Why it works: LLMs require output expectations, context, and intent. Set a goal for it.
1. Wrong Prompt: Coding Assistance (Debugging)
"Repair this Python code."
A Better Prompt:
This Python function raises a Type Error. I want it to return a formatted date and handle string inputs appropriately. Could you explain the fix and display the updated code?
Why it works: LLMs require output expectations, context, and intent. Set a goal for it.
2. Wrong Prompt for Content Creation:
"Compose a blog entry about digital marketing."
A Better Prompt:
Compose a 300-word blog post about 2025 trends in digital marketing. Aim for novice marketers. Give a clear explanation of at least three trends using bullet points.
Conclusion:
You can't trick AI into doing work for you by prompting it. It has to do with working with it. As LLMs like Notion docs and other
notebooks become more common, being able to write good prompts is becoming just as important as being able to code or write copy.
Start out small. Describe it. Give background. Test and make changes all the time.
You can talk to AI, and it will listen and do what you ask.
notebooks become more common, being able to write good prompts is becoming just as important as being able to code or write copy.
Start out small. Describe it. Give background. Test and make changes all the time.
You can talk to AI, and it will listen and do what you ask.
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