Stop Asking AI Like It’s Google (And Start Getting Real Answers)
- Marina Kromaite
- ⏱️ 7 min read
The thing that makes AI output useful is context. The more you give it, the better it does.
🎯What You'll Learn
- ✅How to stop getting generic AI responses
- ✅The 3 things every effective AI prompt needs
- ✅Why context matters more than perfect prompting
- ✅A simple question that instantly improves AI output
In This Article
It Wasn't the AI. It Was Me.
If your AI outputs sound like every other piece of content on the internet, the problem usually isn’t the AI.
It’s the information you’re giving it.
I know because I made the same mistake.
When I first started using AI, I treated it like Google. I’d type something like:
“Write a post about productivity.“
Then I’d stare at the result wondering why it sounded generic, robotic, and completely forgettable.
The answer was simple: I was giving the AI almost nothing to work with.
Once I started providing context instead of commands, everything changed.
Today I use AI to help create content, organize ideas, brainstorm projects, and save hours every week. But the biggest lesson I’ve learned isn’t about AI tools.
It’s about communication.
Why AI Gives Generic Answers
AI gives generic answers when prompts lack context.
If you ask vague questions, you’ll usually get vague responses.
To get better results, AI needs to understand:
- Who you are
- Who you’re talking to
- What you’re trying to achieve
- What you want to avoid
The more useful information you provide, the better the output becomes.
Think about it this way:
If you hired a new employee and said, “Go write a marketing post,” you’d probably get questions.
- What platform?
- Who is the audience?
- What’s the goal?
- What tone should it have?
- AI works the same way.
The 3C Framework for Better AI Prompts
After thousands of conversations with AI tools, I’ve found that most successful prompts contain three things.
1. Context
Tell the AI who you are and who you’re talking to.
For example:
“I’m a small business owner creating content for other small business owners.”
That single sentence changes everything.
2. Clarity
Explain exactly what you want.
Not:
“Write a post.”
Instead:
“Write a LinkedIn post explaining why context matters when using AI.”
Specific requests produce specific outputs.
3. Constraints
Tell the AI what to avoid.
For example:
- No corporate jargon
- No buzzwords
- No fake examples
- No overly formal language
Sometimes what you don’t want is just as important as what you do want.
Generic prompts get you generic outputs. And nobody needs more of those.
Why Prompting Is No Longer About Perfection
When AI tools first became popular, everyone talked about prompt engineering.
People spent hours trying to discover the perfect prompt.
That worked for early AI systems.
Today’s AI tools are different.
The real skill isn’t writing one perfect prompt.
The real skill is having a conversation.
You give context.
The AI responds.
You refine.
The AI improves.
You continue until you get what you need.
That’s much closer to working with a colleague than using a search engine.
The skill of AI prompting has evolved from writing perfect prompts to having real conversations and iterating.
The Most Useful Follow-Up Question I Know
If you remember only one thing from this article, make it this:
After receiving an AI response, ask:
“What else would help me make this better?”
The answer is often surprisingly useful.
The AI might ask for:
- More audience information
- Better examples
- Additional business context
- Clarification about tone
- Details about your goals
Provide those details and the next version is almost always stronger.
My Simple AI Content Workflow
People often ask how I use AI for content creation.
My process is actually very simple.
Step 1: Capture Ideas
I record voice notes whenever ideas show up.
They’re messy, incomplete, and sometimes make sense only to me.
Step 2: Organize the Chaos
I use AI to pull out the useful ideas and structure them.
Step 3: Add Context
I explain who the content is for, what I want readers to learn, and what tone I want to use.
Step 4: Refine Through Conversation
Instead of starting over, I keep improving the output through follow-up questions.
Step 5: Make It Sound Human
I review everything and adjust it so it sounds like me.
Because the goal isn’t to sound like AI.
The goal is to sound more like yourself while spending less time getting there.
Common AI Prompting Mistakes
Mistake #1: Treating AI Like Google
Problem:
Very short prompts with almost no context.
Better approach:
Explain the situation and the outcome you want.
Mistake #2: Forgetting the Audience
Problem:
The AI doesn’t know who the content is for.
Better approach:
Describe your audience clearly.
Mistake #3: Accepting the First Draft
Problem:
The first answer is rarely the best answer.
Better approach:
Ask follow-up questions and refine the output.
Mistake #4: Hiding Important Information
Problem:
You know things about your business that the AI doesn’t.
Better approach:
Share relevant details, goals, examples, and constraints.
Weak Prompt vs Better Prompt
Weak Prompt
- 🚫Write a post about AI.
- 🚫Make this sound better.
- 🚫Explain SEO.
- 🚫Create a marketing plan.
Better Prompt
- ✅Write a LinkedIn post for small business owners explaining why context matters when using AI.
- ✅Rewrite this in a warm, conversational tone for entrepreneurs.
- ✅Explain SEO to a local business owner with no marketing experience.
- ✅Create a simple 30-day marketing plan for a solo business owner with 5 hours per week available.
Notice the pattern?
The better prompts provide context, clarity, and constraints.
One Thing You Can Do Today
The next time you open ChatGPT, Gemini, Claude, or another AI tool, stop trying to write the perfect prompt.
Instead, imagine you’re briefing a new employee.
Tell them:
- Who you are
- What you’re trying to accomplish
- Who the audience is
- What success looks like
Then ask:
“What else would help you do this better?”
AI responds surprisingly well to that approach.
And you’ll probably spend far less time fighting generic outputs.
💡 Quick Recap
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❓ Frequently Asked Questions
How do I make AI sound less robotic?
Give it examples of your writing, explain your preferred tone, and tell it what language to avoid. The more examples you provide, the better the results.
What is the most important part of an AI prompt?
Context. AI performs best when it understands who you are, who you’re talking to, and what you’re trying to accomplish.
Do I need custom GPTs to get good results?
No. They save time, but they’re not required. Good context and follow-up questions matter more.
Is prompt engineering still important?
Much less than it used to be. Today’s AI tools respond better to conversation and iteration than to perfectly crafted prompts.
Why does AI keep giving me generic answers?
Most often because the prompt is too vague. Add more context, examples, goals, and constraints.
Can AI create content that sounds like me?
Yes, but only if you teach it what “you” sounds like. Examples of your writing are one of the most valuable things you can give AI.
Final Thought
AI isn’t mind reading.
It’s pattern matching.
The more context you provide, the more useful those patterns become.
Generic inputs create generic outputs.
Specific inputs create useful outputs.
And that’s the difference between fighting with AI and actually benefiting from it.
Prefer to Listen?
This article was adapted from Episode 4 of Easy Business with Kromaite.
If you’d rather listen to the original conversation, you can play the full episode below.
Looking for more episodes? Explore the full Easy Business with Kromaite podcast archive.
🚀 Keep Learning
Stay smart, stay human — AI works for YOU! ✨
Questions? Email me at info@ymniza.com
Grab the ebook: AI Helped: But I Still Had to Do the Thinking
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