Beginner’s Guide to Prompt Engineering: Real Results with ChatGPT, Midjourney, and More

MOCHIMIN BlogMOCHIMIN Blog
5 min read

Ever opened ChatGPT or Midjourney, typed in a request, and thought: “That’s not what I meant”?

You’re not alone. The secret to getting exactly what you want from any AI tool—words, images, or music—comes down to your prompt. That’s “prompt engineering,” and yes, anyone can do it.

Whether you’re writing your first prompt or looking to sharpen your results, here’s your step-by-step, jargon-friendly guide.


Why Do Prompts Matter?

Think of the prompt as your “instructions” for the AI. A good prompt means less time rewording and more time getting real, helpful results. The difference between a vague answer and something that actually works? It’s all in how you ask.


Quick Wins: Basic Prompting Tips

You don’t need a computer science degree to start seeing better outcomes.
Try these right away:

  • Be Specific: Want 200 words? An image in watercolor style? Say so.

  • State the Tone: Prefer friendly over formal, playful over technical? Mention it.

  • Give Context: Tell the AI the situation or who it’s for.

  • Break It Down: If it’s a big task, split it into steps or ask for a checklist.

  • Give Examples: If you know what you want, show a sample.

  • Ask for Variations: Request multiple drafts or different styles.

  • Use the Right Mode or Channel: Text for writing, image for art, audio for sound, video for scenes.

  • Save & Reuse: Keep prompts that work—you’ll want them again.


Next-Level Techniques (With Real Terms, Made Simple)

Once you’re comfortable, you can get creative and precise. Here’s how, with real “prompt engineering” techniques:

1. Role Prompting

What it is: Telling the AI to act as someone specific.
Why: This frames the answer in a style or with expertise you want.

  • Example: “You are a career coach. Help me prepare for a job interview.”

  • Tip: Start with “You are...” or “Act as a...”

2. Few-Shot Prompting

What it is: Giving the AI a few examples first. Why: Sets the style or structure.

  • Example: “Joke: Why did the chicken cross the road? To get to the other side. Now write a joke about pizza.”

  • Tip: Use a couple of clear examples to “train” the AI on the fly.

3. Step-by-Step Prompting (Chain-of-Thought)

What it is: Asking the AI to solve or explain step by step. Why: Breaks complex tasks into manageable pieces.

  • Example: “Explain how to renew a passport, step by step.”

  • Tip: Phrases like “Show your reasoning” or “List each stage” work well.

4. Instruction-Based Prompting

What it is: Telling the AI exactly what to do (lists, formats, summaries). Why: Avoids vague responses.

  • Example: “List five benefits of walking every day, as bullet points.”

  • Tip: The more direct your instruction, the better.

5. Contextual Prompting

What it is: Adding audience, goal, or background info. Why: Personalizes and clarifies.

  • Example: “Write a thank-you note for a teacher from a parent.”

  • Tip: State who it’s for, and why.

6. Multimodal Prompting

What it is: Writing prompts for different kinds of outputs—text, image, audio, or video. Why: Each medium has unique needs.

  • Image Example: “A vibrant watercolor landscape of a sunrise in the Alps.”

  • Audio Example: “Create a 15-second cheerful acoustic intro for a family podcast.”

  • Tip: Describe colors, mood, or sound qualities for richer results.

7. Humanizing AI Output

What it is: Making the AI’s response sound natural, friendly, or “on brand.” Why: Avoids robotic or awkward phrasing.

  • Example: “Rewrite this text to sound more conversational and upbeat.”

  • Tip: Don’t be shy about asking for a rewrite, a more personal tone, or a version in plain English.


Quick Reference Table

TechniqueBest ForExample Task
Role PromptingAdvice, expertise, storiesInterview prep, product reviews
Few-Shot PromptingCreativity, voice matchingJokes, blog intros, summaries
Step-by-Step PromptingExplanations, how-tosProcess guides, troubleshooting
Instruction-BasedStructured outputLists, summaries, outlines
Contextual PromptingClarity, personalizationCustomer emails, social posts
Multimodal PromptingImages, audio, videoArt, jingles, video scenes
Humanizing OutputFriendly, relatable textBlogs, newsletters, customer support

Tips for Beginners

  • Start Simple: Clear, direct language usually works best—even with advanced AI models.

  • Experiment: Try new techniques. You can’t “break” the AI by asking differently.

  • Review and Revise: Didn’t get what you wanted? Adjust and try again. It’s normal.

  • Save Good Prompts: Build your own “prompt library” over time for emails, stories, art, and more.

  • Remember: The AI is here to help. It will try its best to meet your needs—just ask.


Final Thoughts

You don’t need technical training to get great results. But if you are a technical reader, you’ll recognize terms like “role prompting,” “few-shot prompting,” “chain-of-thought,” and “multimodal input”—all made accessible for everyone. The point? Anyone can master prompt engineering, and with a few smart tricks, you’ll get sharper, more creative output from any AI tool.

Stay curious. Experiment. You’ll be surprised by what’s possible—even with simple, clear prompts.


Explore More with MOCHIMIN & Lazy Prompter

Want an easier way to craft and save powerful prompts—without memorizing all the jargon?
Lazy Prompter by MOCHIMIN is designed for everyone:

  • Instantly generate prompts for writing, images, audio, or even “humanizing” your text

  • Use real prompt engineering techniques, even if you don’t know their names

  • Get inspired by real-world use cases and discover how thousands work smarter with AI

Try it for free, and subscribe to the MOCHIMIN Blog for more hands-on guides, examples, and prompt tips—whether you’re just starting out or ready to go deeper.

Prompt engineering isn’t just for experts—it’s for anyone with ideas and a question to ask. Your next great result is only a prompt away.

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MOCHIMIN Blog
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