"Prompt engineering" sounds technical. It's not. It's just learning how to ask AI for what you actually want.

Most people get mediocre results from AI because they give mediocre instructions. Here's how to fix that.

The Core Problem

When you talk to a coworker, they have context. They know your company, your role, your preferences, your previous conversations.

AI has none of that. It only knows what you tell it in this conversation. So when you type "write me an email," the AI is guessing about everything: tone, length, audience, purpose, level of detail.

Better prompts give the AI the context it needs to stop guessing.

The Simple Framework: RICE

When writing prompts, include:

R - Role

Tell the AI who it should be.

I - Instructions

What specifically do you want it to do?

C - Context

What does the AI need to know?

E - Examples (or Expectations)

What should the output look like?

Bad vs Good Prompts: Real Examples

Example 1: Email Writing

Bad: "Write an email to a customer."

Good: "You're a customer service rep for a plumbing company. Write a friendly follow-up email to a customer whose water heater we repaired yesterday. Thank them for choosing us, remind them about the 1-year warranty, and ask them to leave a Google review if they were satisfied. Keep it under 150 words."

Example 2: Summarizing

Bad: "Summarize this article."

Good: "Summarize this article for a busy executive who has 30 seconds to read it. Focus on: key findings, business implications, and recommended actions. Use 3-5 bullet points."

Example 3: Content Creation

Bad: "Write a social media post about our new product."

Good: "Write a LinkedIn post announcing our new AI scheduling tool. Target audience: small business owners who are frustrated with missed appointments. Tone: professional but conversational, not salesy. Include a clear call-to-action. 150-200 words. End with a question to encourage comments."

Five Techniques That Always Help

1. Ask for Multiple Options

"Give me three different versions of this email: one formal, one friendly, one brief."

This is faster than asking for one, not liking it, and asking for another.

2. Request Explanations

"Explain why you chose this approach" or "What are the tradeoffs of this recommendation?"

This helps you evaluate whether the AI's reasoning makes sense.

3. Set Constraints

"Maximum 100 words," "Use simple language a 12-year-old would understand," "Don't use jargon."

Constraints force focused output.

4. Iterate Out Loud

"This is good but too formal. Make it more casual while keeping the key points."

Treat it like editing with a coworker. Give specific feedback.

5. Give Examples

"Here's an email I wrote that I like the tone of: [paste example]. Write the new email in this style."

Examples are worth a thousand words of instructions.

Common Mistakes

Being Too Vague

The AI will fill in gaps with generic assumptions. Be specific about what you want.

Not Providing Context

"Write a response to this complaint" works better when you include: What's your company's policy? What tone do you typically use? What outcome do you want?

Accepting the First Output

AI output is a first draft. You can and should ask for revisions. "Make this shorter," "More emphasis on the deadline," "Add a friendlier opening."

Forgetting the Audience

"Who is reading this?" changes everything. Technical jargon for engineers, plain language for customers, executive summary for leadership.

Templates You Can Steal

For Emails

You're writing an email for [your role] at [company type].

Recipient: [who they are]
Purpose: [why you're writing]
Tone: [formal/casual/urgent]
Key points to include: [list them]
Length: [word count or "keep it brief"]

Write the email.

For Content

Create a [type of content] for [platform].

Target audience: [who]
Goal: [what you want them to do/feel]
Tone: [describe it]
Length: [specific]
Must include: [key points]
Avoid: [things you don't want]

For Analysis

Analyze [this document/data/situation].

I need to understand: [what specifically]
Format your response as: [bullets/table/narrative]
Focus on: [what matters most]
Ignore: [what doesn't matter]

The Real Secret

The best prompt engineers aren't technical geniuses. They're clear communicators who understand what they actually want.

Before you type a prompt, ask yourself: "If I gave these exact instructions to a smart stranger, would they know what to do?"

If not, add more context until they would.

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