10-15 Minute Lesson Script
Introduction (2 minutes)
Welcome back! If you completed Lesson 1, you’ve already had your first conversations with ChatGPT. Maybe some responses were exactly what you wanted, and maybe some missed the mark a bit. That’s completely normal—and that’s exactly what we’re going to fix today.
Today’s lesson is all about prompt crafting—which is really just a fancy way of saying “learning to ask for what you actually want.” Think of it like this: if you walk into a coffee shop and say “I want coffee,” you’ll get coffee. But if you say “I’d like a medium iced latte with oat milk and one pump of vanilla,” you’ll get exactly what you’re craving.
AI works the same way. The clearer and more specific you are, the better your results will be.
By the end of this lesson, you’ll know how to turn vague ideas—like “help me write something”—into clear, powerful prompts that get you exactly what you need. And the best part? This skill will work with every AI tool you use, not just ChatGPT.
The Anatomy of a Great Prompt (4 minutes)
Let’s start by breaking down what makes a prompt work. A great prompt has four key ingredients—I call them the Four C’s:
1. Context – Who are you, and what’s your situation?
2. Clarity – What exactly do you want?
3. Constraints – Are there any specific requirements (length, tone, format)?
4. Check-in – Do you want the AI to ask questions or just deliver?
Let me show you what this looks like in action.
Vague prompt:
“Help me plan a party.”
Better prompt using the Four C’s:
“I’m planning a 50th birthday party for my best friend who loves gardening. I need help creating a timeline for planning over the next 6 weeks. The party will be outdoors at my home for about 30 people. Can you give me a week-by-week checklist?”
See the difference? The second prompt gives:
- Context: 50th birthday, best friend, loves gardening, outdoor, your home
- Clarity: Timeline for planning
- Constraints: 6 weeks, 30 people, week-by-week format
- Check-in: (implied—asking for a specific deliverable)
Now the AI knows exactly what you need and can give you a useful, personalized response instead of generic party planning tips.
Here’s another example:
Vague prompt:
“Write me a story.”
Better prompt:
“Write a 500-word short story about a retired librarian who discovers a mysterious book in her attic. The tone should be warm and slightly mysterious, like a cozy mystery novel. End with a cliffhanger.”
With the second prompt, the AI knows:
- Context: Retired librarian, attic discovery
- Clarity: Short story with specific character and plot
- Constraints: 500 words, warm and mysterious tone, cliffhanger ending
- Check-in: (clear deliverable requested)
The Three Levels of Prompt Specificity (3 minutes)
Not every prompt needs to be super detailed. Sometimes you want quick answers, and sometimes you need precision. Let me show you three different levels:
Level 1 – The Quick Ask
Use this when you just need a fast answer or brainstorm.
Example: “Give me 5 dinner ideas using chicken and vegetables.”
Level 2 – The Detailed Request
Use this when you need something more tailored to your specific situation.
Example: “I have chicken breasts, broccoli, carrots, and rice. I need a healthy dinner recipe that takes under 30 minutes and doesn’t require any specialty ingredients. I’m cooking for two adults who don’t like spicy food.”
Level 3 – The Custom Job
Use this when you need something precisely crafted, like professional content or complex problem-solving.
Example: “I’m writing a blog post for small business owners about time management. My audience is entrepreneurs aged 35-55 who feel overwhelmed. Write a 300-word introduction that’s encouraging and relatable, includes one personal story about feeling busy, and ends with a preview of three time-saving strategies I’ll share. Match this writing style: [paste sample of your writing].”
The more important or specific the task, the more you move toward Level 3. But don’t overthink it—you can always start at Level 1 and add more details if the first response isn’t quite right.
The Power of Iteration (3 minutes)
Here’s a secret that will save you so much frustration: your first prompt doesn’t have to be perfect.
In fact, some of the best results come from having a conversation with AI, not from trying to craft the perfect prompt on your first try.
Let me show you how iteration works:
First attempt:
“Help me write an email to my team about a project deadline.”
AI gives you something, but it’s too formal.
Second attempt:
“That’s good, but can you make it more casual and friendly? We’re a small team and I want to sound supportive, not bossy.”
AI adjusts the tone.
Third attempt:
“Perfect! Now can you add a sentence thanking them for their hard work?”
Final result: Exactly what you needed.
See how that worked? You didn’t need to figure out every detail upfront. You had a conversation, gave feedback, and refined the result.
This is one of the most powerful techniques you can learn. Don’t be afraid to say:
- “That’s too long—can you cut it in half?”
- “Can you explain this in simpler terms?”
- “I like the second paragraph, but can you rewrite the first one?”
- “Give me three different versions of this and I’ll pick my favorite.”
Building Your Prompt Template Library (2 minutes)
As you use AI more, you’ll notice certain types of requests come up again and again. Maybe you’re always asking for blog post outlines, or email drafts, or recipe ideas.
Here’s a pro tip: save your best prompts as templates.
For example, you might create:
Blog Post Outline Template:
“Create a blog post outline for [TOPIC]. My audience is [WHO THEY ARE]. Include an attention-grabbing introduction, 3-5 main sections with subheadings, and a conclusion with a call to action. Tone should be [DESCRIBE TONE].”
Email Draft Template:
“Write an email to [RECIPIENT] about [TOPIC]. The purpose is to [GOAL]. Tone should be [FORMAL/CASUAL]. Keep it under [WORD COUNT].”
Recipe Idea Template:
“Give me a recipe using [INGREDIENTS]. It should take less than [TIME], serve [NUMBER] people, and be [DIETARY PREFERENCE]. Include prep time, cook time, and step-by-step instructions.”
Just fill in the brackets each time you use them, and you’ll get consistent, high-quality results. You can keep these templates in a simple document or note on your phone.
Wrapping Up (1 minute)
Prompt crafting isn’t about being perfect—it’s about being clear. The more you practice, the better you’ll get at knowing what details matter and what you can skip.
Remember: start simple, then add detail. Don’t be afraid to iterate. And save your best prompts for future use.
In your mini challenges this week, you’re going to practice writing prompts in different ways and for different purposes. By the end of the week, you’ll have a little library of prompts that work great for you—and you’ll feel so much more confident asking AI for exactly what you need.
Let’s get started!
3-5 Key Takeaways
- The Four C’s make prompts powerful – Context (your situation), Clarity (what you want), Constraints (specific requirements), and Check-in (how AI should respond) turn vague requests into specific, useful answers.
- Match your prompt level to your need – Quick asks need less detail, custom jobs need more. You don’t need to overthink simple requests, but important tasks deserve specific prompts.
- Iteration beats perfection – Your first prompt doesn’t need to be flawless. Have a conversation with the AI, give feedback, and refine the results. This back-and-forth often produces better outcomes than trying to nail it on the first try.
- Templates save time and improve consistency – Once you find prompts that work well for recurring tasks (emails, recipes, outlines), save them as fill-in-the-blank templates you can reuse.
- Specificity gets you closer to what you actually want – Generic requests get generic answers. The more details you provide about your situation, audience, and desired outcome, the more personalized and useful the response will be.
2-3 Practical Examples/Case Studies
Example 1: Tom’s Business Email Evolution
Background: Tom, 56, runs a small landscaping business and needed to send a professional email to a potential client who requested a quote.
First attempt (vague):
“Write an email about a landscaping quote.”
Result: Generic, impersonal email that could be from any landscaping company.
Second attempt (using the Four C’s):
“I own a small landscaping business. A homeowner named Mrs. Johnson contacted me asking for a quote to redesign her backyard garden. She mentioned she wants low-maintenance plants and a small patio area. Write a professional but warm email introducing myself, confirming I received her request, and letting her know I’ll visit her property this Thursday at 2pm to discuss the project and provide a detailed quote. Keep it friendly—I want to sound approachable, not corporate.”
Result: Perfect email that felt personal, included all the details, and matched Tom’s business style.
Key lesson: Adding context about who you are, who you’re writing to, and what tone you want transforms a generic request into something specifically useful for your situation.
Example 2: Patricia’s Recipe Refinement
Background: Patricia, 62, wanted dinner ideas but has specific dietary needs and limited time.
Iteration approach:
Prompt 1:
“Give me a healthy dinner recipe.”
AI Response: General recipe that included ingredients Patricia didn’t have.
Prompt 2:
“I need a dinner recipe using salmon, asparagus, and potatoes. No dairy—I’m lactose intolerant. Under 40 minutes.”
AI Response: Better, but the cooking method was too complicated.
Prompt 3:
“Can you simplify this? I want to bake everything on one sheet pan.”
AI Response: Perfect! Simple, one-pan recipe that met all her needs.
Key lesson: Patricia didn’t stress about getting it perfect the first time. She started with a basic request and refined it through conversation until she got exactly what she needed. This iterative approach is faster and less stressful than trying to anticipate every detail upfront.
Example 3: Marcus’s Template Library
Background: Marcus, 47, writes a weekly newsletter for his small consulting business and was spending too much time figuring out how to ask AI for help each week.
What he did: After a few weeks of trial and error, Marcus noticed he was basically asking for the same type of help each time. So he created this template:
Marcus’s Newsletter Intro Template:
“Write a 150-word introduction for my weekly business newsletter. This week’s topic is [TOPIC]. My audience is small business owners who are busy and practical. The tone should be conversational and encouraging, like advice from a trusted mentor. Start with a relatable observation about [RELEVANT CHALLENGE], then transition into why this week’s topic matters. End with a sentence that teases the main tips I’ll share.”
Result: Now Marcus just fills in the brackets each Monday morning, and he gets a consistently great newsletter intro in 30 seconds instead of staring at a blank screen for 20 minutes.
Key lesson: If you do something repeatedly, turn your best prompt into a reusable template. It saves time and ensures consistent quality.
1 Hands-On Activity
Activity: “The Three-Way Prompt Challenge”
Time needed: 30-40 minutes
Objective: Practice writing prompts at different levels of specificity and see firsthand how details change your results.
Part 1: Choose Your Three Scenarios (5 minutes)
Pick three different types of tasks you’d actually use AI for. Choose one from each category:
Category A – Storytelling/Creative:
- Write a short story
- Create a character description
- Develop a plot idea
- Write a poem
Category B – Business/Practical:
- Draft an email
- Create a project plan
- Write a business proposal intro
- Develop a marketing tagline
Category C – Content Creation:
- Write a blog post outline
- Create social media captions
- Draft a newsletter introduction
- Develop a product description
Part 2: Write Each Prompt Three Different Ways (20 minutes)
For EACH of your three scenarios, write three versions:
Version 1 – The Bare Minimum
Just the basic request with no details.
Example: “Write a story about a garden.”
Version 2 – The Detailed Request
Add context, constraints, and clarity.
Example: “Write a 300-word story about a retired teacher who starts a community garden in her neighborhood. Include themes of connection and renewal. Tone should be warm and hopeful.”
Version 3 – The Custom Masterpiece
Go all-in with the Four C’s—add your personal style, specific audience, exact requirements.
Example: “Write a 300-word short story about a 68-year-old retired teacher named Rosa who starts a community garden in her urban neighborhood after feeling lonely following her husband’s passing. She gradually connects with diverse neighbors through the garden. Tone should be warm, hopeful, and gentle—similar to the writing style of Maeve Binchy. Include sensory details about the garden. End with a moment of quiet joy as Rosa realizes she’s built a new family.”
Part 3: Test & Compare (10 minutes)
Now run each version through ChatGPT (or any AI tool) and compare the three results for each scenario.
Questions to consider:
- Which version gave you the most useful response?
- Was the most detailed prompt always the best, or did one of the simpler versions surprise you?
- What specific details made the biggest difference?
- Which prompt would you actually use again?
Part 4: Create Your Template Library (5 minutes)
Based on what you learned, create a simple template for each of your three scenarios. Save these somewhere you can easily access them (Notes app, Google Doc, whatever works for you).
Format your templates like this:
[Name of Template – Example: “Weekly Email Template”]
“[Your prompt with bracketed blanks for the changing parts]”
Example:
Business Email Template
“Write a [LENGTH] email to [RECIPIENT] about [TOPIC]. The purpose is to [GOAL]. My relationship with them is [PROFESSIONAL/FRIENDLY/FORMAL]. Tone should be [ADJECTIVES]. Include [ANY SPECIFIC ELEMENTS].”
Bonus Challenge:
If you’re feeling adventurous, take your best prompt from each category and test it with a different AI tool (Claude, Gemini, or Copilot) to see how different tools respond to the same prompt. You’ll use this skill in Lesson 4!
3 Quiz Questions with Answers
Question 1
What are the “Four C’s” of effective prompt crafting?
A) Create, Clarify, Confirm, Complete
B) Context, Clarity, Constraints, Check-in
C) Concise, Clear, Correct, Consistent
D) Character, Conflict, Climax, Conclusion
Answer: B – Context, Clarity, Constraints, Check-in
Explanation: The Four C’s help you build complete, effective prompts. Context tells the AI about your situation, Clarity specifies what you want, Constraints set requirements like length or tone, and Check-in indicates how you want the AI to respond. These four elements transform vague requests into specific, useful prompts.
Question 2
When should you use a “Level 3 – Custom Job” prompt instead of a simpler prompt?
A) Every single time you use AI, no matter what
B) Never—simple prompts always work better
C) When you need something precisely crafted for professional or complex tasks
D) Only when you’re talking to advanced AI models
Answer: C – When you need something precisely crafted for professional or complex tasks
Explanation: The level of detail in your prompt should match the importance and complexity of your task. Quick questions or brainstorming can use simpler prompts, but when you need something specific—like professional content, personalized advice, or complex problem-solving—a detailed Level 3 prompt will give you much better results. You don’t need to overthink simple requests, but important tasks deserve thorough prompts.
Question 3
What’s the best approach if AI’s first response isn’t quite what you wanted?
A) Start over with a completely new conversation—never try to fix it
B) Accept what you got since AI can’t be changed
C) Give up and try a different AI tool
D) Have a conversation with the AI by giving feedback and refining the response
Answer: D – Have a conversation with the AI by giving feedback and refining the response
Explanation: Iteration is one of the most powerful techniques in working with AI. You don’t need a perfect first prompt. Instead, review what the AI gave you and provide feedback: “Make it shorter,” “Change the tone,” “Add more examples,” etc. This conversational approach often produces better results than trying to craft the perfect prompt on your first attempt. Think of it as collaborating with the AI, not commanding it.