Difference between revisions of "Being-Creative-with-AI/C2/The-3-Cs-of-Prompting/English"
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Latest revision as of 02:30, 16 May 2026
| Visual Cue | Narration |
| Title Slide | Welcome to this Spoken Tutorial on The 3 Cs of Prompting. |
| Learning Objectives Slide | In this tutorial, you will learn to define and explain the 3 Cs of prompting.
You will also learn how to compare and apply them in different scenarios. |
| Disclaimer Content Slide | As AI tools constantly evolve, if you are unable to locate any icon or encounter difficulty at any step, you may use any conversational AI Chatbot for guidance. |
| System Requirements Slide | To practice this tutorial, you will need:
A computer, a laptop, or a smartphone. A stable internet connection. An updated web browser, such as Chrome, Edge, or Firefox. |
| Pre-requisite Slide | To follow this tutorial, learners should be familiar with what a prompt is.
No coding knowledge is needed. For the Pre-requisites of this tutorial, visit the website shown on your screen.
|
| Slide 5
Code Files The following code file is required to practice this tutorial: 3Cs-of-Prompting.txt This file is provided in the Code Files link of this tutorial page. Please download and extract the file. |
The following code file is required to practice this tutorial.
This file is provided in the Code Files link of this tutorial page. Please download and extract the file. |
| Person sitting at a laptop, thinking before typing | Have you ever got a strange answer from an AI?
That happens because the prompt is vague. A vague prompt gives an unclear answer. A clear prompt gives a better answer. |
| Show graphic to explain
Clarity, Context, and Constraints. |
Best prompts include three ingredients:
Clarity, Context, and Constraints. |
| Section Header: 1. Clarity | Let's start with the first C, Clarity. |
| Person at laptop, thought bubble above head, AI with a question mark | The AI can't read your mind.
When you explain your thoughts clearly, the AI gets better results. |
| Icons representing "task", "topic", "instructions", "details" | A clear prompt usually has the following:
- A well-defined task or goal - A clear topic or focus, and - Any special instructions for the AI to follow. |
| Person scratching head, confused at vague instruction | If these aspects are missing, your prompt becomes vague.
Vague prompts will give vague answers. |
| Screen recording showing browser with different AI tools (ChatGPT, Gemini, Claude) | Let's open any AI tool.
I am using Gemini AI in this tutorial. You can use anyone you usually use. Let's type a vague prompt in the message box and submit it. |
| On chatGPT Close-up: user typing "Write about electric cars" | For example, \"Write about electric cars.\"
Do you think this is clear or vague? |
| Pause animation / learner reflection moment | Think about it.
What should the AI focus on? Audience? Length? It doesn't say what aspect to focus on. |
| AI generating long generic text | The output will be too general and lack focus. |
| Screen close-up: user typing improved prompt
"Write a short blog on the top 3 benefits of owning an electric car in a city." |
Now, let's improve it.
I will now write: \"Write a short blog on the top 3 benefits of owning an electric car in a city.\" |
| Side-by-side: vague output vs improved output | See the difference?
The output is more precise, relevant, and easy to follow. |
| Section Header: 2. Context | Now, let's move to the second C, Context. |
| Visuals of audience types (e.g., student, professional, lifestyle blogger) | Context helps the AI understand your purpose and audience.
It helps the AI understand the right perspective. |
| Screen close-up: user adding context
"Write a short blog for a lifestyle blog. Focus on sustainable living. Explain the top 3 benefits of owning an electric car in a city." |
I will enter the following prompt and press enter. |
| Side-by-side: previous output vs new output | Look at the output.
Adding context makes the response more suitable. It helps the AI understand who it is for and why it is needed. |
| Section Header: 3. Constraints | Finally, let's look at the third C, Constraints. |
| Clock icon, word count icon, style guide visuals | Constraints work like rules.
They guide the response by setting length, format, or style. |
| Screen close-up: user adding constraints
The post should focus on sustainable living and electric cars suited for city use \"Write a blog under 400 words for a lifestyle blog. The blog should focus on sustainable living and city-friendly electric cars. Explain 3 main benefits of owning an electric car in the city. Use a friendly, enthusiastic tone throughout. End with a question to invite reader comments.\" |
For example:
\"Write a blog under 400 words for a lifestyle blog. The blog should focus on sustainable living and city-friendly electric cars. Explain 3 main benefits of owning an electric car in the city. Use a friendly, enthusiastic tone throughout. End with a question to invite reader comments.\" |
| Three outputs shown side by side (vague → context → constraints) | Compare all three outputs now.
Adding clarity, context, and constraints improves quality of the output. |
| Person at laptop, smiling at improved output | Remember: Clear and structured prompts give better AI responses. |
| Summary slide | Let us summarisz:
In this tutorial you learnt to: Define and explain the 3C's of prompting. Compare and apply them in different scenarios
|
| Assignment Slide
First, write a vague prompt. Next, improve it by adding clarity. Observe how the AI responds. Then add context to the same prompt. Notice how the response changes. Next, add constraints to the prompt. Observe the new response. Compare the three AI responses. Note which change made the biggest difference to the response. |
Now here is an assignment for you. |
| Acknowledgement Slides | Thank you for joining. |
| Final Slide
This Spoken Tutorial is brought to you by EduPyramids Educational Services Private Limited. |
