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Simple Prompt Examples

Reading many prompt examples builds your intuition for what works. This topic provides simple, practical examples across different common tasks.

10 min•By Priygop Team•Updated 2026

Examples Across Common Tasks

# A collection of simple, useful prompt examples

learning_prompt = """
Explain machine learning to me as if I am a high school student.
Use an everyday analogy.
Keep it under 100 words.
"""

writing_prompt = """
Write a short LinkedIn summary for a software developer
with 3 years of experience in Python and web development.
Keep the tone professional but friendly.
Limit to 80 words.
"""

summarization_prompt = """
Summarize the following article in 3 bullet points.
Each bullet should be one sentence.
Focus on the main ideas, not the examples.

[Article goes here]
"""

brainstorming_prompt = """
Give me 5 creative names for a mobile app that helps
people track their daily water intake.
The app targets health-conscious adults aged 25 to 40.
"""

coding_prompt = """
Write a Python function called calculate_average
that takes a list of numbers and returns their average.
Include a comment explaining what the function does.
"""

print("These are practical starter prompts.")
print("Notice each one includes a clear task and relevant context.")

Diagram

Loading diagram…

Deep Learning ⊂ Machine Learning ⊂ Artificial Intelligence

Try It Yourself

Try It YourselfHTML

HTML Editor

✓ ValidTab = 2 spaces

# Practice: Write your own prompt for each task below
# Use the pattern: Task + Context + Output format

# Task 1: Get a simple explanation of a topic
my_explanation_prompt = """
Explain [TOPIC] to me as if I am a [AUDIENCE].
Keep it simple and use [FORMAT].
"""

# Task 2: Create content
my_content_prompt = """
Write a [TYPE OF CONTENT] about [TOPIC].
The audience is [WHO READS IT].
Tone: [PROFESSIONAL / CASUAL / FRIENDLY].
Length: [SHORT / MEDIUM / SPECIFIC NUMBER].
"""

# Task 3: Summarize
my_summary_prompt = """
Summarize this [DOCUMENT TYPE] in [NUMBER] bullet points.
Focus on [KEY AREA].
Write for [AUDIENCE].
"""

# Replace the brackets with your own values and test each prompt.
print("Practice writing prompts for your own real tasks.")

Result

Click ▶ Run to see the result

Edit the code on the left, then click Run (Ctrl+Enter)

HTML|26 lines|751 chars|✓ Valid syntax

UTF-8

Key Takeaways

Good prompts follow a consistent pattern: task, context, output format
Even simple tasks benefit from a small amount of extra context
Prompts are not long essays; they are focused instructions
The more you read and write prompts, the faster your intuition improves
Try replacing placeholders in prompt templates with your own content

Key Takeaways

Reading many prompt examples builds your intuition for what works.
Good prompts follow a consistent pattern: task, context, output format
Even simple tasks benefit from a small amount of extra context
Prompts are not long essays; they are focused instructions

Topics in This Module

Examples Across Common Tasks

# A collection of simple, useful prompt examples

learning_prompt = """
Explain machine learning to me as if I am a high school student.
Use an everyday analogy.
Keep it under 100 words.
"""

writing_prompt = """
Write a short LinkedIn summary for a software developer
with 3 years of experience in Python and web development.
Keep the tone professional but friendly.
Limit to 80 words.
"""

summarization_prompt = """
Summarize the following article in 3 bullet points.
Each bullet should be one sentence.
Focus on the main ideas, not the examples.

[Article goes here]
"""

brainstorming_prompt = """
Give me 5 creative names for a mobile app that helps
people track their daily water intake.
The app targets health-conscious adults aged 25 to 40.
"""

coding_prompt = """
Write a Python function called calculate_average
that takes a list of numbers and returns their average.
Include a comment explaining what the function does.
"""

print("These are practical starter prompts.")
print("Notice each one includes a clear task and relevant context.")

Diagram

Loading diagram…

Deep Learning ⊂ Machine Learning ⊂ Artificial Intelligence

Try It Yourself

Try It YourselfHTML

HTML Editor

✓ ValidTab = 2 spaces

# Practice: Write your own prompt for each task below
# Use the pattern: Task + Context + Output format

# Task 1: Get a simple explanation of a topic
my_explanation_prompt = """
Explain [TOPIC] to me as if I am a [AUDIENCE].
Keep it simple and use [FORMAT].
"""

# Task 2: Create content
my_content_prompt = """
Write a [TYPE OF CONTENT] about [TOPIC].
The audience is [WHO READS IT].
Tone: [PROFESSIONAL / CASUAL / FRIENDLY].
Length: [SHORT / MEDIUM / SPECIFIC NUMBER].
"""

# Task 3: Summarize
my_summary_prompt = """
Summarize this [DOCUMENT TYPE] in [NUMBER] bullet points.
Focus on [KEY AREA].
Write for [AUDIENCE].
"""

# Replace the brackets with your own values and test each prompt.
print("Practice writing prompts for your own real tasks.")

Result

Click ▶ Run to see the result

Edit the code on the left, then click Run (Ctrl+Enter)

HTML|26 lines|751 chars|✓ Valid syntax

UTF-8

Key Takeaways

Good prompts follow a consistent pattern: task, context, output format

Even simple tasks benefit from a small amount of extra context

Prompts are not long essays; they are focused instructions

The more you read and write prompts, the faster your intuition improves

Try replacing placeholders in prompt templates with your own content

Topics in This Module