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Overview

In this lesson, you will learn:

• What prompt templates are and why they matter.
• How to create reusable prompt patterns for common AI tasks.
• Beginner-friendly strategies to save time and improve consistency.
• Practical examples for text summarization, coding, logic, and automation.

By the end, you will know how to design, reuse, and optimize prompts efficiently.

Key Concepts

• Prompt Template: A reusable structure guiding AI to produce consistent outputs.
• Pattern Library: A collection of prompt templates for common tasks.
• Efficiency & Consistency: Templates save time and ensure reliable outputs.
• Beginner-Friendly Approach: Start with 2–3 templates and expand gradually.

Concept Explanation

1. What is a Prompt Template?

A template provides a consistent structure for prompts that can be reused across tasks.

Example – Text Summarization Template

Role: You are a helpful assistant.
Task: Summarize the following paragraph in 3 bullet points.
Input: {Insert paragraph here}
Output:
- Bullet 1
- Bullet 2
- Bullet 3

Replace {Insert paragraph here} with any new text. Saves time and ensures uniform formatting.

2. What is a Pattern Library?

A pattern library is a collection of templates for different tasks such as summarization, text classification, code generation, email drafting, or data extraction.

Why it helps:

• Reuse tested prompts instead of writing new ones every time.
• Reduces errors and improves consistency.
• Makes scaling multi-task AI projects easier.

3. Beginner-Friendly Strategies

1. Identify common tasks in your workflow (e.g., summaries, reports, code snippets).
2. Create a template for each task with placeholders for variable inputs.
3. Test each template and refine based on output quality.
4. Organize templates into a library for quick access.
5. Update templates as you discover better phrasing or structure.

Practical Examples

Example 1: Email Drafting Template

Role: You are a professional assistant.
Task: Draft a polite email.
Input: {Recipient name}, {Purpose of email}, {Additional details}
Output:
Dear {Recipient name},

{Generated email text}

Best regards,
{Your name}

Example 2: Coding Template

Role: You are a Python tutor.
Task: Write a function with step-by-step explanation.
Input: {Task description}
Output:
Step 1: ...
Step 2: ...
Action:
def example_function():
    # Python code here

Example 3: Summarization Template

Role: You are a content editor.
Task: Summarize text in 3 sentences.
Input: {Text to summarize}
Output:
1. ...
2. ...
3. ...

Tools for Beginners

• ChatGPT / OpenAI Playground: Save templates for repeated tasks.
• Notion / Google Docs: Organize prompt libraries with placeholders.
• Replit / Jupyter Notebook: Automate template usage with variables.

Step-by-Step Beginner Activity

1. List 3 tasks you perform frequently (text, code, emails).
2. Write a prompt template for each task with placeholders.
3. Test the templates with different inputs.
4. Refine each template for clarity, tone, and formatting.
5. Organize templates into a library for future reuse.

Exercises

1. Create a template for summarizing news articles.
2. Create a template for drafting professional emails.
3. Create a template for simple Python functions with explanations.
4. Test all templates with multiple inputs and refine outputs.

Summary & Key Takeaways

• Prompt templates save time and improve output consistency.
• Pattern libraries organize templates for easy reuse across tasks.
• Begin with 2–3 templates and expand gradually.
• Templates can include roles, instructions, placeholders, and output formats.
• Mastering templates sets the stage for efficient multi-step workflows and automation in the Builder Zone.