Different types of prompts serve distinct purposes—open-ended prompts encourage creativity, instructional prompts demand precision, and role-based prompts set context.

Prompt Type 1: Open-Ended

• Purpose: Encourages creative or exploratory responses (e.g., "Write a story about a futuristic city").
• Use Case: Ideal for brainstorming or creative tasks (e.g., generating ideas for a sci-fi novel).

Prompt Type 2: Instructional

• Purpose: Directs the AI to perform a specific task (e.g., "Summarize this article in 100 words").
• Use Case: Great for structured outputs like summaries, lists, or reports (e.g., summarizing a research paper).

Prompt Type 3: Role-Based

• Purpose: Sets a persona or context for the AI (e.g., "You are a teacher explaining photosynthesis to a 5th grader").
• Use Case: Perfect for tailoring responses to a specific audience or perspective (e.g., explaining complex topics simply).

Additional Concept: Prompt Modifiers

• Tone: Specify the tone of the response (e.g., "Answer in a formal tone").
• Length: Define the length of the output (e.g., "Provide a 50-word summary").
• Format: Request a specific format (e.g., "Answer in bullet points").

A well-structured prompt includes a clear instruction, context, and desired output format—ensuring the AI understands your intent.

Concept 1: Instruction

• Definition: The main action you want the AI to perform (e.g., "Write", "Explain", "List").
• Example: "Write a 200-word blog post about sustainable living."

Concept 2: Context

• Definition: Background information to guide the AI (e.g., "You are a sustainability expert").
• Example: "You are a sustainability expert writing for a beginner audience."

Concept 3: Output Format

• Definition: The structure of the response (e.g., "in bullet points", "as a table").
• Example: "List 5 tips for sustainable living in bullet points."

Practical Example: Combine all three: "You are a sustainability expert writing for beginners. Write a 200-word blog post about sustainable living, structured in 3 paragraphs with a clear introduction, body, and conclusion."

Begin your prompt engineering journey by crafting simple prompts, testing them with an AI model, and refining based on the output.

Step-by-Step Guide:

• Step 1: Define Your Goal: Decide what you want the AI to do (e.g., "I need a summary of a book").
• Step 2: Write a Simple Prompt: Start with a basic instruction (e.g., "Summarize the book 'To Kill a Mockingbird'").
• Step 3: Add Context: Provide background to improve accuracy (e.g., "You are a literature professor summarizing 'To Kill a Mockingbird' for students").
• Step 4: Specify the Output: Define the format and length (e.g., "Summarize the book 'To Kill a Mockingbird' in 100 words, focusing on the main themes").
• Step 5: Test and Refine: Run the prompt, review the output, and adjust (e.g., if the summary is too long, add "in 50 words").

Practical Example: Start with: "Summarize 'To Kill a Mockingbird'." If the output is too vague, refine to: "You are a literature professor. Summarize 'To Kill a Mockingbird' in 100 words, focusing on the themes of justice and morality."

Troubleshooting Tip: If the AI misinterprets your prompt, add more context or clarify the instruction (e.g., "Explain the plot" instead of "Tell me about").

Pro Tip: Use iterative prompting—start simple, then add details based on the AI’s response to improve accuracy.