Prompt engineering has become one of the most essential skills in the AI era. Whether you are creating content, building AI agents, coding assistants, or automating business workflows, the way you ask determines the way AI answers.
In this blog, we’ll explore the most effective types of prompt engineering, explain how they work, and provide ready-to-use examples you can apply immediately.
1. Instruction Prompts
Instruction prompts give the AI a direct command or task.
They are simple, clear, and useful when you need the AI to perform a specific action.
Example
Prompt:
“Write a 50-word introduction about digital marketing for beginners in a friendly tone.”
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2. Zero-Shot Prompts
Zero-shot prompts ask the AI to perform a task without any previous examples.
Example
Prompt:
“Summarize this paragraph in one sentence: [paste text].”
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3. One-Shot Prompts
One-shot prompts include one example to guide the output style or pattern.
Example
Prompt:
“Example:
Input: ‘AI improves workflows.’
Output: ‘AI enhances efficiency by optimizing tasks.’
Now convert this sentence in the same style:
‘Digital marketing needs automation.’”
4. Few-Shot Prompts
Few-shot prompts provide multiple examples to give the AI better context and structure.
Example
Prompt:
“Rewrite sentences to sound more professional.
Example 1: ‘We will fix it soon.’ → ‘We will resolve this shortly.’
Example 2: ‘Send it fast.’ → ‘Please prioritize the delivery.’
Now rewrite: ‘I need this done ASAP.’”
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5. Role-Based Prompts
Here, you assign a role to the AI, helping it respond with specialized knowledge.
Example
Prompt:
“You are a senior UI/UX designer. Suggest improvements for this landing page content: [insert text].”
6. Chain-of-Thought Prompts
These prompts ask the AI to reason step-by-step, producing more accurate and logical results.
Example
Prompt:
“Explain step-by-step how agentic AI works in digital marketing automation.”
7. Persona-Based Prompts
Similar to role-based but focused on tone, attitude, or perspective.
Example
Prompt:
“Write product copy in the tone of a friendly tech expert encouraging small businesses to adopt AI tools.”
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8. Context-Enriched Prompts
These prompts supply background information to help the AI generate more relevant output.
Example
Prompt:
“Our company Doer Digitalz specializes in AI automation and digital marketing. Write a 150-word service description that aligns with this brand.”
9. Goal-Oriented Prompts
Used when you need the AI to reach a specific outcome or objective.
Example
Prompt:
“My goal is to create a viral Instagram reel about ‘AI in Digital Marketing’. Give me 8 attention-grabbing hook lines.”
10. Constraint-Based Prompts
These prompts add rules such as word count, tone, format, or restrictions.
Example
Prompt:
“Write 3 headlines about Agentic AI under 8 words each, using a bold and futuristic tone.”
11. Multi-Step Prompts
Request the AI to perform tasks in sequence.
Example
Prompt:
“Step 1: Generate 5 blog titles about AI automation.
Step 2: Choose the best one.
Step 3: Write a blog outline for the selected title.”
12. Style-Transfer Prompts
Ask the AI to rewrite content in a specific style or voice.
Example
Prompt:
“Rewrite this text in the style of a modern tech magazine: [insert text].”
13. Problem-Solving Prompts
Great for debugging, coding, customer support, or workflows.
Example
Prompt:
“I’m getting this PHP error: ‘Identifier already declared.’ Explain the cause and give a fix.”
14. Comparative Prompts
These ask the AI to compare items, methods, or choices.
Example
Prompt:
“Compare Agentic AI and traditional automation in simple terms.”
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15. Creative Expansion Prompts
Used for brainstorming ideas, content, or marketing campaigns.
Example
Prompt:
“Give me 20 creative marketing ideas for promoting our AI workbook on doerdigitalz.com.”
Conclusion
Prompt engineering is not just about typing instructions—it’s about giving AI clarity, structure, and purpose.
As AI evolves, mastering these prompt types will help you produce more accurate, creative, and high-value results.
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