AI Tools · Prompt Engineering

Best ChatGPT Prompts: Complete Guide with Examples (2024)

Ajith Kumar M

Ajith Kumar M

Product Marketing Expert

10 min read · December 22, 2024 · LinkedIn
ChatGPT Prompts Guide

If you have ever felt frustrated because ChatGPT did not give you the answer you wanted, the problem is usually not the AI. It is the prompt. A vague or poorly structured prompt leads to generic, unhelpful responses. A well-crafted prompt gets you exactly what you need in seconds.

This guide will show you how to write effective ChatGPT prompts with ready-to-use templates, practical examples, and proven frameworks. Whether you need help with coding, content writing, data analysis, or brainstorming, you will find actionable prompts you can use right now.

What Are ChatGPT Prompts?

A ChatGPT prompt is the instruction or question you give to the AI to get a response. The quality of your prompt directly affects the quality of the output. A good prompt is clear, specific, and provides enough context for ChatGPT to understand what you need.

Think of prompts as the input to a function. The better your input, the better your output.

Why Most Prompts Fail

Most people write prompts that are too vague or too broad. Here are common mistakes:

  • Too generic: "Write a blog post." (About what? For whom? In what style?)
  • No context: "Fix this code." (What is the code supposed to do? What is broken?)
  • Unclear expectations: "Help me with marketing." (What kind of help? What is your goal?)

The solution is to follow a structured framework that forces you to be specific.

The Perfect Prompt Framework

Use this framework to write better prompts every time:

The R-T-F Framework

  • Role: Tell ChatGPT what role to play (e.g., "You are a senior Python developer")
  • Task: Describe exactly what you want (e.g., "Write a function to sort a list")
  • Format: Specify how you want the output (e.g., "Provide code with inline comments")

This simple structure eliminates ambiguity and gives ChatGPT clear direction.

Example: Bad Prompt
Write a Python script for data analysis.
Example: Good Prompt (R-T-F Framework)
You are an experienced data scientist. Write a Python script that loads a CSV file, cleans missing values, and generates summary statistics. Provide the code with clear comments explaining each step.

See the difference? The second prompt gets you production-ready code instead of a generic template.

Writing Effective Prompts: Techniques and Examples

1. Be Specific About the Output Format

Always tell ChatGPT how you want the response structured. Use phrases like:

  • "Provide a bulleted list"
  • "Format as a table"
  • "Write in markdown"
  • "Give me 5 examples"
  • "Explain in 3 steps"
Prompt: Structured Output
List 5 benefits of cloud computing. Format your response as a table with columns: Benefit, Description, and Business Impact.

2. Provide Examples (Few-Shot Prompting)

Show ChatGPT what you want by giving 1-2 examples. This technique dramatically improves accuracy.

Prompt: Few-Shot Learning
Convert the following product descriptions into concise marketing copy:

Example 1:
Input: "A wireless mouse with 2.4GHz connectivity and ergonomic design."
Output: "Work comfortably all day with our ergonomic wireless mouse."

Example 2:
Input: "Noise-cancelling headphones with 30-hour battery life."
Output: "Tune out distractions with 30 hours of pure sound."

Now convert this:
Input: "Portable SSD with 1TB storage and USB-C fast transfer."

3. Use Constraints to Get Precise Results

Set limits on word count, tone, style, or complexity.

Prompt: With Constraints
Explain quantum computing in exactly 100 words. Use simple language suitable for a high school student. Avoid technical jargon.

Coding Prompts: Ready-to-Use Templates

Here are production-quality prompts for developers:

Debugging Code

Prompt: Debug Code
You are a senior JavaScript developer. Here is my code:

[paste your code]

The code is supposed to [describe expected behavior] but instead it [describe actual behavior]. Identify the bug, explain why it happens, and provide the corrected code.

Code Review

Prompt: Code Review
You are a code reviewer. Review this Python function for:
- Performance issues
- Security vulnerabilities
- Code readability
- Best practices violations

[paste code]

Provide specific suggestions with corrected code examples.

API Integration

Prompt: API Integration
Write a Python script that calls the OpenWeather API, fetches the current weather for a given city, and returns a JSON object with temperature, humidity, and weather description. Include error handling for invalid city names and API failures.
Example Output:
import requests def get_weather(city, api_key): """Fetch weather data for a city.""" try: url = f"https://api.openweathermap.org/data/2.5/weather?q={city}&appid={api_key}" response = requests.get(url) response.raise_for_status() data = response.json() weather = { "temperature": data["main"]["temp"], "humidity": data["main"]["humidity"], "description": data["weather"][0]["description"] } return weather except requests.exceptions.HTTPError as e: return {"error": f"City not found: {city}"} except Exception as e: return {"error": str(e)}

Content Writing Prompts

Blog Post Outline

Prompt: Blog Outline
You are a professional content strategist. Create a detailed blog post outline for the topic: "How to Choose the Right Project Management Tool".

Include:
- Introduction hook
- 5 main sections with subheadings
- Key points to cover in each section
- SEO-friendly conclusion

Target audience: SaaS product managers

Email Copy

Prompt: Cold Email
Write a cold outreach email to a potential B2B client. Goal: Book a 15-minute product demo call.

Product: AI-powered sales analytics platform
Audience: Sales directors at mid-size companies
Tone: Professional but conversational
Length: Under 120 words

Include a clear call-to-action and personalization placeholder.

Social Media Content

Prompt: LinkedIn Post
You are a LinkedIn content strategist. Write a LinkedIn post about "The importance of technical documentation in software teams".

Requirements:
- Start with a hook that grabs attention
- Include 3 specific benefits
- End with a question to drive comments
- Keep it under 200 words
- Use line breaks for readability

Prompt Types Comparison Table

Prompt Type Best For Key Strength Example Use Case
Zero-Shot Simple, one-off tasks Fast and direct "Summarize this article"
Few-Shot Pattern matching tasks Shows expected format Converting data formats
Chain-of-Thought Complex reasoning Step-by-step thinking Math problems, logic puzzles
Role-Based Expert-level outputs Context-aware responses "You are a lawyer reviewing a contract"
Constrained Precise requirements Controlled output "Explain in exactly 50 words"

Best Practices for Writing Prompts

1. Iterate and Refine

Your first prompt will rarely be perfect. Use these techniques to improve:

  • Add context: If the response is generic, add more background information
  • Clarify constraints: Specify length, tone, format, or style
  • Ask for alternatives: "Generate 3 different versions of this"
  • Request explanations: "Explain your reasoning step-by-step"

2. Use System-Level Instructions

For recurring tasks, set system-level behavior at the start of a conversation:

Prompt: System Instruction
For this entire conversation, act as a senior UX copywriter. All responses should:
- Use clear, concise language
- Avoid jargon
- Focus on user benefits
- Follow Nielsen Norman Group guidelines

3. Break Complex Tasks into Steps

Instead of asking for everything at once, use a multi-step approach:

  1. First, ask for an outline or structure
  2. Then, ask to expand each section
  3. Finally, ask for refinement or editing
Prompt: Multi-Step Approach
Step 1: "Create an outline for a user onboarding flow for a project management app."

[Review outline]

Step 2: "Now expand the 'Account Setup' section with specific screens and actions."

[Review expansion]

Step 3: "Write microcopy for the account setup screen."

4. Combine Multiple Techniques

The most effective prompts use several techniques together:

Prompt: Combined Techniques
You are a technical writer [ROLE] specializing in API documentation.

Task: Write documentation for a REST API endpoint that creates a new user.

Format the response as follows [FORMAT]:
1. Endpoint description (1-2 sentences)
2. Request parameters table (name, type, required, description)
3. Example request (JSON)
4. Example response (JSON)
5. Possible error codes

Constraints [CONSTRAINTS]:
- Use clear, concise language
- Include realistic example data
- Explain each error code

Frequently Asked Questions

How long should a ChatGPT prompt be?

There is no strict limit, but aim for clarity over length. A well-structured 2-3 sentence prompt is usually better than a vague paragraph. Include enough detail to eliminate ambiguity, but avoid unnecessary information.

Can I use prompts from this guide without attribution?

Yes, all prompts in this guide are free to use for any purpose. No attribution required.

What is the difference between a prompt and a custom instruction?

A prompt is a one-time instruction for a specific task. Custom instructions (available in ChatGPT Plus) apply to all conversations automatically. Use custom instructions for persistent preferences and prompts for specific tasks.

Why does ChatGPT sometimes ignore my prompt?

This happens when your prompt conflicts with ChatGPT's safety guidelines or when it is too vague. Make your prompt more specific, add context, or rephrase to avoid ambiguity.

Should I write prompts in a specific language or style?

Write prompts in plain English (or your preferred language). There is no need for special syntax or coding-style language. Clear, direct instructions work best.

Conclusion

Writing effective ChatGPT prompts is a skill that improves with practice. Start with the R-T-F framework (Role, Task, Format), be specific about what you want, and use the ready-to-use templates from this guide to get better results immediately.

The difference between a mediocre and an excellent ChatGPT response almost always comes down to the quality of the prompt. Invest time in crafting clear, structured prompts, and you will see a dramatic improvement in the usefulness of AI-generated content.

Bookmark this guide and refer back to these templates whenever you need them. The more you use these techniques, the more natural they will become.