OPENAI GPT GUIDE

Master GPT-4 &ChatGPT Prompts

The definitive guide to prompt engineering for OpenAI's most powerful models

GPT-4: 0K
Context
GPT-3.5: 0K
Context
0%
Function Calling
Vision
Capable
Reading Progress0%

Why This Guide Exists

Most people use ChatGPT like a search engine, typing quick questions and getting mediocre results. But with the right prompting techniques, you can unlock GPT-4's full potential and get responses that are more accurate, creative, and useful than you ever thought possible.

Why Prompts Matter

73%
of users get poor results due to ineffective prompting

Most people treat AI like a search engine, leading to generic responses. Proper prompting can improve output quality by 5-10x.

What Makes a Good Prompt

6
key elements separate great prompts from mediocre ones

Clear intent, specific context, desired format, constraints, examples, and role definition create consistently better results.

Quick Start Examples

3x
better results with simple improvements

Adding just "Be specific and detailed" to your prompts can triple output quality. Small changes, massive improvements.

See the Difference

Small changes in prompting technique create dramatically better results

Typical Prompt
Write a blog post about AI
Optimized Prompt+340% specificity
Write a 1,200-word blog post about AI's impact on healthcare for medical professionals. Include recent case studies, ethical considerations, and practical implementation steps.
Typical Prompt
Help me with my resume
Optimized Prompt+250% relevance
As a senior HR manager, review my software engineer resume and provide specific feedback on: technical skills presentation, project descriptions, and overall structure. Format as a bulleted action plan.

Core Principles

Master these fundamental techniques to dramatically improve your GPT-4 and ChatGPT results.

Advanced Strategies

Unlock GPT's full potential with these advanced prompting techniques and optimizations.

Few-Shot Examples

Number of examples:
2
Example 1:
Input: Product: iPhone 14
Output: Category: Electronics, Brand: Apple, Price: $799, Features: A15 chip, dual camera, 6.1" display
Example 2:
Input: Product: Tesla Model 3
Output: Category: Automotive, Brand: Tesla, Price: $40,000, Features: Electric, autopilot, 15" touchscreen
Performance Impact
50%
Accuracy
30%
Consistency
20%
Speed

Chain-of-Thought

Show reasoning steps
Math Problem:
"A store has 120 apples. They sell 30% in the morning and 25% of the remainder in the afternoon. How many apples are left?"
Without Chain-of-Thought:
63 apples are left.

System vs User Messages

User Message Example:
What are the benefits of renewable energy? Please provide a detailed analysis.

Parameter Tuning

Temperature0.7
Lower = more focused, Higher = more creative
Top-p0.9
Controls diversity of word choices
Output Preview:
Balanced responses with good variety

Structured Output & JSON

JSON Schema Builder

{ "type": "object", "properties": { "summary": {"type": "string"}, "key_points": { "type": "array", "items": {"type": "string"} }, "confidence": { "type": "string", "enum": ["high", "medium", "low"] } }, "required": ["summary", "key_points"] }

Function Calling

{ "name": "get_weather", "description": "Get current weather", "parameters": { "type": "object", "properties": { "location": { "type": "string", "description": "City name" } }, "required": ["location"] } }

Copy-Ready Templates

Analysis

Document Analysis Template

Creative

Story Writing Template

Technical

Code Review Template

Business

Meeting Notes Template

User vs System Message Strategy

systemhigh

Role Definition

Sets the AI personality and expertise level

You are an expert data analyst who explains complex statistics in simple terms for business stakeholders.
systemhigh

Output Format

Ensures consistent, parseable responses

Always respond in JSON format with "analysis", "recommendations", and "confidence_score" fields.
usermedium

Context Sharing

Provides background for better recommendations

I am a startup founder analyzing user feedback for a mobile app with 10k users.
userhigh

Task Instructions

Clear, specific task with measurable outcomes

Analyze the sentiment of these 50 customer reviews and identify the top 3 improvement areas.

Interactive Message Builder

Generated user message with professional tone:
Please analyze the following data using a professional approach. Provide insights that would be valuable for decision-making in this context.

Model Comparisons

Choose the right model for your specific needs and budget.

Feature
GPT-3.5
GPT-4
GPT-4.1
Context Window
16K tokens
32K tokens
128K tokens
Cost per 1K tokens
$0.002
$0.06
$0.06
Response Speed
Fast
Medium
Medium
Reasoning Quality
Good
Excellent
Superior
Function Calling
Basic
Advanced
Advanced
Vision Capabilities
None
Yes
Enhanced

Cost Calculator

Monthly Costs:
GPT-3.5:$0.20
GPT-4:$6.00
GPT-4.1:$6.00

When to Use Each

Simple Q&A and basic tasks

GPT-3.5

Cost-effective for straightforward queries

Complex analysis and reasoning

GPT-4

Better logic and understanding

Long document processing

GPT-4.1

Larger context window

Image analysis and vision tasks

GPT-4 Vision

Native multimodal capabilities

Common Mistakes

Avoid these pitfalls to get consistently better results from GPT models.

Smart Prompt Analyzer

Enter a prompt above to see detailed analysis and improvement suggestions.

Interactive Playground

Test your prompts with full parameter control and real-time feedback.

GPT Prompt Laboratory

Parameters

Temperature0.7

Templates

Saved Prompts

(0)
No saved prompts yet

Session Stats

Prompts Tested:0
Total Tokens:0
Estimated Cost:$0.00

Best References & Resources

Continue learning with these curated resources from experts and practitioners.

OpenAI Official Documentation

Official

Complete API reference and best practices directly from OpenAI

Key Takeaway:
Authoritative source for technical specifications and parameter details

Prompt Engineering Guide by DAIR.AI

Academic

Comprehensive academic approach to prompt engineering techniques

Key Takeaway:
Research-backed strategies and systematic approaches to prompting

OpenAI Cookbook

Practical

Practical examples and code snippets for real-world applications

Key Takeaway:
Ready-to-use code examples and implementation patterns

Anthropic Prompt Engineering

Comparative

Cross-platform insights and comparative techniques

Key Takeaway:
Understanding differences between AI models and when to use each

Master GPT Prompting Today

Download the complete guide with all examples, templates, checklists, and advanced techniques for offline reference.

12k+ downloads
4.9/5 rating
85 pages

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