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Prompt Engineering Guide

GPTClaudeDeepSeek··▲ 1,310 copies·updated 2026-07-14

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# Prompt Engineering Guide

## Introduction

Prompt engineering is the practice of crafting effective instructions for AI language models like ChatGPT to produce high-quality, relevant responses. This guide covers 10 core techniques that will help you get better results from your interactions with ChatGPT.

Based on research analyzing 700 million ChatGPT conversations, we know that well-engineered prompts can dramatically improve response quality. Users who employ "Asking" patterns (seeking advice and decision support) achieve quality ratings of 4.5:1 (good to bad responses), compared to 3.2:1 for basic "Doing" patterns.

## The 10 Core Techniques

### 1. Role Prompting

**Definition**: Assigning ChatGPT a specific role, persona, or expertise level to frame responses appropriately and leverage domain-specific knowledge.

**Why It Works**: By establishing a role, you activate relevant knowledge domains and set expectations for the tone, depth, and perspective of the response.

**Implementation Pattern**:

when to use it

Community prompt sourced from the open-source GitHub repo everythinggenai1/awesome-prompts (MIT). A "Prompt Engineering Guide" style prompt — adapt the placeholders and specifics to your task. Imported as-is and not independently retested here, so check the output before relying on it.