Comprehensive Guide on Prompt Engineering

# Comprehensive Guide on Prompt Engineering

Create a detailed, practical guide to prompt engineering for [AUDIENCE — e.g., beginners, marketers, developers].

## Guide Structure

### 1. What Is Prompt Engineering?
- Definition and why it matters
- How LLMs interpret prompts

### 2. Core Principles
- Clarity and specificity
- Context setting
- Role assignment ("Act as...")
- Output format specification

### 3. Key Techniques
- **Zero-shot prompting** — asking without examples
- **Few-shot prompting** — providing 2–3 examples
- **Chain-of-thought** — asking the model to reason step by step
- **ReAct / agentic patterns** — for multi-step tasks

### 4. Prompt Templates for Common Use Cases
Provide ready-to-use templates for:
- [USE_CASE_1 — e.g., writing blog posts]
- [USE_CASE_2 — e.g., summarizing documents]
- [USE_CASE_3 — e.g., generating code]

### 5. Common Mistakes & How to Fix Them
- Vague prompts → how to add specificity
- Over-complicated prompts → simplification strategies
- Inconsistent outputs → adding constraints

### 6. Advanced Tips
- Iterative refinement
- Using system vs. user prompts
- Temperature and parameter control (where applicable)

### 7. Practice Exercises
Include 3 exercises with model answers for [AUDIENCE].

Write in a clear, educational tone. Use examples throughout. Aim for something someone could learn from in under 30 minutes.