Prompt Engineering Masterclass

Introduction to Prompt Engineering

Prompt engineering is the practice of crafting inputs to AI models to achieve desired outputs.

The Framework

1. Context Setting

Always provide context. Instead of "Generate a logo", try "Generate a modern, minimalist logo for a tech startup called 'Nexus' that specializes in cloud computing."

2. Specificity

• Too vague: "A nice picture"
• Just right: "A photorealistic golden retriever in autumn leaves, shallow depth of field"
• Too specific: Can constrain creativity

3. Format Instructions

Specify output structure: "3 bullet points" or "headline under 10 words"

Advanced Techniques

• Chain of Thought: Break into steps
• Few-Shot Learning: Provide examples
• Role-Based: Assign a persona

Image Generation Tips

Composition: rule of thirds, centered, dynamic angle, negative space

Lighting: golden hour, blue hour, high key, chiaroscuro

Style: Combine aesthetics for unique results

Common Mistakes

1. Being too vague
2. Contradicting instructions
3. Not iterating

Next Steps

• Image generation
• Content safety