Step 1: Break prompts into components
Use components like role, objective, context, constraints, and format. Modular prompts are easier to improve.
Prompt Engineering Basics
Prompt engineering is the practice of designing instructions that AI models can interpret correctly. This guide covers essential concepts you can apply to ChatGPT, Midjourney, and other AI systems.
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Step-by-Step Guide
Step 2: Use explicit constraints
Add strict limits such as max words, output schema, forbidden topics, or required sections.
Step 3: Evaluate and iterate systematically
Test multiple prompt versions, compare outputs, and keep the highest-performing prompt templates.
Example Prompts
1.You are a technical editor. Summarize the following text into 5 bullet points, each under 20 words.
2.Create three prompt variants for a fantasy landscape image, each with different lighting and camera composition.
3.Generate a JSON object with title, audience, keyPoints, and CTA for a marketing email.