Prompt Engineering: 5 Frameworks That Actually Work

If you've ever felt like ChatGPT is giving you generic, lazy answers, the problem usually isn't the AI—it's the prompt. Professional prompt engineers use specific "frameworks" to structure instructions. Here are the top three.

1. The ROSES Framework

This is excellent for business and task-oriented prompts:

• Role: Give the AI a persona (e.g., "Act as a Senior SEO Strategist").
• Objective: State exactly what you want to achieve.
• Steps: Break the task down.
• Examples: Provide sample data or tone.
• Style: Define the output format (Table, Markdown, etc).

2. The Few-Shot Technique

Instead of just asking for an output, give the AI 2-3 examples of what a "good" output looks like. This significantly reduces hallucinations and ensures the brand voice is consistent.

3. The Chain-of-Thought (CoT)

Ask the AI to "think step-by-step." This forces the model to process logic before outputting a final answer, which is crucial for math, coding, or complex strategy.

Using these frameworks will transform your AI interactions from casual chats into professional-grade outputs.