In this AI Quick Take episode, I explore the critical concept of prompt engineering. This skill is fundamental in transforming how you use AI tools like ChatGPT, Claude, and Perplexity in your professional work. Most people are using these robust AI systems like glorified search engines, but to unlock their full potential for marketing, sales enablement, and content creation, mastering prompt engineering is essential.

AI systems are competent, but they need context, constraints, and clear objectives to deliver truly valuable results. In the episode, I will review the Five Layer Framework for crafting effective prompts: 

1. Define the role and context

2. Set specific objectives

3. Clarify audience and use case

4. Establish format and constraints

5. Define success criteria

I also walk through practical examples in market research, campaign planning, and sales enablement, showing how this structured approach can save 20-30 hours of manual work while delivering superior results.

Key Topics Covered:

• "(00:00:00) - Episode Introduction"
• "(00:03:00) - What is Prompt Engineering?"
• "(00:06:00) - Basic vs. Engineered Prompt Example"
• "(00:07:00) - The Five Layer Framework"
• "(00:11:00) - Using AI to Help Create Better Prompts"
• "(00:12:00) - Market Research and Analysis Applications"
• "(00:14:00) - Campaign Strategy and Planning"
• "(00:15:00) - Sales Enablement Applications"
• "(00:16:00) - Advanced Prompt Engineering Techniques"
• "(00:20:00) - Common Mistakes to Avoid"
• "(00:21:00) - Closing and Resources"

For a detailed walkthrough of AI prompt engineering, ⁠check out our "How To" guide.⁠

If you are interested in discussing this or any other topic, let's have a chat.  ⁠Reach out to me directly⁠ to schedule a no-obligation discussion. This isn't a sales call, but rather an opportunity to talk through your LinkedIn questions and challenges.

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