In this second episode of our special seven-part series, Refining Your Prompts: Getting Specific with ChatGPT, Jonathan Kyle Hobson walks listeners through the critical process of transforming vague prompts into detailed, targeted inputs that produce the desired outcomes. Building on the foundational skills from the first episode, this episode focuses on how adding context, goals, and specific details can significantly improve your results when working with ChatGPT.

Using real-world examples, such as crafting social media content for Brew Bliss, a local coffee shop, Hobson demonstrates techniques like example prompting, keyword prompting, and goal prompting to help you refine your AI interactions. Listeners will learn how to guide AI outputs more effectively, ensuring they align with your creative and business objectives. This episode also introduces delimiter prompting, a method to structure your prompts more clearly and get even more accurate results from AI.

Whether you're refining social media posts, brainstorming content ideas, or automating tasks, this episode provides actionable insights that will help you elevate your AI prompting skills.

📝 Want to take your learning further?

Check out Jonathan's Coursera Guided Project: ChatGPT for Beginners: Create Social Media Content. This beginner-friendly course gives you a step-by-step guide to using ChatGPT for content creation. Enroll today to earn your certificate and transform your approach to digital marketing.

👉 Enroll in the guided project here

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