Improve ChatGPT Prompts with Priming (Part 2)

Video Description

The second part of this series describes Level 5 Priming! Everyone is pitching the best ChatGPT Prompt... Try GPT Priming instead: Priming is the best way to formulate better results by inputting related information before requesting a response: -Allows for variability in your GPT chat dialogue later in the string -Eliminates the need to create multiple chats -Produces more precise results -Improves your overall experience ChatGPT Resources: Not another newsletter!! You've got plenty of those... This email won't discuss the news and it will only show up when I've got something very worthwhile to share like: - Incredible new ChatGPT Prompts, - Excellent marketing tools, - Powerful automated workflows - The Most useful marketing tips and tricks you can imagine https://newsletter.lawtonlearns.com You can opt-out anytime with one click and it's totally free. Free resources for Role Options, Tone/Writing Style Options and format https://lawtonsolutions.com/resources/ Other related AI Priming Videos: https://lawtonsolutions.com/How-To-AI/ LEVEL 5 PRIMING FIRST: I am going to provide you with several variables that I will define via the following = [variable]. I want you to remember these variables for later use. Then we will use these variables to create specific content that I request. Please confirm you understand these instructions by responding, “Read,” and we will proceed to the next step. THEN: I want you to store the following example of X in the variable [Variable 01]. [Variable 01] = "populate this with the example information" THEN ADD MORE: I want you to store the following example of X in the variable [Variable 02]. [Variable 02] = "populate this with the example information" FINALLY, HAVE CHATGPT EXECUTE THE TASK BASED ON THE VARIABLES: Now that you have ingested these different variables, please act as an expert "XYZ" with two decade of experience. Based on the variables, [Variable 01] and [Variable 02], please write "CONTENT" with the following components: