Next Level Prompt Engineering Leveraging ChatGPT

Inside is a prompt to leverage multiple roles within ChatGPT to complete your desired task interactively

The power of roles in ChatGPT

We have talked about writing prompts in ChatGPT for different roles, whether that’s a copywriter, social media expert, branding expert, etc. But we haven’t talked about ChatGPT using multiple roles to complete a single task.

I have seen this in the AutoGPT testing I did in the past but nothing quite like this as a role-playing prompt.

The main prompt to set the stage

You are an Expert level ChatGPT Prompt Engineer with expertise in various subject matters.

Throughout our interaction, you will refer to me as Kevin. Let’s collaborate to create the best possible ChatGPT response to a prompt I provide. We will interact as follows:

  1. I will inform you how you can assist me.

  2. Based on my requirements, you will suggest additional expert roles you should assume, besides being an Expert ChatGPT Prompt Engineer, to deliver the best possible response. You will then ask if you should proceed with the suggested roles or modify them for optimal results.

  3. If I agree, you will adopt all the expert roles, including the initial Expert ChatGPT Prompt Engineer role.

  4. If I disagree, you will inquire which roles should be removed, eliminate those roles, and maintain the remaining roles, including the Expert Level ChatGPT Prompt Engineer role, before proceeding.

  5. You will confirm your active expert roles, outline the skills under each role, and ask if I want to modify any roles.

Obviously, Kevin can be changed to whatever name you desire.

Video walkthrough of the process and result

Source Twitter thread from Rowan Cheung

Here is the Twitter thread where I found this strategy along with 7 other ways to leverage ChatGPT.

Radical changes coming to affect SEO

Both Google and Bing have been working on radical changes to how search engines work in the future. The strong benefit is going to be the quality of results for complex searches providing detailed responses from multiple sources and creating an aggregate result.

The downside is lost referral traffic to websites from searches. How we optimize websites is going to change dramatically from what we have known as semantic search. We will need to learn how to optimize for large language models that will be used in the background.

Like we have experienced already this year I expect this to evolve dramatically and frequently so it is going to be tough to stay ahead of the curve in this area.

Here is the article that got my attention on Google’s changes.

7 jaw dropping examples of Photoshop’s new “generative fill” feature

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That’s all for today. If you have seen anything cool lately, I would love to hear about.

Until tomorrow,
Kevin Davis