We are introducing AI prompt engineering as a core function across our content and marketing seats, but our current team members claim they do not have the technical background to do this. How do we assess if our current staff has the GWC™ to absorb these AI operational requirements, or if we need to hire specialized seats?

Question

Tyler Smith · Accepted Answer

Many owners assume that using generative AI tools requires a computer science degree. This misconception leads to unnecessary hiring and organizational bloat on the Accountability Chart. To determine if your current team can handle these new responsibilities, you must run them through a rigorous GWC™ filter based on the updated roles of their seats.

First, redefine the roles of your marketing and content seats on your Accountability Chart to explicitly include AI prompt development, output verification, and brand voice alignment.

Second, evaluate your existing team against these updated roles.
- Get It: Do they understand how generative AI fits into their workflow to increase output? Or are they terrified that the technology will replace them, causing them to secretly resist it?
- Want It: Are they eager to learn these new skills to make their jobs more efficient? Or are they clinging to legacy, manual processes out of comfort?
- Capacity: Do they have the logical thinking, language skills, and intellectual curiosity to write clear prompts and audit the outputs?

Prompt engineering is primarily about clear communication, structured logic, and domain expertise, not coding. If your team members possess these traits, they have the capacity; they simply require training. You must provide them with the resources and clear performance expectations.

If, after training, a team member still fails to produce high-quality AI outputs or refuses to use the tools, they no longer fit the capacity requirements for their redefined seat. In that scenario, you have a right person in the wrong seat. You must replace them with a modern marketer who understands how to operate an AI-powered pipeline.