Most people use AI like a chatbot: one short prompt, a back-and-forth, and a mediocre output that gets worse the longer the thread runs. In this Content to Close episode, Richmond Taylor breaks down a smarter way to think about AI across the whole go-to-market motion. Richmond uses the Feynman technique to simplify go-to-market into three connected functions, sales is how you speak, marketing is how you look, and customer success is how you get the second date, and explains where AI can take over 80 percent of the work in each. He digs into why prompt engineering is the single skill that determines whether AI helps you or hallucinates on you, walks through the four prompt categories (system, user, developer, assistant), and explains why one big detailed prompt beats twenty short follow-ups every time. If you want a practical view of where AI fits inside a real business cycle, and how to stop wasting tokens on prompts that contradict themselves, this episode is worth your time.

About Richmond

Richmond Taylor played professional soccer until he was 26, then channeled that discipline into building skills across sales, marketing, and customer success. He now runs his own business in the AI automation and education space, working with clients from enterprise down to SMB, and is the founder of a startup built to make prompt engineering easier for non-technical users. Richmond's perspective is that AI is not a replacement for creativity, it is a force multiplier for anyone willing to learn how to communicate with it.

Show Notes

- Connect with Richmond on LinkedIn: https://www.linkedin.com/in/richmondbtaylor/
- promptanything.io

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