Should You Build a Custom GPT?

In this episode we interview Mick Essex, Head of Growth Marketing at Powr. He shows how small teams turn repeatable work into time-saving custom GPTs that actually ship. See Powr's custom GPTs.What you'll learn in this episode:The simple rule to decide prompt vs GPT: when you repeat a similar prompt three times, make a GPT instead. How adding a clear knowledge base and iterating with “always” and “never” instructions sharpens results fast. A blueprint for an Article Draft Inspector that checks meta titles, FAQs, and image alt text—scaling edits from a few per day to dozens. An A/B sample sizer that prevents bad data by calculating the right audience and duration before you test. An email spam checker that flags risky words, suggests safer language, and can rewrite the message on the spot. An AEO optimizer that reads page source and suggests schema and copy tweaks to earn AI citations. A GA4 assistant concept that maps LLM citations and ties them to conversions with step-by-step explorations. How “Ninja teams” pair an engineer, PM, marketer, and support to build connectors without bloat. Why many of Mick’s GPTs are public—and why the GPT Store options are free. A fast start: list the repetitive, time-heavy tasks, explain the problem and time cost, then ask ChatGPT to convert it into a custom GPT.Text us what you think about this episode!