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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.
