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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.