Michael Taylor’s career sits at the intersection of marketing, experimentation, and AI. He graduated with a master’s degree in Economics, then worked across a number of growth roles at startups before co-founding a marketing agency and growing it to 50 people. After exiting the agency, he turned to education, creating courses on LinkedIn and Udemy that have been taken by over 350,000 people, and writing a self-published book called Marketing Memetics.

That background in growth and experimentation turned out to be ideal preparation for generative AI. Michael is the co-author, with James Phoenix, of Prompt Engineering for Generative AI, published by O’Reilly, a book that treats prompting as an engineering discipline: testing outputs, evaluating quality, and building reliable LLM-powered products rather than hoping for good luck. His marketing roots also explain his focus on measurable results, an approach he carried from split-testing campaigns to evaluating language model behavior.

Today, Michael is focused on building AI products through Brightpool, putting into practice the techniques he teaches. His combination of startup experience, teaching at scale, and hands-on LLM engineering makes him a practical guide for anyone turning generative AI into products that actually work.