Julie came into data sideways from content marketing and turned that into a 15-year career running lean data teams at some of the coolest martech startups in the landscape. In this episode she breaks down how they cloned their best analyst into an AI agent named JimBot, why she pushes back on AI projects without ever saying no, and how she gets companies to fund the invisible foundation work nobody claps for.More
Tag Archives: agentic
234: How to run a marketing ops audit and turn it into a roadmap, with Kelsie Dube
Sharon walks through why taste is now codifiable, why originality still belongs to humans, and how she pulled a McKinsey-grade deck out of Claude by feeding it her own best work. We get into the lost generation of junior executors and the beekeeper mindset that separates orchestrators from busy bees.More
232: How taste can be codified into systems and is no longer a durable skill, and what’s next with Sharon Gai
Sharon walks through why taste is now codifiable, why originality still belongs to humans, and how she pulled a McKinsey-grade deck out of Claude by feeding it her own best work. We get into the lost generation of junior executors and the beekeeper mindset that separates orchestrators from busy bees.More
228: The Dispatch tower (The Dungeon of martech architecture, part 4)
Every vendor in your stack just turned on an agent. Your ESP has one. Your CDP has one. Your MAP has one. None of them know what the others are doing, none of them were told to check, and nobody volunteered to referee it. Welcome to the final floor.More
226: The Eye of context (The Dungeon of martech architecture, part 2)
Agents operating on data without anything to help them causes “believable nonsense.” Data quality stops agents from misrepresenting what the warehouse contains but you need context engineering to put the right meaning, rules, and situational information in front of the model at the right moment.More
224: Keith Jones: How OpenAI’s GTM leader structures teams and spots standout candidates
Keith walks through the full restructuring journey of the GTM org at OpenAI and how GTM Systems ended up under finance. He shares his interview process, the two archtypes that make up his team as well as his filter for separating human candidates from AI-generated applications.More
214: Austin Hay: Claude Code is creating a new class of elite marketers and the mental models that make it click
You’ll be hard pressed to find someone that understands martech and is more advanced in their Claude Code journey than Austin Hay. He maps the 2 chasms separating most marketers from big AI leverage, makes the case for a new class of professional he calls the white collar super saiyan, and walks through the automations he’s actually built.More
212: Tobias Konitzer: The Causal AI revolution and the boomerang effect in marketing decision science
Tobi challenged marketing’s fixation on prediction. He has built highly accurate LTV models, but accuracy alone does not move revenue. Marketing is intervention. Correlation shows patterns; causality tells you what happens when you pull a lever. That shift reshapes experimentation, explains why dynamic allocation can outperform static A B tests, and highlights how self learning systems can backfire or get stuck in local maxima.More
191: Aboli Gangreddiwar: Self healing data agents, hivemind memory curators and living documentation
Aboli and Phil explore AI agent use cases like self-healing data quality agents, AI hivemind memory curator, documentation agents and AI browsers and a bunch more!More
188: Rebecca Corliss: Why lifecycle marketers will thrive in the agentic marketing org
Rebecca imagines a future marketing org built on three layers: leadership fluent in data and AI, a dispatch control tower staffed by engineers and privacy experts, and pods that design customer journeys while agents handle scale. More