Alexey builds martech infra at the company with the most reason to trust AI to build it for them. He unpacks how Anthropic uses Terraform pull requests, a data warehouse doing more work than any vendor, and he explains why they built their own CDP instead of renting one.More
Tag Archives: AI agents
243: Is Chief of Staff the next big career move for marketing ops? with Lauren Stein
As a seasoned Chief of Staff, Lauren reflects on now seeing that title showing up explicitly in job postings recruiting straight out of marketing ops. If you’ve ever felt like your marketing ops seat puts you closer to the executive table than your title suggests, this one maps out exactly how to test that.More
242: It’s the end of Lifecycle Marketing as we know it and here’s what’s next, with Anna Gelfand
Anna breaks down what codification actually does to the job, why she built digital twins of 100 real customers to test campaigns without ever bothering a live user, and how the smartest lifecycle teams are quietly refusing to be called the email team.More
241: Rebuilding how marketing works around AI and avoiding random acts of AI, with author Melissa M. Reeves
What would your marketing team look like if AI had always existed? Melissa spent 30 years studying how organizations actually change, from the floor of a Japanese truck factory to the front lines of agile marketing, and her answer starts with ripping out an org chart designed in 1911.More
240: The Fall of lead scoring and MQLs and the rise of Agent Qualified Leads, with Gary Amaral
Gary’s built some of the wildest lead scoring setups in his day, one of them actually crashed a Marketo pod and took dozens of companies down with it. Then he co-founded a lead scoring company Breadcrumbs, sold it to MadKudu, and along the way, he started questioning the whole scoring and MQL thing. Scores infer what buyers want, but today an AI agent can just ask them. More
236: What AI replaces in data work and when not to reach for it with Julie Beynon
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
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