Go-to-market is being rebuilt around AI.
I'm in the rebuild.
Latest thinking
All writing →You can't campaign your way onto the shortlist.
In 81% of B2B deals, the buyer contacts the vendor at the top of their list first and buys from them. By the time most ABM programs start, the list is already made. Which makes account selection the job, not campaign execution.
AI reads your data before it reads your campaign.
An AI-personalized send congratulates a VP on the job title she left in 2021. The model did exactly what it was told. It read the record and acted on it. The record was the problem.
Your pipeline gets a weekly review. Your AI doesn't.
Revenue orgs built a review ritual for every asset they own, then handed AI the workload of a team with the oversight of a vending machine. Here is the meeting that fixes it: who runs it, what's on the dashboard, and what triggers an intervention.
Currently
AI Playground.
Building an interactive tool where sales and marketing teams can pressure-test their own messaging live, on this site. Powered by the Mistral API.
soonRevOps & Agents.
Mapping how revenue operations changes when every rep has an AI agent. What gets automated, what gets harder, and who owns the eval layer.
Eval-Driven GTM.
Reading everything on measuring AI output the way we measure pipeline. Signal-based outreach, intent data, and the discipline RevOps already has for this.
Building at the same intersection?
Always glad to compare notes.