What I Learned by Making an AI Agent Read My Company's Mind
Most of the AI conversation in marketing today runs in one of two directions. There’s the outside-in direction — competitive intelligence, analyst coverage, social listening — where AI helps you understand the market. And there’s the forward direction — campaigns, ABM, lead nurturing — where AI helps you move people through a funnel.
What’s almost never discussed is the third direction: inside-out. What happens when you point an AI agent at your own company’s internal knowledge — specs, tickets, call transcripts, win/loss notes — and ask it to do the unglamorous but critical work of product marketing? Not “tell me about the market,” not “write me an ad,” but: generate the battle card, draft the release note, and tell me if what we’re saying externally still matches what’s true internally.
That third lane is what I wanted to explore. So I built PMM Second Brain — a working AI agent, backed by a real (if fictional) company’s internal wiki, that produces actual PMM deliverables and catches messaging drift before a customer does.
This post is the story of how it came together: the thinking behind it, the architecture, the build process, and a few things I learned along the way — including some genuinely humbling moments getting it to run on my own laptop.
https://yotam.substack.com/p/building-a-second-brain-for-product