Everyone's racing to build the AI tool: the scoring agent, the enrichment flow, the account brief. But the tool is just the output, and the output is only as good as the context you feed it.
This episode flips the game. In AI-era GTM, the leverage isn't in the build. It's in the input.
We open up the actual context repo behind agents running in production, show why GTM teams need to manage their intelligence the way engineers manage code, and walk through the one repo you can stand up this week to make every tool you already own sharper.
Walk away knowing exactly what to store, how to structure it, and how to keep it from rotting.
What You'll Learn:
Why the tool is downstream of the context, and where your leverage really sits
How to structure a GTM context repo an LLM can actually read
What breaks first when your context rots, and how to prevent it