Module 12 of 13 in the AI Track, a free, self-directed curriculum for building AI that moves revenue.
The idea
This is where it all comes together: the Track 1 models, the LLM stack, and whatever go-to-market experience you’re bringing. Lead scoring and prioritization, with a boosted tree and LLM enrichment working together. Signal-based targeting and personalization at scale, which is the substance behind “signals beat spray-and-pray”. The real math on an AI SDR versus a human one, building on “what an SDR really costs”. Deliverability, and not torching a domain with AI volume. Generative Engine Optimization. And AI across the rest of the funnel, from content to ad creative to lifecycle email.
Why it matters
This is the part no pure engineer and no pure marketer can copy. Engineers can build the system but can’t tell you which number it should move. Marketers know the number but can’t build the thing. Being able to do both is the whole position. Everything in modules 1 through 11 exists so you can do this one well.
Build this
A documented, end-to-end AI sales system with a real before-and-after number. This is the centerpiece of the whole track. One system, shipped, with the metric it moved written down next to it.
How to work through it
- Pull the resources posts into one coherent point of view on AI for GTM
- Work through the docs for the GTM stack you actually run (Clay, Apollo, Instantly, HubSpot)
- Ship one full system for a real client and capture the before and after
Resources
- The Everyway resources posts, as a starting point
- Vendor docs for whatever GTM stack you run
- Primary practitioner writing, not hype threads