The show where GTM gets built, not talked about.
Every episode is a thing you watch, then run, then prove. No theory that ends at the credits. You leave with a playbook and the receipt from a real build.
Clone the Built GTM starter kit and run the episodes on your own repo: the CLAUDE.md brain, context templates, the core skills, and a worked example. Substance-first, runnable on clone.
The AI-Native GTM Operating System
Four episodes on how AI-native GTM actually gets built: the loop, the context, the signal-to-motion, and the closed loop that makes it compound. Watch each one, then run its playbook, in order.
Start here: the whole series as one playbook →The AI-Native GTM Playbook: Build, Buy, Keep
Hiring a GTM engineer will not fix your GTM. Run the loop, Solve, Stack, Split, on the one workflow that costs you the most.
Context Is the Product. The Tool Is Just the Output.
Context, not tooling, is the moat, but bad context in is bad output out. Nail your ICP, positioning, and voice first, then build the one repo any agent can run on.
Signal Without a Motion Is Just a Dashboard
A signal is worthless until it fires, decays, and combines. Build the signal library, then wire it to a booked motion while intent is hot.
The Loop
Close the loop on the system you built: feed outcomes back into your ICP and signal library so it proposes its own improvements and compounds.
New episode, new playbook, every drop.
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