Claude for GTM Workshop: Real Demos by Real Practitioners

Everyone is using Claude. LinkedIn is flooded with self-proclaimed AI experts showing setups that are either too abstract to replicate or too complex for anyone without a dedicated technical team. Most GTM practitioners are being left behind, not because they lack the desire to implement AI, but because the guidance they’re getting isn’t designed for them to actually use.

The Session:

This workshop is different. Jonathan Kvarfordt, known across the GTM AI community as “Coach K,” is one of the most credible practitioners in the space. As Founder of GTM AI Academy and co-host of the GTM AI Podcast, he has spent years coaching GTM professionals to become AI-powered, running real workshops, building real automations, and producing frameworks that practitioners actually use.

Joining him is Jonathan Moss, a hands-on GTM AI practitioner known for building production-ready Claude systems that revenue teams actually run on.

Together, they will deliver three live sessions, each replicable, no engineering background required. Every demo comes with assets you can take and implement on your own.

No LinkedIn fluff. Just working automations from operators who have built them.

The Three Sessions:

Claude GTM Configuration Overview and Best Practices: the foundational setup every GTM team needs, with shareable assets so you’re not starting from scratch
Competitive Intelligence Configuration: a live build of a real CI automation inside Claude, with the full setup shared after the session
Advanced GTM AI System: a deeper look at how mature GTM AI stacks are structured and operated, with frameworks distributed to attendees

Audience Takeaways

A clear mental model for structuring Claude Projects for real GTM work
A working competitive intelligence automation you can deploy immediately
An advanced GTM AI system architecture you can adapt to your team
All assets, prompts, and configuration files distributed after the session
Confidence that Claude implementation is within reach, without an engineering team