Staging environment

GTM Agents With Claude (Building a GTM AI OS)

Part of The Full Stack Career

Hosted by Jonathan Kvarfordt

323 students

In this video

What you'll learn

See Why Most GTM AI Fails Before the First Prompt Is Written

Discover why AI output feels generic: not weak prompting, but missing context is the fix behind every GTM AI OS agent

Build a Competitor Intelligence Agent to help you win

Build a live Claude agent that grades competitor claims by evidence and drafts a talk track reps can trust.

Decision Model That Turns One Agent Into a Repeatable System

See how FIT × PAIN × MOMENT × CONFIDENCE powers one agent and then scales to accounts, campaigns, and reps

Why this topic matters

Most GTM teams aren't short on AI tools, they're short on trustworthy context. Signals get noisy, messaging drifts between sales and marketing, and every new AI agent starts from scratch instead of a shared source of truth. That's why generic AI output keeps showing up in decks, emails, and battlecards. GTM AI OS fixes the actual bottleneck: context before automation, so every agent and every rep is working from the same evidence, not a guess.

You'll learn from

Jonathan Kvarfordt

GTM AI Strategist, Ex-VP of Momentum (acquired by Salesforce) GTM AI Pod host

Jonathan Kvarfordt (pronounced Car-Ford) Aka Coach K is GTM AI strategist and expert who has been deep in the space for 6 years helping Revenue and Business leaders use AI individually and apply strategy across the entire mid-market or enterprise. His background is in Enablement & Revops. He is the Founder of GTM AI Academy, where over 10,000 professionals have trained since 2022. He previously led GTM Strategy & marketing at 1mind and before at Momentum.io, taking it from 10% to 75% of revenue sourced through marketing before its acquisition by Salesforce. He hosts the GTM AI Podcast, co-authored Ignite Your GTM with AI book, and has spoken at Forrester, HSE, AI4, and HumanX, plus taught AI and sales as adjunct faculty at Bryant University.

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