Claude Code & MCPs built my $145K marketing machine
Cody Schneider demonstrates how to build a $145K marketing machine using Claude Code, MCPs (Model Context Protocols), and a stack of marketing APIs to automate customer acquisition at scale. The episode showcases live builds of AI agents that handle LinkedIn outreach, bulk Facebook ad generation and optimization, email campaigns, and data analysis—all running simultaneously in the background without manual intervention.
Key takeaways
- • GTM Engineering involves automating the "middle work" of marketing and sales by chaining together APIs and workflows, allowing marketers to go from idea to full-scale execution in minutes rather than hours.
- • Start every project by centralizing API keys in an environment file and thinking about software interactions through APIs rather than UIs, as API robustness is now a critical factor in choosing business tools.
- • Build bulk ad variations by researching pain points on Reddit and social platforms, then use Claude Code to generate hundreds of ad creative variations as React components at near-zero cost, then test them live to identify winners before scaling spend.
- • Deploy working software to production servers using Railway to enable team members and agents to access and use your custom tools continuously in the background, turning manual workflows into always-on automation.
- • Use live data dashboards connected to your actual business metrics (Facebook ads, Google Analytics, email performance) within Claude so you can have morning briefings and make decisions based on real-time data without leaving the terminal.
- • Domain expertise combined with these tools is the real superpower—having deep knowledge in marketing, design, or your industry allows you to articulate complex problems to AI agents in sophisticated ways that produce top-tier outputs versus generic results.
Recommendations (15)
"I'm now passing all of the middle work that I would do to some type of agent harness whether it's Claude Code"
Cody Schneider · ▶ 3:12
"We're going to touch Phantom Buster. We're going to use Instantly AI. We're going to use Refonic."
Cody Schneider · ▶ 1:29
"instantly is a cold email software. Um, and so this is just a part of my stack"
Cody Schneider · ▶ 13:26
"we're also just going to use like the Facebook ads API as an example"
Cody Schneider · ▶ 1:47
"I would strongly suggest get suggest getting something like a super whisper or uh any of these other transcription softwares"
Cody Schneider · ▶ 7:25
"It then sends it to million verifier to verify the emails"
Cody Schneider · ▶ 14:06
"I want you to use the perplexity API and go and scrape Reddit for the pain points"
Cody Schneider · ▶ 18:58
"I had it push it into a Postgress database that I on the fly created using the railway API"
Cody Schneider · ▶ 39:53
Mentioned (9)
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