Claude Code marketing masterclass [from idea to making $$]

March 2, 2026

AI Summary

5 min read

Cody Schneider joins the podcast for a live demonstration of using Claude (via tools like cloud code and its extensions) to build AI agents that automate marketing workflows. He shifts manual "middle work"—like responding to leads, generating ads, and analyzing performance—to background agents, instructed primarily by voice transcription. Using a repo with API keys for tools like Phantom Buster, Instantly AI, Rephonic, Railway, Facebook Ads API, Perplexity, Million Verifier, Apollo, and his own Graft data warehouse, he shows practical setups for sales, growth, and customer experience.

Foundational Setup for Agent Workflows

Schneider starts every project in a dedicated folder like "graph growth agents," with a .env file storing API keys for daily tools (e.g., Intercom, SendGrid, HubSpot, Cal.com). This enables API-first interactions, prioritizing robust APIs over UIs—Salesforce edges HubSpot here due to better API depth. He recommends Super Whisper for transcription to voice-direct Claude, plus optional front-end skills for UIs.

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What you'll learn

1 `* (00:00) **Intro and Episode Goals**`
2 `* (01:56) **GTM Engineering Explained**`
3 `* (05:07) **Setup: Folder, Env File, Tools**`
4 `* (08:04) **Live Demo: LinkedIn Responder Agent**`
5 `* (10:15) **Building Bulk FB Ads Generator**`
6 `* (19:15) **Ad Research, Testing, Upload**`
7 `* (26:15) **Scrapers and Workflows: Podcast/LinkedIn**`

+ Full timestamped outline available in the app

Show Notes

I sit down with Cody Schneider, growth engineer and co-founder of Graph, for a live, hands-on crash course in GTM (go-to-market) engineering powered by Claude Code. Cody walks through how he runs multiple AI agents simultaneously to handle everything from bulk Facebook ad creation and LinkedIn outreach to cold email campaigns and live data analysis — tasks that used to require a team of dozens. By the end of the episode, you'll have a full understanding of how to set up your own agent workflow, the specific tools involved, and why domain expertise paired with AI is the real competitive advantage right now.

Cody’s GTM Toolkit:

AI/Agent Tools: Claude Code, Perplexity API, OpenAI Codex

Marketing & Outreach: Instantly AI (cold email), Phantom Buster (LinkedIn scraping/automation), Apollo API (data enrichment), Million Verifier (email verification), Raphonic (podcast host scraping):

Advertising: Facebook Ads API, Facebook Ads Library (competitor research), Nano Banana Pro (AI image generation), Kai AI (bulk image generation), HeyGen API (UGC/video generation)

Infrastructure & Deployment: Railway.com (servers, on-the-fly databases/Postgres), Vercel (deployment)

Data & Analytics: Graphed / Graphed MCP (data warehouse, live data feeds), Google Analytics 4

CRM & Communication: Salesforce (mentioned as comparison), Intercom, SendGrid API, Slack, Cal.com API

Productivity & Design: Notion, Super Whisper (voice transcription), Claude Code front-end design skill, HTML to Canvas (for converting React components to PNGs)

Timestamps

00:00 – Intro

02:02 – What Is GTM Engineering?

05:12 – Setting Up Your Agent Workspace & Environment File

07:54 – Live Demo: LinkedIn Auto-Responder

09:56 – Live Demo: Bulk Facebook Ad Generator

12:31 – Live Demo: Cold Email Campaign Automation (Raphonic + Instantly)

14:47 – Live Demo: Creating Notion Documents via Claude Code

16:46 – Live Demo: Bulk Ad Creative Generator

26:05 – Live Demo: LinkedIn Engagement Scraper to Cold Email Pipeline

28:16 – Context Switching Across Tasks

29:19 – Live Demo: Bulk Ad Generator

31:41 – Live Demo: Data Analysis: Turning Off Low-Performing Ads