Jordan Crawford (Founder @ Blueprint GTM) returns with a reality check for GTM leaders: The ChatGPT era is over. We're entering the season of Claude Code. That means you can move past static prompts and brittle workflows. We are now in a world where autonomous agents write code, execute complex goals, and learn recursively. Jordan breaks down how to set up local environments where context compounds over time, allowing you to deploy "infinite interns" against your most manual processes.

A few of the topics we cover:

The 3 Eras of GTM AI: Why we've graduated from ChatGPT (text) and Clay (linear workflows) to Claude Code (autonomous engineering).

Adapt or Die: Jordan shares some benchmarks of the absurd growth that's possible in specific areas

Atomic Leverage: How to identify the tasks in your sales org that agents can execute at scale.

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Chapters:

00:00 Introduction to Jordan Crawford and Claude Code

02:46 Defining Claude Code and Agentic Capabilities

04:47 Real-World Example: Automating Manual Enrichment

08:17 How Claude Code Differs from ChatGPT and Gemini

11:12 Building Compounding Context in Local Folders

15:23 The Three Eras: ChatGPT, Clay, and Claude Code

19:09 Recursive Improvements and Autonomous Agents

26:08 Claude for Work vs. Terminal-Based Claude Code

28:06 Understanding Plan Mode and Sub-Agent Workflows

37:05 The CRO's Role in Identifying Automatable Tasks

40:06 Scaling Atomic Tasks for Massive Productivity Gains

46:54 Developing Technical Taste and AI Intuition

51:49 The Critical Role of Context and Integration

58:44 Building an AI Chief of Staff for Decision Making

75:40 How to Install and Start Using Claude Code

E60: The Claude Code Era: Mastering Autonomous GTM Agents (Jordan Crawford, Founder @ Blueprint)

The Revenue Leadership Podcast with Kyle Norton