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.
COUPON CODES:
Get 10% off AutoClaygent.com with code NortonKnows. No limit on redemptions, but the code expires Feb 28th, 2026. Get 50% off your own GTM Playbook with code KyleKnows (limited to the first 50 customers only) available at
https://playbooks.blueprintgtm.com Contact Jordan at
https://linkedin.com/in/jordancrawford if you have any issues.
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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
