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. Thanks for tuning in. Catch new episodes every Wednesday. Subscribe to Topline Newsletter. Tune into Topline Podcast, the #1 podcast for founders, operators, and investors in B2B tech. Join the free Topline Slack channel to connect with 600+ revenue leaders to keep the conversation going beyond the podcast! 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

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