[00:00:00] Introduction
 [00:00:45] Early Adoption of Generative AI & GitHub Copilot
 [00:01:30] Discovering How Code Comments Improve AI Suggestions
 [00:02:33] Skepticism About AI Hype & Fear of Being Left Behind
 [00:04:03] Seeing a YouTube Tutorial That Unlocked Building a RAG Agent
 [00:05:06] Building His First Agent in One Week (and Feeling “Bad at AI”)
 [00:07:03] From 1 Agent to 4 Agents, Focusing on Small Single-Purpose Tools
 [00:08:15] Live Business Use Case: The “Mutual Intro” AI Agent
 [00:09:45] Benefits of Ranking Contacts & Saving Significant Human Time
 [00:11:15] Attempt to Build a Large, All-In-One Agent & Its Failures
 [00:14:03] Compounding Error With Multi-Step AI Workflows
 [00:16:57] Conclusion: Why Single-Purpose Agents Work Better
 [00:18:18] Expanding Into LinkedIn Sales Nav & Automated DMs
 [00:19:48] N8n as the Core Platform (Open-Source Alternative to Zapier/Make)
 [00:21:09] Future Vision & “Agent That Builds Agents” Dream
 [00:21:45] Potential for Buying Businesses & Training Their Teams on AI
 [00:22:21] “SaaS Is Dead” – Emphasis on Highly Customized AI Tools
 [00:23:51] Possibility of an AI Course or Accelerator for Nontechnical Builders
 [00:25:12] How Nontechnical People Often Adopt AI Faster Than Engineers
 [00:26:33] Who Should Reach Out About AI (Sales/Support/Small Agencies)
 [00:27:36] Adam’s Email & Looking Toward Future Products/Services
 [00:28:12] Andrew’s Wish for an AI-Generated First Draft from Transcripts
 [00:28:45] Adam’s 4-Step Method for Summarizing Calls & Extracting Stories
 [00:30:27] Closing Remarks & Plan to Continue Updates Based on Audience Feedback