[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