AI Agents and the Next Generation Economy — Andrew Melnychuk | Ep 143

Andrew Melnychuk was an early Bitcoin investor before most people understood what Bitcoin could become. Now he’s betting on another shift: AI agents that can research, analyze data, use tools, and carry out multi-step work with human supervision.

In this episode, Andrew explains how studying history shapes the way he thinks about emerging technology, why he sees Bitcoin as infrastructure rather than simply a currency, and why he believes AI agents are more important than the standalone AI tools most people are currently using.

We also move from theory into a live demonstration of SAAGA Solve, where Andrew shows agents researching prospects, working across multiple tasks, analyzing SEO data, creating content, and using different tools in parallel. We discuss where the AI hype gets ahead of reality, why humans still need to supervise agents, the economics of different AI models, and what businesses should actually focus on as these tools improve.

If you’re trying to separate practical AI capability from headlines and understand where agents could fit into real business workflows, this conversation gives you both the bigger historical picture and a look at what’s already possible today.

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Connect with Andrew

SAAGA Solve: https://saagasolve.com/

Linkedin : https://www.linkedin.com/in/amovfx/

Chapters

00:00 Predicting Technology Through the Long Arc of History

00:55 How Andrew Learned to Think About the Future

02:25 Why Naming a Technology Correctly Changes How You Understand It

04:03 Bitcoin, AI, and Andrew’s Historical Framework for Technological Change

10:03 Getting Into Bitcoin Early Without Fully Understanding It

11:18 What Bitcoin Actually Is Beyond the Price

14:10 Why New Technologies Get Dismissed

15:44 Why Andrew Sees AI Agents as Today’s Major Emerging Shift

18:05 What an AI Agent Actually Is

19:41 The Productivity Gains Agents Can Already Deliver

21:39 Where AI-Agent Hype Gets Ahead of Reality

25:18 How Businesses Should Approach New AI Tools

26:30 Live Demo: Using Agents for Sales Outreach and Research

28:24 Running Multiple AI Agents in Parallel

29:47 How Much Does It Cost to Use AI Agents?

32:56 Why SAAGA Solve Is Starting With Marketing and SEO

34:35 Building an Agent by Simply Describing the Job

36:21 Andrew’s Vision for Agents, Payments, and a Machine Economy

38:18 Why Businesses Care About Results, Not the Technology Underneath

39:04 Reducing AI Tool Fatigue With One Agent Interface

41:47 Cold Outreach, Lead Data, and Why Andrew Still Prioritizes SEO

42:35 Why SEO Still Matters in an AI Search World

45:39 What’s Next on the SAAGA Solve Roadmap

48:18 Connecting Agents to Project Management, Social Media, and Sales

51:39 Where to Find Andrew and SAAGA Solve

52:09 Closing Thoughts and Wisdom Journey Newsletter