Agents on Main Street

aiagentsofmainstreet

Every small business owner is drowning in answers. Your accounting software has them, your project management tools have them, and now AI can produce ten more before you finish typing. But answers were never the problem. The real challenge is knowing which questions to ask. Agents on Main Street is a practical show about putting AI to work in real small businesses: the shops, contractors, and service companies on Main Street, not the Fortune 500. Hosts David Waechter  and Mitchell Turner bring two very different backgrounds. David is a residential home builder in Western North Carolina with a career spanning farming, consulting, and corporate intelligence work. Mitchell is a 25-year tech veteran who lost his job to AI and now helps people build with it. Each episode starts with a real business problem and walks through how they actually solved it: what worked, what failed, and what they'd do differently. Topics include standard operating procedures, meeting and call recording, automated daily briefings, AI agents and guardrails, and the human side of change, including the question of whether you should be afraid. No hype, no jargon for its own sake, and no AI company paying them to say any of it. Just honest, tested lessons for owners who want to make more by losing less. Answers are everywhere. We're here for the questions.

Episodes

  1. 3d ago

    The AI Constitution

    The conversation revolves around the concept of an AI constitution, emphasizing its importance for businesses in defining their goals and guidelines for AI usage. The discussion covers the evolution of AI policies, the creation of a living document, and the risks associated with blindly trusting AI. The conversation explores the integration of AI in business, focusing on privacy safeguards, accountability, and the balance between human interaction and AI efficiency. It emphasizes the importance of creating a supportive environment for employees to adapt to AI technologies while maintaining ethical standards. The conversation explores the integration of AI in business, emphasizing the importance of maintaining records, establishing a constitution for AI use, and redefining accountability. It highlights the need for clear guidelines and the evolving role of digital employees in management. Takeaways Importance of AI constitutionGuidelines for responsible AI use AI requires privacy safeguardsAI can enhance employee productivity AI enhances record-keepingConstitution guides AI integration Chapters 00:00 Introduction to AI Constitution03:01 Defining the AI Constitution05:48 Evolution of AI Policies09:01 Creating a Living Document11:58 AI in Business Context14:51 Establishing Corporate Goals with AI18:05 Risks of Blindly Trusting AI20:54 Responsible AI Usage in Organizations22:12 Privacy and AI Safeguards24:43 AI in External Communications26:34 Accountability and Liability in AI29:32 Creating a Blameless Culture30:26 Fostering Innovation in AI32:11 Employee Adoption of AI34:34 AI as an Assistant, Not a Replacement35:53 Efficiency Gains Through AI38:25 Human Touch in Business Transactions40:56 Disclosure and Transparency in AI45:09 Managing Customer Expectations with AI48:55 Navigating AI Tools and Updates49:40 Establishing Core Values Amidst Change51:00 Redefining Accountability in AI Usage54:26 Integrating Digital Employees into Management57:01 The Importance of a Living Constitution01:00:02 Trust and Supervision in AI Implementation01:03:03 Building Knowable Rules and SOPs

  2. Oct 9

    The February 7th Problem: Why Answers Aren't Enough

    In the first episode, David Walker and Mitchell Turner introduce themselves and explain how a home builder and a burned-out software engineer ended up building an AI system for a small business together. David describes his first attempt with AI, a marketing-focused consultant that didn't deliver. Mitchell shares how AI cost him his tech job, then brought him closer to people than ever. Together they explain why they started with standard operating procedures built from blameless employee interviews, and why voice became the most important tool in their stack. Then comes the turning point: the February 7th problem. Everyone in a recorded meeting heard that a job site would reopen on February 7th, yet when the day arrived, almost no one had been scheduled. That failure led to the "daily kickoff," an AI-generated briefing for every active job. The real breakthrough came when the team stopped asking AI to "make something" and gave it the 50+ questions their employees actually needed answered every day. They also take on the first "Should I Be Afraid?" segment: running autonomous AI agents, why guardrails matter, why AI mistakes deserve the same perspective as human ones, and what it means to separate your identity from your job title. Next week: the AI Constitution. Download the free template at margentics.com/constitution.

  • 2 Episodes

About

Every small business owner is drowning in answers. Your accounting software has them, your project management tools have them, and now AI can produce ten more before you finish typing. But answers were never the problem. The real challenge is knowing which questions to ask. Agents on Main Street is a practical show about putting AI to work in real small businesses: the shops, contractors, and service companies on Main Street, not the Fortune 500. Hosts David Waechter  and Mitchell Turner bring two very different backgrounds. David is a residential home builder in Western North Carolina with a career spanning farming, consulting, and corporate intelligence work. Mitchell is a 25-year tech veteran who lost his job to AI and now helps people build with it. Each episode starts with a real business problem and walks through how they actually solved it: what worked, what failed, and what they'd do differently. Topics include standard operating procedures, meeting and call recording, automated daily briefings, AI agents and guardrails, and the human side of change, including the question of whether you should be afraid. No hype, no jargon for its own sake, and no AI company paying them to say any of it. Just honest, tested lessons for owners who want to make more by losing less. Answers are everywhere. We're here for the questions.

Information

  • Creator
    aiagentsofmainstreet
  • Years Active
    2026
  • Episodes
    2
  • Rating
    Clean
  • Copyright
    © 2026 aiagentsofmainstreet
  • Show Website
    Agents on Main Street

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