Building a Solo Business with AI

The TEAM Framework

  • T (Technology): Selecting the right tools and platforms to run the business
  • E (Engineering): Product design, features, and building what customers will buy
  • A (Admin): Back office operations including finance, accounting, legal, billing, and contracts
  • M (Marketing): Building reputation and brand through content, communities, and case studies
  • This framework represents the business foundation that operates continuously

AI Adoption in Small Business

  • 58% of small businesses are already using generative AI according to the US Chamber of Commerce
  • Solo founders can automate many business functions without hiring additional staff

Real-World AI Implementation Example

  • Chicago business owner transformed financial analysis workflow using AI
  • Previously spent hours manually analyzing raw material price data for pricing adjustments
  • Now uses ChatGPT to analyze raw material data and receive insights in minutes
  • Integrates QuickBooks and point of sales data into Google’s Notebook LM to generate AI podcasts
  • Shares these AI-generated podcasts with branch managers to communicate performance insights
  • This AI workflow effectively functions as a CFO

AI Agents for Software Development

  • Software companies can use two AI agents working in tandem
  • One agent writes code while the other reviews and debugs
  • These agents can work continuously to catch bugs and ship features

Getting Started with Automation

  • Start small: focus on automating a single recurring task in one business area
  • Example tools to try:
    • Clay for enriching leads (Demand)
    • Gamma for building slide decks (Marketing)
  • Implementation philosophy: focus on incremental progress rather than the entire system at once
  • AI capabilities continue to improve rapidly

Building Competitive Moats

  • The real challenge in an AI-driven world is staying in business, not just starting one
  • Counter-positioning is a key competitive moat strategy

The Blockbuster vs. Netflix Case Study

  • Blockbuster: dominated video rentals in early 2000s with 9,000 stores and $6 billion revenue
  • Revenue model depended heavily on rental and late return fees
  • Netflix eliminated both fees and introduced monthly subscription with DVD mail service
  • Blockbuster couldn’t match Netflix’s strategy without destroying their core revenue model
  • Blockbuster declined to acquire Netflix for $50 million
  • By 2010, Blockbuster went bankrupt while Netflix grew to nearly $500 billion in value

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