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Exploring Voice AI in Business Automation

May 10, 2025

Lecture Notes: Voice AI in Automation and Applications

Introduction to Voice AI

  • Presenter: Tony, automation expert at SA Checkout
  • Focus: Using Voice AI for automating tasks, specifically in the context of negotiating luxury watch prices.

Case Study: Automating Negotiation for Rolex Daytona

  • Objective: Automate the process of negotiating prices for a Rolex Daytona, a $35,000 luxury watch.
  • Approach: Developed a Voice AI named "lowballer 9000" (Alex) to interact with secondhand luxury watch dealers in the US.
  • Key Functionality:
    • Gather critical details such as watch condition, original documentation, and packaging.
    • Engage in conversation with secondhand dealers, not official dealers.
    • Use platform: Vappy (Voice API for building flexible voice agents).

Importance of Voice AI

  • Increasing capabilities of voice AIs - potential for automating phone-based work within 1-3 years.
  • Demonstrates how AI can impact markets by creating transparency and potential for arbitrage.

Tools and Workflow

  • Vappy: Allows bringing your own prompt, choosing service providers, and running voice agents.
  • Prompt Development:
    • Mix of custom-written prompts and best practices from Vappy's documentation.
    • Iterative adjustments based on tests and real-world interactions.
    • Strategies include keeping sentences concise and using simple (6th-grade level) English for better engagement.

Technical Details

  • Voice Model Selection: Based on current market trends and availability.
  • Temperature in AI Responses: Controls creativity vs. predictability; lower temperature for deterministic responses.
  • Voice Configuration: Options include using popular voices like Cartisia.

Data Management

  • Tool Calls in Vappy:
    • Store call data (e.g., offers, negotiation outcomes) in a database for analysis.
    • Use tools like Airtable for data processing and result tracking.

Challenges and Considerations

  • Telephony Issues: Overcoming FCC regulations (shake and stir) to ensure calls connect.
  • User Experience: Designing AI interactions to sound human and responsive.

Broader Applications and Business Ideas

  • Sales and Real Estate: Automating sales calls to prospect lists for lead generation.
  • Data-Driven Advantages: Use voice AI to gather market data for competitive advantage.
  • Potential for Arbitrage: Utilizing AI to find price discrepancies and profit margins.

Community and Resources

  • Startup Empire: A private membership community for startup enthusiasts seeking support, co-founders, and tutorials on business growth.
  • Tony's Involvement: Provides demos and content, including automations like a feedback bot for gathering user insights.

Conclusion

  • Voice AI is a burgeoning field with vast potential for automating and optimizing business processes.
  • Encouragement for entrepreneurs to explore applications of voice AI in various industries for competitive advantage.