My Voice AI Agent Negotiated 800+ Business Deals in 1 Day (FULL Tutorial)
AI Summary
Title: Automation Story - Voice AI Lowballs Luxury Watch Dealers
- Introduction
- Guest: Tony, an automation expert.
- Topic: Creation of a voice AI (
Lowballer 9000) to negotiate prices for a Rolex Daytona.- Voice AI Overview
- Purpose: To automate phone negotiations for luxury watches.
- Goal: Gain insights into pricing by lowballing offers.
- Negotiation Process
- Initial contact with watch dealers to gather critical details like watch condition and documentation.
- Key questions to engage sellers effectively.
- AI behavior setup to avoid overwhelming sellers with questions.
- Technical Setup
- Uses
Vappy, a voice API for building flexible voice agents.- Authors custom prompts based on real-life observations of negotiations.
- Importance of keeping AI responses concise (around 6th grade reading level) to sound more human-like.
- AI Performance & Challenges
- Transitioned through different models (e.g., DeepSeek) to enhance performance.
- Faced issues with call registration (FCC rules) that led to many calls going unhonored.
- Tools and Features
- Integration with other tools (e.g., Airtable) for managing negotiations and call records.
- Implementation of tool calls for effective data management.
- Suggested potential use cases for other industries (e.g., real estate) to automate prospecting calls.
- Conclusion
- Voice AI represents a significant opportunity for data-driven business models.
- Emphasis on the potential for arbitrage and automation in various markets.
- Invitation for viewers to explore the capabilities of voice AI further.
Note: No promotional content was included, and URLs or specific CLI commands were not available in the transcript.