AI Startup Founder Uses Voice AI to Call 3,000 Irish Bartenders, Creates 'Guinndex' Price Tracker
Key Takeaways
- ▸Voice AI agents successfully conducted 3,000+ conversational calls to Irish pubs, with most bartenders unaware they were speaking with AI rather than humans
- ▸The Guinndex provides real-time price transparency for Guinness across Ireland, averaging €6.01 per pint, and allows crowdsourced price updates from bartenders and consumers
- ▸Voice AI systems are proving surprisingly effective at data collection, with users spending 14% more time and sharing 22% longer responses compared to human interactions
Summary
Matt Cortland, founder of an AI startup, leveraged voice AI technology from ElevenLabs to make over 3,000 calls across Ireland inquiring about Guinness prices after discovering the country's Central Statistics Office stopped tracking beer prices in 2011. The AI agent, named "Rachel" and equipped with a Northern Irish accent, conducted conversational calls to pubs throughout the island, collecting pricing data that Cortland then used to create the "Guinndex"—a living consumer price index for Guinness powered by Anthropic's Claude.
The Guinndex reveals that the average price of a pint of Guinness in Ireland is approximately €6.01, with the most common price at €5.50—significantly lower than the €7.80 Cortland paid in Dublin. The project demonstrates both the practical applications of advanced AI voice agents and their effectiveness in data collection, with transcripts showing many bartenders didn't realize they were speaking to an AI. Early results show the transparency initiative is already influencing market behavior, with at least one pub owner lowering prices after seeing their listing on the Guinndex.
- The project demonstrates practical AI applications beyond high-level research, with potential expansion to prescription drug pricing in the U.S. and other consumer goods
Editorial Opinion
While some view AI's rapid advancement with concern over job displacement, Cortland's Guinness price-tracking project exemplifies how the technology can solve genuine consumer problems and increase market transparency. The fact that bartenders engaged authentically with the AI voice agent—often sharing special offers and context beyond the simple price question—suggests voice AI has reached a credibility threshold that enables new forms of data collection. This creative application hints at broader potential for AI-powered transparency initiatives in opaque markets, though it also raises questions about consent and disclosure when AI agents interact with the public.
