Steven Payne, Product Manager, PerkGabriel Stock, Senior Engineering Manager, PerkPhilipe Steiff, Senior Software Engineer, PerkWhat we cover in this episode
How Perk's team identified an AI use case by connecting prior experimentation with a real operational problemWhy they chose Make.com for prototyping—and shipped to production without touching backend codeThe evolution from a single prompt to structured conversation stages (IVR handling, booking confirmation, payment request)How breaking up the agent's task dramatically improved reliabilityBuilding two eval systems: classification for success rates and LLM-as-judge for conversational behaviorWhy the team still listens to calls manually even with automated metricsThe challenge of prompt engineering for voice: numbers, booking references, and text-to-speech markupLessons learned from expanding to German (prompts in native language improve results)How this project uncovered other operational problems they didn't know existedPerkMake.com – No-code automation platform used for the prototypeTwilio – Voice/telephony provider11 Labs – Text-to-speech provider (used in early experiments)00:00 Introduction to the Team
01:54 Understanding PERK's Mission
02:59 Challenges in Travel Booking
07:27 AI Solutions for Customer Care
09:52 Prototyping with AI and Voice
17:00 Implementing AI in Production
25:51 Learning Through Trial and Error
26:40 Prompting Challenges and Solutions
27:58 Iterating on Prompts and Evaluations
30:08 Scaling and Production Challenges
32:43 Advanced Evaluation Techniques
35:32 Real-World Applications and Success
49:07 Future Directions and Expansion
53:53 Conclusion and Team Reflections