Behind the Tech: How Dialogue Design Really Works (Deep Learning with PolyAI podcast, Ep. 82)
About this episode
Ever wonder what really makes an AI voice feel human? In this episode of Deep Learning with PolyAI, an all-star panel from our dialogue design and engineering teams takes you behind-the-scenes to share how the hardest part of CX automation actually works.
From latency and personalization to multichannel design and our in-house Raven model, they break down the science (and the art) behind building conversational AI agents that are actually worth talking to.
You’ll learn:
✅ Why dialogue design is notoriously hard, and how PolyAI cracked it
✅ The key factors that make conversations “buttery smooth”
✅ How omnichannel and LLM-powered design are changing everything
✅ What’s next for dialogue design, from multimodal to configurable latency
PolyAI's Jenn Cunningham guest hosts for this episode, moderating a discussion between Arkadiusz Kwapiszewski, Eshan Singhal, and Harry Swanson.
Get every episode summarized
Each time Deep Learning with PolyAI publishes, we email you a written briefing from the transcript — the topics, who appeared, and any specific claims, with the ad reads skipped.
Email me new episodesFree for 3 shows. No card needed.
Hosts & guests
No transcript yet
This episode has not been transcribed. Request it and it moves to the front of the queue.
More episodes
More from Deep Learning with PolyAI
What happens if your AI agents get 1% better every day?
Deep Learning with PolyAI
Who's coordinating your army of AI agents?
Deep Learning with PolyAI
Why should CX leaders care about MCP?
Deep Learning with PolyAI
Can AI really hear a call the way a person does?
Deep Learning with PolyAI