Convo AI World

In this episode of the Convo AI World Podcast, Hermes Frangoudis sits down with Dustin Allen, co-founder of Trinitite, to explore why evaluating an agent is only part of making it reliable in production. Dustin traces Trinitite's origins to a productivity app for accountants and finance teams, where a damaged spreadsheet exposed the need to replay actions, restore data, and understand what went wrong. He explains why his team now treats AI delivery, governance, and security as connected parts of the same system, and how Trinitite uses deterministic inference to make its own assessments more repeatable and failures easier to investigate. The conversation gets practical about voice AI: where to place controls in a cascading pipeline, how asynchronous monitoring can preserve conversational flow, and why sensitive tool calls may need checks before an action proceeds. Dustin also discusses multimodal systems, developer tools, and the challenge of observing agents running locally on a device. For teams building voice agents or enterprise AI, the episode offers a grounded discussion of continuous monitoring, remediation, and the limits of guardrails, with an emphasis on learning from failures and keeping people involved in deciding which risks matter most. Check out video episodes and subscribe to the Convo AI Newsletter at podcast.convoai.world

What does it take to give AI a face, and build a digital character people actually want to talk to? In this special montage episode of the Convo AI World Podcast, we bring together experts from Trulience, Akool, and AKA Virtual to unpack the technology, design choices, and product thinking behind the rapidly evolving world of AI avatars and digital humans. Jeff Lu of Akool explains why his team has focused on photorealistic people, real-time video generation, and running increasingly capable AI experiences closer to the edge. Jia Shen of AKA Virtual makes the case for a very different approach: characters do not always need to imitate humans. He explains why caricature, animation, and clearly defined character roles can sometimes create more believable experiences. Richard Bowdler of Trulience explores another part of the stack: giving conversational AI a face and body while keeping the underlying intelligence modular. That means combining avatars with LLMs, speech technologies, knowledge, and other components while allowing developers to choose the "brain" behind the character. Whether you're building conversational AI agents, virtual assistants, interactive entertainment, customer experiences, or the next generation of AI characters, this masterclass offers a practical look at what it takes to turn an AI model into a digital presence people can actually interact with. Check out video episodes and subscribe to the Convo AI Newsletter at podcast.convoai.world

What does it take to evolve from live voice experiences to AI-powered game hosts? In this episode of the Convo AI World Podcast, Agora's John Moore sits down with Geremie Camara, co-founder of Live Play Mobile, to explore how conversational AI is reshaping live gaming and interactive entertainment. With more than 100,000 hours of live-hosted gameplay, Live Play Mobile has spent years learning what keeps players engaged. Now, the team is applying those lessons to AI avatars that can entertain, personalize experiences, and scale globally alongside human hosts. Geremie shares why real-time infrastructure matters, how AI and human hosts complement each other, what it takes to make AI feel natural, and the engineering challenges behind voice quality, latency, memory, and production-ready conversational AI. Whether you're building voice AI, AI agents, gaming experiences, or real-time applications, this conversation offers practical insights into where conversational AI is heading, and what it takes to build engaging AI experiences at scale. Check out video episodes and subscribe to the Convo AI Newsletter at podcast.convoai.world

In this episode of the Convo AI World Podcast, Hermes Frangoudis sits down with Luka Chkhetiani from AssemblyAI to unpack what it takes to build reliable speech AI for real-world applications. Luka shares how AssemblyAI's mission evolved from making speech recognition accessible to developers into building robust models for real-time transcription, voice agents, conversational intelligence, and messy production environments. The conversation explores why latency alone is the wrong obsession, how turn-to-turn responsiveness changes the user experience, why reliability is now one of the hardest problems in speech AI, and what developers often misunderstand when bringing voice agents into production. Check out video episodes and subscribe to the Convo AI Newsletter at podcast.convoai.world

In this episode, host Hermes Frangoudis interviews Faraz Siddiqi, co-founder and CTO of Bluejay, about testing and monitoring voice AI agents. Faraz explains how Bluejay uses "digital humans" synthetic customers with accents, background noise, and even emotions to run hundreds of parallel simulations. What used to take 10–12 hours of manual calling to test 200 menu items now takes just five minutes, letting you grab coffee while Bluejay finds failures before real users hit them. He shares why latency over 1.5 seconds breaks trust, how a transcription error turned "Dr. Pham" into "Dr. Fan," and why founders should listen to every call manually before automating. A must-watch for anyone building production-grade voice agents. Check out video episodes and subscribe to the Convo AI Newsletter at podcast.convoai.world