​You've built a voice agent that can handle a conversation, retrieve information and trigger API calls.

​But what happens when two users speak at once? When an API takes longer than expected? When the speech recognition gets a name wrong?

​These aren't edge cases you can ignore in production. They're engineering problems you have to account for.

​In the first session of Murf Voice Circle's Masterclass series, Gaurav Singh, SDE-II at Murf AI, takes a closer look at what it actually takes to build and run voice agents in production.

​This is a technical deep dive into the architecture, engineering decisions and operational challenges behind production-grade voice agents.

​What We'll Cover

• ​Anatomy of a voice agent: Every layer, from telephony to text-to-speech, including prompt caching, noise suppression, language switching and voicemail detection.

• ​Turn-taking and interruptions: Detecting when a caller has finished speaking, handling interruptions and managing conversational flow.

• ​Latency: Understanding where milliseconds go during a conversational turn and what can be done to reduce delays.

• ​The LLM layer: Prompting for speech, managing tool calls and using prompt caching without compromising conversational flow.

• ​Running voice agents reliably: Infrastructure considerations, vendor downtime, fallbacks and observability.

• ​Build vs buy: Exploring open-source and commercial options for each component, along with the engineering effort involved in adopting them.

​Who Should Attend?

• ​AI and software developers looking to integrate voice capabilities into existing applications.

• ​Engineers and technical leads building, testing or scaling conversational AI systems.

• ​Founders and product teams exploring voice as an interface for AI-powered products.

​This is not an introductory session on AI or LLMs. Some familiarity with building AI-powered applications will help you get the most out of it.

​The First of Many

​Murf Voice Circle is where developers will come together to learn, exchange ideas and explore what's possible with voice AI.

​This Masterclass is just the beginning. We're planning more sessions featuring practical insights, technical deep dives and conversations with people building in the space.

​Stay tuned. We're just getting started.