Building voice agents at scale
Understand the stack behind a production voice agent and compare three ways to build it. Weigh control, speed, model ownership and data boundaries before choosing your approach.
Who’s this book for?
Engineering, product and technology leaders deciding how much of their voice agent stack to own, from teams building custom orchestration to those choosing a managed platform.
What will you learn?
Explore the layers of a voice agent, how latency and accuracy compound, and the trade-offs between building with blocks, using a managed platform and going hybrid. Learn why model ownership matters.
How can you use it?
Use the decision framework to choose an implementation route, map vendor and data dependencies, and plan an end-to-end evaluation on your own audio at the concurrency you expect in production.
