Skip to the good part of every AI Engineer talk.

Venky B describes what breaks when a voice agent moves from a working demo into production. Latency is the first problem: teams often aim for under 550 milliseconds from the end of a user's speech to the first audio, but...

Midam Kim uses a failed call to show why voice-agent problems should be understood through linguistics. The bot mishears the final letter of her name, applies English pronunciation rules, asks for an account number without enough context, interrupts her while...

Amit Desai argues that teams often focus on improving voice accuracy while ignoring a separate decision: what the assistant should do when it is uncertain. In his smart-speaker example, the system correctly identifies 79 percent of requests, but it can...