Your Voice Agent Trusts Every Transcription Error as Fact
A user calls your insurance voice agent and asks about their deductible. The speech recognizer hears "the duck tibble." Your language model receives the string "the duck tibble," finds nothing coherent to do with it, and either asks a confused follow-up question or — worse — confabulates an answer about a product that does not exist. The user hangs up. Your logs show a successful turn: audio in, transcript produced, response generated, no error thrown.
That is the quiet failure at the heart of nearly every voice agent in production. The speech-to-text system did its job — it produced its single best guess. The language model did its job — it reasoned over the text it was handed. The bug lives in the gap between them, in a handoff that takes a probabilistic guess and relabels it as a fact.
