Where Context Lives in a Cascading Voice Agent — and Why the STT Layer Quietly Decides Your Accuracy

Your agent asks, "What's your email address?" The caller says it out loud. And your transcript comes back as "user at hack er noon dot com."

Now the LLM has to work with that. Maybe it guesses. Maybe it asks again and annoys the caller. Either way, the mistake didn't happen at the LLM — it happened one layer earlier, at the part of the stack most teams treat as a solved commodity: the speech-to-text.

Here's the thing about the cascading voice agent architecture that doesn't get said enough. You can swap in the best LLM on the market and the most natural-sounding TTS money can buy, and your agent will still feel broken if the transcript is wrong. Everything downstream is only ever reacting to text. If the text is wrong, the agent is confidently answering a question the user never asked.

So this piece is about where context...

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