
Building a Voice Assistant From Scratch — What Nobody Tells You About the Decisions That Actually Matter
When I set out to build my own voice assistant, I had a seemingly simple mental model: capture audio, transcribe it, send it to an LLM, speak the response. Four boxes on a whiteboard, a few arrows between them. How hard could it be? Turns out, the arrows are where all the interesting engineering happens. And the boxes? Each one hides a small universe of trade-offs that only reveal themselves once you start building for real hardware, real latency requirements, and real-world constraints. ...




