A structured path for learning to build voice agents, from your first STT call to production

Voice is one of the harder agent modalities to break into, because the knowledge is spread across a dozen vendors and the failure modes (latency, turn-taking) don't show up until they bite you. I maintain a curated learning path that tries to fix that, free and open source (MIT). It's ordered the way the work actually goes: \- Foundations: the STT to LLM to TTS pipeline and the latency budget you fight forever \- Frameworks: pick one (LiveKit Agents or Pipecat for open-source) and ship a hello-world \- Components: swap STT, TTS, LLM, VAD, and turn detection to learn what each layer does \- Telephony: connect a real phone number over SIP \- Evaluation and production: make it safe enough to ship, including the FCC and EU AI Act rules that now apply 190+ resources, each tagged by level, commercial sources labeled. There's a 5-week plan at the end. For those who've shipped voice agents: what bit you that this path wouldn't have prepared you for? I want the production section to hold fewer surprises.