Hello all, i want to locally host an end-to-end prototype of an Ai voice agent system (low scale). What should my tech stack be? preferably open source.

what are the metrics and benchmarks i should consider when choosing a llm for voice ai agent? for local development.

Hello all, I have a question, what is the best method to chunk large, complex PDFs to feed them into a RAG? Note: i already extracted raw text in a mark down format using "dockling".

A few days ago, I asked this community, "What video do you guys need?" And a lot of you said my process of how I build AI voice agents. So in my most recent video titled "How to Build an AI Receptionist for Med Spas," I show just that. I show you exactly the system and structure of my AI voice agents that I use in order to build more reliable, accurate, and production-ready voice agents. I hope you find it useful. If you have questions about the system, or if you have questions about the specific Med Spa nature of the receptionist, please let me know. Thanks!

I'm knee-deep in planning the next few pieces of content and honestly, I'm tired of guessing what will be valuable for my audience. Everyone's throwing around the same recycled voice AI videos. So here's what I want to know - where are you right now? Are you still figuring out if this AI thing is legit, or are you already building for companies but failing in production? And what's the one thing that would actually move the needle for you? Not some theoretical framework - the specific problem that's keeping you from the next level. Most requested topic gets made first. But I need details, not generic requests. The stuff that actually works doesn't sound pretty in a title.