Made a video walking through the AI-assisted development workflow I use for production voice AI projects. Quick context: I used this on a Vapi replacement project at a $4 billion unicorn. Within a couple of weeks, their engineering team had adopted the workflow without being asked — and they wanted me to present it division-wide. The video covers: - How I coordinate specialised AI agents for Pipecat, Vapi, and Twilio research - Building features that would normally take hours of documentation reading - Live implementation of JSON-based assistant configuration (swap providers via config file, no code changes) https://youtu.be/AG68VC_mOGY Happy to answer questions.

Hi All, I'm new to the group and wanted to share a project I've been working on. This past week, I built a Voice AI and Text Chatbot customer support platform for businesses to easily set up their own AI Customer Support agents. Check out the demo video below and let me know what you think of it so far. Demo: https://www.loom.com/share/d39cbafebe664efda3ff059e0226fd4c Tech stack: AI & Voice LLM Framework: Agno (for text agent) Voice Framework: LiveKit Agents SDK LLM Provider: OpenAI (GPT-4) TTS/STT: OpenAI (Whisper for STT, TTS-1 for speech) Voice Options: OpenAI voices + ElevenLabs integration Real-time Communication: LiveKit (WebRTC) Integrations Calendar: Google Calendar API, Microsoft Exchange (planned) SMS/Voice: Twilio WhatsApp: Twilio (via WhatsApp Business API) Instagram: Twilio Channels (planned) Security: Custom encryption for credentials (Fernet)

We are an international group with members across multiple time zones, which makes it challenging to find a time that works for everyone. I’d still like to identify a slot that most of you are likely to attend. Please mark your available times on this calendar. The tool will then suggest the best options. No login is required (but recommended, so you can make changes later): https://community-scheduler.com/#/event/3a8549cf-8c82-40e6-855b-1a2fed0afe20

we have generated over 1 million in revenue for a client in US using 1 voice agent on livekit (case study + client interview coming soon) now why i tell you this is because to show that we dont play around with toy bots and build extremely reliable voice agents on livekit that are killers in production. we built our own voice ai stack on top of livekit, next js, supabase and hosting servers on digital ocean. soon we will open source the entire code and currently looking for agency owners to try out the platform and give us rapid feedback so we can fix bugs before open souring the entire code for public access. the stack does not just include UI that looks like vapi/retell , it has many other parts like call concurrency management server, livekit manager server that gives you api routes to easily start calls, receive end call reports and much more. our goal with this open source project is to completely replace vapi/retell + cekura + chatdash and have one stop shop for voice ai devs to build and deploy agents for clients. here are some internal docs and diagrams that give you overview of the voice ai stack we have built that we use for our clients https://github.com/VocalGrid/diagrams comment below if interested (please do not DM me)

Hey everyone, Thank you so much for your patience while we got this community ready to launch. It’s finally happening! 🎉 I’ve put together a short video explaining why I started this group and what it’s all about. I’m really excited to meet all of you — passionate, like-minded people working in the voice AI space. Our first meetup is next Friday, and it’ll be all about getting to know each other, hearing about your voice AI projects, and understanding what you’d like to learn on here. In the meantime, let’s start with introductions right here under this post 👇 Please share: - Who you are - What you’re building or working on - What you’d love to learn or explore within this community Can’t wait to see what everyone’s up to!