I Built a $9K AI Intake Agent (Case Study) скачать в хорошем качестве

I Built a $9K AI Intake Agent (Case Study)

Access to FREE resources: https://www.skool.com/ai-learn-3541/a... In this video, I break down an AI agent built for a clinic intake workflow — handling live patient calls, conducting structured intake conversations, and automatically generating a clinical report after each call. We go deep into the architecture, tooling, and design decisions behind a full end-to-end intake agent — from voice streaming and turn-taking to post-call summarization and report generation. 🔥 What's covered: • How a real voice AI intake agent is architected end-to-end • Using LiveKit for real-time audio streaming and agent orchestration • Speech-to-Text with Cartesia STT • Text-to-Speech with Deepgram TTS • Voice Activity Detection (VAD) using Silero for accurate turn-detection ⏱️ Timestamps: 0:00 – Demo & Intro 0:48 – High-Level System Architecture 1:05 – Agent Pipeline (LiveKit) 4:15 – STT, TTS & VAD Design Choices 5:19 – End of Session Handling & Report Generation 5:47 – Session Start & CLI App 6:12 – Demo 8:52 – Voice Agent Architecture Breakdown 10:06 – Final Thoughts 💡 This video is for AI builders, freelancers, and founders who want to understand how real production voice agents are actually built. 📚 Resources & discussion: https://www.skool.com/ai-learn-3541/a... If you’re building AI agents for real applications, subscribe for deep dives into what actually works. #aiagents #voiceai #livekit #llm