Build an AI Inbound Hindi Voice Agent in 30 Minutes скачать в хорошем качестве

Build an AI Inbound Hindi Voice Agent in 30 Minutes

In ~30 minutes, build a Hindi/Hinglish inbound voice agent that answers calls, captures clean lead data, books a Google Meet, saves to Google Sheets, and sends an SMS—exactly like the one I deploy for clients. WORKFLOW DOWNLOAD: https://drive.google.com/file/d/1z3dT... X/Twitter: https://x.com/TopR9595 Book a strategy call (Calendly): https://calendly.com/shreyasrajsony11... Done‑for‑you automation: https://rapidxai.com THE BUILD BREAKDOWN Setup/Context: We’ll connect Vapi (voice), OpenAI (structured extraction), n8n (routing), Google Sheets (logging), and Twilio (SMS). Challenge: Missed calls and messy intake lead to lost revenue. Hindi/Hinglish callers need a natural agent that asks one‑by‑one questions and confirms digits clearly. Solution/Demo: Webhook → AI Agent → Filter → Append Row in Sheet → Send SMS. Name first, Hinglish tone, digit‑by‑digit phone confirmation (for example, 9‑1‑9‑3‑0‑7‑5‑1‑2‑8‑1‑6), online meeting before any on‑site. Objection Handling: Language mixups, looping, OAuth headaches, and SMS delivery—fixed with model/transcriber settings, structured output, and tested OAuth scopes. Result: Call → lead captured in Sheets → owner notified via SMS → Google Meet booked in minutes. TIMESTAMPS 00:00 – Intro and live demo (Hindi/Hinglish) 01:12 – What this agent does and when to use it 02:38 – Create Vapi assistant (assistant speaks first) 04:15 – Voice settings: 11Labs Turbo, background sound off, speaker boost on 05:46 – Transcriber choice (Nova 3 vs. Monty) and Hindi handling 07:05 – Link phone number and quick call test 08:22 – n8n overview: Webhook → AI Agent → Filter → Append Row in Sheet → Send SMS 09:28 – Webhook setup and payload structure 10:40 – AI Agent node (GPT‑4.1 mini) plus structured output schema 12:14 – Fields: name, phone, email, location, requirement, interested 13:32 – Filter logic: keep only interested leads 14:18 – Google Sheets node and column mapping 15:42 – Google Cloud OAuth (consent screen, scopes, test users) 18:36 – Twilio credentials and SMS alert template 20:08 – Fixing transcription loops and mapping issues 22:02 – Live execution test (booking flow) 24:24 – Sheet save plus SMS received 26:05 – Best practices: Hinglish tone, digit confirmation, say “Rupees” 27:42 – Optional: move storage to Supabase 29:10 – Wrap‑up and next steps KEY LESSONS Ask one thing at a time. It boosts completion rate and transcript accuracy. Confirm digits individually. Prevents bad leads and failed follow‑ups. Structured output beats free text. Reliable fields for Sheets/CRMs. Online meeting first. Qualify fast, then suggest on‑site if needed. Hinglish wins. Cultural fit leads to higher trust and better intent signals. WHY THIS APPROACH WORKS Inbound calls are high‑intent. A Hinglish agent with structured extraction removes friction: it understands, captures, and books without human wait times. n8n orchestrates deterministic steps; Vapi and OpenAI handle understanding; Sheets and SMS create instant visibility and follow‑through. CONNECT WITH ME X (Twitter): https://x.com/shreyasrajsony11 Instagram:   / shreyasrajsony11   Course: https://educatexai.com WhatsApp: +91 9307512816 Done‑for‑you automation: https://rapidxai.com Comment “HINDI” if you want the prompt pack and n8n node JSON! Tags (YouTube) a i hindi voice agent, hindi call bot, vapi tutorial, n8n automation, openai voice, google sheets crm, twilio sms, booking automation, voice receptionist, inbound call automation, hinglish ai, india business automation, whatsapp sms alerts, google meet booking, shreyas raj, rapidxai, ai agency, voice ai, contact center automation Hashtags (YouTube) #AI #Hindi #VoiceAgent #InboundCalls #n8n #Vapi #OpenAI #GoogleSheets #Twilio #Automation #Hinglish #BusinessAutomation #AIAgent #VoiceBot #CRM #LeadGen #Booking #SMS #India #tutorial Voice Agent Prompt: https://docs.google.com/document/d/1w... Use the above prompt for Guidance