Build AI Call Assistants: AI Automation Agency with No-Code

Manthan Patel's course teaches you to create AI Call Assistants using no-code tools like Vapi AI and Make com for automating customer service tasks, bookings, and lead generation.

This lecture covers the basics of AI call assistants, describing how they work from call connection to speech-to-text and text-to-speech processes. It highlights benefits such as cost savings, 24/7 availability, scalability, and multilingual support, etc.

This lecture covers Vapi AI and Make for building AI call assistants. Vapi AI provides speech recognition, NLP, and integration capabilities through modules like Transcriber, Model, and Voice. Make (formerly Integromat) handles backend logic and data processing, enabling seamless connections with various services, enhancing the AI assistant's functionality.

This lecture covers frequently asked questions about Vapi AI and its various applications. The lecture also outlines four main categories of Vapi AI applications: inbound calls, outbound calls, voice products, and voice IoT.

This lecture guides through setting up an AI call assistant using Vapi AI from scratch. It covers creating the assistant, configuring the model with prompts, and setting identity, style, and response guidelines.

This lecture demonstrates adding a knowledge base to a Vapi AI assistant, allowing for customized company-specific FAQs. It covers data integration with ChatGPT, system prompt refinement, and configuration of advanced settings like response delays and privacy. The goal is to improve the assistant's accuracy and user interaction.

Learn how to import Twilio and Vonage phone numbers into Vapi AI, explore AI call center features, and manage call logs and voice cloning.

This session explains inbound calls vs. outbound calls.

A small clip displaying manthan motivating saying the upcoming automation lectures will be tough, but persistence leads to success. Stay focused, ask questions, and aim for the top.

This tutorial walks you through setting up an AI call assistant for customer support using Vapi AI, integrated with Make and Google Sheets. You'll learn to configure prompts, handle call data, and automate information storage seamlessly.

This lecture introduces using tools to elevate AI assistants, exemplified with a banking assistant retrieving account data via Google Sheets or Airtable through make and Vapi AI. It covers step-by-step creation and implementation of tools and webhooks, including the distinction between synchronous and asynchronous executions.

Learn to set up AI call assistants using Vapi AI, Make and Google Sheets to identify existing customers and handle orders. This tutorial covers creating tools, configuring server URLs, and establishing connections to provide personalized customer service.

This tutorial guides you through creating an advanced appointment booking assistant using Google Calendar or Calendly with Make, Vapi AI and OpenAI, covering automation from setup to customer interaction.

This class outlines creating an automated appointment booking system using OpenAI and Google Calendar. The process includes configuring Vapi AI, Make and OpenAI responses, integrating Google Calendar API for event creation, and confirming available time slots through a virtual assistant.

This session demonstrates how to 24/7 automate appointment bookings by using a provided blueprint. It covers setting values, running scenarios, booking appointments, and generating email confirmations and calendar events.

This lecture demonstrates how to create an outbound call assistant using Vapi AI and Make, automating calls to clients or leads by integrating Google Sheets and leveraging API documentation for seamless configuration.

This lecture teaches how to clone your voice using Vapi.ai and Play.ht and ElevenLab. Learn to personalize interactions by creating and using an AI voice clone in assistants, enhancing your customer experience.

Learn to create a Squad team of AI voice assistants using Vapi AI to handle customer support, appointments, account checks, and more. One suggestion I would say is avoid errors by distributing tasks among multiple assistants and integrate workflows efficiently with make

This lecture guides you through creating a date and time functions and tool using APIs in Vapi AI, handling time zones, fetching current date and time, checking calendar availability, setting up appointments, and managing user queries efficiently.

This session teaches through setting up and managing squads in Vapi AI and Make, including adding assistants, adding phone numbers via API, and handling user interactions for appointments and messages.

Discover effective pricing strategies for AI services, including five distinct tiers tailored to different business needs. Factors influencing pricing include value delivered, company size, and solution complexity, with an emphasis on maintaining high profit margins while meeting client demands.

This lecture highlights five impactful AI call assistance use cases: lead qualification and appointment booking, customer support, AI auto attendants, intelligent follow-ups, and customer reactivation. These applications boost revenue, enhance customer experience, and streamline business operations.

The class discusses the pros and cons of AI calling platforms like Vapi AI, Play AI, Synthflow AI, and Bland AI. It highlights key features like scalability, ease of use, customization, and pricing models, emphasizing the need for testing to find the best fit for your business.