The class discusses the inefficiency and high cost of traditional outbound marketing methods like cold emails and over-budget ads. It introduces AI voice agents as a game-changer, capable of making thousands of calls daily without breaks, complaints, or high costs. The AI agents provide instant feedback and real-time intelligence, significantly improving customer engagement and reducing the cost per lead. Real campaign results show a drastic increase in effective conversations and meetings booked. The next class of the course will focus on building an AI voice agent.

The lecture introduces Retell AI, a powerful AI-driven tool designed to handle conversations and objections in real-time using popular language models like GPT-4 or Claude. Retell AI is easy to use, integrates with various business tools, and can conduct tasks from inbound call handling to outbound sales and appointment scheduling. It supports 18 languages and operates at lightning-fast speeds.

This lecture guides you through the process of creating your first AI voice agent using Retell AI. It covers navigating the dashboard, and building a single prompt agent from scratch.

Key topics include drafting detailed prompts, setting up the agent's identity, style, response guidelines, and tasks. The video also explains selecting a voice, adjusting settings like temperature, and testing the AI agent to refine its responses.

The tutorial demonstrates how to enhance an AI voice agent by incorporating a knowledge base. A knowledge base is described as a collection of sources, such as website content, documents, and custom text snippets, that provide the AI with additional context, improving the quality and reliability of its responses. The tutorial walks through creating a knowledge base with content from a dental care website, adding it to the agent, and testing the agent's improved performance in a realistic conversation scenario.

This session explains why it's better to use a knowledge base rather than adding extensive information directly into prompts for AI voice agents. It outlines how linking a knowledge base helps AI retrieve information accurately, the process of creating and embedding sources into a vector database, and how this affects response generation. Best practices include using clear markdown formats and grouping relevant information.

In this lecture, we explore the capabilities of AI voice agents through live call demonstrations. These agents are categorized into five levels: general QnA, appointment handlers, data collectors, personalized inbound calls, and highly personalized outbound calls. The script showcases examples, such as booking a gym appointment and highlights the potential applications in different industries like insurance. The AI voice agent can manage various tasks including customer support, appointment setting, and lead collection, demonstrating the future of AI-enabled business solutions.

This session discusses various functionalities, including in-depth explanations of functions like end call, call transfer, custom functions, tools, and calendar integration. It covers speech settings such as background noise, responsiveness, and interruption sensitivity. The class also explains post-call analysis, security settings, and webhook configurations, emphasizing the importance of testing and fine-tuning AI settings for optimal performance.

This lecture covers the crucial topic of prompt engineering for AI voice agents, emphasizing its impact on AI performance. The process includes designing, testing, refining, and repeating prompts to improve clarity and functionality. Key building blocks such as identity, style, response guidance, and tasks/goals are explained in detail. Practical tips on formatting, adding pauses, and handling errors are provided to ensure effective prompt crafting. The goal is to make prompts reusable, easy to maintain, and understandable for the AI. Additional hacks include using Markdown Formatting, emotional prompting, and voice realizations.

In this class, the speaker explains how to brand phone numbers for your business using Retell AI and Twilio. They demonstrate the process of buying and connecting phone numbers through Retell AI's dashboard and SIP trunking with Twilio. The session covers configuring SIP trunking, setting up credentials, and linking phone numbers. Additionally, features like batch calling, call history analysis, and theme customization on the Retell AI dashboard are discussed.

I have explained how to buy phone numbers from various countries using teleynx and integrate them with Retell AI via SIP trunking. I had covered the advantages of teleynx over other providers like Twilio, provides step-by-step SIP connection setup, and the importance of using CNAME for branding and avoiding spam tags. The process includes logging into teleynx, creating SIP connections, selecting country codes, configuring codecs, purchasing phone numbers, and enabling CNAME for branded calls.

This section explains inbound calls, where customers call you. It distinguishes these from outbound calls, where you call the customers. The next section will cover setting up assistants for both inbound and outbound calls.

In this comprehensive lecture, I walk through the process of creating an AI voice agent for a gym using Retell AI. Key tasks include setting up prompts with Anthropic Claude, configuring calendar availability and booking functions with Cal, and customizing the AI to handle user queries, check availability, and book appointments. The session emphasizes practical tips, such as using Markdown for clarity and enabling voice dictation for efficiency. The lecture underscores the AI's ability to adapt and refine prompts dynamically, ensuring smooth, user-friendly interactions.

I'm giving you these comments because I have very high expectations and I’m confident that you can reach them.

In this small video, we explore the different frameworks available for AI automation, workflow agents, and multi-agent orchestration. Learn the distinctions between linear tools like Zapier and n8n, and more advanced systems like CrewAI, AutoGen LangGraph, and Google ADK that facilitate multi-agent architectures. The key takeaway is to focus on providing results to clients, regardless of the underlying technology used.

This lecture introduces integrating AI voice assistants with Make, n8n and Go HighLevel (GHL) for post-call analysis and data management. It explains using webhooks to connect Retell AI with Google Sheets or CRM tools, providing information storage like call transcripts, summaries, and more. The class also covers fixing time zone issues in calls and ensures data accuracy by stopping and restructuring data during testing.

This lecture demonstrates how to add custom functions to Retell AI voice agents using Make. The example covers creating a function to fetch the current date and time for a specific timezone, integrating it into Google Sheets, and using it to book appointments accurately. The session also outlines generating personalized workout plans using ChatGPT and automating lead magnet creation in Google Docs.

In this tutorial, Manthan addresses common issues with the call analysis feature in makecom and retell. The lecture revisits the entire process to ensure clarity, focusing on configuring webhooks and filtering to capture only the relevant call analysis data—specifically usernames, emails, and fitness goals. The session includes a step-by-step guide on setting up a Google Sheet to receive this data, ensuring only necessary information is logged. Manthan emphasizes proper formatting and offers troubleshooting tips for common errors.

In this lecture, Manthan teaches how to build an AI voice agent for making cold outbound calls, specifically targeting local business owners to pitch vending machines. The process involves creating the agent, setting up a script, using Google Sheets for managing leads, and integrating with Retell AI and Make to execute calls, check lead interest, book appointments, and conduct post-call analysis. The lecture demonstrates configuring dynamic variables, writing call scripts, using APIs for scheduling, and ensuring GDPR compliance for cold calling. The aim is to automate extensive cold calling operations without manual intervention.

Automate B2B Sales, Appointment Setting, Lead Generation and Customer Support using AI Calling Assistants. Create and monetize an AI cold calling agency, offering AI-driven sales and customer support services to businesses. This lecture is for testing our previous build of AI cold call agent.

In this lecture, we explore the importance of personalization in AI voice agents for inbound calls. Instead of starting from scratch, we'll leverage existing prompts and configurations to set up an inbound call assistant using Retell AI and webhooks. The assistant will have access to user data from CRMs or Google Sheets, ensuring it can personalize interactions by pulling previous call summaries, user names, and relevant details. Through a detailed walkthrough, we learn to configure webhooks, handle different data formats, and integrate Google Sheets to match phone numbers and retrieve user information, enhancing the AI assistant's responses and improving customer service.

This tutorial explains how to create an AI voice agent using N8N that automatically calls users after they submit a form. It covers setting up n8n and creating a workflow with nodes, integrating forms, and making HTTP POST requests to Retell AI. It demonstrates how to customize form fields, map data, and add dynamic variables for personalized calls. It emphasizes the importance of immediate callbacks to boost appointment bookings and customer engagement.

In this lecture, I demonstrates how to develop a voice agent capable of handling promotions, upsells and sales. The example involves a dental clinic offering a free checkup. I walk through setting up prompts, configuring workflow in Retell AI, using Google Sheets for customer data, and customizing the voice agent's responses and accent. I also tests the setup to showcase how the AI agent makes outbound calls to upsell services effectively.

In this lecture, we are building an AI voice assistant for appointment reminders to decrease no-show rates. The AI calls clients an hour before their scheduled meetings to confirm attendance and can reschedule if needed. The step-by-step guide involves automating calendar events in Google Calendar, capturing data in Google Sheets, and configuring the AI to make outbound calls via Retell AI. A wait function ensures calls are made an hour before the meeting, confirming and updating statuses in the CRM system.

This tutorial explains how to integrate the Retell AI API into the n8n workflow without using any code.

This session tutorial explains how to perform batch calling in Retell AI by logging in, creating a batch call, downloading a template, adding phone numbers and dynamic variables, scheduling calls, and understanding concurrency limits.

This lecture explains the concept of multi-state agents, which are a step up from single-state agents and help reduce the chances of AI hallucinations significantly. Multi-state agents operate by dividing tasks among multiple specialized assistants, each with a specific goal. The lecture demonstrates how to create these agents using an example involving a solar company, detailing various steps like greeting the customer, checking the postal code, booking appointments, or scheduling callbacks based on service availability. The process includes setting up prompts, creating edges, and designing a prompt tree to guide the conversation flow effectively.

This lecture discusses the creation of a multi-prompt agent in Retell AI for real estate applications. Unlike a single-prompt agent that handles multiple tasks simultaneously and may give inaccurate results, a multi-prompt agent divides tasks into separate roles or nodes. The lecture explains how to create these nodes, shows the differences between single-prompt and multi-prompt agents, and provides examples, like developing an AI voice agent for a real estate agency to assist with property searches, booking appointments, and submitting user notes. The process is demonstrated using a fictional scenario and involves using tools like Google Sheets and makecom to fetch and display relevant property listings.

In this lecture, Manthan demonstrates how to create a versatile AI voice agent for internal call routing or call forwarding within an enterprise. The AI agent acts as a receptionist, answers queries, and forwards calls to specific departments or individuals using IVR (Interactive Voice Response) systems. Manthan walks through the use of tools like n8n and Retell AI, creating multi-prompt agents, and integrating with CRM solutions like Google Sheets. The goal is to automate the call forwarding process, improving efficiency in enterprise communications.

I have introduced a prompt templates used in my agency for nine different niches, covering various use cases. The guide can be used in AI tools like ChatGPT or Claude. I also recommends downloading a voice agent prompt guide and a prompt engineering lecture above.

This class provides an updated section on integrating Retell AI with GoHighLevel (GHL). It includes a demo showing how users who fill out a form on a website can receive an instant phone call from an AI voice agent. The demo illustrates data collection, appointment booking, and workflow automation within GHL.

This session guides on building and integrating a GHL (GoHighLevel) platform with a Retell AI voice agent. The process involves using Make scenarios for triggering workflows and post-call analysis in Google Sheets. The tutorial covers creating a form in GHL, adding contacts with tags, automating workflows, and connecting these with Make using webhooks. Lastly, it demonstrates setting up a Retell AI voice agent to automate phone calls and gather post-call data for customer relationship management.

In this lecture, I will demonstrates how to install and use the Retell AI app within GHL to manage your calendar. This eliminates the need to use external services like cal, Calendly, or Google Calendar. The process includes setting up appointments, checking availability, and booking directly within the Go HighLevel platform by accessing the marketplace and installing the Retell AI app.

This lecture introduces the conversion flow agent, an advanced AI voice agent designed to manage complex conversational paths efficiently. Unlike single or multi-prompt agents, the conversion flow agent reduces AI hallucinations by defining distinct conversational nodes and transitions. Practical examples include checking calendar availability, creating Notion pages, booking appointments, and sending emails, all performed through specialized nodes. The next lecture will delve into building this agent from scratch, exploring its components such as nodes and global settings.

Manthan provides an in-depth tutorial on creating robust AI voice agents using Retell AI's Conversation Flow Agent. He breaks down the process, explaining each component in detail, including nodes, transitions, prompts, and static sentences. He emphasizes the importance of using prompts for unique, dynamic interactions, and static sentences for specific responses. The tutorial also covers global settings, fine-tuning examples, and avoiding hallucinations in AI responses. Manthan prepares viewers to build their conversation flow agent from scratch in future lectures.

In this lecture, the instructor demonstrates how to create a personal assistant using Retell AI's Conversation Flow from scratch using n8n. The assistant will be capable of checking events and booking meetings in Google Calendar, writing notes in Notion, and sending emails. The process involves creating various conversation nodes and function nodes, setting up API keys, and using parameters for specific actions. The lecture emphasizes the importance of clear and concise prompt engineering to ensure smooth transitions between tasks. I have also highlights various integrations such as Notion and Google Calendar using n8n, showcasing how to build a reliable AI voice agent with minimal hallucination.

This class explains how to become a certified partner, highlighting the benefits of being listed on the platform. I shows how my agency uses the listing to get clients, appointments, and leads. I also previews the next lecture on starting an AI automation agency and applying to get listed.

This class script provides a comprehensive guide on how to start and scale an AI automation agency in 2025 and beyond. The presenter shares their experience and strategies, including choosing the right platforms like Retell AI, defining a target niche, creating a robust go-to-market (GTM) strategy, and crafting an effective offer. Emphasis is placed on content creation and marketing, funnel creation, lead generation, and nurturing potential clients. The video also covers the importance of maintaining clear messaging and offers practical advice on building a VSL (Video Sales Letter), scheduling calls, and setting up automated email campaigns. Finally, the script underscores the value of cold outreach and repurposing content across various platforms.

In this lecture, I have build entire cold email campaign starting from finding leads by using lead finder, then writing different type of copywriting, adding spintax personalisation, merge texts, writing effective CTA or call to action, checking the DNS record, adding follow-up sequence, adding variation using A/B split testing and bunch of other things and finally launching the campaign this lecture is fully raw, which means that I haven't edited anything. It is my entire brainstorming process on how I find leads how I write my email copies and how I launch my campaigns in real. This is fun one. You will like it.

The video explains how to increase call pickup rates using Retell AI by turning spam phone numbers into verified or branded business numbers. It details setting up a business profile, registering phone numbers to avoid spam filters, and using branded calls to display your business name on recipients' phones. It also covers addressing potential application rejections and resubmitting for approval.

This script explains how to add a personalized touch to AI voice agents. It guides users through the process of uploading a custom voice sample and testing different AI voices in various accents. The tutorial aims to help users create an AI voice agent that sounds like them, enhancing customer interactions with a more personal feel. The speaker also encourages feedback on using the AI voice agent for business purposes.

This session teaches how to rigorously test AI voice agents using Hamming before launching them. The speaker explains that Hamming acts like a quality control tool, simulating thousands of calls to evaluate the agent's performance in various scenarios, including different accents and background noises. Hamming ensures robust and reliable AI by handling both inbound and outbound calls. User using Retell AI get 100 free test calls with Hamming to evaluate their AI voice agents.

This lecture demonstrates how to white label your services using Chat Dash integrated with Retell AI. This tutorial covers steps including brand theme customization, domain branding, chatbot setup, client creation, and data visualization. The service allows users to use their own branding, manage client accounts, and access detailed analytics, ensuring a professional look without the need for Google Sheets.

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.