Guys, you did it.
Welcome to this course.
In this first lecture we are going to talk about what are these Ai Callers exactly? Like how they work,
what is going in the back end?
And you might be wondering like what are these Ai Callers? and why should you care or bother about?
Well buckle up!
And that's what exactly we are going to cover or explore in this first lecture.
Imagine calling a company and instead of navigating through frustrating menus or dealing with a potentially
lazy human, you are greeted by an AI that sounds remarkably human like and listens even better than
your significant other.
That's, my friend, is the magic of AI phone agent.
But how does this technology actually work?
Let us break it down.
The first thing is call connection.
When you dial a number, your call first connects with a cloud communication platform like Trello or
Vonage.
Think of this as a digital switchboard.
Second is AI phone infrastructures.
When the call reaches an AI phone infrastructure provider like Vapi AI or voiceflow or even bland ai.
This act as a middleman, meaning creating a seamless phone experience or seamless connection.
Now the magic begins.
Third thing we have is speech to text conversion.
When you actually dial a number and when you start speaking, your voice input is captured and transcribed
into text using advanced speech recognizing software.
Meaning whatever you have said in your call is actually converted into a text
or a script feature.
And then this text will goes to a language processing or for example, an LLM.
This text is then fed into the brain of our AI assistant, which is basically a large language model
or LLM like GPT from openAI or claude.
After that, the response is generated.
In other words, whenever you type something on ChatGPT or claude, you will actually get a response,
right?
So our voice or whatever we have said on the call is actually converted into text.
And that text goes to LLM like ChatGPT.
It will ask that question and the ChatGPT will provide us the answer.
And now the answer of ChatGPT, which is in the text form, is converted back to the voice of AI, and
this is known as text to speech conversion (TTS).
The text response is transformed back into the speech using a voice synthesizer, creating like nature
sounding audio.
And finally, the last step is audio playback.
This audio is streamed back to your phone, creating the illusion of a real time conversation with a
human.
The most mind blowing part here is it all just happened in a fraction of a second.
Like you might be wondering, we are performing all of these seven steps.
It should take at least 5 to 10 minutes, but no, it will happen in a blink of an eye by using Vapi AI
any AI infrastructure provider.
Further on, allow me to introduce a real life example so that you might get a better visual understanding
of this AI call assistants.
Imagine a company which receives 500 leads on a daily basis and each lead requires, let's say, five
5 minutes on call.
Well, that's over 40 hours of call every day! With a human appointment setter, which charge around
$20 per hour.
You are looking at a monthly cost of 30k+ for a team of 10 appointment setters.
Now let's flip the coin and replace that with an AI system.
At roughly $0.30 per minute, those same call would just cost about $750 per day, or $15,000 per month.
That's a saving of more than half.
Not to mention the reduced management and overhead of human customer service rep.
The further advantages of AI call assistants are 24/7 availability.
AI assistant can work around the clock without any break and consistency-
Every call is handled with the same level of professionalism and tone.
Now let us talk about scaling.
In the previous example, we talk about 500 lead per day.
Now imagine if you are getting 5000 or 50,000 leads per day.
Will you be able to manage a human customer service rep for all of those calls?
Well, the answer is no.
And here the AI comes into play.
The scalability is limitless.
You can scale this as much as you can.
And last but not least, benefit of using AI call assistant is multilingual support.
.
These AI call assistant can be programmed to speak multiple languages fluently.
Not just English, not just Spanish, not just Chinese, but they can speak all of the language altogether.
For example, if the customer or the user actually start the conversation in English, the AI response
will be in English.
Then the customer feel or need to change the language.
They will automatically switch to Hindi, Japanese or French, and our AI assistant will answer in that
language.
So you can understand my point of multilingual support.
So that's all for this first lecture, and I will see you in the next lecture where we talk about the
tools that we actually need in order to make this AI call assistants.
All right.
I will see you there.