Using ChatGPT to Automate Cold Calling for Sales Leads [with Bland AI]

Summary

This video script outlines a Python script designed to automate cold calling using an Excel sheet of contacts and Bland AI's services. The script calls potential leads, engages them with an AI agent about a specific product or service, and forwards interested parties to a sales representative. The tutorial includes setting up Bland AI, formatting data, and customizing call parameters. Viewers are guided through the process, from API key retrieval to generating reports on call outcomes, offering a hands-on approach to mastering cold calling with AI assistance.

Takeaways

• 📝 The video discusses the common challenge of cold calling in sales, real estate, fundraising, and recruiting, highlighting its importance in lead generation.
• 🎬 Hollywood movies like 'The Pursuit of Happiness' and 'The Wolf of Wall Street' emphasize the significance of exceptional cold calling skills for success in sales.
• 🤖 The video introduces a Python script designed to automate the cold calling process using an AI from Bland AI, which can interact with potential leads and forward interested ones to the salesperson.
• 📋 The script requires an Excel sheet with names and phone numbers formatted with 'Name' in column A and 'Phone Number' in column B, including the country code and 10-digit number.
• 🔗 The Bland AI account setup involves obtaining an API key for the Python program to communicate with the Bland AI service.
• 📁 The video instructs how to save the Excel data as a CSV file, which is essential for the Python script to access the data.
• 🔗 The video provides a link for a discount on Bland AI services and encourages viewers to use it when signing up.
• 🛠 The script includes customizable parameters such as the AI model, voice ID, and latency settings to tailor the AI's behavior during calls.
• 📝 The video explains how to define the call's goal, transfer list, and tough-to-pronounce words to ensure clear communication during the AI's calls.
• 📊 The script can generate a report analyzing the outcomes of the calls, including customer interest and reasons for disinterest, which can be saved as a CSV file for further analysis.
• 🚫 The video mentions a 'test mode' feature in the script to prevent calling the entire list during initial testing, ensuring the AI's functionality before full deployment.

Q & A

What do jobs in sales, real estate fundraising, and recruiting have in common?

They all rely on the task of cold calling people to get leads, which is a critical skill portrayed in movies like 'The Pursuit of Happiness' and 'The Wolf of Wall Street'.

How does the main character in 'The Pursuit of Happiness' optimize his cold calling?

The main character realizes that by not hanging up the phone between calls, he can get through more calls per day, thus saving time and potentially increasing sales.

What is the purpose of the AI program described in the script?

The AI program is designed to automatically call contacts from an Excel sheet, engage with them about a product or service, and forward interested leads to the salesperson for further action.

What is Bland AI, and how is it used in the script?

Bland AI is a program that enables the use of AI agents for various tasks, including making calls. In the script, it's used to automate the cold calling process with an AI agent that can interact with potential customers.

Why is it important to format the Excel sheet data correctly for the Bland AI program?

Proper formatting is crucial because the Python script relies on specific column labels ('name' and 'phone number') to extract data and perform calls. Incorrect formatting would prevent the script from functioning as intended.

What is the significance of saving the Excel sheet as a CSV file?

Saving the file as a CSV allows the Python script to read and interact with the data from the Excel sheet, which is necessary for the automated calling process.

How does one obtain an API key from Bland AI for the script?

An API key is obtained by signing up for Bland AI, navigating to the account settings, selecting the API option, and then generating an API key which can be copied and used in the Python script.

What is the role of the 'payload' in the Bland AI calling process?

The payload defines the parameters for each call, including the purpose of the call, the script that the AI agent will follow, and the actions to take if the person is interested, such as transferring the call.

Why might someone choose to spell out numbers in the Bland AI script?

Spelling out numbers can help the AI agent to pronounce them more accurately, as it tends to handle spelled-out numbers better than numerical digits.

How can one customize the AI agent's voice and behavior in the Bland AI program?

Customization can be done by selecting different voices from Bland AI's voice presets or by defining variables such as 'wait for greeting', 'reduced latency', and 'temperature' in the script to modify the agent's responsiveness and creativity.

What does the script offer in terms of monitoring and reporting on the calls made by the AI?

The script includes a section that generates a report of the batch of calls, providing insights into customer interest, call outcomes, and reasons for not being interested, which can be reviewed or saved as a CSV file for further analysis.

Outlines

00:00

📞 Automating Cold Calls with AI

The video script discusses the commonality among sales, real estate, fundraising, and recruiting jobs, which is the reliance on cold calling to generate leads. It draws a parallel with Hollywood movies like 'The Pursuit of Happyness' and 'The Wolf of Wall Street,' where exceptional cold calling skills are portrayed. The script then transitions into a tutorial on creating an AI program to automate the cold calling process using a Python script. The program is designed to call contacts from an Excel sheet, engage with them using an AI agent, and forward interested leads to the user for potential sales. The tutorial utilizes Bland AI, a service for creating AI agents, and provides a step-by-step guide on setting up the program, including obtaining an API key, formatting the Excel sheet, and saving it as a CSV file for the script to access.

05:02

🔗 Setting Up the AI Cold Calling Script

This section of the script provides a detailed walkthrough of setting up the AI cold calling script using Google Colab. It explains how to install necessary Python libraries, import them, and define the Bland AI API key. The script is designed to load a CSV file containing names and phone numbers, define a 'payload' for the calls with specific parameters such as the call's purpose, and handle the transfer of interested leads to a predefined number. The tutorial also covers how to format the CSV file correctly, use the Bland AI developer portal to understand and modify call parameters, and set up the AI agent's voice and pronunciation settings. Additionally, it advises on spelling out numbers for clarity and using the test mode to ensure the script works as intended before running it on the entire call list.

10:03

🎚 Customizing AI Agent Settings

The third paragraph delves into the customization of AI agent settings within the Bland AI platform. It covers various parameters that can be adjusted to control the AI agent's behavior during calls, such as the model used for communication, waiting for a greeting, the first sentence spoken, and voice ID for the AI's voice. The script also touches on the reduced latency feature for more natural conversations and the temperature setting to control the AI's creativity. The tutorial explains how to use test mode for initial testing and how to generate reports on the calls made, including the ability to stop the batch of calls if necessary. It also provides instructions on accessing Bland AI's documentation for further customization options and understanding the parameters available for the AI agent's calls.

15:03

📊 Analyzing Call Results and Conclusion

The final paragraph of the script outlines the process of analyzing the results of the AI cold calls. It describes how to run the script to send calls, monitor the progress, and generate a report that includes details like call ID, whether the call was answered, customer interest, and reasons for disinterest. The report is presented in a readable format within the Google Colab environment, and there's an option to save the report as a CSV file for further analysis. The tutorial concludes with a reminder to use the provided link for a discount on Bland AI services and an encouragement to subscribe to the channel for more content like this.

Keywords

💡Cold Calling

Cold calling is the act of making unsolicited phone calls to prospective customers to generate interest in a product or service. In the video's context, it is a critical skill portrayed in movies like 'The Pursuit of Happyness' and is essential for jobs in sales, real estate fundraising, or recruiting. The script discusses mastering cold calling as a key to success, with the main character in the video leveraging it to increase sales efficiency.

💡Leads

Leads refer to potential customers or clients who have shown interest in a product or service and could potentially be converted into sales. The video emphasizes the importance of generating leads through cold calling, as the AI program is designed to identify interested parties from a call sheet and forward them to the salesperson for potential conversion.

💡AI Program

An AI program mentioned in the script is a software application that uses artificial intelligence to perform tasks. In this case, the AI program is designed to automate the cold calling process, interact with potential customers, and filter leads based on their interest in the offered product or service.

💡Excel Sheet

An Excel sheet is a grid of data cells organized into rows and columns within a Microsoft Excel workbook. The script describes using an Excel sheet to list names and phone numbers for the AI to call. It is a tool for organizing and managing data, which is essential for the AI to access and use contact information.

💡CSV File

A CSV file, short for Comma-Separated Values, is a type of file used to store tabular data, such as that in an Excel sheet, in plain text. The video script instructs how to save the Excel data as a CSV file, which is necessary for the Python script to access and process the contact information for the AI to make calls.

💡API Key

An API key is a unique code used to authenticate requests to an API (Application Programming Interface). In the context of the video, the API key is used to connect the Python program with the Bland AI service, allowing the program to make calls and interact with the AI service securely.

💡Bland AI

Bland AI is the service mentioned in the script that provides AI agents capable of making phone calls and interacting with humans. The video demonstrates how to use Bland AI for automating the cold calling process, showcasing its features and how it can be integrated with a Python script.

💡Python Script

A Python script refers to a sequence of programming instructions written in the Python language. In the video, the script is used to automate the process of making calls using Bland AI. It handles tasks such as reading the CSV file, defining call parameters, and sending calls based on the provided data.

💡Payload

In the context of the video, payload refers to the set of parameters and data sent with an API request. The script explains defining a payload for each call, which includes the purpose of the call, the message to be conveyed, and the conditions for transferring the call to a human representative.

💡Voice ID

Voice ID in the Bland AI service refers to the unique identifier for a specific voice that the AI agent will use when making calls. The video script describes how to select and set a voice ID for the AI agent to ensure that the calls have a natural and personalized tone.

💡Reduced Latency

Reduced latency is a setting that determines the responsiveness of the AI agent in a conversation. In the script, setting reduced latency to true makes the AI respond more quickly, simulating a more natural conversation flow during the calls.

💡Test Mode

Test mode is a setting in the AI program that allows for a controlled testing of the calling process. The script mentions setting the test mode to true to ensure that the AI only calls the first number in the list, providing an opportunity to verify the functionality before scaling up to the entire call sheet.

💡Analysis Report

An analysis report in the context of the video is a summary of the outcomes from the batch of calls made by the AI program. It includes details such as customer interest, reasons for disinterest, and whether they requested to be transferred. The script describes generating this report to evaluate the effectiveness of the calls and the engagement of the AI with potential leads.

Highlights

The video discusses the commonality of cold calling in sales, real estate, fundraising, and recruiting.

Hollywood movies like 'The Pursuit of Happiness' and 'The Wolf of Wall Street' showcase exceptional cold calling skills leading to more sales.

A Python script is introduced to automate cold calls using an Excel sheet of contacts for sales leads.

The Bland AI program is used to interact with contacts, answer questions, and forward interested leads to the salesperson.

Instructions on setting up a Bland AI account and obtaining an API key for script integration are provided.

The importance of correctly formatting the Excel sheet with names and phone numbers is emphasized.

A detailed guide on saving the Excel data as a CSV file for script compatibility is given.

The process of mounting Google Drive to Google Collab for file access is explained.

Customizing the Python script with the Bland AI API key and CSV file path is demonstrated.

The script's functionality to define call parameters such as the call goal and transfer list is covered.

Pronunciation guides for the AI agent to correctly pronounce difficult words are discussed.

Bland AI's documentation is referenced for further customization options of the AI agent's behavior.

The script includes variables for model selection, voice ID, and latency settings for a natural conversation flow.

The video explains how to generate a report of the batch calls for analysis and feedback.

Emergency stop functionality is included to halt the call batch if necessary.

A step-by-step guide on running the Python script in Google Collab is provided.

The video concludes with a summary of the script's capabilities and a reminder of the resources available in the description.

Transcripts

all right so what do jobs in sales real

estate fundraising or recruiting all

have in common well they all rely on the

sobering task of cold calling people in

order to get leads mastering this

daunting challenge is a Hallmark of many

Hollywood movies including the pursuit

of happiness and the Wolf of Wall Street

the main characters exceptional cold

calling abilities is what sets them

apart from many of their peers

presumably leading to more sales I

recently watched the pursuit to

happiness and there's a scene where the

main character talks about having to go

through a call sheet and he realizes

that if he doesn't hang up the phone he

can get through more calls per day than

his co-workers in order not to waste any

time I wasn't hanging up the phone in

between calls okay thanks very

much I realized that by not hanging up

the phone I gained another 8 minutes a

day and this got me thinking could we

write an AI program that would

automatically call contacts in a call

sheet and then only forward the leads

that were interested in the product or

service that you're selling well that's

exactly what I'm going to show you how

to do in today's video I wrote a python

script that will take an Excel sheet of

names and phone numbers and go through

each one calling them individually and

then an AI agent will speak with the

person on the other line about whatever

product or service you're offering the

AI agent can answer questions give the

person on the other line more

information and then if the person's

interested forward the call to you so

that you can close the sale or give the

person more information about the

product or service now to do this I'm

going to use a program called Bland AI

now if you're not familiar with Bland BL

AI I've done a couple videos that I'll

link here on using Bland AI with a

custom GPT for example or using their AI

agents to lower your internet bill now

for this video I've got all the code and

everything you're going to need in the

video description so go down there and

check that out it also has a sign up

link for Bland Ai and they'll give you

25% off your first order when you use

that link now if you enjoy this type of

content or you enjoyed this video please

consider subscribing to the channel and

like the video it lets me know what type

of content people enjoy and it really

helps me out a lot okay so to begin I've

got an Excel sheet here that has a

column of names and then the associated

phone numbers it's important that you

have your data formatted exactly how I

have here with the column a labeled as

name and column b as phone number you

also need to make sure that you have the

country code and then the 10 digits of

the phone number after that bland AI

doesn't specify how many numbers you can

have to use their service um hundreds I

would assume you may want to try this

out with a smaller data set first just

to to kind of make sure that it's

working right once you have your data

formatted correctly then go to file save

as and give your file a name I'm going

to call mine call sheet example just

like I have here and you'll see that it

shows file format here and right now

it's set to excel workbook if you click

that you can go to CSV utf-8 comma Del

limited. CSV we're going to save this as

a CSV file and that's really important

because that's what allows our python

script to talk to our data in the Excel

sheet so go ahead and save that

someplace

and we'll come back to that file later

now we're going to actually set up our

Bland AI account use the link in the

video description to sign up for Bland

Ai and once you're signed up you should

see a page that looks something like

this the first thing we're going to do

is get what's called an API key and

that's basically a way for Bland AI to

talk to your specific Bland AI account

through the Python program that we're

using today so go to your account here

and then you'll see API in the top right

corner click that and then you'll see

this start out API key Now API keys are

kind of like password so if anybody has

this they can use it to access your

account and your credits then so you

want to keep this secret I'm going to

deactivate mine after I publish this

video so don't bother trying to steal

mine once you've got that just click

this copy button here on the right side

and if you hit this little eyeball you

can actually see the API key so you see

it's just long string of characters so

once you have that copied now go back to

the video description and open the

Google collab that has the python code

that we're going to run today now when

you open that it should look something

like like this now if you look on the

row down here it says your Bland AI API

key go ahead and highlight that and

delete it and then paste the API key

that you just copied from Bland AI now

the program is going to use your API key

to talk to your Bland AI account next

what we need to do is get the CSV file

that we just saved into our Google

collab window so to do that we're going

to click the file icon here and you'll

see a window that looks like this next

click on this Mount Drive button and

that's going to link your Google drive

to your Google collab session window

it's it's going to pop up and say do you

want to permit this notebook to ask

access Google Drive click connect to

Google Drive and then that'll take a

second to mount once that finishes

you'll see this little drive folder pop

up you can drop that down and navigate

to where you want to save your file for

your program here so you can see I've

got a couple folders from past videos

I've done and I've got this folder here

called cold call assistant uh you can

click the three dots and that's how you

create new folder so that's how I

created this folder specific to this

project so now what I'm going to do is

go back to my folder where I saved my C

SV file with my Excel data and then I'm

going to drag it in to my Google collab

just like this into that cold call

folder and then you'll see it actually

adds it now into my program now what you

need to do is click the three dots and

hit copy path and now if you go into

your program again you'll see your file

path right here in large letters

highlight and delete that and then paste

the file path that you just copied now

I'm going to close the folder view so we

can see our code better now I'm going to

walk you through exactly what this

program is doing so you understand what

you can modif ify and customize to make

it work for your application the first

thing is this installs the programs that

we're going to need to use in our python

Library so you load this each time next

you're going to import the programs that

you just installed so that's what this

line does uh we already talked about

this this is where you're defining the

API key for Bland AI this just sets it

up and formats it uh how bland AI needs

so that it understands how to read your

API key next here is load the call list

from the CSV this is actually going to

pull in the CSV file from the file path

that you pasted here next we're going to

actually Define what we call the payload

for the batch of calls that we're making

now the payload is basically defining

the parameters for each call that you're

going to make so Bas prompt is basically

the goal of the call that you're going

to have for each person that you're

calling so you can see in this example

here I said you're calling to speak with

name about refinancing their mortgage

down to 6% please tell them it's never

been a better time to refinance and

you're calling from a state of bliss

realy if the person is interested

transfer the call to default now I'll

explain what the curly brackets and

default and name are so we actually

Define name just below here so you can

see where it says Name colon row and

then this is the column A from the Excel

sheet so that's where it's pulling the

name from and then phone number is

actually defined as the phone number

column that we labeled so that's why

it's important that you have it

formatted exactly the same and then this

line here it basically just says this

program is going to go uh one by one

through each row and perform the call

now transfer list this is the phone

number if the person on the phone wants

to be transferred to a sales

representative or you know a different

department that's going to have more

information this is where you're going

to Define this so in this example I've

got default which is if the person's

interested you can transfer the call to

default that's where I'm defining that

phone number that the AI agent will then

forward the call to so this would be my

phone number for example you can also

have multiple phone numbers that the AI

agent could forward to uh for this one

I've just got default and sales so you

could have like billing or something

depending on how complex your uh the

call that you're trying to perform is

this next section is kind of cool so

this is where you can Define tough to

pronounce words that the AI agent is

going to pronounce when I was playing

with this it would say real T kind of

interesting and so I wanted it to

pronounce it real T pretty

self-explanatory you put the word that

you wanted to pronounce correctly and

then you annotate the pronunciation

below that the other way you can use

this is for like three-letter acronyms

like API so when it comes across API you

put a space p space I it'll make sure

and say API and not pronounce appy or

something like that another Pro tip I

have for you you may notice that I put

the mortgage as 6% and I spelled out 6%

Bland AI recommends you spell out

numbers the AI agent tends to say those

better and handles them better that way

so make sure you put numbers spelled out

even phone numbers if you have that in

here I recommend putting it as spelling

out the the phone number using the words

okay so now we're going to get into some

of the specific things to Bland Ai and

what they allow you to modify in your

call I got all of this information from

their document from their website I'm

going to show you where to find that so

that you can see the other things that

you can modify in this program so going

back to the developer portal you'll see

on the left column here there's a

section under resources called

documentation if you open the

documentation the variables that we're

using today are in the send call section

so if you click Send call here it'll

actually give you kind of a breakdown of

the different variables and parameters

that you can adjust if you look on this

side don't get confused by that if you

click python it'll be in a more familiar

format we have ours defined as batch

payload and then these are the different

param that they'll allow you to modify

and kind of show you an example of what

it can look like I've parsed mine down

to just some of the more interesting

variables but you can certainly include

some of these if you're interested in

adding that this middle section will

give you more information on each

variable so it'll tell you how to format

it correctly what some of the different

options are that kind of thing going

back to our program the first one we

have is models this is actually the

Bland AI model that we're going to be

using to talk to people on the phone so

if you go to the model section of the

documentation you'll see that they

Define model as either enhanced gp4 Bas

or Turbo and it says it defaults to

enhanced so that means if I didn't

include it in my code it would just

automatically use that but I wanted to

show this so I actually defined it in

mine so you could make it gp4 uh base

enhancer turbo but they give you some of

the trade-offs here so for our

application enhanced is probably the

best to choose the next thing I've got

is wait for greeting so this is

basically telling the AI agent to wait

for the person on the other line to say

hello or pick up the phone and and say

something first it's not just going to

start talking as soon as that person

picks up the phone if you want to change

that if you want your AI agent to start

talking right away you can change that

to false and then it'll just start

talking as soon as the person picks up

the phone first sentence pretty

self-explanatory this is going to be the

sentence that the AI agent says uh when

the person picks up or when it first

starts talking so I have mine said to hi

there calling about refinancing your

mortgage down to 6% are you the current

homeowner so for voice ID you can

actually change the voice of the AI

agent and even set it to a custom voice

if you want again I covered this in a

past video on how you can make a custom

voice uh but I'll show you how you can

change and use some of the default

voices that they have from Bland AI so

if you go back to the developer portal

you'll see a section here called voices

so if you click on that it's got voice

presets or your voices if you click on

your voices there's a voice ID that's

set here you can decide if you want your

AI agent to sound like Ryan or Adriana

whoever you just need to copy this long

string it looks like they've added a lot

more voices since I was first on here so

I'm going to use one of these other

voices in my program for this example so

let's use Josh so I'm going to copy this

and then paste it here where it says

voice ID in quotation marks so now it's

going to use the Josh voice for each of

the calls and you can change that to

whatever you'd like okay after that

there's reduced latency this is

basically how quickly you want the AI

agent to respond so if you wanted to

have more of a natural conversational

flow you want to set this to true if you

don't have this set to true there can be

like a lag or a delay when the person's

talking or ask a question I have this

set to true and I I think that's

probably the best temperature is how

creative you want the AI agent to be if

I go back to the documentation it tells

you that you can set it from a value of

zero and one and it controls the

randomness of the llm zero causes more

deterministic outputs while one will

cause more random in this program I have

it set to 7 test mode so this is

important so when you're first setting

up this program you want to set this to

true so what this does is you've got a

call sheet of let's say 100 numbers and

you're testing it out you don't want it

to just start calling all 100 numbers

while you're trying to get it figured

out so if you set this to true it will

only call the first number in the Excel

sheet so when I was playing with this I

set the first number to my phone number

um and then that way I could talk with

the AI agent and make sure that it was

working the way that I wanted it to work

campaign ID and label these are just uh

ways to label the batch of calls that

it's going to be making so that you can

kind of manage it from your Bland AI

account okay so now we've defined the

payload that we're going to be sending

for each of the calls this next section

is just how we send the call so when you

run the program it'll actually send all

of that for each line of the Excel sheet

this next section here is just a way for

us to get a print out of whether it

successfully started the calls or if it

errored out and had a problem so if it

works it'll say batch sent successfully

and if it fails you'll get this uh

failed to send batch print out in the

code down below so that's useful because

it lets you know the codee's working as

you want like you wanted it to so now

this thing's running and you're like

okay I hope it's working or you know

what's the feedback you know are people

picking up is it just going to voicemail

are people asking to be transferred so

this next section allows you to generate

a report of the batch of calls that

you're sending so NE you can run this at

any time you know presumably after it's

been running for a little bit so that

you actually get some data on the calls

that it's making but it'll create this

report based on the goal that you set

and then it'll ask this question for

each call and then give you an answer

for each of these questions in a report

format so for this I'm saying are

customers interested in refinancing

their mortgage and for each call I want

to know who answered the call was it is

it a human or did it go to voicemail was

the customer interested in refinancing

yes or no did they ask to be transferred

yes or no and what reason did the

customer have for not wanting to

refinance uh you'll notice for this one

I set it to string so what that is is it

allows it to be more than just a yes no

or a numerical answer this is going to

be um what we call a string of

characters or words so you know the

customer may say I'm not interested

because my rate's lower than 6% right

now this just lets you know that the

report worked correctly and then defines

some of the Vari based on the questions

I asked you can modify this goal and

these questions as well as the uh

response and variables it'll print this

report then in the window right here for

the calls that it's already completed um

and then comment it out here you'll see

this uh hashtag sign if you remove that

hashtag sign then it'll actually save

the report as a CSV file in your Google

Drive in the folder here so you know if

you have 100 calls with statuses and

reports and everything you'll want it to

save as a report so that you can look at

it more easily Excel and uh be able to

do more with the data there um and then

if for whatever reason this code doesn't

work it'll tell you fail to analyze

batch and so you know there's something

going on up here that that didn't work

right you can run this section here and

it'll actually stop the batch of calls

so it doesn't have to just finish

through the rest of the calls that

you're making so that's kind of the

emergency break if you will that allows

you to stop this thing from running but

that's pretty much it so again to run

this you're just going to hit these

little play buttons I'll run this one

just so we can kind of see an example of

what it should look like when it runs so

you see this little green check mark

that means it's it's completed and then

you'll run this one and if it runs

successfully you should get the little

check mark here and then at the bottom

it'll say batch sent successfully so now

it's going to start going through the

call sheet but because I have it the

test mode set is true it's only going to

call the very first number in the call

sheet so again if you want this to run

for the entire call sheet you need to

change this to false now I can run the

analysis report should only have one

call that it's performed and you can see

this is the print out that it has here

so batch analyzed successfully it gives

you the call ID so each call is going to

have a unique ID um and then answered by

it says na here the call may not be

completed yet or because I'm in test

mode it may not generate it um and then

interested in refinancing um and then

it'll be the result here and then ask to

be transferred and reason not interested

so you can kind of see they're like

right Justified basically but um you

know if you had 100 numbers it would uh

have 100 call IDs and go all the way

down and if while it's running you

wanted to stop sending the calls and

proceeding through the call sheet you

can uh use the bottom one here to stop

the call but that's pretty much it so

again I have all of the code and links

in the video description if you use the

link to sign up for Bland AI they'll

give you 25% off so definitely use that

and if you enjoyed today's video please

consider subscribing to the channel it

helps me out a lot and lets me know what

type of content people enjoy but uh

that's all for now so until next time

thanks