Make Money With AI & Automation (No BS)
Summary
TLDRThis video offers a step-by-step guide to building an online business by identifying and solving a specific problem for a targeted audience. The example focuses on automating YouTube comment management using AI and the 'Make' no-code automation platform. The presenter shares a free blueprint for a YouTube comment automation system, demonstrating its capabilities and providing insights into creating and selling similar systems, including a strategy for generating recurring income through custom applications.
Takeaways
- đ The fastest way to build a business online is by identifying and solving a specific problem for a particular audience.
- đŻ The example given is solving the common problem of managing comments for YouTubers, which can be time-consuming and stressful.
- đ€ Utilizing AI and automation is the recommended approach to solve such problems efficiently in the current technological era.
- đ The 'Make' platform is introduced as a no-code automation tool to build and sell services to clients online.
- đ The video provides a step-by-step guide on creating an automation for handling YouTube comments, showcasing the power of AI in analyzing and replying to comments.
- đ The automation system categorizes comments based on sentiment, urgency, and whether they require a generic or specific reply, storing the data in a Google Sheet.
- đ The presenter offers a free blueprint for replicating the automation system, which can be imported into the 'Make' platform.
- đ The system can be set to run on a schedule, automating the comment handling process for YouTube channels at regular intervals.
- đ The script emphasizes the importance of prompt engineering when working with AI models to get the best results.
- đ A special tip is shared on creating custom applications within the 'Make' platform, allowing for the sale of access on a recurring basis, ensuring a stable income.
- đ The video concludes with an invitation to learn more about the custom application technique and to get the automation system for free by following a link provided in the description.
Q & A
What is the fastest way to build an online business according to the video?
-The fastest way to build an online business is by identifying a specific problem for a specific group of people and solving that problem.
What is the main problem the video aims to solve for YouTubers?
-The main problem is automating the process of handling comments on their YouTube channels to save time and provide valuable insights.
What does the video offer as a solution for managing YouTube comments?
-The video offers a no-code automation platform called 'Make' to build an automation system that can handle and analyze YouTube comments.
How can viewers access the 'Make' platform for free as mentioned in the video?
-Viewers can access the 'Make' platform for free by signing up through the partnership link provided in the video description, which gives them a free pro account for 30 days.
What does the automation system do with the YouTube comments?
-The automation system fetches the latest YouTube comments, analyzes them with AI, decides whether to reply or not, and then replies and archives the comments in a Google Sheet.
How does the AI analyze the sentiment of the comments?
-The AI uses a completion module to generate a structured JSON object that includes the sentiment analysis of the comments, determining if they are positive, negative, or require a specific reply.
What is the purpose of the Google Sheet in the automation system?
-The Google Sheet is used to archive the comments along with their analysis, such as whether they can be used as testimonials, their sentiment, urgency, and any suggested replies.
How can the automation system be customized for different clients?
-The system can be customized by importing a blueprint into the 'Make' platform, which includes modules for connecting to different YouTube accounts and Open AI keys.
What is the special trick shared in the video for creating a stable recurring income?
-The special trick is to integrate custom applications within the 'Make' platform that require an API key, allowing you to sell access to these applications on a recurring basis.
How can viewers replicate the system shown in the video?
-Viewers can replicate the system by downloading the blueprint and importing it into their 'Make' account, following the step-by-step guide provided in the video description.
What is the importance of using AI in the automation process as described in the video?
-Using AI in the automation process allows for more intelligent decision-making, such as determining the sentiment of comments and suggesting appropriate replies, which enhances the efficiency and effectiveness of the automation.
Outlines
đ Building a Business with AI Automation for YouTubers
The video script introduces a method to rapidly establish an online business by identifying and solving a specific problem for a targeted group. The example given is for YouTubers who face challenges managing comments efficiently. The speaker offers a free system to automate this process using AI and a no-code automation platform called 'Make'. The system analyzes comments, determines sentiment, and replies where appropriate, also logging details in a Google Sheet. The speaker demonstrates the system's effectiveness and offers a free trial of the 'Make' Pro account, along with a step-by-step guide to replicate the system.
đ Replicating the YouTube Comment Automation System
This section of the script provides a step-by-step guide on how to replicate the YouTube comment automation system within the 'Make' platform. It explains the process of setting up the scenario, connecting a YouTube account, and using OpenAI modules to analyze comments. The script details the use of a router to handle two paths: one for generic replies and another for comments requiring manual review. It also touches on the possibility of automating the system on a schedule and the importance of building customized systems for clients.
đ Constructing the AI Analysis and Reply System from Scratch
The script continues with instructions on building the AI analysis and reply system from the ground up. It covers the process of setting up a new scenario in 'Make', adding a YouTube module to watch for new comments, and using an iterator to loop through comments. The AI is then used to analyze each comment, with the output structured into JSON for easy access. The script explains how to set up a router to direct the system's response, either saving the comment data to Google Sheets or replying to the comment based on the analysis. It also mentions the importance of prompt engineering for working effectively with AI models.
đ Monetizing Automation Systems with Custom Applications
The final paragraph discusses a strategy for turning automation systems into a stable recurring income source. The speaker introduces the concept of custom applications within 'Make' that require an API key, allowing for the selling of access on a subscription basis. This method secures the system and allows for ongoing revenue as clients need to subscribe to use the system. The script also mentions a special trick for creating custom applications and suggests watching another video for more details on this technique.
Mindmap
Keywords
đĄProblem Identification
đĄAutomation
đĄAI (Artificial Intelligence)
đĄYouTubers
đĄComment Management
đĄNo-Code Automation Platform
đĄGoogle Sheets
đĄSentiment Analysis
đĄGeneric Reply
đĄCustom Application
đĄRecurring Income
Highlights
The fastest way to build a business online is by identifying and solving a specific problem for a targeted audience.
A real-world example demonstrates how to automate the handling of YouTube comments to save time and provide insights.
The system is offered for free, allowing users to start implementing it from the day they watch the video.
Learning this strategy enables the creation of hundreds of different systems for online work.
The first step is to identify the audience and the problem, in this case, YouTubers and their comment management.
AI and automation are the tools of choice in the current era for solving such problems efficiently.
Make.com is introduced as a no-code automation platform to build and sell services online.
A partnership with Make.com offers a free pro account for 30 days to get started.
The automation process includes fetching, analyzing, and replying to comments, as well as archiving them in a Google sheet.
The AI analyzes comments for sentiment, urgency, and whether a generic or specific reply is needed.
The automation can be scheduled to run at intervals, handling comments automatically on any YouTube channel.
The system includes a step-by-step guide for replicating the automation within a Make account.
YouTube module and Open AI keys are required to connect and analyze comments effectively.
A flow control iterator is used to loop through and process each comment individually.
The system uses AI to generate a structured JSON response for easy access to comment data.
A router is utilized to direct the system to either save comments to Google Sheets or reply to them.
Filters are set up to ensure only appropriate comments receive generic replies.
Custom applications can be integrated within Make, allowing for selling access on a recurring basis.
A special trick is shared to turn the automation into a stable recurring income through custom applications.
The video concludes with an invitation to learn more about the technique and get the system for free.
Transcripts
the fastest way to build a business
online and to have a new income stream
is simply by finding a specific problem
for specific people and solve that
problem in this video today I will show
you a real example on how you can do
this easily and I will give you my full
system for free so you can try this
starting from today not only that by
learning this strategy you'll be able to
build hundreds of different systems and
start working on online today if you are
ready let's get started step number one
is to identify the problem you want to
solve today in our example we'll be
solving a problem for YouTubers you know
we have thousands of YouTubers all over
the world and we have one common problem
all those YouTubers struggle with which
is handling comments for example this is
my channel I am a YouTuber and I know
this every day I get tons of comments
and I need a way to manage this to save
time maybe there are people asking
questions people asking for discounts or
products reviews or maybe you want to
reply with a simple thank you for a
comment like this one here thank you web
devsters for this comment so you want to
automate the full process just imagine
reaching out to a YouTuber telling him I
will save you tons of hours and stress
automating all the comments and
providing you valuable insights from
your comments you will see how much
important is this in a couple of seconds
when you see the magic of the service
that you will learn in this video so
step number one identify the audience
YouTubers the problem is automating the
process of handling comments step number
two is to solve this problem today we
are in the AI era and the the best way
to solve such problems is with
automation plus Ai and what's better
than make this awesome no code
automation platform that will help you
build automations and provide services
and sell services to clients easily
online so we are going to use make to
build this automation system and sell it
to any YouTuber we want so if you on
YouTu make just go create an account get
started and log in with your account you
can get start totally for free and the
good news I have partnered with make to
give you access for free to the pro
account for 30 days you can now go join
the link in the description and get free
access anyway log into to your make
account I will log into to mine and in
the scenarios I created this YouTube
handling comments automation don't worry
I will give you this automation for free
and show you exactly how I built it step
by step in a couple of minutes so you
can do the same and build different
systems but first let's see the power of
this automation this simple automation I
will click on run so what's happening
here is fetching my latest YouTube
comments analyzing with AI deciding if I
can reply or not then replying and aring
in a Google sheet if you take a look on
this Google sheet now I'm sure you will
love the result
you will see here I am fetching each
comment and checking if this comment is
good as a testimonial then checking the
sentiment is it positive or negative
comment and see if requires a reply or
not the urgency can I reply with a
generic reply like thank you or so it
contains a question or not suggested
reply with AI the language how many
characters and information about the
author and the video and the channel and
the video ID every single detail is
arged in this Google sheet and thank you
all for these all positive comments all
of them are positive comments so for
example this comment awesome idea great
video so the sentiment is positive and I
can reply with a generic reply thank you
for your kind words and the AI will
reply for example this one excellent
works well and we have some questions so
here it says we have a question but we
can't have a generic reply for this
comment so we can check it manually and
so on so you are providing this service
this automation to YouTubers to handle
their comments automatically I still
have three things to share with you
today number one I want to give you this
system for free number two I want to
show you how I build it from scratch so
you can build your own customized
systems on number three I want to share
with you a tip a secret tip really it
will help you build a stable income with
these systems I don't think you want to
miss this so to replicate the system
inside your account simply go here to
scenarios inside make and click on
create a new scenario so to make things
simple for you just click here on these
three dots and click input blueprint
choose file and select the blueprint
you'll find it in the description below
with the full stepbystep guide just
download it and import it inside make
and boom you will have the system it's
super simple by the way first we have
this YouTube module and you need simply
to connect with your account just click
here on ADD and sign in with your Gmail
or the channel account the YouTube
channel account then go here to open AI
modules and add your own open AI key
simply here add it and save it we have
here the comments that returns
Json with these Advanced prompts analyze
the comments then we have another module
here that will read the structured
output we'll talk about this in a little
bit just follow up now so we have these
two openi modules then we have a router
this one will have two paths the first
one is to reply to a comment if it is a
comment that accepts a generic reply
remember here in the spreadsheet we have
this generic reply so if it's simply a
comment like this one nice or awesome
info best of luck your video is so
helpful great information thank you so
all these comments can be replied to
with a generic reply thank you or so on
so we will handle this automatically and
reply to these comments with AI and then
we will arive all the details to Google
Sheets this way so let's scroll down and
you will see this now in action we will
run it
run and now if you go here to Google
Sheets and look at this 91 is empty now
it will start filling the data you see
thank you Hassan thank you too another
comment another one you are the best
thank you and so on so the scenario is
working now and handles comments
automatically and remember we can
automate this with a schedule so for
example you can set this to run every 15
minutes or once a day or once a week and
so on and handle comments automatically
on any YouTube channel
now let's build this from scratch you
will see like in like 2 minutes we'll
have the system ready but this is very
important if you want to build customize
systems for your own clients so again I
will go here to scenarios click on
create a new scenario and we will start
with a YouTube module YouTube and watch
new comments and here simply as I
mentioned you need to add your account
in case you not signed in yet and here
there's a very important question you
should ask I am providing this to my
clients I don't have access to their
channels so how we can authenticate with
our client's channel here we have two
approaches number one you can ask for
permission not full permission like
editor or permission to access comments
or you can set up the system as a
service on their own make account or or
we have the third tip I will mention a
little bit that is a game changer in
selling automation systems anyway so
here we have watch comments in Channel
you need to enter the channel ID and the
moderation status for published you can
search for terms if you want or and you
can set the limit for number of comments
let's say 10 comments with each
operation and now it will tell you when
to start for example from now from a
specific date all comments I will say
going from now next after we fetch the
comments from a channel we need to
iterate over these comments let me show
you this if you run this without
anything now just run and if you go here
you will see in the output we got the
comments as bundles bundle one bundle
two bundle three and so on so the next
step is to Loop iterate over each of
these bundles so we are going to add a
flow control iterator it simply iterates
over each comment and simply you select
the text and the comment ID so we can
get both values in each iteration so we
are looping let's set the iterator here
we are looping next we are going to add
up AI so we can analyze the comment
click on create a completion and you
need to add your open AI connection and
here select create a chat completion
select the model will go with GPT 4 and
then I'm going to add a message the
first one is a system message and the
second one is the user message in the
system message I will tell the AI model
to generate adjacent object out of the
response so it will analyze the comment
and then reply with this format so I can
access every single value easily with
this organized structur Json structure
if you are new to prompt engineering
please check my free course here on my
YouTube channel it will help you
understand how to work with AI models
and get the best out of AI models and if
you are interested more in learning
about this Advanced Techniques you can
check my full course on my website
prompt engineering from zero to
scripting AI workflows anyway the second
message is the analysis message so
simply here I will tell the language
model or the AI act as an expert YouTube
comment analysis to analyze the comments
I will provide the comment as an input
and it will determine the comment if
positive testimonial the sentiment all
these we assigned here the AI model will
check for it and then will pass the
input YouTube comment you can see here
we can select it coming from the
iterator so for each comment now we are
running this chpt module and then let's
go down and set the maximum tokens to
zero so we don't have a limit on tokens
then after that we are going to extract
the output with another openi module
which is transform text to structured
data so in this way we can read the data
the text Data coming from the AI and
read it as a structured data let me show
you this in the original system if we
open it you will see here we are reading
the message content from the first CHP
module then we are extracting the Json
so here we have can be testimonial we
have then a sentiment we have required
reply what are these parameter names
simply it's coming from this Json
response you can see can be testimonial
sentiment requires reply so what we are
doing here simply is adding these
parameters and extracting them from the
AI response so we can read them easily
in the next modules so I will configure
this the same way you just need to
select the model for example gp4 text to
pars I will select here from the choices
we have message content so the response
of this module will be ped and extracted
using this module here and then you can
add definitions add data definition and
then simply SE the parameter name for
example here we have can be testimonial
copy and simply pass it here as a
parameter name and you can add
description if you want data type as
Boolean for example if the comment can
be used as testimonial and so on you
fill up all the data definitions in this
module now to save time I do this fast
and you can see now I have all the
parameters perfect I extracted them next
we need to add a router so we can have
two paths add a router and path one
please Focus here very well path one
will be to save to Google Sheets just
create or add a row and add the
connection the same way and here select
the spreadsheet simply go here select
enter manually to enter the spreadsheet
ID for example here the ID we can get it
from the URL just copy it this way and
paste it here the sheet name is comments
just write comments here and the column
range is a to Z and then simply for each
column you said the value for example
here in the first value we have the
common so we say text original so in
this way we are adding the comment here
the text of the comment then in the
section or in the column B we will add
can be testimonial then in C we add
sentiment you can see now how easy it is
to access the parameters or the
structured data in D we add urgency in E
we add generic cryp reply and so on
suggested reply comment language and
character count for example and for J we
are going to add the comment ID the
channel ID the video ID and the profile
image in case you want to use the
comment as a review or testimonial you
will have also the picture or the
profile picture of the commenter perfect
you can add whatever data you want
publish date like count whatever you
want and click okay now please focus on
this the second route is for replying to
the comment so I will add Here YouTube
and click on reply to a comment and here
we need to enter the comment ID we have
it from the iterator we can get it and
the content is the suggested reply you
see here we got it from the AI but we
don't want to reply to every single
comment so we are going to add a filter
here set up a filter let's say only
gener
replies and simply set the condition
here that if can have generic reply is
equal to True let's set here
aoan operator equal to true this is
small letter and I will say if also the
sentiment is true or positive and if
question detection is equal to false if
you don't have a question in this way it
will reply so we have only generic
replies like thank yous and so on so
this is how I build the system it's that
simple this is how you can use make
easily really make is a powerful
software for automations you can see how
easily in a couple of minutes you can
build these systems and sell it now it's
time for the special trick that I want
to share with you that will help you
turn this into a stable recurring income
please focus on these couple of seconds
here's other system I built with make
for automating Content research I shared
with you this a couple of weeks ago
anyway if you look at this system we
have here something called a custom
application a custom module I built
inside make if you open it it will
require an API key so what you can do is
you can integrate your own modules your
own custom applications inside make and
use an API key so users or your clients
need this key to access these systems so
not all you are going to sell the system
as it is maybe maybe for one time or set
up for one time you can provide a
special
application that they require to
subscribe to in order to use the system
and here if you go more we have here
custom apps you can use this
section to create your own custom
applications and sell access to this is
a great way to lock or secure the
systems the automations with your own
own applications and sell on a recurring
basis if you want to learn more about
this technique and how I buil this
extract web content and the power of
this application and get it for free you
can check out this video here I hope you
learned something new today if yes smash
the like button don't forget get the
systems the full guide the details in
the description below see you later
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