Okay, so in part three of this bootcamp, we have been, uh, working with cursor AI and other coding
assistance, and we have shown that today you can build a lot of, uh, very interesting projects,
software projects without writing code, just with cursor AI and other similar tools.
So when we finish that part three, we, uh, had one, uh, additional goal in mind.
One question can we build a SAS application with cursor AI today?
So we saw that with cursor AI and similar tools, we were able to build simple applications.
And we wanted to know if cursor AI Is today ready to build the most serious kind of application we have
right now in the market, which is the software as a service application, the SaaS application or a
what we can say, probably the business model or the kind of application that 99% of the tech startups
have today.
And when we are talking about tech startups, we are not just talking about the small companies, we
are talking about very big multinationals like Airbnb or Facebook, etc...
Right?
So software as a service right now is the most important model in the tech world, in the startup world
for sure, in the software world for sure, etc...
Right?
So this is the question that we had in mind when we started this part four of the bootcamp.
But while we were working in that field.
We also found that it would be super interesting to include in this new part a wider analysis of what
is happening today in the SaaS world with the generative AI introduction.
And we are going to use two a headers that a two headlines that we have seen in many newspapers during
the last weeks.
The first one regarding a how Klarna, which is a company you already know in this bootcamp, Klarna
is a Swedish bank.
So it's a very weird company to have as an example, in a, in a in a bootcamp like this.
But Klarna a when OpenAI launched a ChatGPT, they went to San Francisco and they told the, the, the,
the OpenAI team A, we want to work with you.
We want you to experiment with our company.
We want to be the first to try everything you do.
Right.
So Klarna has been one of the examples of what you can do with generative AI when you are using cutting
edge technology, right?
So we already know Klarna because we use Klarna as an example of how generative AI can replace customer
service in a company.
This is a spectacular real case, the case of Klarna.
But in this part four, we are going to use Klarna because a few weeks ago, the CEO of Klarna announced
that they have replaced major SaaS applications with general AI.
And when I say major SaaS application, I mean Salesforce, workday and applications like that.
So Klarna was spending thousands of dollars every month in this major SaaS application.
So they have Salesforce, they have workday, etc. they pay thousands of dollars for these kind of applications,
right?
But today they are saving all this money.
They they stop paying for these major SaaS applications like Salesforce or they and they have replaced
these applications with internal generative AI tools.
This has been like an earthquake, a like a tsunami in the in the startup world and especially in the
SaaS world.
Right.
So we are going to see what is happening there.
What was exactly the case with Klarna?
Learn.
Why did they replace this major SaaS applications and why are they using generative AI instead?
And we are also going to use a very interesting, super interesting interview that recently was made
to one of the CEOs of one of the top unicorn startups in Europe.
So you will see that this CEO, which is a very relevant person, as you will see, he said AI agents
will kill SaaS applications.
And this is not just a guess from this person.
He is going to explain how they have replaced their SaaS model, there SaaS software as a service business
model in their company, which is $1 billion company, as you will see, by a 100% AI company.
So in this part four, we are going to a think about the SaaS application and the SaaS business model
because we think this is the most advanced a business model being affected by generative AI.
And many of the things you see are happening in the SaaS world.
You will soon see in other industries as well.
Okay, so these were our three initial questions when we started this part four.
Okay.
Can we build a SaaS application with cursor AI today?
And what is happening in the SaaS world with the introduction of generative AI, and you will see that
this is going to have a lot of consequences for you as generative AI engineers.
So the goals of this part four are these three.
First, to visualize how generative AI has already started changing the SAS model.
And you will see a lot of things here that are going to be applicable to other industries.
Second, to show how generative AI facilitates building and running SAS businesses.
And this is very important, not just we can build a SaaS applications, but we can also run SAS businesses
with the help of generative AI.
And you will see this is going to be this is this is going a this is right now being a revolution.
You will see we are talking about real cases and we will show you what is happening on real time and
third goal.
We want to a state that the SaaS business still requires lots of hard work.
And this is important because in some fields, especially in social media, we are seeing some ideas
a about from, you know, this, this, this get rich quick people.
You know in many cases in my, in my opinion these are like a untrue statements.
But some people are saying, yeah, you know what, you can create a SaaS business in a matter of days
and you can become a multi-millionaire in a matter of weeks.
No, no, no, no, this is not true.
And we are going to tell you what is really happening, happening and how you can a have a realistic
view of what is happening and what is going to happen.
Okay, so yes, revolutionary change for sure, but be careful.
Do not be fooled by some messages out there.
So these are the four myths we are going to break in this part four.
The first one is the myth of the micro SAS and the get rich quick schemes.
You know, right now we are seeing some of these in the social media.
We are also going to break the myth, the idea that generative AI will totally replace a software as
a service or SaaS businesses.
And see here the the the note we make here myths by now.
So maybe in the near future we will see this happening.
But today, in the next months, in the next years, we think that this is still a too soon.
Okay.
This is to right now is too early to make this statement.
So in our opinion, generative AI is not going to replace SAS immediately.
We are going to see a transition.
And during the following years, months and years, we will see that AI agents are going to enter more
and more in the space of the SAS applications.
But, uh, as, as as in the previous bullet point, we think that this is going to be a progressive
approach and this is going to take time, you know, so it's not going to be a thing of of days or weeks.
And finally, we also want to, uh, break the myth.
You know, that cursor I can build a complete professional SAS application today and you will see what
what we have achieved.
We have built a SaaS application using cursor AI, but it's still a very basic SaaS application.
And you will see that when we want to go one step further, when we want to build a like a professional
SaaS application, then we start seeing the limitations of the current version of cursor AI.
But remember, cursor AI is a super new tool.
It has just a few months of life.
So we are totally convinced that in a few a well in a few years for sure.
But we we are totally sure that in months we are going to see the capability of cursor and similar tools
being dramatically increased towards this goal.
So we think that this is going to be a an achievement, a real achievement that is going to be possible,
but not today.
So today we will share with you what have we learned when we tried to to build a professional SaaS application
with cursor?
And you will see that today is still too soon to be able to build a complete professional SaaS application.
You will see that we can build the first step, the second step.
But when we go to the third step, four step, we start seeing limitations.
But still cursor, as you will see, can be a super helpful tool in order to build a professional SaaS
application, but not 100%.
Okay, so when we see all these things in this part four, we are also going to share with you other
interesting keys like the ones we are listing here.
So you are going to see and this is going to be super interesting for all of you.
A that there is a call war for generative AI engineers worldwide.
And you are going to be you are going to be super surprised and impressed to know what is happening
out there, how companies and governments are chasing generative AI engineers around the world.
So you are, again a preparing yourselves for the most important role in the present and in the near
future.
The second thing we are going to share with you is that with generative AI, companies will get smaller,
not bigger.
So remember we told you this generative AI is having a huge impact in productivity.
The tasks that require three people a two years ago are now being done by just one people, so companies
can do more with less.
But companies need the super engineers, this generative AI engineers that are able to introduce this
level of high productivity.
Okay.
So you are going to see real examples of this.
So you will see real examples of this, real examples of this and also real examples of um generative
AI having already replaced thousands of jobs.
We will share with you what is happening today.
You will see real examples.
And I tell you, it's not only in the roles you imagine you are going to see in many roles that you
don't think about.
Generative AI is playing a huge role already.
Okay.
We are also going to see with their real examples how most jobs are changing fundamentally.
A the use cases we are going to to to study are the pioneers, the companies that are, you know, ahead
of the rest of the of the companies.
But you will see this is coming very, very fast, very, very soon.
You are going to see this in every company.
We are going to share.
Also a very interesting, uh, conclusion, which is that the adoption curve of generative AI is lower
than ever.
So some people is, is is telling.
Well, you know, generative AI is such an a new technology that in most companies is going to be hard
to introduce, you know, the resistance to change in many companies will be a problem you know will
be a barrier.
There's so many companies are so conservative, you know, and so reluctant to to try new things, etc...
Well, the case with generative AI is that right now to introduce generative AI in a company.
And I'm not just talking about big corporations, multinationals, I'm also talking about small and
mid-sized companies is easier than ever as a new technology.
The introduction of this new technology, the learning curve, the adoption curve is lower than ever
before with any other technology.
Why?
Because you already know most of you.
If you are, you know, just a enroll in the in the bootcamp for for some for some months.
You already know that generative AI is self explanatory in many cases, So it is a learning tool by
itself.
So the adoption curve is lower than ever.
You will see with real examples.
We are also going to see that generative AI is now able to use your computer.
So you will see that generative AI applications are not only applications that work with text, with
images, with video, with audio.
No, no.
They are also going to work with your computer.
The generative AI application in the immediate future is going to be able to take charge of your computer
and replace the person that is using your computer in some tasks.
So this is very, very, very recent, very, very, very new.
But we are also going to take a quick look of at it in this part.
And finally you are also going to see again in this last part that the layer of generative AI engineers
will be.
The key is being the key in this moment.
So we are going to see with real examples, how the most important group of people in these companies
experiencing experiencing the changes of generative AI is, of course, the generative AI engineer.
So all of you are going to have the main role in these transformations in your current companies and
in the new companies you will be working for.
So super interesting moment for all of you.
We have divided the contents of this blog of this part in four sections.
The first section is dedicated to see how generative AI will change SAS, uh, the SAS business model,
and we have used the SaaS business model the software as a service business model, as an example of
one industry that is being totally disrupted by generative AI and many of the changes you see in this
industry, you are going to see in other industries very, very soon.
So it's a very interesting use case for us.
So we are going to see how generative AI is changing SaaS today.
We have also included a section for you to become familiar with the SaaS business model, because a
it is important for you to understand how SaaS is changing.
A to be able to understand what do we mean when we are talking about software as a service, applications,
business models, etc. and we are also going to a stop a little bit to see the differences between a
SaaS business model and a micro SaaS business model and application.
Why?
Because we are seeing in social media that with the new generative AI advantages, some people are making
this distinction.
Oh no, we are talking about microsites or SaaS.
Oh it's different.
No.
With micro SaaS you can become millionaire in in weeks.
Well, okay, let's try to stop.
Let's stop.
Let's, let's let's see what is a SaaS business model and a SaaS application.
And what is a micro SaaS business model and an application.
And we are going to see, you know, if it is true or not.
All these promises you are seeing in some social media regarding, you know, how to become millionaires
or fast with a micro SaaS application.
No no, no.
Unfortunately, things are not so easy and a success requires hard work as always.
Okay, so the last section is going to be the practical section when we are going to share with you
all our experiments trying to build a professional SaaS application with cursor AI today.
Okay, so you are going to see the different kinds of projects we have been trying, the ones we have
accomplished to build with cursor AI and the ones that no, we have not, and we have found the limitations
of cursor AI and A, we are going to share with you what we did right, what we did wrong, and where
did we find a roadblocks or barriers or problems or limitations with cursor AI today?
And I highlight this today.
We we expect to have a improvements and significant changes in the near future here.
I think we are going to see cursor AI I and other tools every day more and more capable of building.
Advanced applications, but not today.
So stay tuned because we are going to be updating the program when we see changes there.
So finally, I wanted to give you this quick warning.
As you can imagine, these three initial sections are strategic.
They are not practical.
We are talking about what is happening, what will happen, and we are going to share with you very
important information to make you ready to take advantage of all these changes.
But if you are a, you know, this kind of engineer that doesn't have time to talk about the future
or to talk about the strategy, and you want to see the code immediately.
Okay, go to the section four in the.
In this part.
Okay.
Just jump you know a into the code in part four.
You know in this in this last section.
And just avoid this one.
In my opinion.
And in our opinion it is super important for you no matter what is your profile, tech profile, business
profile, beginner, expert.
The three initial sections in my opinion are super important for you.
Super valuable.
But I know some of you are super impatient to go to the code and don't have time to to strategy ambition.
Okay, just go there.
Okay, so we encourage you to watch the three initial sections.
But if you are impatient to jump into the code, go directly to the last section.
Okay.
So super important part four I think you are going to see a lot of value here for everybody.
You will see.