Google has significantly upgraded its free AI Studio platform, enhancing its capabilities for building AI-first applications and agents with advanced features like improved video generation, better data ingestion, and integrated coding assistance.
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Google, as we all know, has been on an
incredible run. And to kickstart this
new year, they've actually introduced
some major upgrades that a lot of people
don't actually know about to their agent
platform. Turning AI Studio into
something far more powerful. From
extended input support in the Gemini API
to enhance AI vibe coding capabilities
to the introduction of VO3.1 directly
inside the studio and a lot more. So,
with that thought, let's dive straight
to it. But for those who do not know
what Google AI Studio is, this is a
remarkable tool by Google that is
completely free to access. It's Google's
promptu product platform that lets you
vibe code full AI first apps using
natural language with AI features like
image generation, video understanding,
search grounding, and editing built
inside by default. On top of that, you
get access to state-of-the-art models
like Gemini 3 Pro completely for free.
And what's especially powerful is that
the AI studio isn't just for app
building. It could be used to work as an
agent builder where you let your
automation workflows being built within
the studio and have tasks being
automated directly from the build mode.
Now to start off, the latest upgrade is
one of the biggest highlights which is
the introduction of VO3.1 within the
studio. This is now available inside
both the Gemini API and Google AI
Studio, which gives anyone far more
creative control and productionready
video quality directly within the actual
studio. With this, you have enhanced
ingredients to video. The updated model
intelligently combines your inputs while
preserving character identity and
background details when you're working
within the studio. And this will enable
characters and environments to stay
consistent across your video generation.
You also have native vertical video
generation where you can also generate
social ready 9x6 ratio videos directly
within portrait mode. This is built for
mobile first use cases and you can
produce faster results with better
framing since it generates full-frame
vertical videos instead of cropping from
landscape. And finally, you also have
higher resolution output with VO3.1. It
delivers cleaner, sharper 1080p videos,
and it can even generate full 4K videos,
which is going to give you
professionalgrade results straight
inside your workflow. All these
capabilities are fully free for you to
actually access directly within the
studio. And you can even access it
through the Gemini API and Vertex AI for
enterprise use. Just take a look at this
demo app which was built directly within
the AI studio. This is a typemotion demo
that transforms the text phrases into
cinematic motion typography using
two-step generative workflows. And you
can see the quality of content that it's
capable of generating, which also has
Now, isn't that amazing? You can enter
in your content, choose a text style,
and you can provide a reference image,
and then the app is able to call the
Gemini 3 Pro image model and the V3.1
model together to reimagine your prompt
so that it is fully styled, and it is
able to create this animated scene,
which you see. It's a great example of
having powerful prompted production that
can be inside within your studio, and it
can basically create more versatile
applications for you. Before we get
started, I just want to mention that you
should definitely go ahead and subscribe
to the world of AI newsletter. I'm
constantly posting different newsletters
on a weekly basis. So, this is where you
can easily get up-to-date knowledge
about what is happening in the AI space.
So, definitely go ahead and subscribe as
this is completely for free. With the
new latest API improvements, you now
have the ability to take something like
for example a Python script and generate
it directly from Google AI Studio. From
there, you can drag it and drop it into
a framework like LOD code or agent zero,
which is what you're seeing on the
screen, and immediately turn it into a
working automation. This is where you
can create these AI agents to
practically do anything with the new
Gemini API. In this demo, agent zero
spins up the task, generates an image
using the API, and even notifies me when
the process is actually running with no
manual wiring, no waiting for native
integration. And what's powerful here is
the mindset shift. Instead of waiting
for tools to ship features, you can just
build it yourself using these modern AI
APIs to agent frameworks like cloud
code. You have Gemini CLI that can help
you with that and even something like
agent zero. Next is where Google has
made data ingestion with the Gemini API
more production ready. And it is
definitely a gamecher because this is
going to enable anyone to pass files
directly from Google Cloud Storage or
any public or signed HTTPS URL. Meaning
no more re-uploading data just to see it
with Gemini. You can use this and have
it work across providers too where you
can include signed URLs from AWS S3 as
well as the Zur blob storage and on top
of that you even have inline file size
limits which is where it has been
increased to 20 MB to 100 MB which is
actually remarkable in this case and
it's going to make it easier to handle
larger images, audio as well as
documents during prompting and prototyping.
prototyping.
And if you do not know by now, you have
the ability to use the Gemini 3 flash
within the studio as well as the build
mode. So you have the ability to select
these amazing powerful models directly
within these two different areas. This
is definitely a subtle but a really
great quality of life feature that
Google AI Studio has shipped, which is
the upgraded dashboard usage tab. This
is where you can easily track API
request success rates as well as Gemini
embedding model usage. You can zoom into
specific days for detailed analysis and
explore everything through a cleaner
redesigned graph layout. It is an update
that's going to make it easier for you
to monitor your performance as well as
debugging issues and understanding how
your Gemini APIs are actually being used
over time. You can easily access it by
heading over to the main dashboard. And
once you click here, you want to click
on usage and billing. And you can
actually take a look at the overview of
API usage for different projects, the
rate limits for it, and the billing,
which you can monitor over here.
Something interesting to highlight is
that Google's product lead Logan had
also dropped some interesting hints
today on X, where he called AI Studio
the best place to get started and
confirmed that there is going to be a
GitHub import feature, which is already
currently working internally and with
plans to actually ship it publicly once
it's polished. Someone had also asked
about the Gemini 3 going generally
available. This is essentially the
upgraded version from the preview phase
and it is something that is more
enhanced than the current version of
what we're seeing. And he had stated
that it is coming soon by saying that
CPUs are humming. And on the bigger
question of full app readiness, it is
where the Google AI studio will soon
also include back-end support with
authentication, Stripe integration and
deployment. This is essentially a full
stack development tool that Google is
building completely for free for anyone
to actually access which is just
incredible and Logan had confirmed that
many teams inside Google already testing
some of these things and the experience
is truly remarkable and for those who
haven't actually used the Google AI
studio it is a remarkable tool that you
truly need to get started with. What you
will first get started with is the main
dashboard of the Google AI studio but
you have two options. You can use the
playground to access many of the other
Gemini features like the Gemini uh
agents. You can use the live feature or
you can use the native audio and flash
to directly interact with the studio as
well as the models using the image
models like nano banana and then video
with video 3.1 and even audio models.
But if you are to work on creating
different sorts of apps, you can use the
full stack development vibe coding tool
which is the build agent. And this is
essentially where you can prompt in
anything to build any sort of app that
you describe. For example, based off of
this prompt, I'm going to be able to
build a finance app and just take a look
at the quality of what it's able to
output. You also have the ability to
attach files and you can even basically
transcribe what you're saying from voice
into textual prompts. And you can simply
go ahead and build whatever you had
requested based off of the prompt that
was sent in to the build agent. And what
you can also do is actually visualize
the code being written which is going to
give you a preview of whatever it is
working on. Right now it is planning I
believe. And once it finalizes the
implementation you can then see the code
being visualized which you see right here.
And after a couple seconds you have a
beautiful finance app that it generated
based off of the prompt that you
provided which even has Gemini features
integrated. You can even have an AI
feature directly within your app which
is going to be able to give you insights
in this particular case. So this is the
type of quality that you can get from
the build mode which is just remarkable
guys. You can visualize it in different
devices. You can download the app. You
can even upload this straight to GitHub.
There's so much that you can do with the
build mode which is why I highly
recommend that you take a look at our
previous videos on how you can truly use
this even further. If you like this
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plus a lot more. But that is basically
it guys for today's video on the Google
AI studio and the new agent mode that
has been upgraded. I'll leave all these
links in the description below so that
you can easily get started. But with
that thought guys, thank you guys so
much for watching. Subscribe to the
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spread positivity, and I'll see you guys
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