Google AI Agent updates just dropped.

This isn’t some small tweak.

This is massive with Google AI Agent.

Watch the video tutorial below πŸ‘‡

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I’m Julian Goldie, CEO of Goldie Agency.

Google AI Agent is gamechanging technology.

Available right now for testing.

Going to make a lot of people money.

🎯 Understanding Google AI Agent

Google just released AI technology.

That actually uses your computer.

Google AI Agent clicks buttons for you.

Google AI Agent fills forms automatically.

Google AI Agent browses like a human.

Plus they dropped Gemini 2.5.

With computer control built in.

That beats OpenAI performance.

Google AI Agent beats Anthropic too.

The crazy part here.

You can start using this today.

No coding needed with Google AI Agent.

No tech degree required.

Just you and these AI agents.

Doing the work automatically.

πŸš€ What Makes Google AI Agent Different

Google just dropped an AI.

That can actually use your computer.

Google AI Agent clicks buttons.

Google AI Agent fills forms.

Google AI Agent browses the web.

Like a human would browse.

This isn’t ChatGPT sitting there.

Giving you answers only.

This is an AI agent.

That takes action automatically.

Google AI Agent takes real action.

It’s available right now.

In preview mode for testing.

Google just released something.

That’s going to change everything.

They dropped Gemini 2.5 Computer Use.

It’s not just another chatbot.

This AI can control your browser.

Google AI Agent can click.

Google AI Agent can type.

Google AI Agent can scroll.

Google AI Agent can navigate websites.

Just like you do manually.

Think about that for second.

An AI that doesn’t just give information.

Google AI Agent actually does work.

For you automatically.

πŸ” Google AI Agent Technical System

Here’s the crazy part.

Google released this literally one day.

One day after OpenAI’s dev day.

They’re going head-to-head.

In this AI agent war.

It’s getting intense competition.

What makes this different.

From every other AI.

You’ve heard about before.

Most AI tools just sit there.

Answer questions when asked.

You ask something.

They respond with text only.

But this new Google model.

Google AI Agent actually interacts.

With graphical user interfaces.

Google AI Agent sees your screen.

Google AI Agent understands what’s on page.

Google AI Agent takes action.

The model is called Gemini 2.5.

Gemini 2.5 Computer Use specifically.

It’s built on Gemini 2.5 Pro.

Specifically designed to interact.

With UIs in web browsers.

You can access it right now.

Through the Gemini API.

In Google AI Studio.

Or through Vertex AI.

It’s in preview mode.

Which means experimental still.

But it’s ready to test.

πŸ”§ How Google AI Agent Operates

Here’s how it actually works.

Google created computer use tool.

This is new interface in API.

You send it a goal.

Like “go to this website.”

“Fill out this form.”

Google AI Agent looks at screenshot.

Screenshot of your browser.

Google AI Agent figures out.

What action to take next.

Then Google AI Agent sends command.

“Click here” command.

“Type this” command.

“Scroll down” command.

Your browser automation tool.

Executes that command.

Then it captures new screenshot.

Sends it back to AI.

The loop continues.

Until the task is done.

It’s a feedback loop.

Prompt plus screenshot goes in.

Action comes out.

Action gets executed.

New screenshot goes back in.

Repeat continuously.

It keeps going.

Until job is finished.

Or something breaks.

πŸ“Š Google AI Agent Benchmark Results

Google claims this model.

Outperforms the competition.

They say it beats OpenAI.

Google AI Agent beats Anthropic.

On multiple web benchmarks.

Mobile control benchmarks too.

And it does it with lower latency.

That’s a big deal.

Lower latency means faster actions.

Faster actions mean more tasks.

Done in less time.

They’re using platform called Browserbase.

To benchmark these models.

Browserbase runs something called Arena.

Where you watch different AI agents.

Compete side by side.

Google is working directly.

With Browserbase to evaluate.

How well their model performs.

Compared to others.

According to their data.

Gemini 2.5 computer use winning.

πŸ› οΈ Google AI Agent Task Capabilities

Let’s talk about what this does.

What it can actually do.

The model is optimized.

For browser tasks specifically.

Not full desktop control.

So Google AI Agent really good.

At navigating websites.

Clicking through pages.

Filling forms automatically.

Gathering information.

But it’s not going to manage.

Your file system yet.

Or control entire operating system.

At least not yet.

It’s focused on web UI.

Web UI automation.

The actions it supports.

Pretty straightforward.

Google AI Agent can click.

By coordinates or DOM element.

Google AI Agent can double click.

Google AI Agent can type text.

Google AI Agent can press keys.

Google AI Agent can scroll.

Google AI Agent can drag and drop.

Developers can add custom functions.

If they need something specific.

πŸ’Ό Real Google AI Agent Applications

What can you use this for.

Here are real use cases.

Automated Form Filling

Automated form filling.

Think about how many times.

You have to log in.

Or fill registration form.

Or submit a survey.

Google AI Agent can do that.

Web Navigation Tasks

Web navigation and scraping.

If you need data from website.

That doesn’t have an API.

This can go get it.

UI Testing

UI testing capabilities.

You can use it.

To test user flows.

Click through your website.

Make sure everything works.

Task Automation

Task automation.

Go to this site.

Click this button.

Copy this text.

Send an email.

All automated.

Competitive Analysis

If you’re into competitive analysis.

You can use Browserbase Arena.

To compare how different agents.

Perform the same task.

It’s like a race.

For AI agents.

You literally watch them compete.

In real time.

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This is where magic happens.

Learn how to use tools.

Like this Gemini model.

To actually grow business.

Make more money.

⚠️ Google AI Agent Current Limitations

I’m going to be real.

This is still preview mode.

That means experimental.

It’s going to make mistakes.

Sometimes might click wrong button.

Sometimes might get stuck.

On a CAPTCHA.

Sometimes might suggest action.

That’s not safe.

Google is very clear.

Do not use for critical tasks.

Or sensitive data.

Without supervision.

You need to watch it.

The underlying tech comes from.

Project Mariner.

That’s Google’s research project.

Exploring how AI agents browse.

Browse web and interact.

This isn’t random feature.

This is result of research.

Serious research and development.

πŸš€ Starting With Google AI Agent

Here’s something interesting.

This release came one day.

After OpenAI’s Dev Day.

One day.

That’s not a coincidence.

Google is pushing hard.

To compete in agent space.

Automation space.

They don’t want left behind.

They’re making bold moves.

To stay ahead.

Let me show you.

How you can start using.

First you need access.

To Gemini API.

You can get that.

Through Google AI Studio.

Or through Vertex AI.

Then you enable.

The computer use tool.

In your generate content config.

You point it to browser environment.

That’s it.

You’re ready to go.

Google has reference implementation.

On GitHub.

It’s called Google/computer-use-preview.

You can clone that repo.

Right now.

Run it yourself.

See how it works.

Play around with it.

That’s best way to learn.

If you want to see.

In action against other models.

Go check out Browserbase Arena.

You can watch Gemini 2.5.

Computer Use compete.

Against OpenAI.

Anthropic models.

In real time.

It’s wild.

You see them all trying.

To complete same task.

You see which one faster.

More accurately.

πŸ’ͺ Google AI Agent Key Strengths

Let’s talk about strengths.

Of this model.

First, it’s more natural.

It interacts through UI.

Just like human would.

You don’t need APIs.

You don’t need structured endpoints.

It just sees screen.

Knows what to do.

Second, it’s flexible.

Can handle any website.

Even ones without APIs.

Third, uses visual context.

It’s looking at screenshots.

Understands layouts.

Sees what you see.

Fourth, it’s competitive.

The benchmarks show.

It’s performing better.

Than alternatives.

Fifth, there’s open-source code.

Reference code available.

You can dig into.

How it works.

Build on top of it.

πŸŽ“ Learning More About Google AI Agent

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And save hundreds of hours.

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Automate everything with AI.

This is where real magic happens.

Learn how to use tools.

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Inside you’ll get 50+ free AI tools.

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Proven AI case studies.

❓ Google AI Agent Frequently Asked Questions

What exactly is Google AI Agent?

Google AI Agent is an AI system using Gemini 2.5 that controls your browser. It clicks buttons, fills forms, and navigates websites automatically.

How does Google AI Agent function?

Google AI Agent takes browser screenshots, analyzes them, decides actions, and sends commands to automation tools for execution.

Does Google AI Agent beat competitors?

Yes, benchmarks show Google AI Agent outperforms OpenAI and Anthropic on web and mobile control tasks with lower latency.

Can I start using Google AI Agent today?

Yes, Google AI Agent is available in preview mode through Google AI Studio or Vertex AI for testing now.

Do I need coding skills for Google AI Agent?

No, Google AI Agent can be used without coding. Just set up access through the Gemini API.

What tasks does Google AI Agent handle?

Google AI Agent fills forms, navigates websites, clicks buttons, types text, scrolls pages, and automates browser tasks.

Is Google AI Agent safe for use?

Google AI Agent is experimental. Don’t use for critical tasks or sensitive data without supervision and monitoring.

Can Google AI Agent control my desktop?

No, Google AI Agent is currently optimized for browser tasks only, not full desktop control yet.

Where can I access Google AI Agent?

Access through Google AI Studio, Vertex AI, or check the GitHub repository for reference implementation.

How fast does Google AI Agent perform?

Google AI Agent operates with low latency, faster than competing models according to performance benchmarks.

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