Google Gemini Agent Explained: What Can Google's New AI Agent Actually Do?

Google Gemini Agent Explained: What Can Google's New AI Agent Actually Do?

Google has introduced a new AI tool called the Gemini agent, which is different from the Gemini chatbot many people already use. Both are part of Google’s AI ecosystem, but the Gemini agent is designed to do more than answer questions. It can plan tasks, use connected tools, and work toward completing tasks with less guidance from the user. This article covers what the Gemini agent is, how it works, and how it can help with content, coding, and Google apps. It also explains who can access it right now. The details are based mainly on Google’s official announcement. Since independent hands-on reviews are not yet available, the article makes it clear which features are based on Google’s claims and which have been independently verified.

The short answer

It's designed primarily for workplace use. Google says the Gemini agent is available through the Gemini Enterprise app, Google Workspace and supported third-party services. However, it is still in private preview, so access is limited. Availability through these platforms does not mean every customer can use it yet.

What is the Gemini agent?

How it handles tasks

It plans, then uses tools

You describe the outcome you want. The agent figures out the steps, picks the tools it needs and does the work.

Google's own example is scheduling. You can ask it to set up a meeting with "the usual team of regional event leads" without giving a single name or email address. It works out who they are from your chat space and your last event's thread, checks their calendars, and starts an email thread to find a time. That even works with external guests.

It can run for hours or days

This is a big difference from a chat window. The agent runs in the cloud, so work that takes hours or days keeps going after you close your laptop. You don't have to keep a tab open or remember which device you started on.

Sub-agents and coworker agents

For bigger jobs, the agent can split the work up. It can create temporary, job-specific sub-agents, each with its own identity, and coordinate them in parallel or in sequence.

A "coworker agent" is a different idea. It's a long-term helper with a set role. Coworker agents get their own email address, their own storage, and only see the information you or your team give them. In Workspace, the agent gets its own account with an email address, calendar and Drive, and shows up in the company directory. Your team can add it to a Chat space or @mention it like a person.

Memory

Google says the agent keeps four kinds of memory:

• Session memory for the task in front of it, even across days
• Semantic memory, a knowledge base it builds as it reads documents and talks to people
• Procedural memory, which covers how a job gets done, including skills it writes for itself
• Episodic memory of what it has done before

Google says the agent uses information from previous interactions to improve continuity across tasks. However, how accurately its memory works in real workplace situations remains to be established through independent testing and wider use. Its practical performance may vary with the available context, connected data and task complexity.

It can switch models

The agent isn't tied to one AI model. It runs each job on the model that fits best. Today that means Google's Gemini models and Anthropic's Claude models, with other private and open models planned. Google's reasoning is cost and accuracy. Simple jobs go to cheaper models, and harder ones go to stronger models.

Content: what it can create

Google says the agent can create "images and media" along with the usual written work. In practice, the examples Google gives are mostly office documents.

• Slide decks. If your manager emails asking for a project update as a deck, Workspace can offer a one-click option to pass that job to Gemini.
• Research and reports. Google describes it researching market trends, building a financial model in Sheets, and then making a deck that presents both, without you re-explaining the project at each step.
• Team documents. A marketing manager could ask an events coordinator agent to draft a launch readiness document, and the agent posts it back to the group when it's done.

For images and video, Google's announcement says little beyond that "images and media" line. I didn't find examples of what the media quality looks like, so I won't guess.

Coding help

Writing and running code is one of the four main jobs Google lists. The clearest examples are about data work.

For data and machine learning engineers, Google says they can describe the outcome in plain language. Gemini then generates PySpark code, provides notebooks to edit and test it, trains models, and troubleshoots and fixes pipeline issues on its own.

One more point matters for safety. When the agent runs code, it does so inside a sandbox with its own network boundary. Its identity is stamped onto any virtual machine it starts. So the code it runs is separated from the rest of the company's systems.

This isn't aimed at hobby programmers who want a coding buddy in an editor. It's built for company data, company tools and company rules. If you only want help writing a script, this isn't the product Google is pitching.

Working with Gmail, Docs, Sheets and other apps

Google describes three ways it works in Workspace:

1. Personal help. It already knows your calendar, team and projects, so you don't have to explain the background each time.
2. Proactive suggestions. It spots tasks you could hand off, like that slide deck request. Google also says it can pick out the most important message in your inbox instead of just the newest, and explain why.
3. Team member. A coworker agent can take part in documents too. If you tag it in a document comment, it can suggest an edit and reply in the thread. It appears under its own name in version history.

That last detail is useful for trust. You can see what the agent changed, and it isn't hidden behind your own name. A coworker agent acts under its own identity, not yours.

It isn't limited to Google's own tools. You can reach it from Google Workspace, Microsoft 365 and Slack, as well as third-party apps.

Security and cost controls

An agent that works on its own and touches company files needs limits. Google says it has built several in.

• Identity. Each agent has its own identity and least-privilege permissions, governed like an employee's.
• Audit trail. Every action is logged and tied to the agent, not to a person.
• Policy rules. Traffic in, out and between agents passes through an "Agent Gateway," a network firewall that enforces company policy. An example rule: agents may not open documents classified Need to Know.
• Spend caps. Admins can set a hard limit on a project's AI spend. If it's hit, that project's agent pauses until someone resumes it.

These controls are part of Google's published security design. They describe the protections Google says it provides, but they do not establish that every deployment will be secure. Independent testing and practical experience will help show how effectively these controls work in real-world environments.

Availability: who can use it now?

This is where expectations need a reset.

• Right now: It's in private preview.
• Wider release: Google says wider availability is planned for eligible Google Workspace customers on select Business and Enterprise plans. It has not confirmed an exact general availability date in the announcement cited here. Check Google's official updates for the latest release information.
• Industry versions: Versions for Financial Services and Legal are in preview. Government, Healthcare and Retail are coming soon.
• Price: I couldn't find pricing in Google's announcement. It also isn't clear which exact plans will include it. Check Google's pricing pages when general availability opens.
• Countries: I didn't find a country-by-country list. Readers in the US, Canada and Australia should check with their Google Workspace admin or Google rep.

As a normal consumer, you probably can't use it yet. Its home is the workplace.

Limitations to keep in mind

It's an announcement, not a proven track record. Some of the strongest results come from customer examples highlighted by Google. For example, Google says Bradesco cut document review time from one hour to five minutes. That's Google's reported customer result, not an independent test.

Autonomy needs checking. An agent that works for days can also make a mistake for days. Google's own financial-services version shows confidence scores, methods and source citations, so people can check the work. That's a hint that human review still matters.

Setup takes effort. The agent gets its power from connections to your tools and data. Admins have to approve access and write policies. A small team without IT help may find that harder than the demos suggest.

The name can mislead. "Gemini agent" runs on Gemini and Claude models today. Google also has Gemini Spark and the regular Gemini app. Check which product a feature belongs to before you plan around it.

Unknowns remain. Pricing, final plan eligibility and detailed limits aren't confirmed. I'd treat anything beyond Google's own statements as unconfirmed.

Who should pay attention?

Final takeaway

The Gemini agent is Google's attempt to move from "ask a chatbot" to "hand off a job." It plans tasks, runs for days, writes code, builds documents and works inside Gmail, Docs and Sheets. Its own identity, audit logs and sandbox are meant to keep it in check.

For now, it's a preview product with big claims and no public price. Wait for hands-on reviews and real availability details before you build a plan around it.

Sources

• Welcome to Gemini at Work 2026: Introducing the Gemini agent — Google Cloud Blog
• Google Cloud announces ‘Gemini agent’ as ‘universal agent for work’ — 9to5Google
• Google Cloud introduces the Gemini agent — Google Blog
• Gemini Spark — Google Gemini

Written by Mr. Tarsem Singh

Founder & Editor, Beinfora

This article was researched and written by Mr. Tarsem Singh to provide clear, useful technology information for readers