How to Get Started with the Gemini Agent for Work

Google Cloud launched the Gemini agent on October 8, 2026, at its Gemini at Work event. It is a single universal agent for work that handles questions, knowledge work, content creation, and code from one prompt box.

You give it objectives, not step-by-step instructions. It plans the work, connects to your systems, and returns finished results in the tools you already use. This guide covers what it does, where you can access it, and practical ways to start once it is available in your organization.

What the Gemini Agent Does

The agent runs in the cloud so it keeps one set of memories and context no matter which device or app you use. It can answer questions in chat, complete multi-step objectives, or generate code from the same interface.

It chooses the best model for each job. Today that includes Google’s Gemini models and Anthropic’s Claude models, with more options planned. Matching the model to the task helps control quality and cost.

Gemini arrives with knowledge of your tools, data, and work history. It improves the longer you work with it. Teams can also create shared projects that give it extra context, skills, and tools.

Where You Can Use It

Access is omnipresent. You can reach the agent from the web, iOS and Android phones, Windows and Mac desktops, the command line, Google Workspace, Microsoft 365, or Slack. It can also run headless inside third-party applications without its own interface.

Inside Google Workspace it works inline in Gmail, Drive, Docs, Slides, Sheets, Chat, and Calendar. You can @mention it or use proactive suggestions. For example, if a manager asks for a project update as a slide deck, Workspace can offer a one-click option to hand the task to Gemini.

It also supports coworker agents. You describe a role, and Gemini creates an agent with its own Workspace account, email address, calendar, and directory presence. Colleagues can add it to Chat spaces or mention it in documents. The agent acts under its own identity and only sees what the team shares with it.

Key Capabilities from the Launch

Tools connect Gemini to systems such as Confluence, Microsoft Office, Teams, Slack, Workspace, Git, Jira, Salesforce, ServiceNow, BigQuery, Databricks, Postgres, Snowflake, and desktop files. It also supports Model Context Protocol servers. An enterprise tools registry lets teams publish custom tools.

Skills are reusable sets of instructions and workflows. Gemini ships with a global library. Teams can publish custom skills to a company registry, and individuals can create personal ones. The agent selects the right skills and tools and learns from each run.

Memory has four types: session memory for the current task, semantic memory of knowledge it builds, procedural memory of how jobs get done, and episodic memory of past work. It onboards itself by learning your tools and team.

How to Get Started

The Gemini agent is currently in private preview. Broad availability is planned soon for Workspace customers on select Business and Enterprise plans. Check with your Google Cloud or Workspace administrator for access status.

1. Confirm your organization has Gemini Enterprise or the relevant Workspace plan enabled.
2. Open the Gemini Enterprise app or the prompt surface in Workspace, Slack, or the desktop client.
3. Describe an objective in plain language. Example: “Set up a meeting with the usual regional event leads next week and draft the agenda from last quarter’s notes.”
4. Review the plan the agent creates. Confirm or adjust steps before it runs.
5. Check the finished work in the target app (Docs, Sheets, Calendar, or email). Audit logs show what the agent did under its identity.

Administrators control identity, permissions, and spend. Every agent gets its own cryptographically attested identity. Traffic passes through Agent Gateway, and you can set real-time project spend caps in the Cloud Billing Console. If a cap is hit, the agent pauses until you resume it.

Practical Tips

Start with low-risk, high-frequency tasks such as drafting status updates, scheduling meetings, or summarizing threads. This lets the agent build accurate context before you assign longer work.

Use coworker agents for recurring team roles. A marketing events coordinator agent can draft readiness documents and post them back to the Chat space under its own name.

For data work, register sets in the Knowledge Catalog first. Gemini can then answer plain-language questions and generate SQL or Spark that runs in BigQuery or Managed Spark, with the option to save verified reports that do not incur further token costs.

Industry versions are in preview for financial services and legal teams. These include specialized skills, connectors, and compliance features such as matter-level permissions from NetDocuments or iManage.

Limitations and Next Steps

Because the agent is still rolling out, exact UI steps may change. Confirm current access and any required connectors with your admin. Cost controls and model routing are designed to keep spend predictable, but monitor the Billing Console during early use.

If you already use Gemini in Gmail or other Workspace apps, the new agent extends that experience with persistent cloud execution and multi-system reach. See our earlier guide on connecting apps to Gemini for related setup patterns.

Sources

• Google Cloud Blog: Welcome to Gemini at Work 2026: Introducing the Gemini agent (October 8, 2026)
• Google Keyword: Google Cloud launches Gemini agent (October 8, 2026)
• Official Google Cloud YouTube demo: Inside the Gemini Agent (October 9, 2026)