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How to Get Started with the Gemini Agent on Google Cloud

Step-by-step guide to access and use the Gemini agent on Google Cloud for enterprise tasks, from the October 2026 launch.

October 11, 2026 Yum News

Google Cloud announced the Gemini agent on October 8, 2026, at Gemini at Work. It is a single universal agent that handles questions, knowledge work, content creation, and code from one prompt box. Organizations already using Gemini Enterprise can start assigning objectives and receiving finished work.

This guide covers what the agent does, who can access it, and the practical steps to begin using it for daily tasks.

What the Gemini Agent Does

The agent plans multi-step work, selects the right model, connects to your existing systems, and returns results inside the tools you already use. You give it an objective instead of step-by-step instructions. It keeps memory and context across sessions, devices, and channels.

Google describes it as able to function as a personal assistant or as a team member with a defined role. It can create temporary sub-agents for complex jobs or act as a persistent coworker agent with its own identity.

Team collaborating in a modern office

It works across web, mobile, desktop, command line, Google Workspace, Microsoft 365, and Slack. The same memory and skills follow you no matter which surface you open.

Core Capabilities Confirmed by Google

Unified interface: Chat, autonomous task completion, and code generation from one place.
Persistent cloud execution: Work continues after you close your laptop. Context stays consistent.
Tools and skills registry: Connects to Confluence, Microsoft Office, Teams, Slack, Workspace, Git, Jira, Salesforce, ServiceNow, BigQuery, and any MCP server. Teams publish custom skills.
Model flexibility: Routes jobs across Gemini models and Claude models today, with more options planned. Matches model size to task difficulty.
Enterprise controls: Identity, authorization, secure sandboxing, network gateways, and spend caps.

Early customers such as Orange Spain have deployed more than 1,000 custom agents. Bradesco reduced document review from one hour to five minutes on certain workflows.

How to Access the Gemini Agent

Access depends on your Google Cloud and Gemini Enterprise setup.

Confirm your organization has Gemini Enterprise. Nearly 90 percent of the Fortune 100 already use it according to Google Cloud.
Open the Gemini Enterprise web app or the relevant Workspace surface (Gmail, Docs, Sheets, Chat, Calendar).
Look for the agent prompt box. You can assign objectives directly.
For developer-built agents, use Gemini Enterprise Agent Platform (the evolution of Vertex AI).

Business users typically start inside the Gemini Enterprise app or inline in Workspace. Developers use Agent Platform, Agents CLI, and the Agent Development Kit (ADK).

For related agent patterns, see our guide on delegating work with Gemini cloud agents.

Step-by-Step for Developers

1. Enable the platform

Create or select a Google Cloud project. Enable the Agent Platform API. Set up Application Default Credentials with the gcloud CLI or the official setup script.

2. Install Agents CLI

Install uv, then run:

uvx google-agents-cli setup

This adds skills so your coding assistant (Antigravity, Claude Code, Codex, or Gemini CLI) can scaffold, evaluate, and deploy agents.

3. Scaffold and test an agent

Describe the agent you need. The CLI and your coding tool generate the project structure. Test locally before deployment. Deploy to Agent Runtime, Cloud Run, or other supported targets.

Data center servers powering cloud services

4. Connect tools and skills

Register enterprise tools and publish custom skills so the agent can reach your data and follow company workflows. Use the tools registry and skills registry.

Tips for Effective Use

Start with clear objectives rather than long prompts. The agent is designed to plan the steps itself.

Use skills for repeated multi-step processes. A skill stores instructions so the agent does not relearn the same workflow every time.

Monitor spend with the built-in cost controls and Smart Routing. Route simple tasks to smaller models.

Keep human confirmation points for high-stakes actions. Google emphasizes that you remain in control.

Test on a small set of real tasks before scaling. Measure time saved and accuracy on your own data.

What to Expect Next

The agent is rolling out with enterprise governance features already in place. Additional industry specializations for financial services and legal teams were highlighted in the launch. Inline Workspace behavior continues to expand so the same agent appears inside documents and chat threads.

Conclusion

The Gemini agent turns a prompt window into the starting point for finished work. Organizations with Gemini Enterprise can begin assigning objectives today. Developers can scaffold custom agents through Agent Platform and the Agents CLI. Confirm your access level, connect the systems you already use, and start with one clear objective.