# Get started with agents on ZBrain Builder

ZBrain Builder provides flexible AI agent implementation options, enabling organizations to select the approach that best aligns with their use case complexity, customization needs, and operational requirements.

### **Pre-built AI Agents** <a href="#pre-built-ai-agents" id="pre-built-ai-agents"></a>

ZBrain Builder provides a library of pre-built agents designed to address common business use cases. These agents are ready for deployment with minimal customization, offering a fast and efficient solution for businesses seeking quick implementation.

### **Custom AI Agents**  <a href="#custom-ai-agents" id="custom-ai-agents"></a>

For businesses with unique needs, ZBrain Builder empowers you to create custom AI agents. Tailor workflows, customize functionalities, and deploy specialized solutions to solve complex business challenges and drive operational efficiency.

### **Agent Crew** <a href="#agent-crew" id="agent-crew"></a>

For businesses with complex workflows, ZBrain Builder allows you to create Agent Crew—autonomous, collaborative teams of AI agents managed by a supervisor agent that coordinates subordinate agents, each of which handles a focused role (e.g., research, analysis, validation) and can utilize MCP-integrated tools or external packages. Design multi-step processes, assign specialized tasks to sub-ordinate agents, and automate end-to-end operations to streamline execution, enhance accuracy, and improve overall business productivity.

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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.zbrain.ai/zbrain-documentation/zbrain-builder/zbrain-ai-agents/get-started-with-agents-on-zbrain-builder.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.