ZBrain Documentation
  • ZBrain Documentation
    • Components of ZBrain
    • Getting started with ZBrain
    • 📚Knowledge base
      • How to create a knowledge base?
      • Knowledge source
      • Information schema
      • File summary
      • Automated reasoning
      • Retrieval testing
      • Knowledge base settings
    • 📱APP
      • How to create a new app?
      • How to set up and customize your app?
      • How to access the app reporting dashboard?
    • 🤖ZBrain AI agents
      • Get started with agents on ZBrain
      • Deploying pre-built agents
      • Creating custom AI agents
        • Agent setup
        • Define input sources
        • Define Flow
          • Key elements of a Flow
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          • How to Define a Flow?
          • How to Test Each Step in the Flow?
        • Configure Additional Settings
        • Test and Deploy Agents
        • How to access, monitor, and manage agent performance and tasks?
    • Settings
    • 📖API Tutorials
      • 📚Knowledge base
        • Automated Reasoning
      • 📱APP
      • 🤖Agents
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  2. ZBrain AI agents

Creating custom AI agents

ZBrain enables the creation of custom AI agents that solve your unique operational challenges and streamline business workflows. High customizability enables you to tailor every aspect of the agent's architecture and functionality, from specifying input data sources to designing intricate logic workflows and defining output destinations, allowing full visibility and control over their operations. The agents seamlessly integrate with existing systems, data architectures, and workflows, ensuring compatibility and efficient implementation.

This guide provides a step-by-step walkthrough for building custom agents, ensuring an efficient and smooth setup process. Follow the steps below to create and deploy your custom agent successfully:

  • Agent setup: Initiate the agent creation process by assigning a clear name and description to define its purpose.

  • Define input sources: Set up task queues, add input sources, and configure triggers to retrieve the necessary data efficiently.

  • Define Flows: Design and customize the sequence of actions and logic for the agent’s operations to meet your workflow requirements.

  • Configure additional settings: Specify output destinations, enable notifications for other agents, and add instructions to enhance the agent's functionality and performance.

  • Deploy the Agent: Deploy the agent, monitor its performance, and review uploaded documents and activity logs from the Agent Dashboard. You can also upload files for processing as needed and seamlessly integrate the agent into your product or system via API.

Learn More

You can find in-depth instructions for each step in the following sections of this documentation, guiding you to ensure a comprehensive understanding of the process for effective implementation.

PreviousDeploying pre-built agentsNextAgent setup

Last updated 7 days ago

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