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.

• Test the agent: Conduct testing with sample tasks, review logs, and refine configurations to ensure optimal performance.

• Deploy the agent: Deploy the agent after successful testing and monitor its ongoing performance and activity logs from the Queue Page.

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.