Overview of HALO Features

This page outlines the diverse features of HALO, designed to enhance your organizational efficiency and AI capabilities. HALO provides an integrated suite of tools that support comprehensive management of AI interactions, tailored to meet your specific business needs.

Key Features

For more detailed documentation on each feature, click on the corresponding link.

Profiles: HALO supports multiple profiles to cater to different organizational needs. Each profile can have its own set of AI agents, tools, knowledge sources, and styles. This feature is particularly useful if you manage multiple brands, regions, or product lines, allowing you to tailor AI interactions specific to each context.
Profile Settings: Within each profile, set parameters such as synchronization schedules, API keys, and security protocols to ensure seamless integration and optimal functionality.
Context: Context in HALO enables you to standardize and manage variables across agents and tools. You can set context variables, such as API keys or common phrases, which are then consistently applied across the system. This ensures uniformity and accuracy in agent responses while simplifying maintenance.
Analytics: Access a wide array of metrics that provide insights into agent and tool performance, user interactions, and overall system efficiency. Analytics helps you make informed decisions, driving operational enhancements and strategic optimizations.
The Assistant: This powerful feature simplifies the creation and management of agents and tools. It allows you to use natural language commands to instruct HALO, aiding in the automation of complex processes and improving workflow efficiency.
Test Center: The Test Center is your dedicated space within HALO to rigorously test the functionality and responses of your AI agents. By simulating various scenarios and user interactions, you can ensure your agents operate as intended before deployment. The Test Center provides insights and analytics on agent performance, allowing you to make data-driven adjustments and enhancements.