> ## Documentation Index
> Fetch the complete documentation index at: https://docs.gloo.com/llms.txt
> Use this file to discover all available pages before exploring further.

# AI Assistants

> Guardrailed, role-aware, retrieval-augmented chatbots for ministries & nonprofits.

Gloo AI Assistants are role-specific, retrieval-augmented chatbots that serve as intelligent, context-aware copilots for ministry and nonprofit environments. Initially built on public or partner-approved datasets, our assistants are designed for trust and real-world utility.

## Core Features

Our assistants are built with a focus on safety, relevance, and transparency to ensure they meet the unique needs of your organization.

<CardGroup>
  <Card title="RAG-Based Responses" icon="book-open-cover">
    Leverages retrieval-augmented generation to provide answers that are traceable to underlying data and source documents.
  </Card>

  <Card title="Domain-Specific Customization" icon="screwdriver-wrench">
    Each assistant is tailored for specific ministry roles, ensuring that responses are contextually relevant.
  </Card>

  <Card title="Guardrails for Trust" icon="shield-check">
    Built with robust safety and provenance layers to ensure outputs are transparent, explainable, and aligned with ethical guidelines.
  </Card>

  <Card title="Scalable Architecture" icon="network-wired">
    Our roadmap includes migration to Gloo-hosted internal model infrastructure for improved performance and customization.
  </Card>
</CardGroup>

## Developer Benefits

Assistants are designed to be easily managed and integrated into your existing workflows and custom applications.

* **Integrated Management:** Assistants can be managed directly through the Studio interface, enabling prompt versioning, configuration, and monitoring.

* **Custom Workflows:** Easily integrate assistants into custom applications or workflows with clear APIs and comprehensive documentation.

* **Feedback Loops:** Built-in mechanisms allow end-users to provide structured feedback that continuously improves assistant performance over time.