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

# Terminology

> Terminology - AI Hive Documentation

# Terminology in AIHive Studio

To use AIHive proficiently, you need to master the following basic concepts that appear in the administration interface (Studio).

## Main Objects

### Agent (AI Assistant)

An independent bot entity configured to perform a specific role.

* **Example:** You can create an Agent named "Sales Staff" specialized in closing orders, and another Agent named "Customer Service" specialized in handling complaints.
* Each Agent has its own **Prompt** and **Knowledge**.

### Chat Flow (Conversation Flow)

A fixed tree-structured (Decision Tree) conversation script.

* Used when you want customers to follow a mandatory process.
* **Example:** Warranty information collection script: Ask for name → Ask for phone number → Ask about the issue.

### Workflow (Work Process)

A chain of data processing actions running in the background (Backend).

* **Example:** When a customer confirms an order → Workflow will run: "Get customer information" → "Call KiotViet API to create order" → "Send confirmation message".

### Knowledge

The data repository you feed to the Bot for learning.

* Data can be: Document files (PDF, Word), Website URLs, or manually entered text (Q\&A).
* This is the key factor determining the intelligence of an Agent.

### Prompt (Instruction Command)

A description of the role and tasks for the AI.

* **Example:** "You are a consultant for XFashion clothing store. Cheerful tone, use many icons. Only answer questions related to fashion..."