> For the complete documentation index, see [llms.txt](https://docs.agentsupply.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.agentsupply.ai/start-here/glossary.md).

# Glossary

### **Glossary**  

 

**AI Agent** 

A digital AI-powered assistant that performs tasks like lead qualification, customer support, onboarding, internal coordination, and more — without human intervention. These agents follow instructions, understand context, and integrate with tools to execute processes intelligently and automatically. 

 

**AI Model** 

Refers to the specific AI engine powering the agent (e.g., GPT-3.5, GPT-4 Turbo, GPT-4). Different models offer different capabilities, processing speeds, and costs. 

 

**Wallet** 

The wallet associated with your account, used to cover usage-based activities such as message generation, additional storage, or extra agents. Each AI message or action consumes a small credit from your wallet balance. 

 

**Dashboard** 

The visual interface where you configure, train, and manage your AI agents. This is where you edit prompts, connect integrations, adjust behavior, upload knowledge, and monitor performance. 

 

**Base System Prompt** 

The core set of instructions that define how your AI agent behaves. It includes tone, personality, boundaries, and how the agent should respond in specific contexts. 

 

 

**Characters (Storage)** 

Storage is measured in characters — every word or sentence you upload into your agent’s knowledge base counts toward your storage capacity. 

 

**Citations / Sources** 

When enabled, your AI agent can show which part of your uploaded content or documentation it used to answer a query. This helps with accuracy, transparency, and trust. 

 

**Conversational AI** 

The underlying intelligence that allows AI agents to interpret user intent, maintain context, and generate intelligent, human-like responses while handling actions in real time. 

 

**Cost per AI Message** 

Each AI-generated response consumes a small credit based on the model used. The more advanced the model, the higher the cost per message. 

 

**Custom Styling** 

Allows you to visually personalize your AI agent interface — including colors, fonts, and button styles — to match your brand identity. 

 

**Default Prompts** 

Preset templates or instructions that are applied by default when creating new AI agents. You can adjust or override them as needed. 

 

**Embed** 

Allows you to place your AI agent on your website or platform using a simple embed code. The agent can be launched as a widget, iframe, or custom module. 

 

**Knowledge Base** 

Your company’s content repository — such as PDFs, help docs, FAQs, websites — that is used to train and enrich your AI agent. The more relevant the data, the better the agent performs. 

 

**Markdown** 

A formatting language used when writing prompts or system instructions. Helps structure instructions using bold text, lists, or links in a clean and readable way. 

 

**Temperature** 

Controls how creative or conservative your AI agent’s responses are. Lower temperature = more precise, factual. Higher temperature = more creative, exploratory. 

 

**User** 

A person interacting with your AI agent — whether a customer, lead, employee, or visitor — depending on where and how your agent is deployed.