AI Agent Glossary: 30 Terms Every Business Owner Should Know
The AI industry loves jargon. You don't need to. Here's every term you'll encounter when setting up, running, or evaluating an AI agent — explained in plain English.
A
AI Agent
Software that can understand your instructions, decide what steps to take, and execute tasks using your business tools — without you clicking every button. Unlike a chatbot, an agent takes action, not just answers questions.
Your agent reads a new email, checks your calendar, and books a meeting — all without you touching anything.
API Application Programming Interface
A way for two pieces of software to talk to each other. When your agent connects to Google Calendar or Stripe, it's using their APIs to read and write data.
Your agent uses the Stripe API to send an invoice after a completed appointment.
Automation
Any task that runs on its own after you set it up. AI agents handle complex automations that traditional tools (like Zapier triggers) can't, because they can reason about what to do next.
Traditional automation: "When form is submitted, send email." AI automation: "When form is submitted, check if the lead matches our ideal customer profile, personalize the follow-up, and schedule a call during open slots."
C
Chatbot
A program that answers questions through text conversation. Chatbots respond; agents act. A chatbot tells you your next appointment. An agent reschedules it, emails the client, and updates your CRM.
Context Window
The amount of information an AI model can "see" at once when processing your request. Bigger context windows mean the agent can handle longer documents and more complex tasks without forgetting earlier details.
An agent with a large context window can read your entire client history before drafting a proposal, instead of just the last few messages.
CRM Customer Relationship Management
Software that tracks your interactions with customers and leads. Common examples: HubSpot, Salesforce, Pipedrive. Your AI agent can read from and write to your CRM to keep records updated automatically.
D
Data Encryption
Scrambling your data so only authorized systems can read it. "In transit" means while data travels between your tools. "At rest" means while it's stored. Both matter for keeping your business data safe.
E
Embedding
A way of converting text (or images) into numbers that capture meaning. This lets an AI agent understand that "cancel my subscription" and "I want to stop paying" mean the same thing, even though the words are different.
F
Fine-Tuning
Training an AI model on your specific data so it performs better for your use case. Think of it as teaching a general-purpose assistant the specifics of your industry, terminology, and preferences.
A legal firm fine-tunes a model on their contract templates so the agent drafts agreements in their house style.
G
Guardrails
Rules and limits you set on what your agent can and can't do. Good guardrails prevent your agent from taking actions you didn't intend — like sending an email to the wrong person or spending more than a set amount.
"Confirm before acting" mode is a guardrail: the agent queues actions for your approval before executing.
H
Hallucination
When an AI confidently states something that isn't true. This is why good AI agents verify information against your actual data (calendar, CRM, inbox) rather than making things up.
A hallucinating agent might tell a customer their appointment is at 3pm when it's actually at 4pm. Grounding the agent in your real calendar data prevents this.
I
Integration
Connecting two systems so they share data and actions. When your AI agent "integrates" with Slack, it means the agent can read messages from and post messages to your Slack workspace.
K
Knowledge Base
A structured collection of information your agent can reference. This could be your FAQ document, product catalog, pricing sheet, or internal wiki. The agent searches this before answering customer questions.
L
LLM Large Language Model
The AI "brain" behind your agent. LLMs (like Claude, GPT, Gemini) are trained on massive amounts of text and can understand and generate human language. Your agent uses an LLM to interpret your requests and decide what to do.
Latency
The delay between asking your agent to do something and getting a result. Lower latency means faster responses. Latency matters most for customer-facing tasks where people are waiting.
M
MCP Model Context Protocol
A standard way for AI agents to connect to your business tools (Slack, Gmail, Calendar, CRM, etc.). Think of MCP as a universal adapter — instead of building a custom connection for every tool, MCP gives your agent a standardized plug that works everywhere.
You connect Gmail via MCP, and your agent can read, draft, and send emails through your account using a secure, standardized connection.
Multi-Agent System
A setup where multiple AI agents work together, each handling a different part of a workflow. One agent might handle scheduling while another handles billing, and they coordinate to complete the full process.
N
Natural Language Processing NLP
The technology that lets AI understand human language — including slang, typos, and context. NLP is why your agent understands "reschedule tmrw's mtg to Friday" even though it's not perfect English.
No-Code
Tools and platforms that let you build automations without writing any programming code. You configure workflows through visual interfaces, dropdowns, and toggles instead of typing code.
Setting up your agent's follow-up sequence by selecting triggers and actions from a menu, not writing JavaScript.
O
OAuth
A secure way to give your agent access to your accounts without sharing your password. When you connect Gmail or Slack to your agent, the OAuth flow lets you approve specific permissions through the service's own login page.
You click "Connect Gmail," log into Google, approve read/send permissions, and your agent is connected — without ever seeing your password.
Orchestration
Coordinating multiple tools, steps, or agents to complete a complex workflow. The agent decides the order of operations, handles dependencies, and manages handoffs between steps.
P
Prompt
The instruction or question you give to an AI. The quality of the prompt directly affects the quality of the response. For agents, the "system prompt" defines the agent's personality, rules, and capabilities.
R
RAG Retrieval-Augmented Generation
A technique where the AI searches your documents or database for relevant information before generating a response. This keeps answers grounded in your actual data instead of the model's general training.
A customer asks about your return policy. Instead of guessing, the agent searches your policy document, finds the exact terms, and quotes them in the response.
Rate Limit
A cap on how many requests can be made in a given time period. APIs and AI services use rate limits to prevent overload. If your agent hits a rate limit, it has to wait before making more requests.
S
SLA Service Level Agreement
A promise about service quality — usually uptime percentage and response time. If your agent provider promises 99.9% uptime, that's an SLA. It matters because downtime means your agent isn't working for your business.
T
Token
The unit AI models use to measure text. Roughly, 1 token equals about 3/4 of a word. Pricing for AI services is often based on tokens processed. More tokens used means higher cost.
The sentence "Schedule a meeting for tomorrow at 3pm" is about 9 tokens.
Tool Use Function Calling
The ability for an AI agent to use external tools — send emails, check calendars, query databases, process payments. This is what separates an agent from a chatbot: agents don't just talk, they do things.
V
Vector Database
A specialized database that stores embeddings (numerical representations of text). It lets your agent quickly find information that's semantically similar to a query — even if the exact words don't match.
A customer asks about "changing their plan." The vector database finds relevant content about "upgrading," "downgrading," and "switching tiers" because they're semantically related.
W
Webhook
An automatic notification sent from one app to another when something happens. Instead of your agent constantly checking "did anything change?", a webhook tells the agent immediately when there's something new to act on.
When a new form submission comes in, a webhook instantly notifies your agent so it can respond within seconds instead of minutes.
Workflow
A defined sequence of steps that accomplish a business task. Your AI agent executes workflows — like "new lead comes in → qualify → schedule call → send confirmation → add to CRM." Each step can involve a different tool.
Bookmark this page. We update this glossary as new terms enter the business AI vocabulary. If you encounter a term that isn't here, let us know and we'll add it.
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