AI terms, A to Z.
AI agent
An AI system that works toward a goal on its own by reading information, deciding what to do and taking actions with tools like email, a CRM or a calendar.
AI assistant
An AI you talk to in plain language to get help with tasks such as writing, research, scheduling and answering questions.
AI automation
Using AI inside automated workflows so they can handle unstructured inputs like emails, documents and free-text forms.
API
A way for two pieces of software to talk to each other. Most AI integrations connect to your tools through APIs.
Chatbot
Software that holds a conversation and answers questions, usually from a set of documents or FAQs.
Context window
How much information an AI model can consider at once, such as a long document plus your instructions.
Copilot
An AI assistant built into a specific app to help you while you work in it.
Embedding
A numeric representation of text that lets software find information by meaning rather than exact keywords.
Fine-tuning
Further training an AI model on examples so it performs better at a specific task or style.
Generative AI
AI that creates new content such as text, images, audio or code.
Guardrails
Rules and checks that keep an AI system within safe, approved behavior.
Hallucination
When an AI states something that sounds confident but is wrong or made up.
Human in the loop
A design where a person reviews or approves certain AI actions before they happen.
Integration
A connection between an AI system and another tool, such as your email, CRM or accounting software.
Large language model (LLM)
The type of AI model behind assistants like ChatGPT, Claude and Gemini, trained on large amounts of text to understand and generate language.
MCP (Model Context Protocol)
An open standard that lets AI assistants connect to tools and data sources in a consistent way.
Prompt
The instructions or question you give an AI model.
Prompt engineering
The practice of writing prompts that reliably get high-quality results from AI.
RAG (retrieval-augmented generation)
A technique where the AI looks up relevant information from your own documents before answering, so answers are grounded in your data.
Structured data
Information organized in a consistent format, like a spreadsheet or database, as opposed to emails or PDFs.
Token
A small chunk of text that AI models read and write. Usage and limits are often measured in tokens.
Workflow
A repeatable series of steps that turns an input, like a new lead, into an outcome, like a booked meeting.
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