Artificial Intelligence (AI)

Technology that lets computers recognize, generate, judge, and act on information; the result still depends on software, data, tools, and human review.

AI Application

The website, desktop app, or software surface where a person uses a model with a specific interface, context, files, and tools.

Model

A trained system of parameters that processes input and produces an output; usually called by an application.

Agent

An AI system that works toward a goal, observes results, and decides what to do next, often with tools and a runtime environment.

Prompt

The task instructions given to an AI system, including the goal, background, constraints, and requested output.

Context

The information available to the model for the current task, such as instructions, conversation, retrieved material, and tool results.

Memory

Information an application stores and may provide again in later interactions.

Token

A unit of text or data used by a model for processing and measurement; not equivalent to one Chinese character or one English word.

Tool

A specific capability an AI system can invoke, such as searching, reading a file, calculating, generating a file, or changing an external system.

Skill

A reusable package of instructions, rules, and supporting material for a class of tasks, used by systems that support skills.

Model Context Protocol (MCP)

An open protocol that lets AI applications connect to external tools, resources, and services through a shared communication model.

Workflow

A task organized into ordered steps, with possible branches, repetition, checks, and stopping conditions.

Permission

The scope of data and actions that an application, service, account, or environment allows.

Hallucination

Content that appears plausible but is false, unsupported, or lacks reliable evidence.