AI Agent
An AI agent is an autonomous software system that perceives its environment, reasons about what to do, and takes actions to achieve specific goals without continuous human direction.
Understanding AI Agent
Unlike simple chatbots that respond to prompts, AI agents operate with autonomy. They observe their environment through data inputs, plan a course of action using reasoning capabilities, execute tasks using available tools, and learn from outcomes. Modern AI agents combine large language models for reasoning with tool-use capabilities to interact with external systems like email, calendars, and project management tools. The key distinction is autonomy: an AI agent does not merely answer questions but actively works toward completing objectives on your behalf.
How GAIA Uses AI Agent
GAIA is built as a multi-agent system powered by LangGraph. Its core agent monitors your email, calendar, and connected tools, then dispatches specialized subagents to handle tasks like drafting replies, scheduling meetings, or executing multi-step workflows across your integrations.
Related Concepts
Agentic AI
Agentic AI describes artificial intelligence systems designed to operate autonomously, making decisions and executing multi-step tasks with minimal human oversight.
AI Orchestration
AI orchestration is the coordination of multiple AI agents, models, and tools to work together in completing complex, multi-step tasks that no single component could handle alone.
LangGraph
LangGraph is a framework for building stateful, multi-agent AI applications that supports complex workflows with cycles, branching, conditional logic, and persistent state management.
Proactive AI
Proactive AI is AI that acts before you ask: it watches for events (a new email, an upcoming meeting, a deadline), decides when something needs attention, and starts the work or alerts you on its own. Reactive AI is the opposite: it does nothing until you send a prompt or a command, and then it responds.
Agent State
Agent state is the structured data that an AI agent maintains throughout the execution of a task, tracking what has been done, what has been learned, and what steps remain — enabling multi-step reasoning without repeating work.
Cognitive Architecture
Cognitive architecture in AI is the structural framework that defines how an intelligent agent perceives its environment, processes information, stores and retrieves knowledge, makes decisions, and executes actions.
System Prompt
A system prompt is a set of instructions provided to a language model at the beginning of a session that defines its persona, constraints, tone, and behavioral guidelines before any user interaction begins.
OpenAI Dots
Dots is OpenAI's always-on agent for ongoing work. It learns your preferences and goals, keeps running proactively on its own cloud computer, and connects to 4,000+ apps through ChatGPT, Slack, and Teams.
Instinct
Instinct is an AI agent from Spear Street that handles travel bookings and everyday errands by text or call. You reach it over WhatsApp, iMessage, or email, and it works across your connected apps and devices.
Chatbot vs AI Assistant
A chatbot is software that talks with you: it answers questions in a chat window using scripted rules or a language model. The difference between a chatbot and an AI assistant is action. A chatbot replies; an AI assistant (often called a virtual or digital assistant) also does the work, such as sending the email, booking the meeting or creating the task, in the tools you already use.
AI Assistant vs AI Agent
An AI assistant is AI that helps a person on request: you ask, it answers or carries out the task, and you stay in the loop. An AI agent is AI that is given a goal and works toward it by itself, deciding which steps to take and which tools to use along the way. Most capable AI assistants today are built on agents underneath.
