Agentic AI13
CoreAI that plans, acts, and uses tools autonomously - moving beyond question-and-answer into doing.
Agent Orchestration
The system that coordinates multiple AI agents - deciding which agent handles which task, managing their communication, and ensuring the overall workflow stays on track.
Agent State Management
The system that tracks everything an AI agent knows and has done so far during a task - the equivalent of working memory and a to-do list for a multi-step AI system.
Agentic AI
AI that can take sequences of actions on its own to complete a goal - planning, using tools, checking its own work, and iterating without needing a human to guide every step.
All concepts
C
Confidence Scoring
A mechanism that estimates how certain an AI model is about its output - helping systems decide when to act autonomously and when to ask for human verification.
Contextual Awareness
An AI agent's ability to understand and track the full situational context of a task - remembering what has been done, what the current state is, and what constraints apply.
M
MCP (Model Context Protocol)
An open standard that lets AI models connect to external tools and data sources in a consistent way - like a universal plug that makes any AI work with any tool.
Multi-Agent System (MAS)
A network of individual AI agents that each handle part of a task and coordinate to accomplish goals that would be too complex or slow for a single agent.
R
Reasoning Engine
The component of an AI agent that decides what to do next - taking in the current situation, the goal, and available tools, and producing a plan or next action.
Reflex Agent
The simplest type of AI agent - one that maps directly from the current observation to an action, without any planning or memory of past states.