AI/MCP Concepts

An AI agent is an autonomous or semi-autonomous software entity that can perceive inputs, reason over context, and take actions toward a goal without direct human control. Unlike traditional rule-based automation, AI agents can dynamically plan, execute, and adapt across digital environments using large language models (LLMs), APIs, and integrated tools.

An agentic workflow is an automated, goal-driven process executed by AI agents that can independently plan, make decisions, and act across multiple systems to complete complex tasks. Unlike traditional automation scripts, agentic workflows operate with adaptive reasoning, deciding how to achieve outcomes based on context and available tools.

Agentic AI refers to artificial intelligence systems that can pursue goals, make decisions, and take real-world actions with varying levels of autonomy, often operating independently, but still benefiting from human oversight or feedback when needed.