— Concepts
Agentic AI
AI systems that plan, decide, and act on multi-step goals with minimal human oversight.
Also known as: AI agents · Autonomous AI · Agentic systems
What is Agentic AI?
Agentic AI describes LLM-powered systems that go beyond single-turn chat — they plan a sequence of steps, call tools, observe results, and adapt. Unlike a one-shot prompt, an agent runs until a goal is met or a stop condition fires. Examples: a research agent that browses, summarises, and emails a brief; a sales agent that enriches leads and drafts follow-ups; a coding agent that opens a PR end-to-end. Agentic AI is the active frontier in 2026, and ONROL's AI Orchestrator track is built around shipping production agents.
— Related
Terms connected to Agentic AI
Concepts
AI Agent
An AI system that decides its own next action and takes multi-step actions autonomously.
Open →Concepts
AI Orchestration
Coordinating multiple AI calls, tools, and decisions into a single workflow.
Open →Concepts
Tool Use
An AI's ability to call external tools (APIs, code, search) instead of just generating text.
Open →Concepts
MCP (Model Context Protocol)
Anthropic's open standard for connecting AI assistants to external tools and data.
Open →Concepts
Function Calling
An LLM feature that lets the model invoke your code/APIs in a structured way.
Open →From definitions to deployed projects.
Knowing what a term means is step one. ONROL's AI Generalist track gets you shipping projects that use it.