What Is Agentic AI? Beginner’s Guide
The simplest way to understand AI agents, agentic systems, RAG, skills and workflows
TL;DR
- Agentic AI focuses on achieving a goal rather than just answering questions.
- Agents autonomously select tools, perform actions, and check results to complete tasks.
- A good agent typically handles one job with approved tools and clear limits.
- The key difference between regular AI and agentic AI is action and autonomy.
- Agentic systems require surrounding machinery like instructions, tools, memory, and guardrails to function reliably.
- The agentic loop involves: Goal → Observe → Decide → Act → Check → Repeat or stop.
- Agentic systems are distinct from workflows, which follow pre-mapped steps.
- Building agentic systems requires reliable machinery for retrieval, memory, permissions, retries, monitoring, and human approval.