Agentic AI
TL;DR
AI systems that pursue goals, plan sub-steps, and use tools to complete them.
What does this mean?
Agentic AI describes systems that don’t just respond to a single input, but actively pursue a multi-step workflow. They plan intermediate steps, gather information, use tools, and evaluate results.
How it works
A goal is broken into sub-tasks. The system decides what information is missing, which tools to use, and whether a result is sufficiently reliable or whether a human should intervene.
Example
Instead of just drafting an email, agentic AI researches the context, creates a draft, updates the CRM, and plans the next step.
Why it matters
The term helps distinguish between a simple chatbot and a productive AI agent with real process logic.
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