LLM vs Agentic AI

LLM
An LLM (like OpenAI’s GPT models) reads text and predicts what words should come next. It can:

• Answer questions
• Write emails
• Explain concepts
• Translate languages
• Help with code

But here’s the key thing:

👉 It only responds when you ask it something.
👉 It doesn’t take actions on its own.
👉 It doesn’t have goals.

ChatGPT, Claude (in basic chat mode) = LLMs in action

It’s like a very smart assistant waiting for instructions.

Agentic AI
Agentic AI is more like:
An AI that can act to achieve a goal.

Instead of just answering, it can:

• Make a plan
• Use tools (search the web, run code, access apps)
• Make decisions without you guiding each step
• Try again if something fails
• Work step-by-step toward a goal

Claude Code, ChatGPT with plugins doing multi-step tasks = Agentic AI
It behaves more like an independent worker than just a chatbot.

Most agentic AI systems actually use LLMs inside them.

Think of it like this:

LLM = the brain

Agentic system = the brain + hands + memory + ability to act