Everything You Need to Know about AI Agents

Chatbots answer questions.

AI agents get things done.

Image generated by Imagen 3. Prompt: generate an image—chatbot vs. AI agent

Earlier in the week, I shared an Agentic JIRA POC and joked about how it would automate the rest of my JIRA stories.

Let’s take a step back for a second…

What are AI agents, and why do they matter?


AI agents take actions by combining LLMs with deterministic tools to perform complex tasks.

Planning: Breaking down big goals into step-by-step actions.
Reasoning: Making smart decisions based on knowledge and context.
Tool Use: Calling APIs, running searches, and even controlling physical devices.
Memory Propagation: Remembering past interactions to improve future decisions.
Proactive Actions: Not just waiting for input—but driving outcomes.


I used LangGraph for my POC—a framework that can adapt based on user input, by defining states and integrating external APIs for real-time information retrieval.

These components connect in a responsive graph structure, enabling smooth transitions between conversation and tool-assisted responses.

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