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What are AI Agents? - A Complete Guide on Agentic AI

  • Writer: Bholay Nath Singh
    Bholay Nath Singh
  • Jun 9
  • 3 min read

Artificial Intelligence (AI) has evolved a lot over the last few years. What started as simple chatbots and virtual assistants is now transforming into something much more powerful and independent — something that doesn't just respond to your questions but can plan, act, and complete your tasks.


This new wave is called Agentic AI. It is one of the most exciting developments in the field of AI and is already changing the way we interact with machines.


What is Agentic AI?


Agentic AI refers to AI systems that are not only able to generate content or respond to inputs, but are also capable of taking actions autonomously, following a goal or objective given by the user.


Think of it like this:


You tell your assistant,


“Book me the cheapest flight to Delhi for tomorrow morning.”


Instead of just giving you a list of flights, Agentic AI will search different travel sites, compare the prices, ask you to confirm one, and then book the ticket for you. In other words, it is not just reactive, but proactive and goal-driven. It doesn’t wait for every small instruction it takes initiative, works across tools, and completes the entire workflow.


This is very different from traditional models like GPT or ChatGPT which provide responses but don’t perform actions.


What are AI Agents?


At the heart of Agentic AI are AI Agents.

An AI Agent is a software entity that:

  • Understands a goal

  • Plans how to achieve it

  • Uses tools (like databases, APIs, browsers)

  • Makes decisions

  • And completes the task, step-by-step


These agents are like digital workers. They are modular, meaning each agent can be designed for a specific function — like one for searching, one for comparing, another for taking an action, and so on.


For example, if you say:


“Help me find the top three laptops under ₹50,000 and buy one with good reviews.”


Here’s what the agent would do:


  • Search Amazon, Flipkart, and other e-commerce sites.

  • Filter results under ₹50,000.

  • Compare technical features and customer ratings.

  • Present the best options with pros and cons.

  • Upon your confirmation, proceed to buy.


This entire process is managed by multiple agents working together under a goal-driven loop.


Technical Foundation of Agentic AI


Let’s go one level deeper and understand how Agentic AI works technically.

Core Components:


  • Planner : Understands the user input and creates a plan.

  • Executor : Carries out each task as per the plan.

  • Tool Integrator : Interfaces with external APIs, search engines, forms, or databases.

  • Memory/History : Stores past context, intermediate results, and decisions.

  • Feedback Loop : Keeps checking if the task is progressing well or needs adjustments.


This modular structure allows Agentic AI to handle dynamic tasks, not just static prompts.


Example Workflow:


Let’s say you give the instruction:


“Schedule a meeting with 3 team members next week.”


Here’s what the Agentic AI does:


  • Understands the goal (schedule meeting)

  • Checks your calendar

  • Sends emails/messages to others

  • Finds common available time slots

  • Confirms with everyone

  • Books the slot and sends calendar invites


At each stage, it may use tools like:


  • Google Calendar API

  • Gmail/Outlook integrations

  • LLM to write polite emails

  • Memory to track who responded


Real-Life Examples of Agentic AI Usage


Let’s take a look at how Agentic AI can be used in real situations.


1. Personal Finance Assistant

You say:


“Tell me my monthly spending and help me invest ₹10,000.”


Agentic AI will:


  • Access your bank statement

  • Categorize your expenses

  • Suggest a few investment platforms like Zerodha, Groww, or FD options

  • Help you open an account and invest


2. Student Support


A student asks:

“Help me create a project report on solar energy and submit it.”


Agentic AI will:


  • Research the topic

  • Draft a report using a proper format

  • Create slides using Google Slides or Canva

  • Submit it through the school portal


3. Customer Support in Business


A company receives a complaint:

“My order was delayed. I need a refund.”


Agentic AI will:


  • Fetch order details from the CRM

  • Check status and delivery info

  • Draft a refund message

  • Initiate refund if applicable

  • Inform the customer


Architecture Overview


Image of Agentic AI architecture

Agentic AI is much more than just a talking bot, it’s a system that works for you like a digital intern, personal assistant, or team member. It understands what you want, makes a plan, and completes the work from booking tickets to preparing reports, from ordering products to writing emails.


The concept of AI Agents inside Agentic AI makes it possible to handle complex, multi-step workflows — similar to how a human would solve problems using Google, forms, and tools.


As we move forward, Agentic AI will become a key part of both personal and professional life — helping with:

  • Automation

  • Time-saving

  • Productivity

  • Smart decision-making


And the best part? It will continue learning and getting better every day.

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