What Is Agentic AI? A Beginner’s Guide in 2026

This article is about introduction to Agentic AI and we entering slowly and deeply into the Agentic AI WORLD.The year 2026 is going to be very good who started their journey with AI and Agentic AI. IT WILL EXECUTE MULTIPLE TASK AND TAKE AUTONOMOUS DECISION AND ACHIEVES FINAL GOAL. According to definition, it can perceive,context,plan actions,make autonomous decisions and orchasterate task to achieve goal with limited supervision.

What are Agentic AI Framework?

Answer:
Agentic AI frameworks are software toolkits and blueprints that enable developers to build, deploy, and manage autonomous AI agents capable of reasoning, planning, and executing multi-step tasks using tools and persistent memory. Below pic will understand you better,

What are the Popular Frameworks?

Answer:
Popular frameworks like CrewAI, LangGraph, and AutoGen facilitate complex multi-agent orchestration and scalable workflows rather than simple, linear API calls.

How Agentic AI works?

Answer:

What are the Different Characters present in Agentic AI?

Answer:
TWO MAIN CHARACTERS INVOLVED IN AGENTIC AI:-

• LLM
• FRAMEWORK

Answer:
PUT ATTENDANCE TO EMPLOYEE, BASED ON LOGIN TO SYSTEM
Actually it is broader goal rather than executing simple task. Above Goal is given to Agentic AI,Now Framework will enter into picture.The framework will give this work to LLM. Now LLM will understand this goal.Like it began to analyze "What are Informations needed","Whether this information is already known".Actually LLM is pretrained.So it does not know company or environment specific information.
In Next phase, it takes the goal and understand it first,This process is called Perception.

Answer:
GOAL:- PUT ATTENDANCE TO EMPLOYEE, BASED ON LOGIN TO SYSTEM
COLLECTING DATA FROM ITS ENVIRONMENT THROUGH

• DOCUMENTS
• SENSORS
• APIS
• DATABASE
• USER INTERACTIONS

Environment specific context in AI is to interact with its surrondings to achieve a goal. The agent can update its strategy based on new information from the environment. Environment specific context allows agentic ai moving from Thinker to Doer SO ENVIRONMENT SPECIFIC CONTEXT IS handled primarily in PERCEPTION PHASE. It helps to understand current situation before reasoning or acting. WITH ENVIRONMENT SPECIFIC CONTEXT you should able to do PLANNING,HOW PLANNING HAPPENS THROUH MULTI STEP REASONING.

Answer:
LLM,to achieve goal what are the small task need to execute i.e adhoc analysis.After end of ad hoc analysis ,it gives clear list of task available.so LLM will analyze sequence of Task Dependency.Next LLM will decide for which task,which tool should be used.LLM will send the above information to Framework.Hereafter Framework will travel end to end and if any clarification needed it asks from LLM and again continues the process.
Now framework will pick First Task, whichever tool LLM ask to call,it calls that tool.Before tool calling , it does tool validation, i.e whether it calls correct tool or whether correct parameter is passed.Whether this tools is allowed or correct permission is there.After checking or validating the above conditions,will do Tool Calling.Finally Framework will only will do Tool calling.Also framework will call defined tools.It selects tools which is inside the Framework boundary.

Answer:
Framework, During tool calling if it fails, goes to LLM and LLM says to retry or make a call to another tool.This decision is happening at runtime.This kind of decision making is called Autonomous Decision Making.This decision can be Task specific decision or workflow specific decision or exception specific decision.If it is last task ,execution stops and it is called control flow decision.

Answer:
The First task pick by framework will be executed in this action phase.It calls correct tool and which tool is responding that will be taken ,state will be stored in memory.After that only it sends the loop to LLM.This loop will continue until all tasks are executed.

Answer:
It is the work of Framework.When each task executes, it fetches the result,state and other informations are recorded in memory and continuity across workflows.Here the framework will decide which information to retain and what to discard.

Answer:
It is end to end framework defined and it is like hardcoded.Here policies,boundaries,approvals and what things need to be done and what not to be done are already defined by Human. The role of control phase is to tell Whether human should be involved or not.

What is Orachestration Layer?

It is a centralised control system It does complete end to end forming.The centralised control system that coordinates multiple special agents,models and tools to execute complex, multi step business process. It act as a conductor, managing task assignment,inter agent communication and workflow logic to ensure goal oriented automation.

Tell me how AI Agent will work?

In simple terms, you can remember these 3 things.

What is Planning and Reasoning?

For example, HR will schedule interview for persons who had applied for interview.How HR will schedule interview? first of all he will check for interviewer available time.He sees the calendar of Interviewer, whether he has any other meeting schedule on that day. if no meeting schedule for that particular time on that day.He will get confirmation from interviewer for scheduling interview on that time.After he gets confirmation,HR will schedule interview.
Live scenario of AI agent scheduling interview through Flow diagram.

Action & Tool Calling

To execute the plan ,it needs to call some tools like Gmail,Calendar and google meet.

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