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What is Agentic System?

Autonomous structures that make decisions and take action on their own to achieve goals without human intervention.

Overview

The agentic system is a system that not only carries out the command given to it, but also plans what steps it needs to take to carry out this command. These structures can change their strategies to overcome the obstacles they encounter and manage the process until the goal is achieved. He uses his own initiative, sort of like a digital employee.

Analogy: Instead of a robot just waiting for the command 'bring me a coffee', it is like an assistant who goes to the kitchen and realizes there are no coffee beans left, then goes to the market and shops.

How it works

You simply define the end goal to the system. The system identifies the subtasks needed to achieve this goal, selects the tools, and executes each step sequentially. It corrects errors by checking its own performance throughout the process.

Where it is used

It is used in the automation of complex workflows, software development processes and autonomous research projects.

Commonly confused with

Can be confused with ordinary automation tools; While automation only follows the predefined path, the agentic system draws the path itself.

Frequently asked questions

Do agentic systems always make the right decision?

No, sometimes they may follow wrong strategies, which is why human supervision is still important in critical processes.

Do these systems learn on their own?

Yes, most agentic systems are designed to learn from experience and work more efficiently on the next task.

Related terms

Related tools

This explanation was written in plain language for TreScout and machine-translated from the Turkish original · the Turkish version prevails. If something looks wrong or missing, write to hello@trescout.com. Read in Turkish →