What is Agentic AI / Autonomous Agents
AI systems that can plan actions, use tools, and complete a task in a few steps with limited human intervention.
Definition
Agent AI differs from a regular chatbot in that it not only answers the question, but also attempts to complete the goal. Such an agent can break the task into steps, call external tools, check the result, correct the error, and continue working.
Example
The agent receives the task “prepare a list of competitors”, searches for data, groups companies, compiles a table and offers conclusions.
Why it matters
This is one of the key terms for the modern AI tools market: many services now promise not a separate answer, but the execution of workflows.
How it works
Typically, an agent consists of a language model, memory, rules, a set of tools, and a scheduling mechanism. He accepts the goal, selects actions, obtains intermediate results and adjusts further steps.
Where it is used
- automation of work tasks
- search and analysis of information
- assistants for development and support
Limitations
Autonomy increases the risk of errors: the agent may misunderstand the goal, call the wrong tool, waste unnecessary resources, or continue with the wrong plan.