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.
Beispiel
The agent receives the task “prepare a list of competitors”, searches for data, groups companies, compiles a table and offers conclusions.
Warum es wichtig ist
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.
So funktioniert es
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.
Wo es genutzt wird
- automation of work tasks
- search and analysis of information
- assistants for development and support
Einschränkungen
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.
FAQ
Why is “Agentic AI / Autonomous Agents” useful to know?
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.