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AI Agents

AI Infrastructure

AI-based programs that can perform tasks through planning, memory, tools, and sequencing.

Definition

An AI agent is not just a model that answers a request. The agent receives a goal, selects steps, accesses tools, analyzes the intermediate result and decides what to do next. In a simple form it can be an assistant for searching information, in a complex form it can be an automation system for a support or development department.

Beispiel

A sales agent can find information about the client, draft a letter, check the tone, send the draft to the manager and record the result in the CRM.

Warum es wichtig ist

The term is important to users because more and more tools sell not “chat,” but rather task execution and workflow automation.

So funktioniert es

An AI agent typically connects a language model, memory, instructions, access to external services, and security rules. It works in iterations: plans, acts, checks and adjusts.

Wo es genutzt wird

  • task automation
  • business assistants
  • agents for code and support

Einschränkungen

The main risks are an incorrect plan, unnecessary actions, data leakage and confident implementation of erroneous instructions. Requires access rights, logging and human control.

FAQ

Why is “AI Agents” useful to know?

The term is important to users because more and more tools sell not “chat,” but rather task execution and workflow automation.