# AI Agents Demystified: Definitions and Effective Patterns

Amid its significant traction, the term “AI Agent” remains somewhat fuzzy, with various interpretations across the tech industry. [In this article](https://support.cognigy.com/hc/en-us/articles/18730386646812-AI-Agents-Demystified-Definitions-and-Effective-Patterns#h_01JN42MFVF3HHDKG0J8FA3HDPJ), Sascha Wolter, Cognigy’s Principal AI/HMI Advocate & Advisor, explains the two types of AI Agents and how to leverage different workflow patterns to meet your enterprise needs.

### Content Overview

- **AI Agents defined**
- **Types of AI Agents:**  
  1. **AI-Enhanced Workflows**: Structured, predefined automation paths that combine Large Language Model (LLM) calls with fixed logic to complete tasks reliably.  
  2. **Agentic AI Agents**: Dynamic systems capable of making autonomous decisions, adapting to new information, and handling tasks flexibly.

- **When to use AI Agents**
- **Building blocks** for behavior control  
- **Workflow patterns**: Customize and combine different patterns to meet your business needs.  
  1. Prompt Chaining  
  2. Evaluator-Optimizer  
  3. Routing and Model Garden  
  4. Orchestration and Concierge

#### [📝Read the full article here](https://support.cognigy.com/hc/en-us/articles/18730386646812-AI-Agents-Demystified-Definitions-and-Effective-Patterns#h_01JN42MFVF3HHDKG0J8FA3HDPJ)

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