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, 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. 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

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