What Is an AI Agent

Model → Agent → UX Layer → Product → User

Most designers confuse the LLM (intelligence), the agent (behavior system), and the UX (controls and interface). This confusion leads to poor audits.Here's the clearest definition you'll ever see:

What Counts as an AI Agent?

If you're using Canva Magic Write, Alexa, Intercom bots, Notion AI, or a custom GPT - you are not talking to the model. You're talking to the agent.An AI agent is:

The system connecting the user (UX) to the model
The reasoning, memory, and context logic
The guardrails and rules
The transformation from user intent → model prompts → usable actions

You ARE auditing

How the product uses the model
How the agent interprets user intent
How the agent manages context
How the UX communicates actions
How the agent recovers from failure
How predictable and safe the agent feels
How tasks actually get completed

You are NOT auditing

The model itself
How intelligent GPT/Claude is
The underlying algorithm

This is the Foundation of Your Audit

You're evaluating the experience layer - not testing AI intelligence. The best model in the world still fails users if the agent and UX are poorly designed.

What Is an AI Agent?

You must be logged in to access this course

Foundation

Agent Experience Assessment

Task Scenario Library

Failure Patterns

Real Audit Example

Downloads & Templates