Intermediate · Evaluation

Synthetic Users

Visual diagram · (in preparation) · Math · (in preparation) · Worked example · 3 difficulty levels.

TL;DR. Automated agents or AI models designed to simulate user interactions and behaviors for testing, validating, or iterating on AI systems.

Technical Definition

Automated agents or AI models designed to simulate user interactions and behaviors for testing, validating, or iterating on AI systems.

How it works

Synthetic users provide a scalable and efficient way to test AI applications, especially in the context of LLMs and conversational agents. They can simulate diverse user personas, prompt variations, and interaction patterns, helping to identify bugs, evaluate performance, and refine user experience without extensive human involvement. This enables robust testing at scale.

Related Concepts

• Agentic AI — AI systems designed to independently plan, execute, and adapt actions to achieve a given goal, often involving multiple steps and external tools.
• AI Red Teaming — A structured process of rigorously testing an AI system, often by adversarial attack simulations, to identify vulnerabilities, biases, and potential for misuse.