Uncover hidden failures, validate every change, and iterate faster with confidence.
Sofie Meyer
Conversational Designer, Turn.io
Test your AI Agent for reliability and quality across complex scenarios in minutes
Discover the edge cases and unexpected user behaviour that manual testing rarely uncovers.
Evaluate safety, quality, policy adherence, tone, business rules, or any criteria that define success for your AI.
Interactive reports, root-cause analysis, and prompt suggestions help your team fix issues and verify every improvement.
Catch regressions before they reach users and validate every prompt or model change before release.
Get started with UserTrace in minutes. Iterate with confidence.
Prompt · API sandbox · Voice · WhatsApp · Slack · Workflow No engineering dependency. No long setup.

Share context about your users and goals. We will generate realistic personas, journeys, and evaluation criteria tailored to your usecase.

Simulated users will interact with your AI across intents, context, edge cases, and unexpected scenarios.

See exactly what failed, why it happened, and what to change. Re-run to measure improvements before every release.

Join hundreds of companies already using UserTrace to optimize their AI experiences
A comprehensive benchmark comparing leading LLMs across 500 simulated patient conversations using HealthBench evaluation criteria.
Read more →How clinical-grade simulation can rigorously evaluate mental health AI agents before they interact with real patients.
Read more →Why AI agent evaluation needs to shift from prompt-level metrics to product-level quality assessment.
Read more →Everything you need to know about UserTrace
Start simulating real users, uncover hidden failures, and improve every release with confidence.
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