UserTrace - User Evaluation for AI Agents uses AI-driven "agent-as-a-judge" models trained for your use case to simulate realistic multi-turn user journeys, generate persona-based interactions from aggregated signals, and automatically evaluate functionality, safety, regressions, and user satisfaction — producing golden datasets, smart prompt suggestions, RCA and CI/CD-ready alerts. Teams use it to catch issues before release, measure impact on retention and engagement, validate guardrails and compliance, and accelerate iteration by surfacing actionable insights in Slack, analytics tools or your CI/CD via a lightweight MCP server.