Faultline

Faultline is a synthetic behavioral failure simulation platform that tests how real humans interact with software before launch. Traditional QA tools verify whether applications technically function, but they rarely detect confusion, mistrust, cognitive overload, abandonment risk, or exploitability. As a result, companies often discover critical UX and behavioral failures only after users leave, support tickets rise, or vulnerabilities are abused in production. Faultline solves this by using autonomous AI agents that simulate realistic human behavior across web applications and workflows. We created synthetic personas including low-tech older adults, distracted multitaskers, impatient shoppers, non-native English speakers, visually overwhelmed users, and adversarial exploit seekers. These agents navigate interfaces using Playwright, multimodal analysis, and LLM-powered reasoning to identify where users become confused, anxious, frustrated, or vulnerable to manipulation. The platform generates behavioral risk reports, confusion heatmaps, trust-risk analysis, exploit detection, and actionable UX recommendations. Instead of simply testing whether software works, Faultline tests whether humans can successfully survive the experience of using it. Built using Node, Playwright, Qwen, and AMD GPU infrastructure, Faultline demonstrates how multi-agent AI systems can simulate large-scale behavioral testing in parallel before software reaches real users.