Web Agent for QA Testing & User Journey Verification

An AI agent that automatically tests user journeys and catches product breakages by following predefined or AI-described workflows. QA teams manually test repetitive user flows, wasting time and missing bugs. This agent automates journey verification and A/B testing.

Browser-based test automation is having a genuine moment — Playwright and Cypress commoditized scripted testing, but LLM-driven agents that can interpret natural-language workflows and self-heal when selectors break are a meaningfully newer surface that established tools don't handle well yet. Mabl and Testim are the closest incumbents, though both sit in enterprise pricing tiers that leave a real gap for smaller engineering teams. The $5k–25k MRR band is plausible given that QA tooling is a direct cost-center sale — teams can calculate time saved in hours per sprint — but getting to even five paying customers requires surviving a brutal proof-of-concept gauntlet where reliability is the only thing that matters. The single most likely failure mode is flakiness: if the agent misidentifies a broken journey or produces false positives at any meaningful rate, QA engineers will abandon it faster than a bad Selenium setup, and rebuilding that trust is nearly impossible.