Enables coding agents to publish work mid-task so a real human reviewer can open it, pin comments to the exact elements that are off, and return a verdict. The agent then iterates on that feedback until the work is approved, giving you human judgment on things like design taste, wording, and confusing pages.
Enables AI coding agents to drive a real browser like a person — crawling every page and role, running real user journeys, and auditing controls a DOM-based test misses — so UI, accessibility and permission bugs are found and only the screens affected by recent changes are re-tested. Runs are script-driven and read-only by default, so testing costs no model tokens and nothing about the app is sent to an AI.
Browser-based QA testing for AI-built software. Agents open real browsers (via Selenium), navigate pages, fill forms, click buttons, and report findings. Two modes: targeted tests (30-90s) and full-site discovery scans (3-15min).
Simulates real users navigating your app and delivers qualitative UX feedback, including persona-driven testing, auto-friction detection, and WCAG accessibility audits.
Enables AI coding agents to plan, build, and review websites and product interfaces with a persistent, user-led process, including design direction, component contracts, and implementation review.