Situation
Static crawlers miss the dynamic interactions, delayed content, browser errors, and real user-flow risk that matter in QA.
AI-assisted web QA
WebQA Intelligence
A browser-intelligence system built around Playwright that turns dynamic sites into testable evidence. It combines DOM analysis, interaction discovery, browser health signals, QA scoring, evidence-grounded test generation, and regression comparison.
Project story
Task
Build a browser-intelligence pipeline that turns observed web behavior into evidence-grounded QA analysis without accidentally performing destructive actions.
Action
- Used Playwright to discover same-domain pages, forms, fields, links, controls, and browser health signals.
- Generated interaction candidates from observed evidence and used that evidence for risk scoring and prioritized test generation.
- Added console/network failure signals, regression baselines, and exports while deliberately avoiding arbitrary automatic clicks or form submissions.
Result
- Produced a safer, evidence-first QA workflow that can prioritize meaningful test coverage from real browser observations.
- Kept the production pipeline focused on structured DOM/runtime truth rather than screenshot-only interpretation.
Interactive demo · BYOK
Try WebQA Intelligence live
Bring your own provider key to create a short-lived session for this project. The portfolio does not store the credential.
Used once to create the temporary portfolio session. It is not stored by the portfolio.
One session · reusable across project pages · provider key never stored