Standard Checks
Defined by the engineers who tested Chrome.
testers.ai
testers.ai
Defined by the engineers who tested Chrome.
Software has become the backbone of modern life, yet it still lacks the kind of baseline safety and quality standards that other engineering fields take for granted. Even the best testing teams often miss common issues because they focus on complex business logic while overlooking basic, repeatable checks. Standard checks close this gap by providing an AI-driven, automated layer of static and dynamic tests that catch serious escaped bugs, ensure broad coverage across accessibility, privacy, security, and usability, and free human testers to focus their creativity where it matters most: business-specific risks and unique product logic.
The AI executes standard checks in a structured sequence:
Collect all available artifacts — screenshots, underlying code, network traffic, and console logs — and run a full suite of static, general checks across this matrix.
Classify the page content and detect its key features (such as a search box, sign-in dialog, or checkout flow), then run feature-specific static checks relevant to those detected elements.
Generate likely user personas and simulate their qualitative feedback on the page experience. This is complemented by targeted interactive test generation.
Produce and execute dynamic tests — covering happy paths, edge cases, invalid inputs, negative flows, and scenarios statistically likely to expose bugs — similar to exploratory testing or Selenium regression suites.
Use a dedicated evaluation agent to deduplicate findings, validate their correctness, assign priorities, and filter for relevance.
Present the refined issue list for expert review, where human testers can thumbs up, thumbs down, or star findings to confirm or highlight them.
Generate a polished quality report summarizing AI-found and human-reviewed results. Integrate directly with bug tracking systems. When running inside developer IDEs like Cursor, Windsurf, or VS Code, attach a "Copilot fix prompt" to each issue — a ready-to-use snippet developers can paste into their coding agent to accelerate fixes.
(Apply across any site/page — broad quality, compliance, and technical areas)
(Targeted to particular flows, components, or page types)