How I Designed a Website QA Pipeline That Combines Browser Automation, Deterministic Checks, and AI

Описание и применение

Построена система аудита веб‑сайтов, где измерения выполняются детерминированным ПО, а интерпретация и рекомендации предоставляются ИИ.

Задача

A reliable website QA system must measure objective technical metrics and interpret them for actionable guidance, but relying solely on AI leads to inconsistent results and high costs.

Результат

Combining deterministic measurement with AI explanation yields a robust, cost-effective QA pipeline that delivers reliable metrics and actionable insights.

Рабочий процесс

• Enter URL → crawl site → browser automation renders pages → normalize data → deterministic QA engine performs objective checks → generate scoring and findings → AI analysis interprets findings and suggests fixes → produce reports → developers act on suggestions

Доказательства

Use deterministic systems to measure. Use AI to explain and assist.

Источник

Instead of asking an LLM to perform the entire audit, I separated the system into multiple layers.

Источник