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

Description and use

A website QA pipeline that uses deterministic checks for measurement and AI for explanation and prioritization.

Problem

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.

Outcome

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

Workflow

• 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

Evidence

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

Source

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

Source