Direct answer: use AI to accelerate diagnosis, not to approve releases
Chrome DevTools can support an AI-assisted website quality-assurance workflow because Google documents browser tools for inspecting pages, analyzing network activity, recording performance traces and troubleshooting web applications. Google also describes AI assistance from Gemini and a Chrome DevTools MCP server that can connect DevTools capabilities to coding agents. Lighthouse checks can be automated through an agent workflow for accessibility, SEO, best practices and agentic navigation. These are diagnostic capabilities, not an official promise that an agent can safely repair or release a production website without supervision.
CreatikLab’s operational interpretation is therefore conservative: let the agent collect evidence, organize findings and propose testable actions; let a qualified person decide whether the evidence is sufficient. The useful commercial deliverable is not a transcript of an AI chat. It is a reproducible QA package containing the tested journey, environment, trace or request evidence, severity, proposed remedy, regression test and release decision. This approach makes AI useful without treating confident language as proof.
