The agent assembled a comprehensive explanation of Sainsbury's Money by combining direct site fetches (homepage, loans, pet insurance, home insurance pages) with web search results. However, the site itself was largely opaque due to JavaScript rendering—the agent could not read actual product content from the fetches and instead relied on prior knowledge and external search results to construct the answer. The task was satisfied, but only partially through the website's own content.

• ›Steps [1], [4], [7], [8] returned HTML scaffolding only; the actual product descriptions, pricing, and features were client-side rendered and invisible to the agent's fetch tool. The agent could infer which pages existed but not read their content.
• ›Steps [10] and [11] (web search) provided the substantive information used in the final response—product details, pricing (pet insurance at £1/month, loans up to £35k), partner relationships (LV=, NatWest), and the July 2026 rebranding. These external sources, not the site itself, grounded the answer.
• ›The site's JavaScript-heavy Next.js architecture made it non-machine-readable without rendering; critical product information (pricing, coverage details, Nectar benefits) was not available in the fetched HTML, forcing the agent to cite external sources and acknowledge gaps (e.g., 'Missing Pricing', 'Nectar Benefits Not Clearly Stated').
• ›The agent correctly identified that the site does not clearly communicate discontinued loan services or transparently attribute insurance partners on product pages—legitimate UX issues that would affect both human and machine navigation.
• ›The 404 errors on /insurance and /travel-money (steps [3], [5]) suggested outdated navigation paths, adding to the site's navigability friction despite the task ultimately succeeding.