The agent could not directly scrape HomeChoice's website due to heavy JavaScript rendering, but assembled a comprehensive answer primarily from web search results and prior knowledge. It successfully explained what HomeChoice does, who it serves, pricing structure, and differentiators — meeting the exploratory task despite the site's technical inaccessibility. However, critical details like interest rates and current inventory remained unavailable.

• ›The website itself (steps 2, 7, 9, 10) returned only blank JavaScript scaffolds with no usable content — every direct fetch failed to render. The agent never extracted actionable information from homechoice.co.za pages themselves.
• ›The agent's answer came almost entirely from web search results (steps 6 and 8), which surfaced third-party summaries, app store listings, review aggregators, and external articles. The site did not publish its own positioning, pricing, or feature documentation in a static, machine-readable form.
• ›The agent explicitly cited sources from external domains (ZoomInfo, BrandsConnectz, MoneyToday, Trustpilot, Google Play) rather than homechoice.co.za itself, indicating the site does not self-document in a way agents can discover. Even FAQ URLs (/help-faqs, /how-to-pay, /delivery-faq) returned only JavaScript shells.
• ›The agent was forced to rely on prior knowledge (~29%) to infer what a 'mail-order + credit' model means and fill gaps left by the site's technical opacity. The final answer reads as plausible inference rather than sourced fact for pricing, terms, and differentiators.