The agent could not access jetblue.com directly due to persistent 500 errors on the homepage and multiple subpages, forcing reliance on web searches and prior knowledge to answer the task. It assembled a comprehensive overview of JetBlue's business model, pricing tiers, loyalty program, and competitive positioning from third-party sources (CNBC, NerdWallet, FrequentMiler, SANspotter) rather than from the airline's own website. The site was effectively unnavigable for direct discovery.

• ›Steps [7], [11], and [12] were web searches that returned curated links and snippets; the agent then cited external articles (CNBC, FrequentMiler, NerdWallet, SANspotter) in its sources rather than extracting content from jetblue.com itself.
• ›Every direct attempt to fetch jetblue.com returned either 500 errors (homepage, /about, /help, /flying-with-us/our-fares) or 404s (/en, /help/about-jetblue, /flight-deals), indicating the website was either down or not exposing navigable endpoints for an AI agent.
• ›The agent had to heavily bridge the gap using prior knowledge (43% of the run) and web search (14%) to synthesize an answer about JetBlue's offerings, recent 2026 fare restructure, TrueBlue loyalty program details, and competitive comparisons—none of which came from jetblue.com itself.
• ›The final response explicitly acknowledges missing information ('I couldn't find specific information about which destinations they serve', 'the exact implementation details on their site itself are unclear to me') and notes that ideal exploration would require the website to be functional.