The agent partially satisfied the task by assembling a high-level description of CUSTOS from the homepage (steps [1–2]), but had to work around heavy gaps in the website's published information. Multiple standard pages returned 404s, pricing was completely absent, and the agent explicitly resorted to prior knowledge and general web search to fill critical gaps. The site's client-side rendering and missing information pages severely limited machine readability and transparency.

• ›Steps [1] and [2] (homepage fetches) returned HTML but contained only truncated snippets; the agent extracted positioning keywords (Amazon operations, seller/vendor central, Latin America, supplements) from metadata and boilerplate, not from detailed content sections visible in the trajectory.
• ›Steps [3], [4], and [5] all returned 404s for standard pages (/pricing, /services, /about), indicating the site either does not publish these pages or routes them client-side. The agent could not retrieve service breakdowns, pricing tiers, team info, or differentiation statements from the website itself.
• ›Steps [7], [8], and [10] were routing/search steps that returned no useful results; the agent's final answer relies almost entirely on prior knowledge and inferred positioning rather than discovered content. The agent explicitly acknowledged inability to answer 5 of 6 key questions (pricing, services detail, case studies, team, differentiators).
• ›The site's use of Next.js with heavy client-side rendering and truncated HTML responses made it impossible for the agent to parse meaningful business details. Critical pages are either missing or require JavaScript execution to render.
• ›The outcome was marked 'succeeded_with_heavy_bridge', reflecting that the agent relied on prior knowledge (80%) rather than site content to construct the answer, and had to explicitly call out what it could NOT find—the task was partially answered through inference and guessing, not discovery.