The agent partially fulfilled the task by extracting TANTAI's core value proposition, target market, and positioning from the website's meta tags and truncated HTML, but could not find pricing details, case studies, or competitive differentiation because the React app failed to load its full content. The site is poorly navigable for agents: it serves only a shell HTML document that doesn't contain the information needed to answer most of the user's questions.

• ›Steps [1] and [3] returned identical truncated HTML containing only meta tags (title, description, author, OG tags) and no body content. The agent extracted 'IA con criterio. No con humo,' target market (10–80 employee service firms), and the one-week audit promise from these meta descriptions alone.
• ›The website is a React SPA that does not server-render its content. The HTTP response contains no pricing information, case studies, competitor comparisons, team details, or implementation details despite the agent's final response noting that a 'Precio' section exists in navigation. This content was never fetched because the React bundle did not execute.
• ›Web searches [5, 6, 8] returned no results about TANTAI specifically—only tangential AI consulting guides. The agent had to rely entirely on prior knowledge of consulting sales patterns (e.g., 'common for consulting to hide pricing') and the meta tag snippets to fill gaps, not on retrieved data.
• ›The agent was forced to flag absences as uncertainty rather than deliver complete answers: 'I couldn't find specific pricing information,' 'No case studies or client examples,' 'Limited visibility online.' These are admissions that the site did not surface the information, not that the information doesn't exist.