The agent could not fully satisfy the task due to JavaScript-heavy rendering that blocked access to pricing details. It assembled a coherent overview of what Felipe Vergara does (Meta Ads training), who it serves (entrepreneurs and agencies), and what differentiates it (Credly certification, $35M+ agency track record, community support) by combining web search results and prior knowledge, but explicitly flagged the inability to retrieve specific pricing—a key piece of information requested. The site's architecture made it inaccessible to the agent's fetcher, forcing reliance on search snippets and inferred details rather than direct page content.

• ›Steps [1], [4], and [6] fetched HTML that was truncated JavaScript boilerplate with no readable content—the site's client-side rendering completely blocked the agent's direct access to page text. The agent correctly identified this as the reason pricing could not be determined.
• ›Steps [3], [5], and [7] were all web searches that returned link titles and snippets; these searches surfaced the course page URLs and blog content references, which the agent then cited in its Sources section. The search results themselves (not subsequent fetches) provided the actionable intelligence—e.g., 'Curso Meta Ads - Felipe Vergara' as a title confirmed the product offering.
• ›The agent had to infer most descriptive content (the $35M investment figure, Credly certification, 9,000+ student community, weekly live sessions, AI integration) from search result titles and URLs rather than from fetched page bodies. This suggests the site publishes information via SEO/metadata but not in a fetcher-readable format.
• ›Pricing was explicitly unavailable—the agent correctly reported this gap rather than guessing. No pricing page fetch succeeded; the courses page [6] returned only boilerplate JavaScript.
• ›The website is in Spanish and targets Latin American entrepreneurs; the agent noted this but it did not impede understanding of the core offering, only confirmed market positioning.