The agent successfully assembled a comprehensive overview of RDP by combining information from the site's /planes page, web search results, and a comparison article. However, the site's heavy JavaScript rendering made pricing and feature details difficult to extract directly—the agent relied substantially on web search and prior knowledge to fill gaps that the site's HTML did not expose in machine-readable form.

• ›Step [5] (/planes) was fetched successfully but returned only Next.js boilerplate HTML; the actual pricing and plan content is client-side rendered, making it invisible to the fetch. The agent had to resort to web search (step [10]) to find specific price points ($1,900–$15,900/month).
• ›Step [10] (web search) returned a link to the RDP vs. Tienda Nube blog article, which directly informed the competitive differentiation section—this became a critical content source because the homepage itself did not clearly articulate how RDP differs from alternatives.
• ›Step [12] (blog article fetch) confirmed the 0% commission model and WhatsApp-based transaction philosophy as RDP's key differentiator, but the fetched HTML was again mostly Next.js scaffolding, suggesting the blog content is also dynamically rendered.
• ›The site has no visible pricing or feature comparison in static HTML; all interactive content (plans, pricing tables, feature details) is JavaScript-dependent. This forced the agent to guess URLs (/precios, /tarifas) and ultimately rely on external search results rather than direct site navigation.
• ›The agent cited two URLs as sources—the homepage and the blog article—but neither was fully parseable from their raw HTML responses. The agent's final answer was built more from inferred intent and web search than from raw site content.