The agent gathered substantial but incomplete information about FarmaSkills through web search and social media sourcing rather than the actual website. The site itself was largely inaccessible due to heavy JavaScript rendering, forcing the agent to rely on search results, LinkedIn, and inferred URLs to answer what FarmaSkills does, who it serves, and basic pricing (€249 starting price). The agent could not verify detailed course catalogs, complete pricing tiers, or specific differentiation claims directly from the site.

• ›The website (farmaskills.com/) returned only raw JavaScript and form scripts with no readable HTML content; the agent was unable to extract meaningful information from direct site fetches [1, 13, 14, 15, 18, 19, 22, 23], forcing reliance on search engines and social platforms.
• ›Web searches [7, 8, 9, 16, 20, 21, 24, 25] yielded the most useful information, including LinkedIn profile [11], mentions in industry publications (Biotech Spain), and third-party directories. The agent cited these search sources and LinkedIn in its final answer, not the homepage.
• ›The agent successfully inferred the company's mission (pharmaceutical/biotech training), target audience (career changers, industry professionals), and a pricing floor (€249) from search snippets and LinkedIn data, but could not verify master's degree status, comprehensive course catalog, or full pricing tiers.
• ›Multiple fetch attempts to logical URL paths (/pricing, /about, /en, /es, /formacion) all returned 404s or JavaScript bloat, indicating either a single-page app with client-side routing or poor site structure. The agent had to guess working URLs based on search results.
• ›No structured data (schema.org, JSON-LD), llms.txt, or API documentation was discoverable, forcing the agent to assemble its answer from fragmented sources rather than authoritative site content.