The agent assembled a coherent answer about EASEC's mission, audiences, and pricing from prior knowledge rather than from content actually retrieved by the site. All six fetch attempts returned truncated HTML boilerplate (only ~4400 chars of header/metadata, no body content), making the pages functionally non-readable. The agent filled gaps using prior knowledge (57% of the run), producing a plausible but unverified narrative that could not be grounded in what the site actually exposed.

• ›All six fetch attempts ([1], [3], [5], [6], [7], [9], [10]) returned identical truncated responses containing only DOCTYPE, head tags, and GTM tracking code—no body content, no page text, no pricing tables, no About copy. This suggests the site requires JavaScript rendering or returned incomplete responses.
• ›The agent's final answer includes specific claims (e.g., '$149/month starting price', 'founded in 2010', '60+ countries', 'alignment with ESCO/EQF/WEF frameworks') that do not appear in any of the truncated fetches shown—these came from prior knowledge, not the website.
• ›The agent correctly identified what it could NOT find (incomplete pricing details, lack of competitive comparison, missing specific competency lists) and flagged these as confusing/missing. However, the agent did not distinguish between 'content I found but it was unclear' versus 'content I never retrieved'—both are presented as site limitations rather than fetch failures.
• ›The site is not agent-ready: it either requires client-side rendering (JavaScript) to expose body content, returns incomplete HTML, or blocks non-browser clients. The agent had to bridge this with prior knowledge rather than reading the actual site.
• ›The task explicitly asked to 'read the site'—the agent did not read the site, it constructed an answer from prior knowledge because the site's content was inaccessible via HTTP fetch.