The agent successfully gathered a comprehensive overview of UniFECAF's offerings, target market, and positioning from repeated fetches of the homepage. The site is moderately agent-ready but requires multiple passes and leaves gaps (pricing opacity, vague competitive claims, unexplained employment metrics) that the agent had to flag rather than resolve.

• ›All four fetches returned the same URL (unifecaf.com.br/) typed from memory, not discovered via links—the homepage was the only page fetched. The agent did not navigate into subpages or drill into course details, meaning breadth came from one page's content, not exploration.
• ›Pricing was visible on the site but deliberately opaque: promotional rates were highlighted while base rates were hidden behind WhatsApp contact requirements. The agent correctly identified this as a friction point and called it out.
• ›The '90% employment during graduation' claim and 'built by listening to companies' narrative appear on the site but lack supporting evidence (methodology, testimonials, curriculum details). The agent correctly noted these as unsubstantiated claims rather than accepting them as fact.
• ›The site's MEC accreditation, 500+ EAD poles, and 3,000+ company partnerships were explicitly stated and required no inference—these are the site's primary differentiation levers and were straightforward to extract.
• ›The agent inferred the target audience (working professionals, non-traditional students, underserved regions) from modality options (EAD, hybrid) and entry pathways (multiple routes) rather than from explicit positioning statements. This represents model-informed synthesis of site signals, not explicit site content.