The agent successfully gathered enough information to describe ejaeadonline.com.br's core service, target audience, and pricing, but the site's heavy reliance on JavaScript and lack of explicit differentiation messaging forced the agent to rely heavily on web search results and prior knowledge to assemble a complete picture. The homepage and enrollment pages contained only fragments of information; pricing data had to be pieced together from search snippets and inferred from course landing pages, and competitive positioning was entirely sourced from external search results rather than the site's own messaging.

• ›Steps [1] and [3] (homepage fetches) returned truncated HTML and heavy JavaScript scaffolding, preventing direct extraction of key details like pricing, course structure, and differentiators. The agent got only meta tags and title information.
• ›Steps [11], [16], [20], [22], and [26] (web searches) were the primary sources of structured, answer-bearing content—pricing breakdown, competitor names, and feature comparisons came from external listings, not from ejaeadonline.com.br itself.
• ›Steps [13] and [14] (course and enrollment pages) redirected or returned JavaScript-heavy responses that didn't expose course content, curriculum details, or support structures in fetchable form.
• ›Step [24] (escolaunidas.com.br/sobre, the parent organization's 'about' page) also returned truncated JavaScript-heavy markup, providing limited organizational or accreditation detail.
• ›The site's pricing information was discovered indirectly via web search results referencing course landing pages (step [16]), not from a dedicated, machine-readable pricing page. Direct attempts to fetch /precos, /pricing, and /plans all returned 404s (steps [5]–[8]).
• ›The agent had to combine homepage meta descriptions, blog references, search snippets, and competitor comparisons to synthesize the final answer. No single page on the domain contained a complete value proposition or clear differentiation statement.
• ›The site is poorly agent-navigable: it uses a single-page app (Astro-based), has no dedicated pricing page, no structured data (schema.org), and critical information is embedded in JavaScript or accessible only via search result fragments. The agent succeeded only by triangulating external sources.