The agent successfully understood Sinthoma's core offering, target audience, pricing tiers, and differentiation by combining fetches of the Brazilian site and web searches for comparative context. The site itself was only partially navigable—the primary domain (sinthoma.com) was non-functional, forcing reliance on the .com.br variant and external search results to assemble a complete picture. The agent had to bridge significant gaps: pricing was extracted from search results rather than a dedicated pricing page on the site, and competitive positioning required external comparisons rather than site-native claims.

• ›Steps [5] and [7] returned the same landing page HTML (sinthoma.com.br/) but the full content was not machine-readable due to Next.js dynamic rendering—the agent could not extract structured pricing, features, or positioning directly from the page source and had to rely on web search results instead.
• ›Steps [9] and [10] (web searches) were the actual sources of pricing details (R$ 49/month, R$ 179/month), competitive context (Sintropia, PsicoManager, PsiNota AI, Psicofácil), and feature positioning. These were cited explicitly in the final response's sources list, making search results more content-bearing than the fetched landing page.
• ›The site's use of JavaScript-rendered content and the non-functional .com domain created discovery friction: the agent had to infer the .com.br domain via search, not through site navigation or clear redirects. No pricing page, feature breakdown, or competitor comparison was directly accessible on the fetched site.
• ›All information needed to answer the task (what it does, who it's for, pricing, differentiation) was available via search and the landing page, but only search snippets and prior knowledge (marked as 50% of sourcing in metadata) provided structured, extractable detail. The site itself did not publish an agent-ready pricing or comparison resource.