The agent successfully assembled a comprehensive overview of ValeApps' core offerings, target market, and claimed differentiation from direct homepage and terms-of-service fetches. However, the site's complete opacity on pricing and lack of publicly indexed service details required the agent to fill gaps with reasonable inferences rather than hard facts.

• ›Steps [1], [4], [6] returned the same homepage content repeatedly (agent kept re-fetching the same URL instead of discovering linked subpages), yet each fetch was attributed to 'URL typed from memory' rather than site navigation, indicating the agent did not follow any internal links—all discovery was external (search step [8]) or memorized.
• ›Step [10] was the only alternative URL fetched (terms of service), discovered via search results [8], which revealed the proposal-based engagement model and custom pricing stance but did not contain explicit pricing tiers or anchors.
• ›No pricing or service-tier information exists on the site in any fetched form; the agent correctly identified this gap and cited the lack of published rates as a major UX friction point, but could not resolve it from on-site content.
• ›The agent's final response cites only two URLs in its Sources section ([valeapps.com.br/](https://valeapps.com.br/) and [termos-servicos](https://valeapps.com.br/termos-servicos)), both of which were fetched and contained substantive content; steps [1], [4], [6] appear to be repeated fetches of the homepage with progressively narrowed focus queries, suggesting the agent was working within a single page rather than mapping a site architecture.
• ›The agent flagged uncertainty about the '150+ projects since 2024' metric (noting it implies ~8/month delivery rate) as a confusing stat, which reflects reasonable skepticism about a claim that appears on the site but lacks supporting context—this gap came from the site itself, not model memory.