The agent assembled a reasonable understanding of tomimoreno.com.ar by combining a web search (which surfaced the site's key pages and LinkedIn profile) with attempted fetches of the CV and Library sections. However, the site's heavy reliance on Next.js client-side rendering meant the agent could not extract detailed content from the HTML alone—it relied primarily on search result snippets and prior knowledge to construct its answer. The site is poorly agent-navigable in its current form.

• ›Step [5] (web search) was the primary source of actionable information—it returned structured links to /cv and /library pages and identified Tomi Moreno as a Technical Product Manager and fullstack developer. This search result, not the site's own HTML, enabled the agent to understand what the site offered.
• ›Steps [7] and [8] (fetches to /cv and /library) returned only truncated Next.js boilerplate HTML with no usable content, confirming that client-side rendering blocks static content extraction. The agent could not extract the actual CV, library contents, or qualifications from these responses.
• ›The agent's final answer relied heavily on inference and prior knowledge (noted as 50% from web search, 25% from prior knowledge) rather than content directly parsed from the site. Key claims about Tomi's background (crypto/blockchain expertise, work at UBS/Deutsche Bank, founding Afippi, role at UTDT) appear to have come from the search result metadata and LinkedIn profile, not from tomimoreno.com.ar itself.
• ›The site does not publish structured data, metadata, or a human-readable fallback for the homepage—it is entirely dependent on client-side JavaScript rendering, making it opaque to agents and search crawlers attempting to understand its purpose without executing the full SPA.