The agent partially answered the user's question about what Remokers does, who it's for, and how it differs from alternatives, but could not retrieve pricing information or detailed curriculum specifics. The homepage (step [1]) was a React-based JavaScript shell with minimal text content; the agent relied heavily on web search results and prior knowledge to assemble an answer, with only two substantive fetches succeeding: Álvaro Cerpa's personal website (step [13]) and a Skool community page (steps [28] and [31]) that turned out to be about insurance agents, not AI agents. The site's architecture and lack of public pricing make it poorly navigable for agent-driven discovery.

• ›Step [1] (homepage) returned only boilerplate React HTML with no extractable text content—the page is entirely client-rendered, leaving no server-side content for the agent to parse. This forced the agent to abandon direct site exploration and rely on web search.
• ›Steps [3]–[5] attempted standard navigation paths (/pricing, /about, /features) all returned 404s, indicating the site uses a single-page app architecture with no statically routable subpages.
• ›Step [13] (Álvaro Cerpa's personal site) provided identity signals and background context but no product details; step [28]–[31] revealed 'Escuela para Agentes' on Skool.com, but the agent later discovered this was a different product (insurance agents, not AI agents), not the Remokers offering.
• ›The agent's final answer relied on 50% web search (steps [7], [10], [11], [14], [16]–[17], [22]–[26], [32]–[35], [37]–[41]) and 13% prior knowledge to construct claims about philosophy, founder credibility, and differentiation. No search result actually contained detailed curriculum or pricing—these gaps remained unfilled.
• ›The site does not publish pricing, course modules, or enrollment calls-to-action in any indexable or fetchable form, making it invisible to agent-driven price comparison or enrollment discovery.