The agent successfully assembled a coherent explanation of Campus CLI/Campus Plus by extracting information from two homepage variants, but the site's minimal content forced heavy reliance on inference and prior knowledge. The agent pieced together what the product does (Blackboard integration + professor selection tool), who it's for (UPC students), and basic pricing (S/5 founder rate), but had to work around missing pages and sparse documentation to deliver a complete answer.

• ›Step [1] (homepage /) returned meta descriptions and title tags that clearly stated the core value propositions ('Todo tu ciclo, en un solo lugar' / 'Blackboard UPC en ChatGPT y Claude'), which became the foundation for the entire answer.
• ›Step [3] (/campus-cli) provided a second variant of the homepage with more specific positioning around ChatGPT/Claude integration, confirming the product's dual nature.
• ›The site exposed very little machine-readable structure: pricing information was minimal (only founder pricing S/5/month mentioned), expansion plans were vague, and no dedicated pricing, about, or features pages existed (steps [4] and [5] returned 404s). The agent had to infer product categories and use contextual clues from meta tags.
• ›The agent acknowledged in its final response what it could NOT find (long-term pricing tiers, roadmap timeline, detailed feature comparisons, security/technical documentation), demonstrating awareness of gaps rather than overconfidence.
• ›The site is in Spanish and targets a specific institution (UPC in Peru), but this context was embedded only in page content, not prominently surfaced in navigation or structured metadata.
• ›The agent did not need web search to answer the core question; both searches ([6] and [7]) returned tangential or unrelated results and were not cited or used in the final answer. The 50/50 split between prior knowledge and homepage content was sufficient because the homepage meta descriptions were descriptive enough.