The agent partially completed the task by assembling a working overview of ObeliOmed's purpose, target market, and basic pricing model from homepage metadata, a pricing page fetch, and web search results. However, critical gaps remain: two key detail pages (the full pricing breakdown and ERP feature page) timed out, preventing the agent from delivering the complete competitive analysis and detailed feature comparison the task requested. The site's infrastructure proved unreliable under agent access patterns.

• ›Step [1] homepage fetch returned meta descriptions in the HTML head that encoded the core value proposition (clinic management software: agenda, medical histories, billing, consent forms, GDPR/Veri*Factu compliance), which the agent extracted without needing to parse the full rendered page.
• ›Step [5] pricing page fetch succeeded but the agent could not retrieve its full content; step [9]'s timeout on the same URL meant detailed pricing terms, plan tiers, and feature inclusions remained inaccessible.
• ›Step [11] web search was citation-worthy because it surfaced the ERP feature page URL, but step [13]'s fetch of that URL also timed out, leaving the agent unable to verify or expand on specialty-specific features and competitive positioning.
• ›The agent relied heavily on prior knowledge (57% of fetches) and search results to backfill what the site's timeout failures prevented; the actual HTML returned was truncated and character-encoding issues (Ã artifacts) suggest incomplete or malformed responses.
• ›Site architecture appears to use Spanish-language URL patterns (/precios not /pricing) but English alternatives (tested in step [6]) returned 404s, indicating no i18n routing and forcing agent guessing of URL structure.
• ›The agent never accessed a features page, pricing calculator, FAQ, or competitive positioning section—either because they don't exist at guessable URLs or because the site's performance degraded under repeated accesses.