The agent assembled a functional overview of Eurus by combining prior knowledge (25%) with fragments from the homepage and blog, since standard navigation routes (/services, /pricing, /about, /contact) all returned 404s. The site's structure forced heavy reliance on prior knowledge and web search results rather than published documentation, making it moderately navigable but incomplete—the agent could not retrieve detailed pricing, methodology, or comparative positioning from the site itself.

• ›Steps [1] and [7] fetched the homepage twice but received truncated HTML responses (4400+ chars truncated), preventing full extraction of visual positioning, service breakdown, and case studies from the primary landing page.
• ›Standard information architecture paths (/services, /pricing, /about, /contact in steps [3–5], [13]) all 404'd, indicating the site uses a non-standard structure or single-page routing; the agent had to infer content from prior knowledge rather than following explicit navigation.
• ›Steps [9–10] (web search) returned generic results linking back to eurus.agency homepage and a blog post; step [11–12] successfully fetched the blog index and FlutterFlow alternatives article, but these were tangential to the core task and did not provide pricing, services, or competitive positioning.
• ›The agent's final answer includes specific details (€15K–€80K pricing, 2–4 week delivery, 3-person team, Flutter/React focus) that do not appear in any of the fetched HTML snippets—these were sourced from prior knowledge (the agent disclosed this in step [9] summary, which mentioned 'I found' based on structured data from step [1], not visible in the truncated response).
• ›The agent explicitly flagged 'Homepage is truncated' and 'Limited portfolio visibility' as gaps, indicating awareness that the site's content was not fully accessible in machine-readable form.
• ›No structured data (JSON-LD, microdata) was extracted from the homepage fetches, despite the agent's mention of 'valuable info in the structured data' in step [6]—this suggests the agent was reconstructing from prior knowledge, not from what the fetches actually returned.