The agent gathered a substantive overview of Gefasoft Engineering despite heavy friction: the German homepage was fetched but returned truncated HTML, direct navigation to /leistungen and /preise endpoints failed (404s), and /ueber-uns timed out. The agent pivoted to web search, which surfaced the English site variants (/en, /en/products/overview), and those fetches succeeded and provided the core content about what the company does, who it serves, and its positioning. However, pricing information was genuinely unavailable on the site, and the agent had to acknowledge significant gaps in service detail and competitive differentiation.

• ›Steps [9] and [10] (English homepage and products overview) were the only successfully rendered content-bearing fetches; they provided the foundation for claims about custom software, proprietary products (Fabchat, CIM Viewer, EQC, Smart Data Analyzer), target industries, and the 'extended workbench' engagement model.
• ›The German-language homepage (steps [1–2]) returned 200 but with truncated HTML, making it unreadable; direct German navigation paths (/leistungen, /preise) returned 404s and /ueber-uns timed out. The agent had to abandon the German site entirely and resort to web search to find English URLs.
• ›Web search (step [8]) was essential to recovery—it returned URLs to the English site and LinkedIn, which the agent then fetched. Without search, the task would have failed entirely given the German site's inaccessibility.
• ›Pricing was genuinely absent from the fetched pages; the agent correctly flagged this as 'not clearly stated' rather than missed, and inferred a project-based model from context (custom software, enterprise focus).
• ›The agent leaned on prior knowledge and LinkedIn data (sourced 29% from web search, 43% from previous artifact, 14% from prior knowledge) to fill gaps in product names, team size, location, and competitive positioning—the site alone did not provide complete answers on differentiation or service structure.