The agent partially satisfied the task by assembling a coherent overview of Keilhauer's business, target market, and positioning, but had to work around a largely inaccessible website. The main keilhauer.com pages ([1]–[6]) were JavaScript-heavy and did not return meaningful content in the HTML fetches; the agent relied almost entirely on web search results ([8]–[10]) to construct its answer. The site's lack of transparent product pricing and detailed product catalogs made it difficult to fully answer pricing and differentiation questions.

• ›Steps [1]–[6] returned only boilerplate HTML headers with truncated content; the actual page bodies were not accessible via static fetch, indicating heavy JavaScript rendering that the agent could not execute. The agent correctly recognized this limitation ('The HTML I could access didn't contain the full page content').
• ›All substantive information came from web search results ([8]–[10]), which surfaced industry coverage (GBD Magazine), competitor intelligence (Craft.co, CBInsights), secondary market pricing (1stDibs), and government contract info. The site itself did not publish this information in a crawlable or fetchable form.
• ›The agent found a pricing page URL and a GSA price list PDF reference in search results but could not access detailed product specs, pricing models, or sales process from keilhauer.com directly. The 'Pricing' page exists but appears to be a contact form rather than a public price list, which the agent correctly flagged as confusing.
• ›The site's heavy reliance on client-side rendering made it essentially non-navigable via static HTTP requests; the agent had to infer structure and resort to prior knowledge + web search to construct a coherent narrative. 80% of the fetches came from 'previous_artifact' (likely cached or reconstructed page models) rather than live HTML content.