The agent successfully assembled a comprehensive explanation of Factofly by combining web search results with fetched content from external sources and the site itself. However, the site's own pages returned truncated HTML that prevented direct parsing of key details—the agent relied heavily on a Starter Story interview and external context to fill gaps, then confirmed specifics by fetching feature pages. The site is moderately navigable but not agent-optimized; critical information exists on-site but is embedded in rendered content rather than structured data or plain text.

• ›Step [22] (Starter Story interview) was the most content-bearing single source, providing the CEO's own articulation of the business model, revenue ($1.8M/year), and core value prop. This was not from factofly.com directly but was the clearest source of truth about what they do.
• ›Steps [23], [29], [30] fetched from factofly.com itself (/en/business/umbrella, /en/features/forsikring, /en/how) but returned truncated HTML (all showing '[truncated, 4400 more chars]') that the agent could not fully parse. The agent had to infer from page URLs and prior knowledge that these pages contained relevant information rather than reading it directly.
• ›Step [27] search results included URLs like 'factofly.com/en/how/' and 'factofly.com/en/features/deduction' that confirmed page structure and feature names, but the agent never successfully retrieved their full content—the site's rendering strategy made these pages invisible to fetching.
• ›Pricing information (6% fee, 1.95% early payout) was not retrieved from factofly.com/en/pricing directly (step [5] also truncated); the agent sourced it from web search snippets and external sources, indicating the pricing page either relies on JavaScript rendering or is not plain-text accessible.
• ›The agent had to use 60% web search and 13% previous artifacts to compensate for the site's inaccessibility, suggesting Factofly's content is either dynamically rendered, behind a wall, or structured in a way that breaks standard fetching. Only 27% came from prior knowledge.
• ›The agent explicitly flagged confusion about missing direct competitor comparison, B2B mechanics, and geographic scope—all gaps that suggest the site does not clearly surface differentiation or scope on easily discoverable pages.