The agent assembled a coherent explanation of fiennes.org's business by combining web fetches and search-sourced fragments, but succeeded despite significant gaps in the site's transparency. The site's actual pages returned heavily truncated HTML that prevented direct reading of content; the agent reconstructed the story from page titles, URLs, and prior knowledge about CMS platforms. Critically, pricing and service model information remain inaccessible — the agent explicitly flagged this as a major missing piece rather than providing invented details.

• ›Step [5] (homepage) and steps [7–8], [13], [24] (Web, About, InForm, Contact pages) all returned truncated HTML responses that did not contain readable content, forcing the agent to rely on page titles and URL structure rather than body text.
• ›The agent's final answer about InForm's features, positioning, and differentiation came almost entirely from search result titles and URLs (steps [3], [10], [15], [20], [21], [29]), not from fetched page bodies. Search results like 'InForm Content Management System - Web - fiennes.org' and 'Bespoke Functionality and CMS Extensions - Web - fiennes.org' supplied inferential cues about the product structure.
• ›Pricing was genuinely absent from what the agent could access — it correctly identified this as a major gap rather than hallucinating a price model. The site's routing to /Contact exists but the agent could not extract contact details or pricing from it due to truncation.
• ›The site's navigation structure and information hierarchy were discoverable via search and URL patterns, but the actual content depth was blocked by rendering/fetch issues. The agent had to rely on prior knowledge of CMS ecosystems to contextualize fiennes.org's role.
• ›Step [18] (Companies House page) was fetched to validate the company's legal status and location (Edinburgh), confirming it as a real business, but offered no additional product detail.