The agent successfully assembled a comprehensive explanation of MyWhatIf's mission, target audience, nonprofit funding model, and differentiation by combining direct site content (homepage, about, FAQ) with external third-party coverage. The site itself lacks dedicated pricing and how-it-works pages, forcing the agent to rely on prior knowledge and external sources to fill critical gaps; the agent transparently flagged what it could not find on the native site, making clear what came from external inference vs. direct retrieval.

• ›Step [1] (homepage) and [2] (about page) provided mission statement, nonprofit positioning, and target populations (veterans, cancer patients); step [6] (FAQ) added details on safety, privacy, and clinical context; step [8] (third-party article by founder) supplied the clearest explanation of how the AI intervention actually works and the narrative-focused philosophy.
• ›The site does not publish pricing, access instructions, or detailed efficacy data in fetchable form — steps [3] (pricing URL) and [4] (how-it-works URL) both 404'd, indicating intentional or incomplete information architecture. The agent had to search externally and cite a third-party CEO interview to construct the 'how it works' section of the answer.
• ›MyWhatIf publishes metadata and page titles clearly (mission in title tag, FAQ description), but the actual content depth on 'what the AI does' and 'how to access it' is thin on the primary site. The agent relied 50% on previous artifacts (likely prior knowledge of the organization or cached content) and 33% on web search to fill the gaps, indicating the site alone is insufficient for a complete explanation.