The agent successfully assembled a comprehensive overview of Really Good Emails by combining direct site navigation (homepage, pricing, about pages) with web search results that surfaced product pages and competitor comparisons. The site's information was scattered across multiple pages and required prior knowledge to synthesize; pricing details and feature specifics were only partially visible in fetched HTML, forcing reliance on prior knowledge and search results to construct the complete picture.

• ›The homepage (step 1), pricing page (step 2), and about page (step 3) were all successfully fetched but returned truncated HTML (4400-char limits) that did not contain the full feature set, pricing tier details, or differentiators — the agent had to infer and fill gaps from prior knowledge.
• ›The agent discovered the dual product offering (library + Studio) and AI co-pilot feature primarily from prior knowledge rather than from readable page content; the fetched HTML snippets were too limited to confirm these details came from the site itself.
• ›Web search (steps 8 and 9) provided links to key product pages (studio, features, competitors) but the agent cited these links as sources rather than their content, indicating the search results were routing tools more than content sources. The agent's detailed claims about Studio features, AI co-pilot behavior, and accessibility checks appear to be reconstructed from prior knowledge, not from what was actually fetched.
• ›Pricing information (step 2) was acknowledged as 'mostly design (HTML/Webflow), not fully loaded with detailed feature comparisons,' revealing that the site does not publish pricing tiers in machine-readable form; the agent correctly flagged this as incomplete transparency.
• ›The site's separation of concerns (library vs. Studio) and the positioning ambiguity the agent noted suggest the site itself does not clearly surface the integrated nature of the offering upfront, making discovery harder for both humans and agents.