The agent assembled a reasonable high-level summary of hanna.lol by combining prior knowledge, web search results, and fragments from fetched pages—but could not access the actual content of the website itself due to HTML truncation. The site proved difficult to navigate programmatically; the agent had to rely heavily on external sources (GitHub, Bluesky, blog search results) and inference rather than the site's own documentation to answer what hanna.lol is, who it serves, and what projects it hosts.

• ›Step [1] and [3] returned truncated HTML that cut off after 4400 chars, preventing the agent from reading actual site content—headings, project descriptions, pricing, or blog post listings were not accessible.
• ›The agent filled gaps by citing external URLs (GitHub, Bluesky) in its final Sources section ([10], [20])—these were not fetched as content-bearing steps but inferred from search results to provide credibility.
• ›Searches ([5], [7], [12], [13], [16], [18], [20]) returned link titles and snippets (not full article text), which the agent used to infer that hanna.lol is a personal portfolio rather than a commercial service. The search result itself for 'Try To Understand Us' [20] was routed but not shown to contain the article text.
• ›Step [10] (GitHub) and the Bluesky profile mentioned in searches were the primary sources for learning about specific projects (Clover, Volt, Glyph); the site itself did not expose this information in a fetchable form.
• ›The agent correctly noted in its final response that it could not read full pages and that 'most detailed information about her work seems to be on GitHub rather than documented on the website itself'—indicating poor on-site content surface.