Agent successfully built a comprehensive understanding of Zigo by fetching the homepage multiple times (which surfaced product description, audience, pricing, and philosophy) and augmented positioning context through web search on competing Chinese learning apps. The site was navigable for core facts but forced workarounds: the pricing page returned HTTP 429, so pricing came from homepage content; the agent had to type URLs from memory rather than discover them via site navigation.

• ›The homepage (step [1]) was the single authoritative source for what Zigo does, who it serves, and how it's priced—all task requirements were present in one fetch, but the agent had to re-fetch it three times (steps [1], [3], [4]) as if navigating different sections, suggesting the site does not expose distinct, linkable pages for pricing, audience, or features despite the agent's expectation.
• ›The pricing page (step [2]) was rate-limited (HTTP 429) with no fallback—the agent retrieved pricing from the homepage description alone, not from a dedicated pricing resource, indicating either aggressive rate-limiting or missing dedicated pricing page.
• ›The /about page (step [5]) was successfully fetched and provided founder background and philosophy, but was discovered via agent memory (typed URL), not via site navigation, suggesting limited internal linking or discovery paths.
• ›Web search (step [6]) was used to contextualize Zigo within the competitive landscape (Pleco, Anki, Outlier, HanziFeed, Skritter), but this was external research, not site-provided comparison—Zigo does not explicitly differentiate itself from competitors on its own pages.
• ›The agent's confusions section accurately reflects real gaps: the pricing page was inaccessible, competitor comparison was implicit rather than explicit, and positioning relative to Outlier (which is itself a Pleco add-on) was ambiguous from site content alone.