The agent assembled a partial but usable explanation of odiga.io by fetching the homepage and following a search-discovered board example, but could not find pricing, business model, or company background information — these sections relied on noting their absence rather than retrieving facts. The site exposed its core curation and discovery features directly but buried essential business/positioning context.

• ›Step [1] and [4] (homepage fetches) provided the foundation: geographic scope, recognition categories (Michelin, TV shows, heritage designations), and the board/curation feature. This core answer came directly from the site's public homepage.
• ›Steps [2] and [3] (404s for /pricing and /about) immediately revealed critical gaps — the site has no discoverable pricing page or company information section, forcing the agent to declare uncertainty rather than guess.
• ›Step [7] (search for 'odiga Korean Japanese restaurant curation platform') returned a search snippet describing odiga as 'an opinionated index for Korean mat-jib' — this characterization appears in the agent's final answer but was extracted from a search result, not the site's own homepage, indicating the site may not clearly state its positioning on its own pages.
• ›Step [8] (fetching a specific board URL from search results) showed the user-created curation feature in action but was discovered via search, not site navigation — the homepage did not surface a link to example boards or feature documentation.
• ›The agent correctly identified that the platform is primarily Korean/Japanese-language and oriented toward those markets, explaining the sparse English-facing business documentation, but this observation relies on model inference about missing content rather than explicit site statements.