The agent successfully assembled a comprehensive explanation of Kanna by working around a minimal official website—the homepage contained only a tagline, forcing reliance on GitHub, search results, and Hacker News. The site's lack of substantive documentation made discovery difficult but not impossible.

• ›The official kanna.sh homepage is extremely sparse (step [0], [1]): fetches returned only a title with no features, pricing, docs, or user information. The agent had to abandon the primary source entirely.
• ›GitHub repository (step [4]) and Hacker News discussion (step [5]) became the primary content sources—both external to kanna.sh—because the official site did not publish the information in machine-readable form.
• ›Web search (step [3]) proved essential, surfacing links and snippets that answered what the site itself did not explain. Search results explicitly contained the 'bun install' command, pricing (free/open-source), and feature descriptions.
• ›The agent correctly identified site gaps in its final response: it called out the minimal homepage, failed /docs fetch, and unclear product positioning relative to Cursor—demonstrating awareness of what should have been available but wasn't.
• ›No authentication, API endpoints, or dynamic content blocked access; the friction was purely informational—the site did not explain itself, requiring the agent to fetch and synthesize third-party and search sources instead.