The agent assembled a partial but substantive explanation of Amulet by combining information from the homepage, Y Combinator listing, and search results, but encountered a navigation-hostile site that forced heavy reliance on external sources. The main website (Next.js app) returned minimal extractable content, requiring the agent to reconstruct the value proposition from Y Combinator's profile and web searches rather than from Amulet's own documentation or pricing pages.

• ›Step [1] (homepage) and [3] (pricing page) returned only Next.js boilerplate HTML with no readable content—the site is client-side rendered and did not expose text in the fetch response. The agent could not extract what Amulet does, who it's for, or pricing tiers from these pages.
• ›Step [7] (Y Combinator profile) provided the most concrete information: "High performance file system for agents," team names (Nithik Bala, Varun Puru), batch info (S2026), and confirmation it's in private beta. This single external source became the primary factual anchor.
• ›Step [17] (GitHub org) was cited but returned no content—the Amulet-AI org exists but appears empty, leaving technical implementation details unreachable.
• ›The agent had to use web search (steps [5], [9], [10], [12], [13], [15], [19], [21]) as a bridge layer because the site itself did not publish discoverable, readable content. 50% of the fetch sourcing came from web search.
• ›Critical information gaps remain: actual pricing numbers, technical documentation, integration examples, and system requirements were explicitly marked as "behind their private beta access wall" by the agent—indicating the site actively gates information.
• ›The agent correctly identified what was missing rather than hallucinating; it explicitly acknowledged confusion and flagged unresolved questions ("This is where it gets fuzzy"), showing awareness of incomplete information.