The agent assembled a comprehensive understanding of Ashley's Cafe by working around complete site inaccessibility (Cloudflare 403 blocks on all direct domain pages) and relying entirely on web search results and snippets. The agent successfully gathered enough information to explain what the business does, who it serves, pricing tiers, and differentiation factors—but had to acknowledge significant gaps (full menu, complete origin story, competitive analysis) that would have been accessible if the site's own pages were reachable. The site's lack of direct agent accessibility forced a heavy dependency on third-party aggregators and search snippets.

• ›All direct fetches to ashleys.cafe/* returned 403 Cloudflare blocks; the agent never retrieved content directly from the domain despite multiple attempts at /, /menu, /story, and /page/faqs. The entire answer was built from web search results.
• ›Search results [3, 14, 16, 17, 21] yielded snippets and third-party listings (Yelp, TripAdvisor, DoorDash, App Store, Richmond SF blog) that surfaced menu items, pricing, app features, and owner narrative—none of which came from the site's own pages.
• ›The agent successfully inferred business positioning, menu uniqueness (bulgogi cheesesteak, Korean-fusion items), app-first strategy, and owner authenticity from scattered sources, but had to explicitly note that the full menu page, 'Our Story' page, and detailed competitive comparison were inaccessible.
• ›The site does not publish machine-readable metadata (JSON-LD, structured data) discoverable via search; the agent had to assemble fragmented information from review aggregators and blog posts rather than canonical sources.
• ›Pricing data came from third-party delivery platforms (DoorDash, Uber Eats) referenced in search results, not from the site itself—creating a dependency on indirect sources and potential staleness.