The agent assembled a workable understanding of Francia Tacos by combining fragments from the official site's meta tags, Wolt and Foodora delivery platform listings, and web search results—but had to work around a JavaScript-heavy homepage that did not expose the menu, pricing, or differentiation directly in fetched HTML. The agent successfully reconstructed the core narrative (what they do, who they serve, price range, differentiators) but flagged several gaps: no accessible menu on the primary domain, an address discrepancy between sources, and missing business context.

• ›Step [1] and [3] (franciatacos.hu homepage) returned only meta tags and partial HTML; the React app did not render full content in the fetch, leaving the '#menu' referenced in the meta description inaccessible. The agent had to pivot to third-party platforms.
• ›Steps [6] (Wolt) and [8] (Foodora) were the only sources that actually returned structured menu, pricing, and review data—neither hosted on the official domain. The agent cited both as sources but noted they contained the real answer, not the .hu site itself.
• ›Step [5] (web search) acted as a router, surfacing the Foodora and Wolt URLs; the search results themselves did not contain full menu or pricing detail, but the links did.
• ›The official website appears positioned for brand/discovery only; transaction and product detail information is outsourced entirely to Wolt and Foodora delivery platforms, making the .hu domain agent-hostile for data retrieval without JavaScript execution.
• ›The agent compensated by building a coherent answer from fragments (meta description + delivery platform data + ratings), but transparently called out what could not be found on the primary domain (menu visibility, address certainty, competitive positioning rationale).