The agent partially answered the task by assembling a description of Miralo's core offering (AR menu platform for restaurants) from web search results and prior knowledge, but could not locate critical pricing, complete feature set, or differentiation details because the website itself is heavily JavaScript-rendered and does not expose this information through standard HTML fetching. The site's navigation and content pages returned 404 errors, forcing the agent to rely entirely on external sources and inference.

• ›Steps [1], [3], [4], [5], [10] all returned 404 or empty Next.js shells with no readable HTML content — the homepage and all attempted navigation URLs yielded only JavaScript bundles and no text content that could be parsed for answers.
• ›Steps [7] and [8] (web search results) were the only sources that yielded usable information about what Miralo does; these results linked to third-party AR menu guides and competitor comparisons, not Miralo's own documentation or pricing pages.
• ›The agent correctly identified that the website is not machine-readable due to client-side rendering (Next.js); it attempted six direct fetches before switching to web search, finding that the site does not publish pricing, feature lists, or contact information in any accessible form.
• ›The agent had to infer the target market (Spanish-speaking restaurants, Latin America) from HTML locale metadata (es_AR) and code references (MercadoPago integration), not from explicit messaging on the site.
• ›No differentiation, case studies, testimonials, API documentation, or business model details were discoverable — the site does not surface these via searchable HTML, embedded metadata, or structured data.