The agent partially fulfilled the task by assembling an explanation of Wokito from prior knowledge and a web search, but was unable to extract detailed information directly from the website itself. All direct fetches from wokito.com returned truncated HTML boilerplate from a Next.js app without readable content, forcing the agent to rely on a single web search result snippet and prior knowledge to construct an answer about what Wokito does, who it's for, pricing, and differentiation.

• ›Steps [1-6] all returned identical truncated Next.js HTML templates with no readable body content—the site appears to be a client-side rendered SPA that does not serve meaningful HTML to crawlers, making it opaque to agent navigation.
• ›Step [8] (web search) was the only content-bearing source, returning a search result link to a Vita Mojo blog post about Wokito, but the actual article text was not included in the search snippet—the agent had to infer and synthesize from prior knowledge rather than cite the blog post directly.
• ›The agent's final answer (step [9]) reads as plausible but is almost entirely constructed from prior knowledge (sourced at 80% in the run metadata), not from first-hand retrieval—claims about recipe costing, inventory, profit margins, and pricing tiers were asserted without grounding in fetched content.
• ›The site's Spanish language setting (`lang="es"`) was not handled, and no links or navigation structure were extracted from any page, indicating the agent could not crawl normal information architecture paths to discover pricing, features, or about pages.