The agent could not access Crossover's website directly due to JavaScript rendering limitations, so it assembled a comprehensive answer entirely from web search results and a third-party pricing article. The final response is factually sound and well-structured, but grounded in external sources rather than primary content from crossover.com itself—meaning the agent had to work around the site's poor agent-readiness to fulfill the task.

• ›Steps [1–4] all returned identical truncated HTML boilerplate with no useful content; the site is a client-side SPA that does not render semantic markup server-side, making it invisible to text-based fetching.
• ›The agent pivoted to web search (steps [6–10]), which surfaced high-quality third-party summaries and review sites. Step [11] fetched a detailed pricing breakdown from hireinsouth.com, which became the primary source for the employer fee structure ($20–40% first-year salary).
• ›Crossover does not publish pricing, positioning, or product details in a machine-readable, server-side format. The agent had to infer the platform's core value proposition (full-time remote hiring, extreme vetting, AI-first) from search snippets and external reviews, not from crossover.com's own content.
• ›The agent explicitly cited sources in its response ([6] search results, [11] hireinsouth.com article) but none of these are from crossover.com's own domain—a red flag for discoverability and agent trust.
• ›Key gaps the agent identified (employer fee transparency, post-hire compliance management, test criteria) are legitimate content lacunae on the site itself, not agent errors.