The agent gathered a solid but incomplete picture of MigMig by combining direct site navigation (which returned JavaScript-heavy, content-light HTML) with external web search and third-party review articles. It successfully identified MigMig's core value proposition (undetectable AI interview copilot), target audience, and basic pricing tiers, but the site's minimal content and reliance on client-side rendering forced the agent to assemble answers from fragments—external comparisons, blog posts, and inferred details rather than from authoritative on-site documentation. Several important details (exact feature-per-tier breakdowns, latency specs, macOS timeline, data privacy) remained unavailable even after extensive searching.

• ›Steps [1] and [2] returned only HTML boilerplate and stylesheet links with no rendered text content—the site's Next.js architecture hid all meaningful copy behind JavaScript execution, making direct site fetches unreadable to the agent.
• ›Step [4] (initial web search) returned a Google-indexed landing page title and URL but no snippet with product details; the agent had to pivot to third-party content sources (steps [11], [15], [21]) to build understanding, relying on external blogs and review sites rather than MigMig's own documentation.
• ›Step [11] (Final Round AI blog) and [15] (Hedy AI post) provided the core product description, pricing tiers (Starter free, Pro $4.99, Max $19.99), and feature list—information that should have been readily available on MigMig's own pricing and features pages but was not surfaced by direct navigation.
• ›The site publishes pricing ($4.99, $19.99) and basic positioning ('undetectable AI interview copilot') but does not expose feature matrices, tier comparisons, or technical specifications in a machine-readable or easily scraped form—the agent had to infer these from external references.
• ›Steps [5] and [7] returned 404 errors for /features and /about, indicating minimal site structure; the site offers no dedicated comparison or feature-breakdown pages, forcing the agent to rely on inference and external sources for differentiation.
• ›The agent never successfully retrieved the rendered content of its own /pricing page (step [2] returned unexecuted HTML); this is a critical failure point—the pricing page should have been the authoritative source but was not accessible in actionable form.