The agent successfully assembled a comprehensive overview of Gradium's offerings, pricing, and competitive differentiation by relying almost entirely on web search results and their snippets, since the website itself returned only minified Next.js markup without readable content. The site's pages (/, /pricing, /about/who-we-are) were not directly parseable, forcing the agent to extract information from search engine metadata and referenced blog/comparison pages, which fortunately contained substantive detail.

• ›Steps [1], [3], [4], [9] fetched Gradium's core pages directly but returned only minified HTML with no extractable content — the site's Next.js architecture rendered pages client-side, making them opaque to the agent.
• ›Steps [5], [8], [10], [12] performed web searches that returned snippet previews and URLs; these search results were the primary content source, surfacing blog posts, comparison guides, and the startup program page that contained the actual answers.
• ›Steps [6], [7], [11] fetched pages discovered via search (about/who-we-are, blog/gradium, content/cartesia-alternative) and these were explicitly cited in the final response's Sources section, indicating they returned readable content (likely because they are content-heavy blog or marketing pages, not the homepage SPA).
• ›The agent had to bridge a critical gap: direct navigation to /pricing and / yielded no machine-readable data, so it turned to search-based discovery of /content/* pages and blog URLs that actually contained pricing tiers, feature comparisons, and use-case details.
• ›All seven cited sources in the final response point to Gradium's own domain, showing the site does publish the necessary information—but not in a way the homepage or standard marketing pages expose to automated traversal; it required search or deep linking to content and blog sections.
• ›The agent notes in its own candid disclosure: 'Gradium's website uses Next.js with heavily minified code, so I couldn't read the actual page content directly.' This is an honest reflection that the site's architecture created friction but was ultimately overcome via search fallback.