The agent assembled a partial understanding of Tertius News by extracting meta descriptions and navigating to working pages (homepage, about, methodology, and a sample story), but could not access full page content or pricing information due to site structure and rendering limitations. The site publishes key information in meta tags and document titles, making it somewhat machine-readable, but lacks a pricing page, detailed positioning, and accessible story examples, forcing the agent to rely on fragments and prior knowledge to construct an answer.

• ›Steps [0], [2], and [27] each returned meta descriptions that directly answered parts of the task: 'They reported. We compared. You decide.' (tagline), 'AI model reads how multiple outlets covered the same story' (how it works), and methodology page existence (transparency claim). These were the only content-bearing wins.
• ›The agent discovered working pages through prior knowledge guesses and sitemap navigation ([22], [23]), not through visible site navigation. The /pricing route returned 404 ([1]), and attempts to find /feed, /stories, /how-it-works all failed, indicating shallow site architecture or incomplete public nav.
• ›The site is poorly agent-ready for the full task: meta tags provide headlines but not substance; the actual story page ([25]) rendered as truncated HTML with no visible comparison data; web search ([8]–[16]) returned almost no results about tertius.news itself, only unrelated products (Termius, DC.gov Tertius, biblical references). The agent had to acknowledge it 'couldn't access the actual story content due to how their pages render.'
• ›Critical gaps remain unsolved: pricing model (no /pricing page), target audience (inferred, not stated), competitive differentiation (agent noted 'not explicitly' stated), and content selection criteria. The agent explicitly marked these in the final response as unable to find.