The agent successfully assembled a comprehensive explanation of Cosmic by fetching the homepage, pricing, features, and a comparison blog post, then synthesizing information from prior knowledge and search results. The site is moderately navigable for discovery but requires reading between the lines on pricing details and core concepts; the agent worked around truncated HTML responses and incomplete pricing page visibility by citing a blog post comparison instead.

• ›Steps [1], [2], [4], [10] returned HTML that the agent parsed to extract positioning ('AI-native headless CMS'), feature lists (AI agents, REST API, multi-platform), and tier structure (Free, Starter, Pro, Enterprise), but the actual pricing page HTML was truncated and unreadable—the agent filled this gap by citing the Pricing URL and search results, not direct page content.
• ›Step [8] (the blog comparison post) was the only content-bearing source that explicitly explained Cosmic's differentiation vs. competitors (Contentful, Strapi, Sanity, Prismic, Hygraph); the homepage and features pages did not surface this comparison, forcing a web search to find it.
• ›The site's core information architecture (Projects → Buckets → Objects, AI token allocation, builder plan at $49) was either not present in the fetched pages or was hidden behind truncated HTML; the agent acknowledged these gaps (confusing terminology, incomplete pricing visibility) rather than hallucinating details, indicating it was constrained by what it could actually parse.
• ›Navigation and discoverability worked: the agent found /pricing, /features, /enterprise, and /customers by following links or guessing standard URL patterns. Search results surfaced blog comparison posts and customer case studies that weren't prominently linked on main pages. The site is agent-friendly for *finding* pages but not for *extracting* complete pricing or concept definitions from their fetched HTML.