The agent successfully explored Arcana's website and synthesized a comprehensive explanation of what the product does, who it's for, how it's priced, and how it differs from alternatives. The site was reasonably navigable via direct URL patterns and meta descriptions, though full page content was consistently truncated in fetches, forcing the agent to assemble its answer from incomplete HTML snapshots, meta tags, and inferred structure rather than complete rendered text.

• ›Steps [1], [3], [6], [7], [10] returned HTML with substantive meta descriptions and truncated body content that collectively conveyed: Arcana is a terminal-native AI workbench, pricing is free-locally-plus-cloud-infra, it supports multi-provider models, and features include memory, tools, skills, and governance. The agent reconstructed coherent positioning from these fragments without ever receiving a complete page render.
• ›The site exposed key information through meta tags (title, description, keywords) which were highly accessible and informative—this was the agent's primary content source. No explicit comparison page, security documentation, or detailed feature definitions were discovered; the agent had to infer differentiation from hints (terminal-native vs. web-based, open-source core, no model markups, multi-provider).
• ›The agent correctly identified gaps that could not be bridged by the available content: 'governed sessions' and 'verifiable execution' are marketing terms never operationally defined on the site; OpenCode framework is unexplained; scoped tools/permissions and skills vs. tools distinctions are mentioned but not clarified; Enterprise tier details are incomplete. The site's architecture (URL structure, meta descriptions) supported discovery but the rendered content was either truncated or missing depth.
• ›Web search [9] returned irrelevant results (unrelated Arcana properties) and was not used as a content source. The agent relied entirely on direct site fetches and prior knowledge (11%) for its final answer, indicating the site's own pages are the primary—and somewhat insufficient—information source.