The agent assembled a comprehensive explanation of Capacities by working around the site's JavaScript-rendered content. Direct fetches of capacities.io pages returned only boilerplate HTML without meaningful content, forcing the agent to rely on third-party review sites (aitoolscoop.com, spotsaas.com) and Medium comparison articles for the core task information. The site's Nuxt-based architecture made it opaque to direct machine access, but the agent successfully reconstructed what Capacities does, who it's for, pricing, and competitive positioning through search and secondary sources.

• ›Steps [1], [2], [4], [10] fetched directly from capacities.io but returned only truncated boilerplate Nuxt markup with no usable content—the site's actual information is client-rendered and invisible to direct HTML fetching.
• ›Steps [7] and [8] returned substantive answers: aitoolscoop.com provided a clear one-sentence definition ('object-based personal knowledge management app'), pricing ($11.99/month Pro, free plan with 5GB), and feature overview; spotsaas.com mirrored this with structured pricing information. These secondary sources became the primary content sources.
• ›Step [10]'s fetch of capacities.io/compare/obsidian returned only boilerplate HTML despite a valid 200 status, indicating the comparison page exists but its content is client-rendered—the agent could not extract the comparison from the site itself and had to rely on Medium articles instead.
• ›The agent disclosed five gaps it could not resolve from available sources: team/collaboration features, API/integrations, data export formats, AI capabilities specifics, and offline sync mechanics—these represent genuine blind spots in what the site publishes, whether directly or via secondary indexing.
• ›The site is poor for agent navigation: no /features, /product, or /compare pages returned machine-readable content; pricing and core positioning had to be reconstructed from third-party reviews rather than from capacities.io's own documentation.