The agent successfully assembled a comprehensive understanding of AetherUI by combining GitHub repository metadata (README, package.json, contributing guide) with web search results, since the main website itself is heavily client-rendered and does not expose semantic content in static fetches. The site proved difficult to navigate programmatically: direct page fetches returned only HTML boilerplate, forcing the agent to rely on external sources (GitHub) and prior knowledge to answer questions about pricing, components, and differentiators.

• ›Step [12] (GitHub README) was the primary source for understanding AetherUI's core purpose: 'beautifully designed animated components' inspired by shadcn and motion-primitives. This content was not available from the main website's static HTML.
• ›Step [18] (package.json) revealed the tech stack (Next.js, Framer Motion, Tailwind CSS, Lucide React) and confirmed the project's open-source nature and development dependencies—critical details absent from publicly accessible website content.
• ›Step [20] (contributing guide) clarified the copy-paste installation model and confirmed use of pnpm and Framer for animation, information not surfaced by the website itself.
• ›The main website at aetherui.in/ (steps [1], [4], [6], [7], [14], [16]) returned only Next.js framework HTML with no semantic content about pricing, features, or positioning. The agent had to infer that the site is client-rendered and pivot to GitHub as the authoritative source.
• ›Web searches (steps [3], [9], [10], [13], [15], [17], [19], [21]) did not return pricing or feature details specific to AetherUI; they mostly redirected back to the main site or surfaced comparisons with other libraries.
• ›The site's GitHub link is not prominently discoverable from the static HTML; the agent had to perform a targeted GitHub search to locate the authoritative repository.
• ›Pricing is not documented anywhere on the website or in search results—the agent correctly inferred it from the open-source MIT license in the README, but this required external knowledge rather than explicit disclosure.