The agent successfully gathered enough information to explain VayuApps' core business model, target audience, and pricing by combining direct site fetches with web search context. However, the site's heavy reliance on JavaScript-rendered content made it difficult to extract complete information directly from the DOM; the agent had to synthesize details from partial homepage metadata, infer positioning from service page URLs (MVP, nocode, build), and rely on prior knowledge and search results to fill critical gaps around the /build pricing and service details.

• ›Step [0] and [5] (homepage) returned only HTML skeleton with preloaded images and meta tags; actual body content was JavaScript-deferred, so the agent could not read marketing copy, testimonials, or pricing directly from the page source.
• ›Step [6] (sitemap) revealed the site structure and confirmed four main service routes (/mvp, /nocode, /build, /blog), which guided discovery. Steps [8], [9], [10], [13] fetched those pages but similarly returned JS-heavy templates without readable content.
• ›The agent reconstructed pricing ($2K MVP, $10K no-code migration) primarily from search result snippets (step [14]) and inferred positioning (solo developer model, no middlemen) from meta descriptions and search context, not from the fetched pages themselves.
• ›No dedicated /pricing or /about page exists (steps [1] and [2] returned 404); the agent had to assemble the value proposition from scattered page titles, URL structure, and external references.
• ›The /build app builder service exists but its pricing, functionality, and output format remain undocumented on the publicly navigable site; the agent could not explain it beyond its existence.