The agent successfully gathered a comprehensive understanding of the service by reading the homepage (which provided minimal detail) and following to the GitHub repository (which contained substantial technical and business documentation). The site itself was sparsely informative, forcing heavy reliance on the external GitHub docs to construct a complete answer.

• ›The homepage (steps [1]–[2], both identical fetches) was minimalist—offering only a bilingual room/language selector and a GitHub link. No pricing, feature list, or target audience was disclosed on the primary site.
• ›Steps [3]–[4] fetched the GitHub repository root and README, which contained the majority of substantive information: architecture, pricing model ('a few dollars per hour per stage'), target audience (conference organizers), and competitive differentiation. This external resource became the primary source of truth.
• ›Pricing information was discoverable only via GitHub docs (README), not on the on-site homepage. The agent correctly inferred and cited the cost structure ('based on Google Gemini API usage') from the README, but noted this absence as a usability gap.
• ›The agent identified three information gaps: (1) pricing ambiguity on the main site, (2) unclear scope of supported languages and rooms, and (3) no explicit competitor comparison in the docs. These reflect site design choices (sparse homepage) rather than agent failures.
• ›Navigation was straightforward but required external knowledge: the agent typed the homepage URL from memory and then followed the GitHub link. The site itself surfaced only one outbound link, making discovery of full feature/pricing details contingent on following off-site documentation.