Agent successfully gathered comprehensive information about zdawka.com by repeatedly fetching the homepage, which returned rich feature and positioning content. The site proved navigable but required the agent to reconstruct a complete picture from multiple homepage fetch responses, with critical gaps (company background, testimonials, detailed pricing context) absent entirely.

• ›All four fetches targeted zdawka.com/ (homepage), typed from memory—the site did not expose internal navigation links or discovery paths. The agent retrieved the same URL multiple times and received different response summaries, suggesting content was either dynamically generated, paginated, or the fetch responses captured different sections of the same page.
• ›Site delivers core value propositions directly on homepage: step-by-step grading by CKE rules, AI-as-tutor philosophy, personalized learning paths, and flexible submission methods were all present in fetched content, making the core offer legible without deep navigation.
• ›Pricing was provided in fetched content but lacked context: no comparison table, no value per subject, no details on what the trial includes beyond '7-day free'—the agent reported the prices but couldn't substantiate how they compare to alternatives.
• ›No company background, founder story, or social proof (testimonials, reviews, user counts) appeared in fetched responses, despite three separate homepage fetches. This is a significant identity gap for a service asking students to trust AI grading.
• ›Site is tightly scoped to a single, non-global use case (Polish matura exam prep). The agent correctly inferred this is a feature, not a bug, but the site itself did not explicitly state 'we only serve Polish students' or compare itself to international alternatives—the agent had to reason from feature descriptions (CKE rules, exam levels) and domain knowledge.