The agent successfully assembled a comprehensive understanding of EzC by combining web search, direct site navigation, and external business directory data. The site itself is heavily JavaScript-rendered and does not publish detailed pricing, service breakdowns, or portfolio content in fetchable HTML; the agent had to work around this limitation by locating key pages (/o-nas, /contact, /audyt, /articles) via search results and external references, then supplementing with blog content and a Polish business directory listing that contained human-readable operational details.

• ›Step [7] (/o-nas) returned a 200 but the HTML was client-rendered only; no textual content about the company was visible in the raw response. Similarly, steps [16], [17], and [27] (contact, audit, and article pages) all returned 200 responses but with minimal server-side content, forcing reliance on search results and external sources.
• ›Search results (steps [13], [21], [25]) were critical routing events that surfaced the correct page URLs and revealed that external directories and search snippets contained more actionable information than the site's own HTML responses. Step [25] revealed the blog article titles and positioning (WordPress vs Next.js) that became a core part of the final answer.
• ›Step [23] (oferteo.pl Polish business directory) was the only external source that provided concrete operational details (location Poniatowa, business name 'EZ Coding Emil Zygas', and implied team size). This was not a site discovery; it was a workaround for missing on-site transparency.
• ›The agent never successfully accessed the homepage content itself; steps [1] and [3] returned 200 but truncated, JavaScript-heavy boilerplate. The final answer relies almost entirely on prior knowledge (46% sourced), search routing (31%), and inferential assembly from fragments rather than on direct page scraping.