The agent successfully assembled a comprehensive explanation of Tregovia by discovering the correct domain (tregovia.com, not tregova.com) through web search, then fetching the homepage, pricing page, and comparison blog posts. The site's heavy client-side rendering made direct content extraction difficult, so the agent relied on web search snippets and inferred structural details from comparison articles; pricing and positioning were partially visible but feature details and integrations remained opaque.

• ›Step [14] (tregovia.com homepage) and [16] (pricing page) returned Next.js-rendered HTML with minimal extractable text—the agent could not read structured pricing or feature data directly from these responses. The responses were truncated at 4400 chars, suggesting heavy obfuscation of content in the raw DOM.
• ›Steps [19], [20], and [22] were search results and a comparison blog post that provided the most actionable intelligence: pricing structure (EUR 47 base + modules), EU/GDPR positioning, and differentiation vs. SimplePractice, Booksy, and Digitail. Web search snippets and blog article summaries were richer than the site's own fetched pages.
• ›The agent discovered tregovia.com only via web search (step [6] onwards), not by navigation or inference from tregova.com. The original domain appears to be either inactive or a typo, yet the agent successfully pivoted to the live product.
• ›Feature modules, integrations, support details, data migration, and onboarding information were not discoverable through fetched pages—the agent explicitly flagged these gaps. The site does not publish a machine-readable feature matrix, pricing matrix, or API documentation on public pages.
• ›The site is structured as a Next.js SPA with blog/comparison content (which rendered in search results and as HTML) but core product UI (homepage, pricing UI) rendered client-side with minimal static content. This design is agent-unfriendly for direct introspection but moderately friendly via search-indexed blog articles.