The agent successfully assembled a comprehensive explanation of Recraft.ai by combining direct site fetches with web search results, but had to work around incomplete HTML rendering on key pages (pricing, features) and supplement with third-party sources. The site's JavaScript-heavy architecture and truncated responses meant the agent could not retrieve full pricing details, credit costs, or team plan specifics directly from Recraft's own pages, requiring external sources to provide complete information.

• ›Steps [1], [3] (homepage) and [9] (about page) returned truncated HTML—the agent received only meta tags and initial markup, not the full rendered content needed to understand positioning and features. The site is built in Framer/Next.js, which renders content client-side, making server-side fetch unreliable.
• ›Step [5] (pricing page) also returned truncated JavaScript-heavy HTML, forcing the agent to rely on third-party review sites and documentation links discovered via web search (steps [11], [14]) rather than Recraft's own official pricing page. The agent never actually read the live pricing page content.
• ›The agent successfully cited step [14] (docs/plans-and-billing/paid-plans) in its sources, but the trajectory shows this fetch also returned truncated HTML. Credit system details, tier breakdown, and annual discount percentages came entirely from third-party sources ([11] search results and external review sites), not from Recraft's site.
• ›Step [9] (about page) was the only direct site fetch that nominally completed, but remains truncated in the log. The agent's explanation of 'who it's for' and 'what it does' are well-grounded because those positioning statements appear in meta descriptions and early page content, which did render.
• ›The site does not publish clear, machine-readable pricing or comparison information in a fetchable form. The agent had to assemble pricing from external sources and infer differentiators from blog posts and third-party reviews discovered via search.