The agent successfully built a comprehensive explanation of Warmtefonds by combining the site's structural discovery (homepage, about page, and sitemap) with external web search results, since the site's Next.js client-side rendering prevented direct extraction of content. The agent retrieved pricing, eligibility, loan terms, and competitive positioning through search results and explicitly cited sources, but had to work around a website that does not expose its core information in a machine-readable or easily fetchable form.

• ›Step [1] (homepage) and step [5] (about page) loaded successfully but returned only HTML scaffolding due to Next.js client-side rendering — no actual content was present in the fetched responses, forcing reliance on external sources.
• ›Step [9] (sitemap.xml) was the only structural asset the site provided; it revealed page slugs like /particulieren, /vve, /energiebespaarlening, and /samenwerken, but the actual page content remained inaccessible through standard fetches.
• ›Steps [13], [14], [15] (product/segment pages) returned the same client-rendered scaffolding, confirming that critical product details (pricing, eligibility, terms) are not server-side rendered or available via HTTP responses.
• ›Steps [17], [18], [20], [21], [23] (web search results) became the primary source of truth — all final-response citations point to external third-party sites (vergelijkonlineenenergie.nl, paraatservice.nl, rekenkamer.nl) rather than warmtefonds.nl itself.
• ›The agent correctly identified that the site's technical architecture (heavy client-side rendering) makes it opaque to standard web agents, and transparently reported missing information (school eligibility, processing timelines, detailed application requirements).
• ›The site is minimally agent-ready: no structured data (schema.org, JSON-LD), no llms.txt, no accessible pricing tables, no comparison documentation — all core business information requires JavaScript execution in a browser environment.