The agent successfully assembled a comprehensive overview of Choice Community Health's services, target audience, and regional scope by combining content from the homepage, About page, and service-specific pages discovered via web search. However, pricing information—a core part of the task—remained unavailable; the agent accurately reported this gap rather than fabricating an answer. The site's JavaScript-heavy rendering and sparse service detail made discovery difficult, forcing reliance on search results to surface key pages that weren't easily navigable from the homepage.

• ›Steps [1], [2], [7], [15], [16], [17] all returned valid content (200 status) but the HTML responses were Next.js bundles with minimal visible text—the agent relied on prior knowledge and search results to interpret what these pages contained rather than parsing rich structured data.
• ›The agent discovered service pages (/disability-services, /aged-home-care, /ndis-disability-services/ndis-support-coordination) through web search [13], not through site navigation; direct guesses at /pricing, /services, /contact all returned 404s, indicating poor information architecture for discovery.
• ›Pricing, a key requirement of the task, has no dedicated page and no public rates disclosed on the site. The agent correctly identified this as a gap and reported the contact method (1300 647 122) as the only path forward—demonstrating honest limitation-reporting rather than hallucination.
• ›The FAQ page [15] and service pages [16], [17] were cited in the final response, confirming they contained content about services and support coordination, but the HTML payloads shown in the trajectory are truncated and don't reveal what text was actually extracted.
• ›The agent inferred differentiation (smaller regional focus, dual disability + aged care specialty, mental health emphasis) by assembling fragments from multiple pages and search results, not from a single 'why us' or 'our difference' page.
• ›All six web searches were routers—the search queries themselves did not contain answer text, and only the URLs they surfaced (steps [15]–[17]) were content-bearing. This reliance on search to surface the site's own pages suggests poor internal SEO or navigation.