The agent successfully assembled a comprehensive explanation of Koru's core offering, pricing, and positioning by fetching the homepage three times (which returned well-structured overviews) and supplementing with web searches about competitors. The site itself presented information clearly enough to answer the main task without authentication barriers, though the agent had to infer some positioning details and worked around a blocked G2 competitor link.

• ›Steps [0], [1], and [2] all fetched the same URL (koru.careers/) but returned different structured sections (overview, differentiation, use cases), suggesting the agent's responses synthesized different facets of a single landing page rather than receiving distinct page content—this indicates strong semantic summarization but raises questions about how the page actually segments its content on first fetch.
• ›The site explicitly surfaced its own differentiation story (privacy-first, proactive journaling habit, pattern recognition, evidence over polish) without requiring the agent to infer it from scattered fragments, making the identity layer well-served.
• ›Pricing information (€20/month, 14-day free trial, 5 Application Packs included, €3 per additional pack) came directly from site content in step [0], complete and unambiguous—no guessing required.
• ›The agent correctly identified a gap: the site lacks third-party testimonials and user reviews, relying only on hypothetical scenarios and founder context. This was surfaced by the site's actual content (or absence thereof) in step [2], not inferred from model memory.
• ›Web searches [3] and [6] returned general competitor lists but did not surface direct competitors to Koru's specific journaling+STAR-generation model; the agent bridged this by noting Hiration, Wobo, and Kickresume as 'traditional resume builders' that differ in philosophy rather than feature parity, drawing partly on search results and partly on the site's own positioning language.