yarooms.com
success
Claude Code
intent

What does yarooms.com do and who is it for? Explain it back to me.

10steps
49.3sduration
$0.7468cost
73,995tokens
16 steps6 reasoning steps5 searches
home
docs
/features
search
search
search
/why-yarooms
docs
search
search
100%
on-site discovery
100%
reliability
40%
link following
path origin
  • previous resource40%
  • prior knowledge60%
insight

The agent successfully gathered enough information to explain YAROOMS' core offering, target market, and differentiation, but encountered friction around pricing clarity and feature-tier mapping. The site publishes essential information (homepage, pricing page, features, about) in fetchable form, but pricing details were incomplete or conflicting across sources, and the agent had to rely on prior knowledge (60%) to fill gaps and construct coherent tier descriptions.

  • ›Steps [1], [4], [10], [11] returned meta descriptions and page structure clearly stating YAROOMS is a workplace management platform for desk/room booking, visitor management, and hybrid work—this was the foundation for 'what they do.' Step [1] also introduced Yarvis AI, which became central to the differentiation narrative.
  • ›Step [3] (pricing page fetch) was cited in sources but the response was truncated (4400+ chars dropped), meaning the agent could not actually read the full pricing structure from the site itself. The final answer's pricing tiers ($99/$399/$899) are stated with confidence but flagged as 'conflicting' and 'not crystal clear'—indicating the agent reconstructed pricing from prior knowledge or search results rather than direct page content.
  • ›The agent had to perform multiple web searches (steps [6], [7], [8], [13], [14]) to find competitor comparisons and fill gaps about Yarvis AI differentiation, suggesting the site does not prominently publish competitive positioning or detailed feature matrices in a machine-readable form.
  • ›The agent explicitly flagged 'Conflicting Pricing Information' and 'What's Actually in Each Tier' as confusing—evidence that even after visiting /pricing, the feature-to-tier mapping and add-on costs were not clearly published or were incomplete in the fetched content.

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