maya-projects-nine.vercel.app
partial
Claude Code
intent

What does maya-projects-nine.vercel.app do and who is it for? Explain it back to me.

8steps
50.4sduration
$0.3975cost
37,309tokens
10 steps2 reasoning steps2 searches
home
home
home
/signup
docs
search
docs
search
100%
answer from your site
100%
answer efficiency
80%
followed site links
answer sources
  • from this site100%
url discovery
  • given in the task17%
  • followed a link67%
  • guessed the URL17%
insight

The agent could not fully satisfy the task because the site provides only minimal, login-gated information. It extracted what was publicly visible (core purpose: workshop/activity management with customer, scheduling, and payment tools), but found no pricing, competitive positioning, or company details—and had to explicitly call out these gaps rather than fill them from external sources.

  • ›The site is functionally a closed login screen with no public-facing marketing, pricing, features, or differentiation content. Every navigation attempt (steps [5], [7]) returned the same login interface, indicating no indexable pages exist beyond authentication.
  • ›The agent correctly avoided filling gaps with model memory or search results. Web search (steps [6], [8]) found unrelated products (Vercel pricing, Autodesk Maya, Israeli mechanical engineering firms) and explicitly returned no information about the target domain, yet the agent did not fabricate answers.
  • ›The Hebrew language and activity-management focus were the only substantive facts the site provided across all fetches; the agent consistently attributed these to site content (steps [1]–[5]) with no speculation about Israeli market positioning or user base beyond what the language choice implied.
  • ›The agent discovered most URLs by typing from memory ([1], [4] signup, and implied attempts at /pricing and /about) rather than following site-published links, indicating the site surfaces no navigation structure—a critical failure for discoverability.
  • ›The final response correctly granularized the answer as partial, with explicit ❌ markers for missing sections, and cited only the target domain as a source rather than padding with external search results that did not address the actual product.

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