keip.kpi.ua
success
Claude Code
intent

What does keip.kpi.ua do and who is it for? Explain it back to me.

9steps
128.0sduration
$0.7628cost
35,191tokens
11 steps2 reasoning steps
home
home
home
/pro-kafedru
/abituriyentu
home
/%d0%bf%d1%80%d0%be-%d…
/%d0%b2%d1%81%d1%82%d1…
/%d0%be%d1%81%d0%b2%d1…
80%
answer from your site
56%
answer efficiency
100%
followed site links
answer sources
  • from this site80%
  • from agent knowledge20%
url discovery
  • given in the task11%
  • followed a link89%
insight

The agent successfully gathered enough information to explain KEIP's mission, audience, and differentiators, but pricing remained opaque—tuition amounts were referenced but not legible. The site is organized and content-rich for admissions purposes but lacks marketing-style positioning and competitive context.

  • ›Step [7] ('про-кафедру') was the richest source for differentiators: it exposed the 1992 founding, faculty roster (7 professors, 17 associate professors), research groups, and practical industry integration—facts the agent used to build the 'What Makes Them Different' section.
  • ›Step [8] (bachelor's admission page) explicitly mentioned tuition costs exist but acknowledged 'the specific tuition amounts are not legible'—a clear site friction point: pricing information is embedded in an image rather than text, making it inaccessible to the agent and likely to international applicants.
  • ›Steps [1] and [3] provided overview structure (mission, programs offered, menu organization) but lacked detail; the agent had to traverse deeper pages [7], [8], [9] to answer the substantive questions, indicating the homepage is a router rather than a content source.
  • ›Step [9] (educational programs) listed program offerings (Economics, Commerce & Trade specializations) but did not provide curriculum details, career outcomes, or employer partnerships—gaps the agent flagged in the final response's 'missing' section, relying on model inference rather than site claims.
  • ›The site uses Ukrainian-language URL slugs throughout; the agent successfully navigated this by URL-encoding and following links rather than guessing, showing good adaptation but also indicating the site is not optimized for cross-language automated discovery.

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