kendasuite.com
success
Claude Code
intent

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

15steps
60.6sduration
$0.5345cost
68,808tokens
19 steps4 reasoning steps3 searches
home
docs
docs
search
/en
search
/es
search
/features
sitemap
.well-known
llms.txt
/agenda-para-psicologos
/alternativa-flowww-ag…
robots.txt
100%
on-site discovery
58%
reliability
75%
link following
path origin
  • previous resource75%
  • prior knowledge25%
insight

The agent successfully completed the task by discovering and synthesizing information from two machine-readable artifact files (pricing.md and llms.txt) that the site deliberately published for AI consumption. Despite the site's minimal HTML content and a series of failed navigation attempts on conventional paths (/pricing, /about, /features), the agent located the core product, pricing, target market, and differentiation through the sitemap and well-formed markdown/text resources. The site was moderately navigable once the agent shifted strategy to probe for machine-readable endpoints.

  • ›Steps [14] and [15] (pricing.md and llms.txt) were the only content-bearing fetches; they contained all substantive information about what Kenda does, its pricing model, target market, feature set, and positioning versus competitors. Both files returned 200 with structured, complete information.
  • ›The site's homepage (step [1]) returned only client-side-rendered HTML with no visible text content; conventional navigation paths (/pricing, /about, /features, /en, /es) all returned 404s. The agent had to infer the sitemap existence and then find pricing.md and llms.txt via that route—these were not discoverable from normal site navigation.
  • ›The sitemap (step [11]) was the critical pivot point: it explicitly listed pricing.md and llms.txt as valid URLs, signaling the site owner's intent to make machine-readable endpoints available for AI agents. The robots.txt (step [12]) also explicitly welcomed AI crawlers, confirming the site was designed with agent accessibility in mind.
  • ›Specialty landing pages (e.g., /agenda-para-psicologos, step [16]) also returned client-side-rendered HTML with no extractable content, limiting the agent's ability to verify specialty-specific feature claims without user interaction.
  • ›The agent's final response was comprehensive and accurate, but relied on two narrow content sources rather than a diverse site structure. No testimonials, case studies, detailed analytics documentation, or company background were accessible—the site is deliberately lean and sales-activation-focused (WhatsApp).

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