questili.com
success
Claude Code
intent

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

19steps
74.3sduration
$1.0828cost
182,012tokens
28 steps9 reasoning steps5 searches
home
/work
docs
docs
/products
/services
search
/studio
/contact
search
search
search
sitemap
docs
docs
docs
/team
search
/api/v1/pages
100%
on-site discovery
57%
reliability
57%
link following
path origin
  • previous resource57%
  • prior knowledge43%
insight

The agent successfully gathered enough information to provide a coherent explanation of Questili's business model, target audience, and positioning, but worked around significant site navigation and content-rendering barriers. The website is heavily JavaScript-rendered, making direct content extraction difficult; the agent pieced together the answer from sitemap discovery, strategic URL guesses, and prior knowledge rather than from richly populated, machine-readable responses. Pricing remained fundamentally inaccessible—no public pricing page exists—which the agent correctly identified as a confusing gap.

  • ›Steps [1], [5], [12], [21], [22], [23], [25] all returned 200 status but with heavily truncated HTML/Next.js boilerplate; actual text content was not present in the fetches, suggesting heavy client-side rendering. The agent had to infer meaning from page titles, URL structure, and meta tags rather than body text.
  • ›Step [18] (sitemap.xml) was the highest-value discovery tool, revealing the site's internal structure (about, team, resources pages, side-quests, main-quests). This allowed the agent to navigate confidently to resource pages that presumably contained explanatory content, but the agent still could not access that content through fetches.
  • ›The agent's final answer drew heavily on prior knowledge and web search context (steps [9], [13], [15], [16], [26]) rather than direct site content—the fetches were mostly used to confirm that pages existed and had 200 status, not to extract substantive information. The 57% 'previous_artifact' sourcing reflects this reliance.
  • ›Pricing was intentionally not published; no /pricing route exists (step [4] returned 404). The agent correctly diagnosed this as requiring direct contact, but this represents a genuine gap in agent-navigable information rather than a rendering or discovery issue.
  • ›The site's structure (team, about, resources) and branding language ('quests', 'founders', 'wonder') were discoverable through URL patterns and sitemap, but the actual content explaining methodology, services, and differentiators was trapped behind client-side JavaScript and unavailable to server-side fetching.
  • ›Web search queries (steps [9], [13], [15], [16], [26]) returned mostly irrelevant results (Quest Software, Qt pricing, etc.) due to the domain name's ambiguity, forcing reliance on the agent's prior knowledge and inferential reasoning rather than corroborating external sources.

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