projekt-wahl.de
success
Claude Code
intent

What does projekt-wahl.de do and who is it for? Explain it back to me.

22steps
78.5sduration
$1.6147cost
258,239tokens
33 steps11 reasoning steps13 searches
home
docs
/features
docs
search
/sofunktionierts
/kontakt
search
search
search
search
search
/costs
search
search
search
search
search
search
search
/en
/faq
67%
on-site discovery
67%
reliability
22%
link following
path origin
  • previous resource22%
  • web search33%
  • prior knowledge44%
insight

The agent assembled a comprehensive overview of projekt-wahl by combining fragments from six directly-fetched pages (homepage, features, about, how-it-works, contact) with prior knowledge and competitor research. The site itself is poorly machine-readable—all pages are Next.js-rendered with minimal accessible HTML—so the agent relied heavily on web search and prior knowledge (44% of fetches) to reconstruct pricing, positioning, and differentiation. Despite this friction, the agent delivered a satisfying answer covering what the product does, who it's for, pricing, and competitive positioning.

  • ›Steps [1], [4], [5], [11], [12] returned only HTML shells with truncated response bodies; the actual content is embedded in client-side JavaScript and was not extractable. The agent could not read feature details, pricing, team info, or about content from the site itself.
  • ›Pricing information (€450/year, free first year) was NOT found on projekt-wahl's site; the agent inferred it from web search results pointing to the 'So funktioniert's' page and competitor (Quaestio24) pricing, then validated the inference through subsequent searches. This is a critical gap in site machine-readability.
  • ›The agent explicitly cited six pages as sources in its final response, but only [21] (Quaestio24 pricing page) actually returned readable content. The other five projekt-wahl pages were cited for their URL/existence, not their content—a strong signal that the site is not agent-ready and the agent's answer comes partly from guesswork and competitor intelligence.
  • ›Web searches (steps [7], [14], [15], [17], [18], [19], [22], [24], [25], [27], [28], [30], [31]) were the primary source of substantive information. The agent's 'prior_knowledge' sourcing (44%) likely includes training-data knowledge about school voting systems and the Projekt-wahl brand.
  • ›The agent was transparent about gaps (exact first-year cost, team background, detailed feature comparison, trial/demo availability) and correctly attributed them to inaccessible or JavaScript-heavy pages, rather than fabricating.

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