hamelaket.co.il
success
Claude Code
intent

What does hamelaket.co.il do and who is it for? Explain it back to me.

13steps
66.9sduration
$0.6097cost
123,132tokens
21 steps8 reasoning steps4 searches
home
/pages
docs
docs
/shop
/products
/categories
search
search
search
/%d7%9e%d7%90%d7%a8%d7…
/%d7%9e%d7%90%d7%a8%d7…
search
78%
on-site discovery
44%
reliability
33%
link following
path origin
  • previous resource33%
  • web search22%
  • prior knowledge44%
insight

The agent successfully assembled a comprehensive explanation of Hamelaket by combining fragments from the homepage and product pages, supplemented by web search context. The site's core identity (artisan food marketplace) and pricing were discoverable, but operational details like shipping costs, minimum orders, and subscription models remained opaque—requiring the agent to flag these gaps explicitly. Site navigation was poor (multiple 404s on assumed paths), forcing reliance on search-discovered product URLs and prior knowledge to fill in the business model.

  • ›Step [1] (homepage) provided the mission statement and founding story ('started during COVID to support Israeli producers'), but offered no concrete product catalog, pricing menu, or FAQ. The agent had to search to find actual product pages.
  • ›Steps [16] and [17] (product pages discovered via web search, not site navigation) were the only sources that revealed actual pricing (₪529.90, ₪299.90, ₪29.90+). The site does not expose a browsable catalog or pricing page via standard URLs (/shop, /products, /pricing all returned 404).
  • ›Step [5] (/about page) returned successfully but the response was truncated in the trajectory; the agent's final answer references no specific content from it, suggesting it provided minimal differentiation details beyond what the homepage offered.
  • ›The agent correctly identified that subscription models, shipping costs, bulk pricing, return policies, and producer roster details are not published on accessible pages—a major usability gap for B2B and repeat-purchase customers.
  • ›44% of fetch sources came from 'prior knowledge' (standard path guessing), indicating the site's URL structure is not intuitive. Web search (22%) and prior artifact (33%) were needed to locate actual product pages, suggesting the site lacks internal navigation or sitemap discoverability.
  • ›The site is RTL Hebrew-only with no English alternative, and product URLs are URL-encoded Hebrew text, making them difficult to predict or reverse-engineer—agent had to rely on search results to find valid product paths.

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