opendesk.tech
partial
Claude Code
intent
What does opendesk.tech do and who is it for? Explain it back to me.
6steps
48.0sduration
$0.0832cost
23,734tokens
12 steps6 reasoning steps2 searches
home
search
/en
/en/faq
/en/product
search
71%
answer from your site
75%
answer efficiency
0%
followed site links
answer sources
- from this site71%
- from agent knowledge29%
url discovery
- given in the task25%
- found via web search75%
insight
The agent could not access opendesk.tech (connection refused) but successfully gathered a coherent explanation of openDesk by pivoting to opendesk.eu and supplementary search results. The site was moderately navigable—key information was distributed across homepage, FAQ, and product pages, but pricing details remain deliberately opaque and require direct contact.
- ›opendesk.tech does not resolve; the active project lives on opendesk.eu. The agent discovered this through web search (step 3) after the direct fetch failed, then verified the discrepancy with a second search (step 10). This suggests the target domain may be parked, inactive, or a typo by the user.
- ›Pricing information was split across two pages (FAQ and homepage): Community Edition pricing (free) was found on FAQ (step 7), but Enterprise Edition pricing requires direct contact. The site intentionally withholds custom pricing, making it impossible to give a complete cost picture without human intervention.
- ›Feature and component information was comprehensive but required fetching the dedicated /product page (step 8); the homepage summary alone would have been insufficient. The site structures detailed product info in a separate resource rather than embedding it on the main landing page.
- ›Competitive differentiation was inferred from site messaging (sovereignty, open-source, GDPR) but the site does not publish explicit side-by-side comparisons with Microsoft 365 or Google Workspace. The agent had to synthesize positioning from multiple pages rather than find a ready-made comparison.
- ›The agent appropriately flagged confusion and incomplete findings in its final response, clearly separating what it found from what it couldn't—notably market traction, migration ease, and actual deployment costs. This transparency prevented false confidence in a partial answer.
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