irods.org
success
Claude Code
intent

What does irods.org do and who is it for? Explain it back to me.

11steps
79.9sduration
$0.6940cost
102,310tokens
17 steps6 reasoning steps6 searches
home
docs
/consortium-membership
search
docs
search
/license
search
search
search
search
80%
on-site discovery
100%
reliability
60%
link following
path origin
  • previous resource60%
  • web search20%
  • prior knowledge20%
insight

The agent successfully assembled a comprehensive overview of iRODS by combining direct site visits with supplementary web searches and prior knowledge, since the main irods.org site returned truncated or incomplete HTML. The agent retrieved meaningful content from the documentation site (step 7: Why iRODS), search results that surfaced use cases and alternatives (steps 12–15), and external references. The site itself was difficult to navigate—direct fetches of /about, /license, and /consortium-membership all returned truncated responses—forcing the agent to rely on documentation URLs, GitHub, and third-party comparisons to answer the task fully.

  • ›Step 7 (docs.irods.org Why iRODS page) was the only primary-source fetch that returned substantive content; it explained the Rule Engine and data virtualization differentiators, foundational to the agent's answer.
  • ›Steps 12–15 (web searches for alternatives, use cases, rule engine, and consortium) were the primary content sources for understanding competitors, target users, and commercial support models—none of which were clearly surfaced on the main irods.org domain itself.
  • ›The main irods.org fetches (steps 1, 3, 4, 10) all returned truncated HTML snippets (~4,400 chars truncated), indicating either rendering issues, JavaScript-heavy content, or incomplete responses—making the site opaque to direct inspection.
  • ›Pricing information was intentionally obscured: the agent correctly identified that consortium membership and support costs are not publicly listed and require direct contact, which it called out as a confusing gap.
  • ›The agent had to synthesize information across four different search queries to build the competitive comparison; the site provided no product comparison matrix or alternatives discussion.
  • ›Prior knowledge and web search (sourced 40% of the run) were necessary to fill gaps left by the main domain; 60% came from prior artifacts (likely cached documentation or external references), indicating the agent was not receiving complete information from irods.org itself.

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