jobfish.ing
success
Claude Code
intent

What does jobfish.ing do and who is it for? Explain it back to me.

3steps
24.1sduration
$0.0037cost
13,213tokens
5 steps2 reasoning steps
home
docs
/sitemap.md
100%
answer from your site
100%
answer efficiency
100%
followed site links
answer sources
  • from this site100%
url discovery
  • given in the task33%
  • followed a link67%
insight

The agent satisfied the task by assembling a coherent explanation of jobfishing from three fetched pages (homepage, about, sitemap). The site's information was scattered across multiple pages and lacked depth on business model, data use, and matching methodology, forcing the agent to highlight gaps rather than fill them from memory.

  • ›Homepage and about page contradicted each other on scope: homepage read as Swiss-only, while about page disclosed a four-country footprint (Switzerland, Luxembourg, Germany, Netherlands). The agent correctly surfaced this as confusing rather than reconciling it unsupported.
  • ›The sitemap was fetched and cited as a source but contained no factual content beyond page titles and counts—it was a routing artifact, not substantive. The agent did not use it to answer the task, only to acknowledge pages it did not fetch.
  • ›The about page provided the core workflow (Find, Score, Act) and coverage map; the homepage provided the speed claim and ATS list. No single page contained a complete picture; the agent had to combine both.
  • ›Critical gaps (business model, operator identity, data retention, matching formula weights, partner context) were all acknowledged by the agent as unfetched or unexplained, not bridged with model memory. The agent correctly resisted inventing answers.
  • ›The agent typed the homepage URL from memory rather than discovering it via search, which is why the outcome was tagged 'succeeded_natively'—the site was not surfaced by external discovery, only by direct access and internal link following.

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