roboskin.ai
success
Claude Code
intent
What does roboskin.ai do and who is it for? Explain it back to me.
3steps
23.8sduration
$0.0047cost
14,071tokens
5 steps2 reasoning steps
home
/research-services
/editorial-policy
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
Agent successfully retrieved and synthesized a complete answer to the exploratory evaluation task. The site is well-navigable for core value prop (homepage clearly lists resources and services), but deliberately sparse on team, ownership, and competitor context — gaps the agent correctly identified and flagged.
- ›Homepage [0] front-loaded the core offer (research index, datasets, sensors, benchmarks, guides, and paid research services), requiring only 2 additional fetches to fill pricing and methodology gaps — minimal friction for an open-ended discovery task.
- ›Pricing was not surfaced on the homepage; agent had to navigate to /research-services [2] to find the $1,500 pilot fee and custom project bands. The site does not publish per-service pricing on the main entry point.
- ›Editorial policy [3] was critical for understanding differentiation (primary-source-first, no sponsored conclusions, AI tools not sources); this is a strength but buried behind a policy link rather than highlighted on the homepage or services page.
- ›The site explicitly declines to compare itself to alternatives or name competitors; agent correctly noted this absence and did not speculate. No model memory was needed to answer the task because the site's self-description was complete enough.
- ›Team and ownership information is minimal (founder Steven Yang named in policy, no About page or investor/funding disclosure); agent flagged this gap correctly. The site's deliberate transparency on methodology offsets this omission for the target audience (researchers and technical teams), but limits agent ability to assess organizational credibility.
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