shinkei.systems
success
Claude Code
intent
What does shinkei.systems do and who is it for? Explain it back to me.
7steps
35.1sduration
$0.0390cost
19,320tokens
11 steps4 reasoning steps
home
docs
docs
/technology
/poseidon
/seremoni
/contact
80%
answer from your site
43%
answer efficiency
67%
followed site links
answer sources
- from this site80%
- from agent knowledge20%
url discovery
- given in the task14%
- followed a link57%
- guessed the URL29%
insight
The agent successfully gathered a coherent overview of Shinkei's core business, market positioning, and technology from three accessible pages, but could not locate pricing information despite attempting dedicated routes, and had to signal gaps rather than fill them.
- ›Homepage ([1]), /about ([4]), and /technology ([5]) pages all loaded and contained non-redundant, complementary facts about the company's robotics, market problem, supply chain integration, and business model—these three pages formed a complete knowledge base for the task.
- ›Pricing was genuinely absent from the public site: /pricing returned 404, and neither the homepage nor /about nor /technology contained pricing figures or fee structures. The agent correctly flagged this as a missing piece rather than inferring it.
- ›The agent inferred the B2B freemium model (equipment at no charge, margin on fish buy-back) from site content in [5], not from model memory—this was explicitly stated on the /technology page.
- ›Four common routes (/pricing, /poseidon, /seremoni, /contact) all returned 404, indicating a deliberately minimal site with only core content pages and no dedicated product or contact surfaces—this forced the agent to rely on the three main pages.
- ›The agent explicitly noted what it could not find (pricing, competitive comparisons) and did not fabricate them, maintaining fidelity to what the site actually exposed.
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