certificates.dev
success
Claude Code
intent
What does certificates.dev do and who is it for? Explain it back to me.
19steps
75.6sduration
$1.1515cost
165,447tokens
22 steps3 reasoning steps8 searches
home
docs
/certifications
home
docs
/faq
search
docs
search
search
docs
search
search
search
search
/review/certificates.dev
search
/company-certification
/partnerships
55%
on-site discovery
55%
reliability
27%
link following
path origin
- previous resource27%
- web search45%
- prior knowledge27%
insight
The agent successfully assembled a comprehensive overview of Certificates.dev by combining official site pages with blog content and support documentation, but had to work around a missing or inaccessible main pricing page. The site's information is scattered across multiple pages (company certification, partnerships, blog posts, support docs) rather than organized into a coherent public-facing structure, requiring the agent to synthesize fragments into a coherent narrative.
- ›Step [9] (company-certification page) and step [10] (partnerships page) returned HTML but the agent extracted meaning from them via prior knowledge and inference rather than from explicit text content shown in the fetches.
- ›Step [11] (Angular pricing blog post) was the only content-bearing fetch that directly addressed pricing comparisons; the agent cited it and extracted tier information from it, but exact price points had to be pieced together across multiple sources.
- ›Step [14] (support doc on exam format) clearly stated exams combine 'multiple-choice questions and practical coding tests,' providing concrete differentiation from alternatives.
- ›Steps [7], [8], [12], [13], [16], [17], [18], [19] were search-driven discovery; the agent could not find pricing or positioning on the main domain—common pages like /pricing, /about, /certifications returned 404s ([1], [2], [3], [5]).
- ›The site appears to be a Nuxt SPA with most content not indexed in URL structure; pricing details exist in blog posts and support docs but not in a dedicated, machine-readable pricing endpoint or page.
- ›The agent had to rely on 45% web search and 27% prior knowledge to fill gaps left by the 27% of information from the site's own pages, indicating the site does not self-serve this task well.
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