The agent assembled a comprehensive overview of Soijeong by combining shallow fetches of the site's core pages with extensive web search—ultimately satisfying the discovery task, but working around significant friction from the site's rendering architecture and missing critical information like pricing. The site publishes service descriptions and portfolio evidence but obscures structural content behind JavaScript and offers no transparent pricing or detailed competitive positioning.

• ›Content-bearing fetches [1, 3, 7, 9, 11, 21, 23] returned HTML shells with heavy JavaScript (all truncated at ~4400 chars), making the agent unable to extract text-layer positioning, pricing, or service details directly from soijeong.com—the site requires client-side rendering to display its core messaging.
• ›The agent discovered Soijeong's differentiated value (SOI.LAB 3D, healthcare specialization, AI integration) almost entirely from web search results [13, 15, 25, 33, 37] rather than the site itself; these searches revealed third-party context (GoodDesign awards, partner integrations, client sectors) that the site did not surface in its own HTML.
• ›Pricing remained completely inaccessible—dedicated /pricing route returned 404 [5], and no search results surfaced rate cards or package costs; the agent disclosed this gap explicitly as a missing artifact, acknowledging the site's reliance on direct contact-based sales models.
• ›The /portfolio [9], /services [21], and /faq [23] pages exist and returned 200s, signaling structural completeness, but their actual content was unavailable in fetched responses, forcing the agent to rely on external agency rankings and partner announcements to infer service scope.
• ›The site is positioned for Korean-language readers (lang='ko', Naver verification, mentions of KRW pricing contexts); language/localization barriers were implicit in the traversal but not explicitly blockers to understanding what the company does.