The agent gathered partial information about se.studio by successfully fetching their homepage, services, about, and work pages in markdown form, but the run failed before synthesizing a final answer due to an API credit issue. From the fetched content, the agent could have explained what se.studio does (brand identity, AI consulting, enterprise web development), who it's for (ambitious brands), and shown examples of their work, but could not find pricing information because the site does not publish it publicly.

• ›The markdown endpoints (index.md, services.md, about.md, work.md) were the only content-bearing sources, returning structured descriptions of the studio's services, team size (seven people), and notable clients (Microsoft, British Airways, Brightline, ArcticDB). These were fetched through prior knowledge guesses rather than discovered via site navigation.
• ›The agent attempted direct guesses at conventional pricing pages (/pricing, /contact, /get-in-touch, /packages) and all returned 404s, suggesting the site either does not publish pricing publicly or requires a contact/inquiry form that was not successfully located. The site's HTML responses were truncated, preventing inspection of any embedded pricing modals or contact CTAs.
• ›The site publishes a machine-readable markdown layer (.md files) alongside its HTML, which is agent-friendly, but relies on prior knowledge discovery rather than explicit navigation hints. The HTML responses were heavily Next.js-rendered and truncated in the fetch results, making it difficult to assess whether pricing or contact information was present in the DOM.