The agent successfully assembled a comprehensive overview of Flatiron School by combining direct site fetches with web search results, since the site's client-rendered pages did not expose curriculum or pricing details in the HTML. The agent gathered what it was asked for—what they do, who it's for, pricing, and competitive differentiation—but had to rely heavily on search results and prior knowledge rather than the site's native content, indicating moderate navigability for structured information discovery.

• ›The homepage and program pages (/ai, /cybersecurity, /software-engineering, /about) returned 200 status but contained only Next.js boilerplate HTML without readable content; the agent could not extract details from direct page fetches alone.
• ›Pricing and tuition details were only accessible via the /tuition-financing/ page (step 18), which required the agent to discover it through web search results (step 14) rather than navigation from the homepage. Standard URL patterns like /pricing and /programs returned 404s.
• ›The agent assembled the final answer primarily from web search results (steps 14, 15, 16, 19, 21) and cited third-party comparison sites (Career Karma, Course Report, Springboard) rather than Flatiron's own pages. Only one direct site fetch (step 18, /tuition-financing/) was cited as a source.
• ›The site's client-side rendering architecture made it invisible to HTML parsing; curriculum specifics, instructor bios, and work-integrated program details remained inaccessible without JavaScript execution or interaction.
• ›The agent successfully identified gaps in what the site exposed (no visible instructor credentials, sparse new program details, no prominent Data Science offering) and clearly called these out as 'confusing or hard to find.'