The agent successfully compiled a comprehensive explanation of EBookBrew by combining direct site fetches (homepage, llms.txt, pricing.md) with supplementary web searches. Most core information—what the product does, pricing structure, and target audience—came from two machine-readable artifacts (llms.txt and pricing.md) that the site published explicitly for this purpose. The site was reasonably navigable for discovery but blocked deeper exploration (about/features pages redirected to auth), requiring the agent to rely on pre-published structured data rather than navigating a fully open site.

• ›The homepage fetch [1] was a router that confirmed the site existed but yielded no extractable content (Next.js SPA). The actual answer came from [10] llms.txt and [12] pricing.md—both intentionally published machine-readable artifacts that directly answered 'what they do' and 'how it's priced' without requiring human interpretation.
• ›The site's /about and /features pages (steps [4], [5]) redirected to an authentication system, blocking human-style exploratory navigation. This forced the agent to rely entirely on the llms.txt and pricing.md files, which were accessible without auth and contained the summary information.
• ›The agent had to use web search (steps [7], [8], [14]) to infer competitive differentiation, since the site itself published no comparison or positioning statement. The final answer's 'How It's Different' section is partially grounded in external competitor research rather than EBookBrew's own claims, indicating the site does not self-describe its differentiators clearly.
• ›Pricing details were complete and well-structured in pricing.md [12], including credit costs, subscription tiers, and export rules. The agent had to cite this .md file directly rather than a standard /pricing HTML page, showing the site prioritizes machine-readable pricing over a human-browsable page.