The agent successfully compiled a comprehensive explanation of Drivings.com by retrieving structured Markdown content from pricing, competitor comparison, and course pages. The site publishes machine-readable `.md` editions of key pages, making it agent-friendly for discovery-evaluation tasks, though some details (refund policy specifics, US platform scope, AI assistant capabilities) remained incomplete or required inference.

• ›Steps [16], [21], [22] returned Markdown editions of /plan, /vs/zutobi, and /courses that directly answered pricing, differentiation, and target audience questions with structured, citable content.
• ›Step [18] (/llms.txt) provided a high-level summary and site index that confirmed Drivings' core mission and multi-licence scope, serving as an authoritative identity anchor.
• ›The site explicitly supports agent navigation by publishing `.md` Markdown editions alongside HTML, with a clear 404 error page ([14], [15]) directing agents to llms.txt and agents.md when pages don't exist — demonstrating intentional agent-readiness.
• ›Agent discovered most content through prior knowledge (guessing /plan, /courses URLs) and web search results that surfaced comparison and course pages; the site's information architecture is not deeply navigable from the homepage alone, requiring direct URL knowledge or search.
• ›Critical gaps remain: the refund-guarantee terms were noted as 'conditional' but full policy details were not exposed in fetched content; competitor comparisons for Theory Test Pro and Driving-tests.org did not load completely; US market details were sparse; AI assistant capabilities lacked specifics.