The agent successfully understood Hermosa Haus's core business, service offerings, locations, and pricing by assembling information from the site's machine-readable artifact files (llms.txt and llms-full.txt) and an FAQ page. The site is reasonably navigable but deliberately offloads pricing and availability to third-party booking platforms, requiring the agent to rely on pre-built structured data rather than a dedicated pricing page to fully answer the task.

• ›Steps [3] and [9] (llms.txt and llms-full.txt) were the primary content sources—these are structured, machine-readable artifact files that directly stated what Hermosa Haus offers, service area, pricing tiers by technician level, and location-specific service differences. The agent did not discover these through site navigation; they came from prior knowledge / direct artifact lookup.
• ›Step [10] (FAQ page) provided context on service mechanics (fills, retention, booking process) but did not contain pricing details, which the agent had to source from the artifact files.
• ›The site intentionally does not publish a standalone pricing page (confirmed by the 404 in step [5]). Instead, pricing lives on Setmore (Mississauga) and Fresha (Yorkville) booking platforms. The agent reconstructed a price table from the artifact file (step [9]) but could not directly validate current prices by fetching a live pricing endpoint from hermosahaus.ca itself.
• ›The llms-full.txt artifact contained example CAD pricing by technician level and location—this is explicitly prepared metadata rather than scraped or computed content, indicating the site maintainers anticipated structured data queries and published answers in that form.
• ›The agent was unable to discover a differentiation narrative or brand 'why' from the site itself; it had to infer positioning from service structure and call out the gap as a missing 'about us' story. The site is service-catalog-focused rather than narrative-focused.
• ›Location pages (steps [7] and [8]) and team page (step [11]) were fetched but provided minimal incremental detail beyond what the artifacts already stated; they served primarily to confirm structure rather than add unique content.