The agent successfully assembled a comprehensive understanding of Cheba Hut by combining homepage content, an about page, menu exploration, and web search results. The site itself provided limited structured information (no dedicated pricing page, dynamic React rendering), forcing the agent to rely heavily on web search and prior knowledge to answer questions about pricing, business model, and competitive positioning. The core identity was discoverable on-site, but pricing and franchise details required external sources.

• ›Step [1] (homepage) and step [2] (about page) provided the core brand identity and positioning—cannabis-themed sandwich chain, target demographic, founding story—but were content-light on specifics like pricing and business model.
• ›Step [3] returned a 404 for /pricing, confirming the site does not publish a centralized price list; pricing is franchisee-determined and would require visiting individual location pages (not fetched).
• ›Step [4] (menu page) confirmed menu structure and product categories but lacked actual prices, again pointing to decentralized pricing by location.
• ›Step [5] (web search) and subsequent external sources provided critical commercial intelligence (revenue benchmarks ~$1.6M annually, franchise model details, pricing ranges) that the website did not expose—indicating Cheba Hut's main site prioritizes brand experience over transactional transparency.
• ›The site is built with Next.js/React with dynamic rendering, making it difficult for agents to extract full content from HTML responses alone; the agent had to reason about what was likely present based on URL patterns and prior knowledge.