The agent assembled a comprehensive overview of Vita Prima by combining homepage exploration, web search results, and individual product page fetches, but struggled with truncated HTML responses and incomplete product catalog visibility. The site lacks a centralized pricing or product directory page, forcing the agent to piece together information from scattered product pages and search snippets rather than dedicated business-model or pricing documentation. Despite this friction, the agent successfully explained what Vita Prima does, who they serve, their core differentiator (grass-fed beef tallow), and pricing range, though with acknowledged gaps on subscription models, wholesale details, and complete product inventory.

• ›Steps [1], [4], [5], [9], [10], [14] returned HTML that was consistently truncated at ~4400 characters, preventing the agent from extracting complete product data, pricing tables, or detailed mission statements directly from the site's DOM.
• ›Step [7] and [12] (web search results) actually provided more legible information than the direct fetches—search snippets surfaced specific product names, categories, and ingredient focus (tallow) more effectively than the truncated homepage/collection page HTML.
• ›The agent had to cite sources like 'Legacy Tallow Balm product page' and 'Grass-Fed Beef Tallow page' in its final answer, but the HTML responses from those pages did not actually contain usable content; the agent likely inferred these details from search results and prior knowledge rather than from the fetches themselves.
• ›The site has no unified 'pricing' or 'products' index with machine-readable pricing data—the agent could not find a comprehensive catalog and had to reference individual product URLs from search results.
• ›The agent correctly identified what it could not retrieve: complete pricing structure, full product range, subscription models, and detailed mission content, indicating honest gap acknowledgment rather than hallucination.
• ›The site is built on Shopify (inferred from /collections/, /products/ URL structure) and uses Google Tag Manager, but the HTML responses were so truncated that the agent could not extract schema.org product data, pricing JSON, or other structured markup that would normally be present in e-commerce site headers.