The agent successfully assembled a comprehensive explanation of Fig Inc by combining content from the homepage, their llms.txt and llms-full.txt artifact files, and four detailed blog posts. However, the task was only partially satisfied: the agent provided clear answers on what Fig does, who it's for, and how it differs from alternatives, but could not find explicit pricing information despite multiple attempts. The site surface its research and positioning well through blog posts and technical reports, but deliberately obscures or omits its commercial offerings—Fig Labs exists but lacks accessible product and pricing details.

• ›Steps [7] and [10] (llms.txt and llms-full.txt) were crucial discovery artifacts that clearly labeled Fig as 'a frontier AI lab pioneering systems capable of continual learning and autonomous action'—the site explicitly publishes this machine-readable positioning via LLM-friendly text files.
• ›Steps [12], [13], [35], [37] all returned substantive blog post content (markdown format) that formed the core of the agent's differentiation narrative—these detailed technical reports on scaling laws, GUI domain randomization, browser-use failures, and benchmark critique were readily fetchable and content-rich, showing strong agent-readiness on the research side.
• ›The agent discovered Fig Labs (figlabs.ai) through web search (step [21]), not through navigation on fig.inc itself; no link between the research site and commercial product is apparent on the primary domain, forcing discovery to rely on external search.
• ›Pricing information was completely absent from all fetched pages; the agent searched four times (steps [15], [23], [26], [27], [30]) and explicitly noted 'Talk to Sales' language on Fig Labs but no pricing tiers, cost information, or transparent rate cards.
• ›The site's architecture heavily favors open research (HTML blog pages, markdown exports, llms.txt indexes) but provides no structured data, API documentation, product comparison, or checkout flow—commercial identity is intentionally underdeveloped or hidden.