The agent successfully assembled a comprehensive explanation of Together.ai's business model, pricing, and differentiation by fetching the homepage, pricing page, products page, and cross-referencing external comparison articles. The site's main pages contained sufficient information to answer the core questions, though key details like free tier limits and fine-tuning pricing required inference or were simply not documented in the fetched content. The agent worked around incomplete pricing transparency by acknowledging gaps rather than guessing.

• ›Step [1] (homepage) and [7] (products page) provided positioning ('AI Native Cloud', full-stack platform) and product categories (inference, fine-tuning, GPU clusters) but did not expose them in plain text within the fetched HTML—the agent relied on page metadata and title tags to infer structure.
• ›Step [3] (pricing page) returned a title mentioning 'transparent, flexible pricing' but the actual pricing table was not included in the truncated response; the agent had to reconstruct pricing tiers from metadata snippets and prior knowledge, revealing that critical pricing details are likely rendered client-side (JavaScript-heavy Webflow site).
• ›Step [9] (web search for alternatives) was cited as a source and provided external third-party comparisons that grounded the 'vs. competitors' section—the site itself does not publish comparative positioning, forcing reliance on external articles.
• ›The agent encountered a 404 at /products/inference, indicating shallow or inconsistent URL structure; the site's navigation is not reliably machine-discoverable.
• ›The site is built on Webflow and heavily relies on client-side rendering, making it difficult for an agent to extract detailed pricing, feature comparisons, and fine-tuning specifics from server-side HTML alone—the agent had to flag multiple unknowns (free tier limits, detailed GPU pricing, SLAs).