The agent retrieved and synthesized three pages (homepage, Kaan beta application, and privacy policy) to construct a partial but coherent explanation of Alfabe's mission, product strategy, and access model. The site was moderately navigable but lacked pricing transparency, technical benchmarks, and several linked pages (FAQ, brand kit, contact); the agent correctly flagged these gaps rather than inferring missing details from model memory.

• ›The homepage and application page clearly stated the core differentiator (models trained from scratch in Turkish) and the only available product (Kaan in beta); both were fetched and cited directly.
• ›Pricing was absent from all three pages the agent read, and the agent correctly reported this gap rather than guessing; no pricing data appears in the trajectory, confirming the site does not surface it.
• ›The privacy page revealed a structural mismatch: the main Alfabe site claims to collect no data, but Kaan's application form collects email and routes through Resend (US company). The agent noted that Kaan's own privacy text was linked but not fetched, appropriately qualifying its data-handling summary.
• ›The agent discovered all three pages by following site links from the homepage (two) or typing the domain from memory (one); no search results were used, confirming the site's navigation structure was sufficient for partial discovery.
• ›Critical context (scale: 'single home server', founder name: Buğra Dere, tiyatrotist.com.tr subdomain relationship) came directly from fetched pages; the agent did not infer these, supporting the finding that core facts were site-exposed rather than model-supplied.