The agent successfully gathered a complete understanding of Greenlit by recovering from an initial certificate error, redirecting to the correct domain (greenlit.io), and supplementing with GitHub repository context. The main product site published clear positioning, feature lists, and target audiences in accessible form, though pricing required model inference (request a demo) and the originally-requested Vercel subdomain remained inaccessible.

• ›The primary source (greenlit.io) directly exposed all core positioning: operating layer for film/TV, consolidated workflow, three audience segments, and feature list. This content was well-structured and complete enough to answer the task without guessing.
• ›Pricing was intentionally non-public; the site's only signal was a 'demo' call-to-action. The agent correctly identified this as a gap rather than deriving a price tier from model memory.
• ›The originally-requested domain (greenlit-website.vercell.app) failed with a certificate error and was never fetched. The agent recovered by searching, found the correct primary domain in results, and discovered the Vercel deployment was a secondary marketing site hosted in a public GitHub repo—showing the site did not self-surface its own alternative deployments.
• ›GitHub repository (step [9]) provided technical context (Node.js backend, Resend email integration, contact form) but was cited primarily for transparency about the Vercel deployment, not as a primary source for product description. This suggests the agent understood the distinction between marketing site and implementation details.
• ›No customer testimonials, case studies, or explicit competitor comparisons were found on the main site. The agent correctly flagged these as missing rather than inventing them, and the differentiator claim ('one record that stays attached') was grounded in site copy, not model inference.