Agent successfully gathered and explained Flowline's core positioning, features, pricing, and key limitations by fetching the homepage, pricing page, and llms.txt. The site was navigable and published pricing clearly, but left many collaboration, trial, and feature-definition details unexplained, requiring the agent to flag ambiguities rather than assume.

• ›Pricing page was well-structured and machine-readable (table format with EUR amounts, trial lengths, and feature lists), making the agent's price summary accurate and complete relative to what the site exposed.
• ›The homepage and pricing page did not explain the distinction between 'habits' (Free: 5) and 'custom habit tracking fields' (Plus: 10, Pro: unlimited), leaving the agent unable to clarify a core feature without external research.
• ›Site published no competitor comparisons or explicit differentiation claims beyond 'one integrated app'—the agent correctly noted it could not assess relative positioning without outside research, staying grounded in what was retrieved.
• ›Four AI features (Assistant, Coach, voice capture, agent integrations) are listed as 'in development' with no release dates or plan assignments, creating ambiguity the agent correctly flagged rather than assumed.
• ›llms.txt was present and fetched but added minimal new substance beyond what the homepage and pricing page provided—it confirmed the product description and mentioned a plans API and OpenAPI spec without exposing their content, so the agent did not claim knowledge of those endpoints' actual capabilities.