The agent partially fulfilled the task by assembling a clear explanation of Was kommt's core value proposition, target audience, and feature set from machine-readable metadata (RSS, llms.txt, and JSON feed), but could not locate or explain pricing—a key requirement. The site is well-documented in structured formats but deliberately or accidentally hides commercial information behind what appears to be an interactive login wall.

• ›Steps [13], [14], and [15] returned rich, well-structured content via RSS, llms.txt, and JSON feed—all published at standard discovery endpoints. These provided the complete positioning statement, feature list, and domain focus without requiring JavaScript rendering or authentication.
• ›The agent never found pricing because waskommt.com does not publish it on any accessible page—direct guesses at /pricing and /subscribe both returned 404s, and all web searches failed to surface pricing from third-party sources or indexing. This suggests pricing is behind a login or handled via direct contact, making it impossible for an agent to discover without interactive UI access.
• ›The llms.txt artifact ([14]) was the single most valuable resource, containing a dense, well-written description of the product's philosophy, refutation conditions, and scope. This suggests the site owner anticipated agent-driven discovery and optimized for it—a positive signal—but only partially (pricing excluded).
• ›Web searches ([7], [8], [10], [11], [20], [21], [23]) returned zero actionable results about Was kommt itself, indicating very low search visibility or SEO. The agent had to rely entirely on site-published structured data, not search discovery.
• ›The site is German-only with no English localization, which the agent correctly identified as limiting reach. The team/founder attribution comes from prior knowledge (step [4] loaded a page reference to 'manuel-mahler-hutter.jpg') but the agent could not access full team details.