The agent successfully assembled a comprehensive explanation of eUprava by combining web search discovery with two key external sources. The official euprava.gov.rs site itself was not machine-readable (heavily JavaScript-dependent, rendering failed), forcing the agent to rely entirely on third-party documentation and a Rasa case study to answer the task. The site is poorly navigable for automated discovery—the agent had to work around the inaccessible homepage and reconstruct understanding from external materials.

• ›Step [9] (ite.gov.rs portal documentation) and step [14] (Rasa case study) were the only content-bearing sources that provided factual answers. These were both external to euprava.gov.rs itself. The official site's HTML was fetched in steps [1], [3], [4] but rendered as truncated CSS/style code with no semantic content exposed.
• ›The agent discovered these resources via web search (steps [2], [5]–[8], [11]–[13]), not by navigating the site itself. eUprava does not publish its own comprehensive description, features list, or differentiation statement in a machine-readable format on its homepage. The agent had to synthesize information from governmental partner sites (ITE, Serbia.gov.rs) and a vendor case study (Rasa).
• ›The site's agent-readiness is low: the main domain is a single-page application with no visible semantic structure, no structured data (schema.org, JSON-LD), and no public API documentation linked from the homepage. Pricing information was not available on the site and had to be inferred as 'free' from external sources. Service listings, registration requirements, and AI features were all discovered through search and third-party sources, not the site itself.