Agent satisfied the core task: extracted what Rosi Puodzius does, who it serves, and why she's positioned distinctly in the NR-1 training space. Site content was direct but sparse on pricing and delivery details; agent supplemented with web search context on NR-1 enforcement to frame the regulatory need, then explicitly noted what the site left unsaid.

• ›Site homepage ([0]) and lectures page ([3]) directly answered the core service description (NR-1 training via CUIDA framework for schools), requiring no model inference or external sources to construct that answer.
• ›Pricing and delivery format were explicitly absent from the site ([1], [3]); the agent correctly identified and flagged this rather than fabricating terms—evidence of grounding discipline.
• ›Differentiation claim (education-sector expertise, school-specific focus, pedagogue background) came entirely from site content ([0]); agent did not need model memory to assert Rosi's credibility, as the site published her credentials directly.
• ›Web search ([5]) provided regulatory context (NR-1 enforcement date, psychosocial risk scope) that made the problem space legible but was not required to answer the core task—agent used it to explain *why* the service exists, not *what* it is.
• ›Site lacked testimonials, case studies, or competitor positioning; agent noted these gaps explicitly rather than filling them with assumed alternatives, indicating appropriate boundary-setting between retrieved fact and missing information.