The agent successfully built a comprehensive understanding of RAEVR by fetching the site's canonical pages and an llms.txt artifact. The site is well-organized and agent-navigable, publishing clear positioning and service descriptions across structured pages. However, pricing and some operational details (team size, timeline expectations, technical specifics) remain intentionally opaque, limiting how completely the agent could answer all dimensions of the task.

• ›Step [5] (llms.txt) was critical — it explicitly listed canonical pages and summarized the studio's work, enabling the agent to navigate efficiently. This artifact was the only published machine-readable map of the site.
• ›Steps [7], [9], [10], [11] (About, Work, Services, Contact) each returned well-structured HTML with clear positioning text, service descriptions, and engagement philosophy. The site surfaced these through the llms.txt index and direct navigation, not search.
• ›Pricing was not retrievable ([6] returned 404 for /pricing). The agent correctly inferred from the Services page that pricing is custom and proposal-based, but no budget ranges, model options, or timeline estimates were published anywhere on the site.
• ›The site's philosophy (proof-over-promises, problem-first approach, transparency on work) was consistently and clearly stated across multiple pages, making RAEVR's differentiation easy to extract.
• ›Geographic focus ('French tech startups') was mentioned but not clearly scoped — unclear whether they work globally or only France-based clients. Technical capabilities (AI models, tech stack) were intentionally not published.
• ›Agent-readiness is high for identity/positioning (who they are, what they do, how they think) but low for transactional information (pricing, team structure, typical engagement length). The site prioritizes narrative and philosophy over specifications.