The agent successfully gathered what Cabina.AI does, who it's for, and how it's priced from the homepage and pricing page, then supplemented competitive positioning with web search results. The site was navigable but incomplete—pricing was clear, but feature mechanics (token system) and limitations remained opaque.

• ›Step [1] (homepage) provided core positioning (aggregator, 55+ models, 35+ tools, unified interface) in structured form; the agent extracted this cleanly without needing to infer.
• ›Step [2] (pricing page) was well-organized and directly fetchable, exposing all five tiers with token allocations and per-token value progression, making cost comparison transparent.
• ›Step [3] (features page) returned 404, indicating the site does not organize feature details in a discoverable endpoint—agent could not navigate there to clarify what tools do or how tokens map to actual API calls.
• ›Step [4] (web search) supplied competitive context (Poe, Cloneify AI, ChatHub.gg as alternatives) and model-comparison positioning that the homepage hinted at but did not deeply explain; this required external validation.
• ›The agent identified genuine gaps in site documentation: token mechanics and free-tier limits are quantitatively vague on the homepage and pricing page, forcing the agent to flag these as confusions rather than present uncertain details as facts.