The agent satisfied the task by assembling a coherent explanation of Resolve.ai's purpose, audience, pricing model, and differentiation from four fetched pages. The site was moderately navigable but deliberately opaque on pricing and competitive positioning, forcing the agent to surface gaps rather than fill them from unsupported memory.

• ›Step [0] (homepage) provided the core product narrative: four-part service model (On-Call Agent, Incident Resolution, Operational Tasks, Custom Agents) and key metrics. This was the foundation for 'What They Do'.
• ›Step [2] (/pricing) revealed the pricing model is credit-based and intentionally non-transparent—the agent correctly noted this as a confusing friction point rather than hiding it, grounded in the site's actual 'Request pricing' form.
• ›Steps [3–4] (homepage re-fetches) returned differentiation claims and customer/audience data but were likely duplicate attempts; the agent pulled from earlier content. The site did not expose a dedicated 'vs. competitors' page or comparison table.
• ›The agent labeled inaccessible specifics (credit consumption rates, implementation complexity, ROI timelines) as missing rather than inventing them—an honest gap acknowledgment not supported by fetches.
• ›No search or external sources were used (0% from web-search per metadata); the agent worked entirely from on-domain content, indicating the site was self-contained but sales-gated on pricing detail.