The agent successfully understood Kobal's core offering from the homepage alone: a support operations AI that sits atop existing helpdesk systems to detect patterns and prioritize issues by business impact. However, the site was minimally navigable—pricing and comparative positioning were absent, forcing the agent to acknowledge gaps rather than fill them from external sources.

• ›Step [2] (homepage fetch) was the sole content-bearing source; it delivered Kobal's product definition, target use case, and key features in sufficient detail to answer 80% of the task.
• ›Pricing is genuinely absent from the site—not buried or gated, but redirected to 'request early access,' which the agent correctly identified as a transparency gap rather than attempting to infer from third-party sources.
• ›Steps [3] and [4] (pricing and about pages) returned 404s, confirming the site has minimal structured documentation; the agent did not attempt to backfill from competitor intelligence or SaaS databases.
• ›The agent did not cite steps [5] or [6] (searches for pricing and competitors) in its final response, treating them as routing failures rather than content sources, which is methodologically sound—search results contained only noise (Cobalt.io, Kobalt tools, Kobalt Labs).
• ›The final response's 'Confusing/Missing' section reveals the agent understood its epistemic limits: it documented what the site should have published (ROI data, case studies, implementation timeline) without fabricating answers or relying on model prior knowledge to fill gaps.