The agent partially satisfied the task by assembling a coherent explanation of Oliveboard from the homepage, comparison articles, and web search results, but encountered significant friction when the site's dedicated pricing and About pages returned 520 errors. The final answer reads credibly and covers what Oliveboard does, who it's for, and how it differs from competitors, but pricing details remain incomplete and unverified because the official pricing page was inaccessible. The agent worked around these gaps by citing coupon and review sites, which introduced uncertainty.

• ›Step [1] (homepage) provided the foundational positioning ('India's Top Exam Preparation Platform', exam scope, and meta description) but only meta-level structure; the HTML was truncated and did not expose interactive pricing or plan details.
• ›Steps [3], [4], [5] all returned 520 server errors for /about, /pricing, and /faq — the exact pages that would have contained authoritative answers to pricing and positioning questions. This forced the agent to rely on web search and third-party comparison articles.
• ›Steps [16] and [17] (Learnersvibe comparison article and Readable's Oliveboard vs. competitors analysis) were the primary content sources for understanding differentiation, features (AI analytics, adaptive learning), and competitive positioning. These were third-party synthesized articles, not primary sources from Oliveboard.
• ›Step [24] (web search for AI features) and [25] (company profile search) returned link snippets that guided the agent toward AI-analytics positioning, but neither was fetched for full content; the agent inferred from titles and metadata rather than page bodies.
• ›Pricing information came from search result titles pointing to coupon and discount aggregator sites (worthepenny.com, cashaly.com), not from Oliveboard's own site. The agent noted this uncertainty explicitly in the response ('highly promotional... making it hard to determine actual base price').
• ›The site's main domain was navigable only at the homepage level; deeper routes (pricing, about, faq) were unreachable, forcing a heavy reliance on web search (56% sourced from web search vs. 11% prior knowledge and 33% previous artifact). This is the 'heavy bridge' friction signal — the agent succeeded despite the site being partially offline.
• ›The agent's final response is well-structured and includes explicit caveats about what it couldn't find (exact pricing tiers, plan comparisons, regional language support, student success rates), demonstrating honest handling of gaps rather than speculation.