The agent successfully assembled a comprehensive explanation of trigger.dev by fetching the homepage, pricing page, product page, documentation, and two direct competitor comparison pages. The site exposed pricing tiers, feature descriptions, and curated comparison content in fetchable form, though some details (machine sizing guidance, open-source positioning, rate limits) were buried or incomplete. The agent filled gaps with web search and prior knowledge rather than discovering them on-site.

• ›The homepage [1] and pricing page [3] were content-bearing and directly cited; they provided the core product summary ('fully-managed AI agents and workflows') and the pricing tier table, but pricing was incomplete—the agent had to search for compute cost breakdowns and per-second pricing not fully exposed on the initial fetch.
• ›The product page [9] and how-it-works documentation [10] were fetched but their specific content snippets are truncated in the trajectory, making it unclear what additional detail they surfaced beyond what the homepage and pricing page already provided.
• ›The two comparison pages [13] vs n8n and [14] vs BullMQ were explicitly cited sources and clearly content-bearing; trigger.dev published these curated comparisons directly, making competitor differentiation easy to retrieve.
• ›The site did not publish a comparison to Inngest (a direct competitor) despite it appearing in web search results, creating a discovery gap the agent had to work around.
• ›The agent relied on web search [7, 11, 16] for 50% of sourcing, indicating key information (detailed pricing, rate limits, open-source positioning, self-hosting) was not prominently surfaced on the main marketing pages and required external search or deeper documentation digging.
• ›Free tier details, machine sizing guidance, and the 5-second pause-without-charge feature were mentioned but not highlighted as primary messaging on fetched pages, forcing the agent to assemble them from Q&A sections or buried documentation.