The agent successfully gathered enough information to explain Inspect's core purpose, audience, pricing, and positioning, but the site's sparse structure forced heavy reliance on prior knowledge (62%) and markdown artifacts rather than HTML content. Key facts came from machine-readable .md files (pricing.md, agent.md, index.md) that weren't discoverable from the homepage—the agent had to guess their URLs. The final answer is substantially complete but acknowledges significant gaps: no competitive analysis page, no company/about information, and vague details on integrations and the desktop app.

• ›Steps [10], [12], [13] returned markdown files (index.md, pricing.md, agent.md) that contained the core answer material (what Inspect does, pricing tiers, agent-first design, setup instructions). These were the only content-rich responses; all other fetches returned truncated HTML.
• ›The agent discovered these .md files by guessing URLs based on prior knowledge (62% of fetches) rather than following navigation links from the homepage. Steps [1], [2], [11] returned the HTML homepage and blog but did not expose links to the pricing.md or agent.md resources—the agent had to infer they existed.
• ›Multiple intuitive URLs returned 404s: /about, /integrations, /features, /faq, /why-inspect. This indicates the site's information architecture is minimal—most content lives in scattered .md files or is embedded in the homepage HTML, not organized into discoverable pages.
• ›The homepage HTML (step [1]) was truncated in the response and did not yield readable text; only the markdown fallback (step [10], labeled index.md) provided coherent positioning. The agent had to fetch a fallback artifact to extract what the homepage actually says.
• ›The pricing page (step [2], HTML) also returned truncated content, but pricing.md (step [12]) provided complete, machine-readable pricing tiers. This shows the site publishes structured pricing as .md but the HTML version may not render consistently for agent reading.
• ›The agent's final response explicitly lists gaps: 'no dedicated comparison page,' 'no about or company page,' 'limited feature comparison,' 'desktop app unclear,' 'integration details vague.' These are directly traceable to failed fetches (steps [3], [6], [7], [8], [9]) and sparse content in successful ones.
• ›The site is moderately agent-ready via .md artifacts but poorly discoverable: markdown files exist but must be guessed; HTML pages don't link to them or provide rich metadata. A human visitor would also struggle to find competitor comparisons or company background.