The agent successfully gathered the core information needed to explain Smallware by fetching the markdown-rendered homepage and pricing page, which provided clear positioning, feature descriptions, pricing tiers, and comparisons. However, the site's HTML-only rendering and missing documentation pages (404s on /docs, /about, /features) forced the agent to work around navigation gaps; the agent could not verify technical details about Pylon integration, deployment specifics, or data portability through the site itself and had to acknowledge these gaps in the final answer.

• ›Steps [16] and [17] (markdown renderings of homepage and pricing) contained all the directly-cited source material: Smallware's positioning ('Idea → live app'), supported AI tools (Claude Code, Cursor, etc.), bundled services (sign-in, data, permissions, deployment), and explicit pricing ($25 solo, $99 team, free tier with request limits).
• ›The site's HTML responses (steps [1], [3], [24]) were truncated and unreadable; only the markdown versions ([16], [17]) provided usable text. This suggests the site publishes content in markdown form but the agent had to guess the .md URL pattern to access it—not a natural discovery path.
• ›Navigation failures (steps [6], [10], [18] returned 404s for /docs, /about, /features) left gaps the agent explicitly called out: no explanation of Pylon framework, no technical trade-off comparison table, no deployment infrastructure or SLA details, no vendor lock-in/migration guidance, and no specifics on how AI tool integration actually works. The agent relied on prior knowledge and inferred answers rather than site content.
• ›Web searches (steps [7], [9], [12], [14], [20], [23], [26], [29]) returned results about kitchen equipment, unrelated software projects, and generic backend platform comparisons—not Smallware-specific information. None were cited in the final answer, confirming the site's search visibility is poor and the agent had to rely entirely on direct site content.
• ›The agent successfully positioned Smallware relative to Firebase and Supabase through domain knowledge rather than comparative data published on the site, which did not exist. This represents a workaround: the agent answered the comparative question the user asked, but grounded it in external knowledge, not in what Smallware published about itself.