The agent could not fully satisfy the task due to limited public information on bouyant.ai's website. It extracted the core value proposition (audit trails, recovery, compliance for autonomous agents) and architectural principles from the homepage metadata and title tag, but failed to find pricing, customer profiles, competitive differentiation, or company background. The site appears intentionally minimal—only the homepage is accessible; all standard navigation paths (docs, about, blog, pricing) returned 404s, forcing the agent to rely on web search for context that did not materially help.

• ›The homepage (steps [1], [3], [30]) was the only content-bearing resource from bouyant.ai itself, delivering only the meta description and title. No actual body content, navigation, or deeper pages were successfully retrieved.
• ›All attempted direct navigation paths (/pricing, /docs, /about, /blog) returned 404s, indicating the site publishes almost no indexable pages beyond the homepage.
• ›Web search (steps [6], [8], [10], [17], [19], [21], [22], [27], [29], [32], [33], [35]) returned no relevant results about bouyant.ai specifically—searches instead surfaced unrelated products like Buoyant/Linkerd (different company), Zenity, and open-source projects. The agent was unable to find independent verification, press coverage, comparisons, or team information.
• ›The agent assembled most of its answer from the homepage tagline alone ('safe-harbor infrastructure for autonomous AI agents: record what they did, recover them when they break, and prove your diligence. Local-first, fail-closed, tamper-evident'), then acknowledged gaps (pricing, use cases, integration, company background) as unfindable rather than inventing them.
• ›The site is not agent-ready: it lacks structured data (schema.org, JSON-LD), a machine-readable pricing page, FAQ, comparisons, or any secondary pages that would allow discovery or evaluation without human contact.