The agent satisfied the discovery-evaluation task by assembling a comprehensive explanation of secrets.ai from third-party review sources, since the secrets.ai domain itself is a client-side rendered Next.js app that does not expose readable content in fetch responses. The agent successfully identified what the product does, pricing structure, target audience, and differentiation from competitors, but had to work around the site's poor agent-readiness by relying entirely on external review aggregators.

• ›The primary content-bearing steps (10, 11, 16) were all third-party review sites (aiapps.com, secretopedia.com, aifreands.com), not secrets.ai itself. The agent's direct fetches of secrets.ai (steps 1, 3, 4, 5, 8) returned only HTML scaffolding with no readable content — all substantive content is client-side rendered and invisible to the agent.
• ›The agent discovered these external sources through web search (step 7 and 13), which returned links to review aggregators. This indicates secrets.ai has poor discoverability for its own content via agent-native channels; reviews by third parties became the primary information source.
• ›The agent explicitly called out missing information: vague documentation (docs page loads but contains nothing), unexplained creator monetization terms, unspecified memory limits, unclear Moments cost breakdown, and video generation quality/limits. This reflects that even the third-party sources could not fully document the product.
• ›The site's use of client-side rendering with Next.js makes it fundamentally difficult for agents to extract information — all fetched responses were truncated HTML with no substantive text. The agent had to route through web search → third-party reviews as a workaround.