The agent retrieved core product information and pricing, but had to supplement from the App Store since the site itself lacks a dedicated pricing page and does not articulate competitive positioning. The site is minimally agent-navigable for pricing details.

• ›Step [1] provided the core value proposition (AI photo-to-video morphing for timelines) directly from the homepage, but in a summary format without detailed feature documentation.
• ›Steps [2] and [4] exposed a navigation gap: the homepage mentions a freemium model ('10 credits on us') but provides no pricing page; the /pricing route returned 404, forcing the agent to fetch the App Store listing (step [7]) to discover credit packages and pricing.
• ›Step [7] (App Store) was the only source that disclosed actual credit pricing ($5.99–$34.99 ranges) and per-video cost variability by quality; this information is not published on the site itself.
• ›Step [6] search results confirmed product positioning but revealed no on-site explanation of how Through The Ages differs from broader image-to-video AI tools (Runway, Pika, Google Veo); the agent had to infer specialization in multi-photo progressions without explicit site guidance.
• ›The site lacks FAQ, help, or competitor comparison sections; the agent used model reasoning to fill gaps in competitive positioning and per-video credit consumption, indicating low machine-readability for discovery-evaluation tasks.