See what real AI products had to solve
Across destinations, cultural IP, toys, and connected terminals, each case starts with a real user and operating problem—not a list of features.
Find the project closest to your own scenario, then use the detail page to understand the public product and delivery context.
The Three Gorges Dam
The Three Gorges Dam case focuses on making complex engineering culture easier to understand through multilingual AI interpretation, visitor guidance, and connected destination operations.
Browse projects by scenario and product challenge
Use the project stream to find a situation close to your own before discussing the right technical path.
The published cases span tourism, cultural IP, companionship, and connected product experiences.
Start with the projects that reveal the most
The featured cases surface the product form, user context, and delivery questions worth examining first.
Start with the lead case, then compare product forms, users, content needs, and operating environments.
See how PTALK approaches real AI products across toys, cultural tourism, wellness, cultural merchandise, gifts, and connected terminals—from the original challenge to the public delivery context.
Follow the product thinking behind the project work
Cases show the public project context. News and insights explain the product decisions, technical boundaries, and operating methods behind it.
Smart Companionship: How AI Toys Support Learning and Growth
AI toys are moving from fixed playback to contextual companionship. For brands, the opportunity is to combine character, safe conversation, learning content, device design, and ongoing operations.
AI + STEAM Education: How Smart Toys Help Build Future Skills
AI-enabled toys can turn STEAM concepts into physical, conversational activities—provided the product connects age-appropriate content, feedback, hardware, and safe long-term operations.
If the user and use case are already clear, share the device idea, current stage, quantity range, and timing so PTALK can assess the next validation step.
Use published evidence to sharpen the product question before starting a business conversation.