People's affection for characters often begins with stories. Transformers established Optimus Prime and Bumblebee as iconic IPs through animation, comics, and films. Designer toys and merchandise let audiences bring their favorite characters home, extending that attachment through play and collecting.

AI adds two-way interaction to this connection. In December 2025, Pudgy Penguins and Curio launched Springer, a penguin-shaped AI designer toy. Users can talk directly with the toy and receive responses in the character's voice and style.

Stories help people grow fond of characters, while AI makes direct communication between people and characters possible. Capybobo aims to go further by using generative AI to turn its capybara characters into digital lives that can experience stories with players and build memories. Players participate in the game through dialogue and choices, and AI generates subsequent storylines accordingly; shared experiences are retained as long-term memory. When users interact again, the capybara characters can respond by continuing the previous story.

In the future, Capybobo also plans to extend these memories to physical designer toys. Capybara characters familiar to players in the game can also remember their shared experiences in the real world.

Capybobo 3.0 is scheduled to launch in Q1 2027. This game upgrade will focus on introducing AI-generated storylines and long-term memory.

AI-Generated Storylines Let Players Participate in the Capybara Characters' Stories

Generative AI is changing how players communicate with game characters. In November 2025, Ubisoft announced Teammates, a playable generative AI experiment. Players can give natural-language instructions to teammates powered by generative AI. The AI combines player instructions with in-game scenarios to generate teammates' responses and actions in real time.

Ubisoft's attempt shows how AI can participate in character interactions. Capybobo plans to use AI for the dialogue and storyline generation of its capybara characters. Players engage in stories through dialogue and choices, and AI combines these interactions with relevant memories to generate subsequent storylines. As a result, the same capybara character can experience different stories with different players.

Interactions between players and capybara characters will also provide material for improving the AI. The Capybobo project team plans to further annotate player dialogue data and use it for AI post-training, helping the AI understand player intent and generate more coherent dialogue and storylines to deliver a better gaming experience.

At the same time, long-term memory will preserve each player's shared experiences with capybara characters and allow those experiences to influence future interactions. Players personally participate in the story and can feel remembered through the capybara characters' responses. Their affection for the Capybobo IP can therefore deepen through repeated interactions, gradually forming an emotional bond between players and capybara characters.

From Generative Games to Personalized Education

Capybobo's AI-generated interactive games also offer a model for educational applications: AI generates interactive scenarios, users communicate with characters, the system retains relevant memories, and future content is adjusted accordingly.

For such games to work, AI must understand different player expressions, keep storylines coherent, and generate new responses based on past interactions. Players' evolving dialogue and choices provide concrete scenarios for the team to refine these capabilities. How to generate content suited to individuals and how to understand a person through long-term communication are also challenges that personalized education must address.

As these capabilities mature, Capybobo plans to combine them with educational content and expand into children's education. AI can generate explanations and exercises around knowledge points. Children participate in learning by asking questions, answering, and solving problems. Based on the interaction content, AI forms learning memories and gradually understands children's interests, comprehension levels, and learning progress.

Using this feedback, AI can adjust question content and explanation methods so that the same knowledge point can be learned through a process suited to each child. Subsequent lessons can also continue from existing learning records. Capybobo hopes this model will make individualized instruction part of every interaction, providing children with AI tutors that understand them over the long term.

Bringing Familiar Capybara Characters to Players' Sides

Capybobo also plans to launch physical designer toys that can talk with players. Players can communicate directly with the toys beside them and continue discussing stories and promises made together in the game. The toys respond using these memories, allowing in-game interactions to continue in the real world.

To this end, Capybobo plans to embed smart interactive hardware in designer toys, connect them to AI models, and sync the memories of the corresponding in-game characters. As educational applications develop, physical designer toys are also expected to serve as learning companions, enabling AI to provide tutoring based on learning records accumulated in educational scenarios.

For players who love Capybobo, the capybara designer toys they bring home will also preserve the stories shared with them. Capybara designer toys with identical appearances will gradually develop distinct expressions and interaction habits as they accumulate different interactions and memories.

When designer toys have their own “soul”

Designer toys are an important way to commercialize character IP. In H1 2026, Pop Mart's plush toys and figures contributed approximately 150.17 hundred million yuan in revenue, accounting for 87.4% of total revenue. According to a report by Licensing International, global licensed toy retail sales reached 464 hundred million USD in 2025.

Generative AI and long-term memory enhance the Capybobo IP with personalized companionship capabilities. Players accumulate shared experiences with capybara characters in the game, while physical designer toys extend this companionship by connecting to AI and related memories. Different memories allow the digital life embodied in designer toys to form unique relationships with each player.

The capybara image and collector demand provide a foundation for designer toy sales. Applications of generative AI and long-term memory in education are expected to further expand educational partnerships and personalized services, creating new revenue sources for Capybobo.

Under the current plan, Capybobo will launch blind boxes globally in Q1 2027 and introduce AI designer toys in Q2.

Source: 深潮 TechFlow