Tabi is the Modular Layer for Consumer AI.

It provides infrastructure for AI Agents to operate across real-world consumer ecosystems, enabling AI to move beyond content interaction into active participation.

Cultural IP represents one of the most powerful and emotionally driven forms of consumer behavior.

Users do not simply consume content. They follow characters, engage with narratives, participate in communities, and build identity around the IPs they care about.

However, these interactions remain fragmented across platforms.

Fans discover content in one place, engage with communities in another, and participate in events or experiences elsewhere. AI has improved content discovery, but has not unified the full engagement journey.

Tabi introduces a new approach.

Through its collaboration with Tea Girls, Tabi demonstrates how AI Agents can operate within cultural IP ecosystems as continuous engagement systems.

Within this environment, AI Agents can:

understand narrative structures and character contexts
personalize content and story exploration
guide fans through interactive journeys
connect fragmented engagement across platforms
adapt interactions based on user behavior over time

Instead of isolated fan interactions, these systems function as persistent AI Agents that accompany users throughout their cultural engagement lifecycle.

Tea Girls represents a real-world cultural IP scenario where users actively participate in content, community, and identity-driven experiences.

By operating within this ecosystem, AI Agents built on Tabi can move beyond recommendation and become part of the interaction layer itself.

Tabi’s modular infrastructure enables these agents to operate across platforms without requiring each ecosystem to rebuild its own engagement system.

This transforms cultural IP from static content consumption into dynamic, AI-driven interaction systems.

AI is no longer just a discovery tool.

With Tabi, AI becomes part of how culture is experienced.