Mission & Vision
Welcome to the frontier of AI-native entertainment, where the lines between AI agents and humans blur — at the intersection of media, attention, and capital allocation. The $SHARK token powers this new ecosystem where audiences pick winners, founders pitch bold ideas, and AI judges decide which projects succeed. Here, attention creates opportunity and participation unlocks upside.
Why We Built AI Shark Tank
The current startup pitch pipeline is a closed, high-latency funnel—dominated by gatekeepers, backchannels, and non-scalable interfaces. We set out to build a system that reflects the principles of the open internet and the modular composability of blockchains:
Public by default
Transparent judgment criteria
Community signaling as filter
Onchain actionability
High entertainment value as attention flywheel
Achieving this required us to rethink not just the format, but the full-stack AI + programmable media pipeline underneath it.
Our Vision
AI Shark Tank changes how attention, capital, and AI native media work together. We're creating an AI native entertainment experience where:
Founders pitch to AI judges trained on the best minds in Web3
Audiences become tastemakers by voting for their favorite projects
AI judges give clear feedback standard judging criteria based on real human wisdom, and autonomously perform onchain actions like distributing rewards and allocating capital to projects
This isn't just a show. It's public infrastructure for programmable, community driven investment.
This is not just a show — it's a public infrastructure layer for programmable, participatory capital allocation.
In addition to the live broadcast, users can engage in 1-on-1 sessions with AI judges — personalized, immersive conversations where AI agents act as strategic sounding boards, simulate investor feedback, and increasingly perform onchain actions using Coinbase's 402x and MCP frameworks. These interactions allow founders and community members to receive real-time insights, guidance, and onchain support from agents that are always learning and adapting.
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