Floki has officially expressed its strong support for AI Agent BAD Protocol, a revolutionary initiative within the BNB Chain ecosystem. BAD Protocol is a comprehensive platform for designing, improving, and deploying AI Agents, providing features such as automated trading, animated avatars, and extensible decision trees*. This partnership affirms Floki's commitment to advancing AI-driven blockchain solutions, constantly pushing the boundaries of this technology.

BAD Protocol aligns with BNB Chain’s goal of integrating cutting-edge AI technologies into its blockchain ecosystem. With unique tools such as Chain Graph technology, BAD empowers developers to design flexible and powerful AI applications. Floki’s involvement ensures that the protocol will receive strong community support, accelerating BAD’s adoption as a leading AI initiative on the blockchain.

Floki distributes 35% of BAD tokens via airdrop

Floki is taking a strategic step to fuel the growth of the BAD Protocol by allocating 35% of the total BAD token supply to its ecosystem.

  • 27% of the total BAD supply will be distributed directly to FLOKI holders on-chain and on supported CEXs.

  • 4% of the total BAD supply will be distributed directly to on-chain TOKEN holders.

  • 4% of the total BAD supply will be distributed directly to Floki Trading Bot users.

This not only increases engagement but also encourages the use of AI protocols within the Floki ecosystem.

Additionally, 10% of the total BAD supply will be allocated via a presale on TokenFi Launchpad. This presale is exclusive to TOKEN stakers, with special rewards for long-term supporters via the TokenFi Supercharger Program.

With these strong moves, Floki is not only accelerating the development of the BAD protocol but also strengthening its position in building and developing blockchain applications powered by advanced AI technology.

AI Agents are currently the fastest growing crypto sector, with a market valuation of $10.8 billion at the time of writing.

Overview of the largest AI Agents in the field.

*Expanded decision trees are a term in machine learning and artificial intelligence (AI) that refers to complex decision trees with multiple branches and levels of branching depth. A decision tree is a classification or regression model in which decisions are made over questions that can have multiple outcomes, and the decision process is performed step by step from the root to the leaf branches.



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