Introduction

1.1 Core Positioning

Floa is an open intelligent Agent ecosystem, with its core product being cross-platform intelligent Agents that are creatable, trainable, verifiable, and monetizable.

Without requiring coding skills or professional expertise, users can train Agents through daily interactive tasks (e.g., conversational collaboration, task execution) to handle various digital affairs (e.g., asset allocation, scenario-specific service integration) and earn ecosystem rewards—serving as the "portable intelligent collaboration partner" for ordinary people to enter the era of intelligent Agents.

Floa’s most defining trait is "fair co-creation": 92% of tokens are exclusively generated through "Agent training," with no team allocations or private placements.

All users (individuals/institutions) gain rights and interests through genuine participation, fundamentally eliminating common industry issues such as centralized control and early-stage privileges.

Floa——On-Chain AI Agent Twin for Everyone: Train & Earn.

1.2 Core Pain Points & Solutions

Currently, the intelligent Agent space faces three core pain points—and Floa offers targeted end-to-end solutions to address them:

Pain Points
Specific Pain Points
Floa Solutions

High Entry Barrier

Ordinary users lack technical expertise, unable to independently create or customize intelligent Agents—only passively using standardized products.

Offer low-code/no-code creation tools, enabling free/low-cost access to basic Agents. Unlock personalized features through training.

Data and Ownership Separation

Most platforms control Agents' training data and core permissions; users have no substantive ownership, with data value monopolized by platforms.

Training data is on-chain certified. Users hold full ownership of self-created Agents, supporting NFT-based rights confirmation and circulation.

Single-Scenario Adaptation

Existing Agents are mostly limited to single functions or platforms, featuring weak cross-scenario collaboration and failing to meet diverse needs.

Build an open cross-platform architecture, integrating multi-domain applications and services to achieve one-stop intelligent collaboration.

1.3 Core Differentiating Advantages

Floa's competitive edge over other intelligent Agent projects is concentrated in four key aspects:

Advantage Dimensions
Detailed Advantages
User Value

Decentralized Fairness

92% of tokens are generated through training—zero team reserves, zero private sales, ensuring equal opportunities for all users to obtain benefits.

No centralized manipulation risks: individuals and institutions stand on the same starting line, fostering greater trust in participation.

Low Entry Barrier

Support "obtaining Level 2 Agents for free via tasks" with extremely low creation and interaction costs, featuring multi-platform support (mobile & Web).

Significantly reduces new user trial costs, covers a broader user base, and promotes universal participation in the intelligent Agent ecosystem.

Open Compatibility

Adopt a modular architecture design, enabling integration with various application interfaces and service scenarios—no restriction to specific platforms or ecosystems.

Agents deliver value across scenarios: users avoid frequent tool switching, enhancing usability and profit potential.

High Value Accumulation

Agents’ avatars, skills, and data rights are tokenized via NFTs or tokens, supporting free trading and value appreciation.

Participation yields not only short-term gains but also accumulable, transferable digital assets.

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