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AIAF is designed with a layered architecture to ensure scalability, security, and decentralization:
The User Layer provides interfaces for interacting with the platform:
Web Interface: Browser-based dashboard for creating and managing agents
API: Programmatic access to platform services
SDK: Developer libraries for different programming languages
Web3 Wallet: Connects users to the blockchain for transactions and identification
The Platform Layer provides core services:
Agent Creator: Visual and programmatic tools for building AI agents
Marketplace: Agent discovery, purchase, and leasing
Analytics: Usage tracking and performance metrics
The Compute Layer handles agent execution:
Hybrid Architecture: Combines centralized and decentralized compute
Professional GPU Farms: Enterprise-grade performance with SLAs
Decentralized Nodes: Community-run compute nodes
Load Balancer: Distributes workloads optimally
The Blockchain Layer manages ownership and economics:
zkSync Era: Layer 2 solution for fast, low-cost transactions
NFT System: Tokenization of AI agents
Smart Contracts: Automated business logic
Staking System: Security and incentives
The AIAF platform components interact through standardized interfaces:
User Authentication: Web3 wallet signatures verify identity
Access Control: Smart contracts verify ownership and usage rights
Resource Allocation: Compute network dynamically assigns resources
Request Processing: AI agents execute on appropriate compute resources
Data flows through the system while maintaining security and privacy:
Input Processing: Sanitization, normalization, and formatting
Request Routing: Directing to appropriate resources
Execution: Running the agent logic on compute resources
Result Processing: Formatting and delivery of outputs
AIAF implements a comprehensive security model:
User Layer Security:
Web3 wallet authentication
Role-based access control
Client-side encryption
The AI industry is experiencing explosive growth, but this growth is concentrated around a few key players. This centralization creates several critical issues:
A handful of large tech companies control the most advanced AI models, limiting innovation and access.
Value created by AI flows primarily to platform owners rather than to the creators and contributors.
AI creators have few options to monetize their innovations directly.
Centralized AI services often require users to surrender their data.
Monopolistic Control: A few entities dictate pricing and access
Innovation Bottlenecks: Centralized decision making limits exploration
Value Capture: Creators receive a small fraction of the value they generate
Single Points of Failure: Centralized infrastructure is vulnerable
Scaling Challenges: Centralized services struggle with global distribution
Limited Specialization: Large, general models over specialized solutions
AIAF addresses these challenges through a decentralized approach:
AI agents are tokenized as NFTs, providing verifiable ownership on the blockchain.
A hybrid compute network combines reliability with decentralization.
Value flows to creators, users, and infrastructure providers through transparent tokenomics.
Auto-scaling: Adjusts resources based on demand
Transaction Recording: Usage and payments are recorded on-chain
Result Delivery: Processed results return to users
Transaction Recording: Logging on the blockchain
Platform Layer Security:
API gateway protection
Rate limiting and abuse prevention
Security monitoring and alerts
End-to-end encryption
Compute Layer Security:
Secure enclaves for sensitive computation
Workload isolation
Data protection measures
Secure multi-tenancy
Blockchain Layer Security:
Smart contract audits
Multi-signature controls
Time-lock mechanisms
Bug bounty program
Centralized ownership
NFT-based ownership
Limited monetization
Multiple revenue streams
Value captured by platform
Value flows to participants
Centralized infrastructure
Hybrid compute network
AI Agent Factory (AIAF) is a decentralized platform that allows users to create, own, and monetize AI agents on the blockchain. By leveraging smart contracts and decentralized AI compute, AIAF offers an open ecosystem where AI models are tokenized as NFTs, enabling ownership, revenue sharing, and transparent execution.
AIAF bridges blockchain and AI, allowing:
Individuals to create AI agents with no-code tools
Developers to tokenize their AI models as NFTs
Users to monetize AI services via subscriptions, leasing, or API usage
Decentralized compute providers to earn rewards for running AI inference
Create a world where AI innovation is democratized, ownership is decentralized, and value flows to creators.
To build the infrastructure that enables anyone to create, own, and monetize AI agents, powered by enterprise-grade technology and secured by blockchain innovation.
True Ownership: Full control of your AI agents through NFT ownership
Professional Infrastructure: Enterprise-grade performance with decentralized benefits
Multiple Revenue Streams: Diverse monetization options for AI creators
Future-Proof Technology: Built on scalable, secure blockchain infrastructure
Enterprise Hardware: High-performance GPUs and specialized AI accelerators
Guaranteed Performance: SLA-backed reliability and throughput
Global Distribution: Strategically located for low latency
Scaling Capacity: Elastic resources to handle demand spikes
Community Operated: Run by token holders and compute providers
Economic Incentives: Rewards for providing reliable compute resources
Transparent Verification: Proof of compute for quality assurance
Geographic Diversity: Resilience through distribution
Smart Routing: Requests directed to optimal resources
Dynamic Scaling: Automatic adjustment based on demand
Fault Tolerance: Seamless handling of node failures
Performance Optimization: Minimizing latency and costs
The compute network will be designed for diverse participation:
Hardware Specifications: Minimum compute, memory, and bandwidth
Software Stack: Containerized runtime environment
Security Measures: Secure enclaves and verification
Reliability Metrics: Uptime and performance expectations
Compute Credits: Reward tokens for processing requests
Staking Rewards: Additional benefits for committed providers
Reputation System: Performance-based incentive multipliers
Slashing Conditions: Penalties for unreliable service
Performance Monitoring: Real-time metrics tracking
Result Verification: Ensuring accurate computation
Security Auditing: Regular vulnerability assessments
Compliance Checks: Meeting regulatory requirements
The hybrid approach delivers advantages to all platform participants:
Reliable Infrastructure: Dependable execution environment
Flexible Scaling: Resources that grow with demand
Cost Efficiency: Optimized compute pricing
Global Reach: Worldwide deployment options
Consistent Performance: Reliable agent experiences
Data Sovereignty: Geographic control of computation
Privacy Options: Secure execution environments
Resilient Service: Redundancy against outages
Revenue Generation: Income from unused resources
Participation Options: Multiple ways to contribute
Transparent Rewards: Clear incentive structure
Community Involvement: Active role in the network
This glossary defines key terms used throughout the AIAF documentation.
A scaling solution built on top of a base blockchain (Layer 1) that processes transactions off the main chain while inheriting its security properties.
A Layer 2 scaling solution for Ethereum that uses zero-knowledge proofs to provide fast, low-cost transactions with strong security guarantees.
A unique digital asset that represents ownership of a specific item or piece of content, in AIAF's case, an AI agent.
Self-executing code deployed on a blockchain that automatically enforces and executes the terms of an agreement.
The Ethereum token standard for fungible tokens, used for the $AIAF utility token.
The Ethereum token standard for NFTs, used as the basis for AIAF's agent tokenization.
An autonomous software entity that can perceive its environment, make decisions, and take actions to achieve specific goals.
The combining of multiple AI agents to create more complex systems that leverage the specialized capabilities of each component agent.
A machine learning approach that trains algorithms across multiple decentralized devices or servers holding local data samples, without exchanging them.
The mathematical representation of an AI system, typically trained on data to recognize patterns and make predictions.
The process of using a trained AI model to make predictions or decisions based on new input data.
The process of further training a pre-trained model on a specific dataset to adapt it to particular tasks or domains.
AIAF's computation infrastructure that combines professional GPU farms with decentralized community nodes.
The tokenized representation of an AI agent on the blockchain, establishing verifiable ownership and enabling monetization.
An entity that contributes computational resources to the AIAF network, either through professional infrastructure or decentralized nodes.
A commitment between AIAF and users regarding service quality, availability, and performance metrics for AI agent execution.
A software architectural style that defines a set of constraints for creating web services, used for AIAF's programmatic interfaces.
A query language for APIs and a runtime for executing those queries with existing data, providing a more efficient and flexible alternative to REST.
A lightweight data-interchange format used for configuration files and data exchange between the AIAF platform and applications.
Agent Core: Central orchestration module
Configuration: Parameter settings and preferences
Capabilities: Functional modules providing specific abilities
Interfaces: Methods for interacting with the agent
Runtime: Execution environment and operational logic
Flexibility: Customize agents for specific use cases
Reusability: Combine existing modules in new ways
Maintainability: Update components independently
Scalability: Optimize resource usage for each component
Component Registry: Central catalog of available modules
Dependency Management: Handling relationships between components
Version Control: Managing component compatibility
Configuration System: Standardized parameter management
AIAF will support agent composition, allowing multiple agents to be combined for complex tasks:
Sequential: Agents process in series, output of one feeds into another
Parallel: Multiple agents process simultaneously and combine results
Hierarchical: Higher-level agents coordinate lower-level agents
Dynamic: Composition changes based on context or requirements
Flow Control: Manages the sequence of agent interactions
Data Transformation: Converts outputs to required input formats
Error Handling: Manages failures and retries
Performance Optimization: Reduces latency and resource usage
Specialization: Each agent can focus on its core strength
Complexity Management: Break down complex tasks
Resource Efficiency: Allocate resources based on specific needs
Reusability: Combine existing agents in new ways
AIAF will support federated learning and agent federation for privacy-preserving, distributed AI:
Federation Controller: Manages the federation process
Aggregation Module: Combines updates from participants
Encryption Layer: Ensures privacy of participant data
Participant Nodes: Contribute to federated learning
Differential Privacy: Add noise to protect individual data
Secure Multi-party Computation: Compute on encrypted data
Homomorphic Encryption: Process data while encrypted
Zero-Knowledge Proofs: Validate without revealing details
Data Privacy: Local processing preserves sensitive data
Regulatory Compliance: Addresses data sovereignty requirements
Reduced Data Transfer: Only model updates are shared
Broader Training Data: Access to diverse data sources
AIAF agents will adhere to standardized technical specifications:
Interface Standards: REST, GraphQL, WebSocket specifications
Data Formats: JSON, Protocol Buffers, Avro schemas
Performance Metrics: Latency, throughput, accuracy benchmarks
Security Requirements: Encryption, authentication, authorization
Text Generation
Creates human-like text
Medium CPU, Low Memory
Language Translation
Converts between languages
Medium CPU, Medium Memory
Image Recognition
Identifies objects in images
High GPU, Medium Memory
Sentiment Analysis
Detects emotional tone
On AIAF, AI agents will be tokenized as NFTs (Non-Fungible Tokens), providing verifiable ownership and enabling new economic models:
Agent Creation: Build and configure your AI agent
Ownership Minting: Agent is minted as an NFT on the blockchain
Metadata Storage: Agent parameters and capabilities are stored securely
Smart Contract Binding: Usage rights and revenue streams are encoded in smart contracts
Base Standard: ERC-721 for unique asset ownership
Extensions:
ERC-4907 for agent leasing
ERC-1155 for fractional ownership
Intellectual Property: Clear definition of rights
Revenue Streams: Entitlement to income generated
Control Access: Permission management
Transfer Rights: Ability to sell or lease
The AIAF marketplace will facilitate the exchange of AI agent NFTs:
Fixed Price: Set a specific price in $AIAF or stablecoins
Auction: Dutch auctions, English auctions, or reserve auctions
Offers: Accept bids from potential buyers
Bundles: Group related agents for package deals
Search: Find agents by capabilities, performance, or pricing
Categories: Browse by use case or industry
Filters: Narrow options by specific criteria
Recommendations: Personalized suggestions
Listing: Seller publishes agent with pricing details
Discovery: Buyers find agents that meet their needs
Purchase: Transaction executed on-chain
Transfer: Ownership rights transferred to buyer
AIAF will support fractional ownership models for collective investment and governance:
Percentage-Based: Own a specific percentage of an agent
Share-Based: Own a number of shares out of total supply
Usage Rights: Own rights to specific capabilities or usage quotas
Reduced Capital Requirements: Participate with smaller investments
Risk Distribution: Spread investment across multiple agents
Revenue Sharing: Proportional income distribution
Custom extensions for AI-specific functionality
Deployment: New owner can deploy or modify the agent
Low CPU, Low Memory
Conversational
Interactive dialogue
Medium CPU, High Memory
Data Analytics
Processes and analyzes data
High CPU, High Memory
Live Testing: Immediate feedback and iteration
Version Control: Track changes and rollback if needed
Pre-built templates will accelerate development and ensure best practices:
Conversational
Natural language interaction
Customer support, assistants
Content Generator
Creates original content
Writing, design, media
Data Analyzer
Processes and analyzes data
Research, business analytics
Decision Support
Provides recommendations
Templates provide a starting point that can be customized to specific needs.
Agents can be customized through various configuration options:
Name & Description: Identify your agent
Category & Tags: Improve discoverability
Access Controls: Public, private, or permissioned
Compute Tier: Basic, standard, or premium
Response Time: Optimize for speed or quality
Scaling Rules: Auto-scaling based on demand
Geographic Distribution: Deploy globally or regionally
Data Handling: How user data is processed
Authentication: Required access credentials
Audit Logging: Activity tracking options
AIAF will support a wide range of agent capabilities:
Natural Language Processing: Understanding and generating human language
Computer Vision: Image and video analysis
Reasoning: Logical inference and problem solving
Learning: Adaptation based on new data
API Endpoints: REST, GraphQL, WebSocket
Data Connectors: Databases, storage services, external APIs
Communication Channels: Email, messaging platforms, voice
The AIAF platform implements a straightforward fee structure designed to support platform growth while providing value to all participants.
The $AIAF token has built-in transaction fees:
Buy Tax: 5% on all token purchases
Sell Tax: 5% on all token sales
These taxes ensure continuous support for marketing, development, and liquidity.
The collected fees are used to support the platform's growth and sustainability:
User Acquisition: Campaigns to attract new users
Brand Awareness: Increasing visibility in the market
Community Building: Events, content, and engagement
Partnerships: Strategic collaborations with other projects
Core Platform: Improvements to the main functionality
New Features: Building additional capabilities
Security Enhancements: Ongoing security improvements
Performance Optimization: Making the platform faster and more efficient
Exchange Liquidity: Maintaining healthy trading pools
Price Stability: Reducing volatility through deeper liquidity
Trading Pairs: Supporting additional token pairs
Market Making: Ensuring consistent liquidity availability
Beyond token transaction taxes, the AIAF platform will include usage fees for various services:
Listing Fee: Free basic listing
Sale Fee: 2.5% of transaction value
Recurring Revenue: 2.5% of subscription or lease payments
Usage-based Pricing: Fees based on computational resources used
Tiered Structure: Different rates for different performance levels
Subscription Options: Discounted rates for committed usage
The fee structure creates several benefits for the ecosystem:
Continuous funding for platform improvements
Resource allocation based on project priorities
Long-term development without relying solely on initial funding
All participants contribute to platform growth
Fair distribution of costs based on platform usage
Transparent allocation of collected fees
Marketing budget grows with platform adoption
Development resources scale with platform success
Self-reinforcing growth model
AIAF is committed to transparent fee management:
Periodic updates on fee collection
Transparent allocation reporting
Impact metrics for fee utilization
Fee structure may evolve based on community feedback
Major changes will be announced in advance
Focus on maintaining fair and sustainable fees
AIAF's compute network will consist of professional GPU farms and decentralized nodes with specific requirements:
Operating System: Linux (Ubuntu 20.04+, RHEL 8+)
Runtime Environment: CUDA 11.7+, cuDNN 8.5+
Container Support: Docker, Kubernetes
Security Software: Secure enclave support, encryption
Bare Metal: Direct hardware access for maximum performance
Virtual Machines: Isolation with near-native performance
Containers: Portable, scalable deployments
Hybrid: Combination of deployment models
AIAF will provide Service Level Agreements (SLAs) for different compute tiers:
Availability: Uptime commitment
Latency: Response time guarantees
Throughput: Number of requests per time period
Error Rate: Maximum percentage of failed requests
Real-time Dashboards: Current performance metrics
Historical Analytics: Performance trends over time
Alert Systems: Notification for SLA violations
Regular Reports: Scheduled performance summaries
AIAF will implement multiple scaling mechanisms to handle varying loads:
Vertical Scaling: Increase resources on existing nodes
Horizontal Scaling: Add more nodes to the network
Auto Scaling: Dynamically adjust based on demand
Predictive Scaling: Pre-allocate resources based on patterns
CPU Utilization: Percentage of processing capacity used
Memory Usage: RAM consumption patterns
Request Queue: Backlog of pending requests
Response Time: Time to process and return results
AIAF's compute network will be globally distributed for performance and reliability:
Primary Regions: North America, Europe, Asia Pacific
Secondary Regions: South America, Middle East, Africa
Edge Locations: Distributed points of presence (PoPs)
Data Centers: Strategic facility locations
Reduced Latency: Proximity to end users
Regulatory Compliance: Meeting data residency requirements
Disaster Recovery: Geographic redundancy
Load Distribution: Regional traffic management
Name: AI Agent Factory Token
Symbol: $AIAF
Blockchain: Ethereum
Token Standard: ERC-20
Total Supply: 1,000,000,000 $AIAF
The $AIAF token serves multiple essential functions within the platform ecosystem:
Agent Usage Fees: Pay for AI agent execution and services
Marketplace Transactions: Purchase, sell, or lease AI agents
Service Fees: Cover platform transaction costs
Compute Resources: Pay for computational power
Staking: Secure the network by staking tokens
Network Incentives: Rewards for providing compute resources
The platform implements a straightforward fee structure:
5% Buy Tax: Applied to all token purchases
5% Sell Tax: Applied to all token sales
These fees ensure sustainable development and marketing of the platform while maintaining a reasonable cost structure for users.
The 5% buy and sell taxes are allocated to support platform growth and sustainability:
3% Marketing: Funding for promotion and user acquisition
2% Development: Supporting ongoing platform development
3% Marketing: Continuous marketing efforts
1% Development: Technical improvements
1% Liquidity: Enhancing token liquidity
Holding $AIAF tokens provides several advantages:
Discounted Fees: Reduced platform fees for token holders
Premium Features: Access to advanced capabilities
Early Access: Priority for new features and updates
Enhanced Visibility: Boosted marketplace listings
Fee Reductions: Lower fees for creating and selling agents
Access to Templates: Premium agent templates
Reward Multipliers: Enhanced rewards for providing quality compute
Priority Allocation: More favorable resource allocation
Network Status: Recognition within the platform ecosystem
The $AIAF token is designed with long-term sustainability in mind:
Utility Demand: Required for platform usage
Fee Capture: Token used for all platform services
Supply Mechanics: Balanced emission schedule
Burning: Portion of fees permanently removed from circulation
Multi-signature Control: Secure treasury management
Gradual Distribution: Controlled token release
Market Stability: Liquidity management practices
High Throughput: Processes thousands of transactions per second
Low Cost: Reduces gas fees by over 90% compared to Ethereum L1
Security: Inherits Ethereum's security through zero-knowledge proofs
EVM Compatibility: Supports Solidity and familiar development tools
Native Account Abstraction: Enhanced user experience
Bridge Contract: Enables assets to move between Ethereum and zkSync
zkRollup: Aggregates transactions for efficient processing
zkEVM: Supports smart contract execution
Prover System: Generates cryptographic proofs of transaction validity
L1/L2 Communication: Message passing between layers
State Synchronization: Maintaining consistent state across layers
Gas Optimization: Efficient use of computational resources
Priority Queue: Handling transaction prioritization
AIAF's smart contract architecture will implement the core platform functionality:
Registry: Tracks all AI agents and their metadata
Marketplace: Facilitates buying, selling, and leasing of agents
Compute Manager: Allocates compute resources and manages nodes
Treasury: Handles protocol funds and revenue distribution
Token Contracts: Implement $AIAF functionality
NFT Contracts: Manage agent ownership and rights
Formal Verification: Mathematical proof of correctness
Multiple Audits: Third-party security reviews
Timelocks: Delay periods for critical changes
Upgradability: Secure upgrade patterns
Access Controls: Role-based permissions
AIAF is designed to work across multiple Layer 2 solutions and blockchains:
Asset Bridging: Move tokens and NFTs between networks
State Synchronization: Maintain consistent state across chains
Interoperability Protocols: Compatibility with cross-chain standards
Multi-Chain Deployment: Deploy agents across multiple networks
Chain Agnostic Interfaces: Consistent APIs regardless of underlying chain
Message Passing: Secure communication between chains
Proof Verification: Cryptographic validation of cross-chain actions
Liquidity Networks: Efficient asset transfer between chains
Fallback Mechanisms: Ensure reliability during network issues
AIAF's transaction processing system ensures efficiency, security, and transparency:
Agent Creation: Mint new AI agent NFTs
Marketplace Actions: Buy, sell, lease agents
Compute Requests: Execute agent functionality
Token Operations: Transfers, staking, and locking
Initiation: Transaction submitted by user
Validation: Check parameters and permissions
Resource Allocation: Assign compute resources if needed
Execution: Process the transaction logic
Completion: Record results and update state
Settlement: Distribute fees and rewards
Investment, planning
Automation
Performs routine tasks
Workflow optimization
Education: Resources to help users understand the platform
Testing & Quality Assurance: Ensuring platform reliability
Buy Tax (5%)
3%
2%
0%
Sell Tax (5%)
3%
1%
1%
The AIAF roadmap outlines our path to building a comprehensive decentralized AI agent ecosystem. Our development follows a phased approach, focusing on building strong foundations before expanding functionality.
This initial phase focuses on establishing the core infrastructure and essential platform components:
Layer 2 Integration: Complete zkSync Era implementation for scalable, low-cost transactions
Smart Contract Deployment: Core protocol contracts for agent NFTs, marketplace, and token
Security Framework: Fundamental security measures and audits
Agent Creator Beta: Basic no-code agent building interface
Marketplace Foundation: Initial NFT infrastructure for agent tokenization
Hybrid Compute Network: MVP of combined professional and decentralized computation
$AIAF Token: Token launch and initial utility implementation
Documentation Hub: Comprehensive knowledge base and guides
Initial Partnerships: Strategic ecosystem collaborations
Developer Resources: Basic tools for early builders
The second phase focuses on expanding functionality and improving the core platform:
Agent Composition: Support for complex multi-agent systems
Enhanced Marketplace: Advanced trading, leasing, and fractional ownership
Compute Network Expansion: Additional node types and performance tiers
Federation Capabilities: Privacy-preserving distributed learning
Advanced Fee Structure: Optimized economic model with dynamic pricing
Token Utility Expansion: Enhanced staking benefits and additional use cases
Insurance Pool: Risk management system for platform protection
Developer SDK: Comprehensive toolkit for agent creation and integration
API Gateway: Enhanced programmatic access to platform services
Plugin System: Extensibility framework for customization
Partner Program: Structured collaboration initiative for ecosystem growth
The third phase focuses on expansion, enterprise readiness, and platform maturity:
Enterprise Dashboard: Organization-focused management tools
Private Deployments: Secured isolated environments for sensitive applications
Compliance Framework: Regulatory compatibility features
Advanced Analytics: Comprehensive performance and ROI metrics
Geographic Distribution: Global infrastructure presence for reduced latency
Specialized Compute: Domain-specific processing resources
Cross-chain Integration: Multi-blockchain compatibility
Load Optimization: Advanced resource allocation and scaling
Marketplace Evolution: Dynamic pricing, reputation systems, and curation
Economic Optimization: Data-driven adjustment of incentive mechanisms
Community Leadership: Transition to community-led development
The final phase represents our long-term vision and advanced research directions:
Dynamic NFTs: Self-evolving agent capabilities
Autonomous Systems: Self-governing agent ecosystems
Fully Decentralized Infrastructure: Minimized centralization points
Cross-platform Interoperability: Universal compatibility standards
Novel AI Architectures: Exploring cutting-edge model designs
Sustainable Economics: Long-term platform viability
Privacy-Preserving Computation: Enhanced confidential AI processing
Layer 2 deployment and testing
Smart contract development and auditing
Cross-chain bridge implementation
Advanced security features
Modular agent architecture
Composition and federation capabilities
Performance optimization
Privacy and security enhancements
Hybrid network deployment
Node operator onboarding
SLA implementation
Geographical expansion
Creator interface expansion
Marketplace feature enhancement
Analytics and reporting systems
Our ultimate goal is to create a fully decentralized ecosystem where:
AI agents can be created, owned, and monetized by anyone
Computation is distributed globally with enterprise-grade performance
Economic benefits flow to creators, users, and infrastructure providers
Innovation flourishes through open standards and interoperability
This roadmap represents our current plans but will evolve based on technological developments, market conditions, and community feedback.
Edge
4+ cores
Optional
16GB+ RAM
256GB+ SSD
100 Mbps+
Monitoring Tools: Node exporter, GPU metrics
99.95%
<1s
High
Email (8h)
Enterprise
99.99%
<500ms
Unlimited
24/7 Phone
Data Durability: Guarantee against data loss
Error Rate: Failed requests as percentage of total
Cost Optimization: Efficient resource allocation
Professional
32+ cores
A100/H100/equivalent
128GB+ RAM
2TB+ NVMe
10 Gbps+
Enterprise
16+ cores
RTX 4090/equivalent
64GB+ RAM
1TB+ NVMe
5 Gbps+
Community
8+ cores
RTX 3080/equivalent
32GB+ RAM
512GB+ SSD
Basic
99.0%
Best effort
Limited
Community
Standard
99.9%
<5s
Medium
Email (24h)
1 Gbps+
Premium
AIAF is built with a four-layer architecture that combines the best of blockchain technology with advanced AI infrastructure:
User Layer: Interface for users and developers
Platform Layer: Core platform services
Compute Layer: Execution environment for AI agents
Blockchain Layer: Ownership and tokenization layer
Tools and interfaces for building intelligent agents with various capabilities.
A decentralized marketplace where AI agents can be bought, sold, and leased.
A combination of professional GPU farms and decentralized nodes providing reliable, scalable compute.
The utility token powering the platform's ecosystem.
Build an AI agent using the platform's no-code tools or API
Configure capabilities, performance requirements, and monetization model
Deploy the agent to the hybrid compute network
Earn revenue as users interact with your agent
Browse the marketplace to find useful AI agents
Purchase usage rights or subscribe to agents
Integrate agents into applications or use directly
Rate and provide feedback on agent performance
Stake $AIAF tokens to join the compute network
Provide computational resources to run AI agents
Earn rewards for processing requests