Architecture Overview
Bitplanet is a blockchain infrastructure designed for AI data attribution and fair value distribution. Built on BitSDK with EVM compatibility, it transforms traditional asset ledgers into attribution and evaluation systems for AI economies.
System Design Philosophy
Why Bitplanet Exists
Traditional AI systems lack transparent mechanisms for tracking contributions and fairly compensating creators, platforms, and contributors. Bitplanet solves this by:
Tracking AI contributions through a multi-dimensional tensor matrix
Distributing rewards based on real economic value (market capitalization) rather than subjective benchmarks
Ensuring transparency through blockchain-based attribution records
Enabling governance where token holders control economic parameters
Dual-Layer Architecture
Bitplanet combines two blockchain paradigms:
BitSDK Layer (Backend)
State management and data storage
Custom modules for AI attribution logic
gRPC/REST APIs for querying data
Governance and consensus mechanisms
EVM Layer (Frontend)
Smart contracts for token operations
Familiar Web3 interfaces (ethers.js, web3.js)
ERC-1155 and ERC-20 token standards
Easy integration for AI App developers
This design provides the flexibility of BitSDK for custom logic and the accessibility of Ethereum for developers.
Core Components
AIs
AIs are registered entities in the Bitplanet system representing AI models, datasets, or AI-powered applications.
Key Properties:
Unique identifier (AI ID)
Creator address (receives 40% of rewards)
Associated AI App address (receives 40% of rewards)
Market capitalization (determines reward weight)
Current gem supply
Lifecycle:
Creator submits Core Grant Application via governance
Proposal approved → Cores allocated
Creator mints Gems from Cores via smart contract
AI accumulates rewards based on market cap
Rewards claimed by creators, AI apps, and contributors
Cores
Core tokens are genesis allocations granted through governance proposals. See Core Tokens for details.
Purpose:
Bootstrap new AIs with initial token supply
Controlled distribution via governance approval
One-time allocation per approved application
Usage Flow:
Creator applies via
CoreGrantApplicationmessageCommunity votes on proposal
Approved → Cores allocated to creator
Creator converts Cores to Gems via
GemCoreNFTcontractConversion ratio: 1 Core = 1 Gem
Gems
Gem tokens represent AI-specific value and are the primary tokens for AI economies. See Gem Tokens for details.
Characteristics:
Minted from Cores via smart contract
Tradeable ERC-1155 tokens (with ERC-20 adapters)
Each AI has its own Gem type
Total supply determines market cap
Token Standards:
ERC-1155: Native format in
GemCoreNFTcontractERC-20: Wrapped format via adapter contracts for DEX compatibility
Contributors
Contributors are users who participate in AI development and receive rewards. See AI Tensor Matrix for contribution tracking details.
Contribution Types:
TRAIN: Training data or model improvements
REFER: Referrals and community growth
CREATE: Content creation or enhancements (Required)
PROMPT: Prompt engineering and testing
REVENUE: Revenue generation contributions
MARKET_CAP: Market capitalization increase contributions
Reward Mechanism - See Reward Distribution:
Contributions recorded in AI Tensor Matrix
20% of AI rewards distributed to contributors
Distribution proportional to contribution quantities
Rewards accumulate and are claimable on-chain
How It Works
Bitplanet Workflow Overview
1. AI Registration & Core Allocation
2. Gem Minting
3. Contribution Tracking
4. Inflation Distribution (Every Block)
Per AI reward split:
40% → AI App (claimable)
40% → Creator (claimable)
20% → Contributors (by tensor matrix)
5. Reward Claiming
1. AI Registration and Core Allocation
The creator submits a proposal requesting Cores for their AI. Token holders vote on the proposal. If approved, Cores are allocated to the creator's address.
2. Gem Minting
The creator calls the mintGem function on the GemCoreNFT smart contract, burning Cores and minting an equivalent amount of Gems.
3. Contribution Tracking
Approved requesters submit Request for Core (RfC) messages containing contribution data. The AI Tensor Matrix records contribution quantities for each contributor.
For detailed information about the AI Tensor Matrix and contribution attribution, see AI Tensor Matrix.
4. Inflation Distribution
Every block, newly minted tokens are distributed proportionally based on AI market capitalization, split between creators, AI App operators, and contributors.
For detailed information about the inflation mechanism and reward distribution, see Inflation Mechanism.
5. Reward Claiming
Users can query their accumulated rewards and submit claim transactions to transfer tokens to their account.
For detailed information about reward claiming mechanics, see Reward Distribution.
System Architecture
Layer Interaction
Cross-Layer Interaction Sequences
1. Core to Gem Conversion
2. Reward Claiming (User → EVM → Cosmos)
3. Contribution Attribution (Cosmos → EVM → Cosmos)
Data Flow
State Storage (BitSDK)
AI records (creator, AI App, market cap)
AI Tensor Matrix (contributions by actor × type)
Core Grant Applications (proposals)
Claimable reward balances
Module parameters (governance-controlled)
Token Operations (EVM)
Gem minting from Cores
Token transfers and approvals
ERC-1155 ↔ ERC-20 conversions
UUPS upgradeable contracts for future enhancements
BeaconProxy pattern for deploying multiple token instances
Integration Points
BeginBlockhook: Distributes inflation to AI rewardsPrecompile registry: Connects EVM contracts to Cosmos state
Event emission: Both layers emit events for indexing
Key Differentiators
Market Cap-Based Distribution
Unlike systems using subjective benchmarks or fixed allocations, Bitplanet distributes rewards proportional to real market value. AIs with higher market caps receive more inflation rewards, creating natural economic incentives.
Current: Market cap = gem supply (ERC1155 totalSupply)
Future: Market cap = rolling_average[ (W1 × gem_supply) + (W2 × gem_market_cap) ] where W1, W2 are governance-adjustable weights. This weighted formula mitigates price manipulation attacks on thin AMM liquidity.
Multi-Dimensional Contribution Tracking
The AI Tensor Matrix supports multiple contribution types (TRAIN, REFER, CREATE, PROMPT) with extensibility for future types. This enables nuanced attribution beyond simple transaction counts.
Governance-Controlled Economics
All economic parameters are controlled via governance proposals:
Inflation percentages
Reward split ratios
Scalability limits
New contribution types
This ensures the system can adapt to changing needs without hard forks.
Hybrid Architecture Benefits
For Developers:
Use familiar Web3 tools (MetaMask, Hardhat, ethers.js)
Access BitSDK power (custom state queries, governance)
For Users:
Standard ERC-20/ERC-1155 wallet compatibility
Transparent on-chain attribution records
For Validators:
BitSDK validator infrastructure
Proven consensus and network security
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