Proof of AI Verification
A novel consensus mechanism where AI agents verify chain integrity through zero-knowledge private channels.
How PoAIV Compares
PoAIV combines the accessibility of CPU mining with the intelligence of AI verification and the privacy of zero-knowledge proofs.
| Feature | PoAIV | PoW | PoS |
|---|---|---|---|
| Hardware | Any CPU | ASIC / GPU | None |
| Energy Use | Low | Very High | Very Low |
| Verification | AI Reasoning | Hash Computation | Economic Stake |
| Privacy | ZK Native | None | None |
| Barrier to Entry | Low (CPU) | High ($$$) | High (Capital) |
| Validator Intelligence | High (AI) | None | None |
Five-Layer Architecture
From user wallets to consensus finality — every layer is designed for privacy, verifiability, and decentralization.
User Layer
Wallets, transactions, and isolated per-user ledger spaces. Each user owns their state.
Ledger Layer
Per-user record chains with UTXO-like state management. Merkle-tree backed integrity.
ZK Channel Layer
Private communication channels between AI verification agents. Data never leaves the channel unencrypted.
Agent Layer
Claude AI verifiers audit transactions, state transitions, and proof correctness with reasoning — not just computation.
Consensus Layer
BFT ordering combined with ZK proof finality. Agents reach agreement through structured verification protocols.
Zero-Knowledge Privacy
Isolated Ledger Spaces
Each user's state lives in its own isolated ledger space. No other user can observe your balances, transactions, or history.
ZK Private Channels
Verification agents communicate through zero-knowledge channels. They prove correctness without revealing the underlying data.
Proof Without Exposure
Consensus is reached by verifying proofs — not by inspecting raw data. The chain is auditable without being transparent.
AI-Powered Verification
Intelligent Validation
AI agents reason about transaction validity, checking logical consistency — not just cryptographic signatures.
Deep Chain Auditing
Agents verify state transitions, proof correctness, and cross-ledger consistency in real time.
Structured Consensus
Agents follow verification protocols to reach agreement. BFT ordering ensures finality even with adversarial actors.