BrainTrade

BrainTrade is a tokenized AI expertise marketplace where each expert gets their own ERC-20 token. Users purchase expert tokens to access AI consultations trained on their knowledge bases.

Users log in via social auth, buy tokens, and chat with AI experts. Each message costs some tokens depending on the expert. The AI maintains each expert's unique communication style and knowledge through RAG (Retrieval-Augmented Generation).

Revenue is automatically distributed: 90% to experts, 10% platform fee. This creates scalable expertise - one expert can serve thousands of users simultaneously while earning passive income from their intellectual property.

The platform transforms expensive consulting ($200-500/hour) into affordable AI interactions ($0.05-0.20 per session) while preserving expert knowledge and personality.

Built using three sponsor technologies integrated for seamless Web3 UX:

Zircuit: Deployed ExpertFactory and ExpertToken smart contracts. ExpertFactory creates unique ERC-20 tokens for each expert, while ExpertToken handles consultation payments and revenue distribution. Used Zircuit's sub-cent transactions and Account Abstraction to eliminate gas complexity.

Privy: Integrated embedded wallets for social login (Google/Apple). Users don't see seed phrases, gas fees, or wallet complexity - everything happens transparently. Critical for mainstream adoption since target users are business professionals, not crypto natives.

Hardhat: Built comprehensive smart contract suite with OpenZeppelin standards. Used Hardhat's testing framework to ensure proper tokenomics and wei-format precision for consultation costs.

Technical architecture:

• Frontend: Next.js + TypeScript
• Smart contracts: Solidity with precise token accounting (consultation costs in wei format)
• AI/RAG: Vector embeddings of expert documents + LLM integration maintaining personality
• Backend: Node.js API handling AI responses and blockchain interactions

Innovative features:

• Custom token factory creating bt{NAME} tokens automatically
• Revenue distribution through smart contracts (no manual payments)
• RAG system preserving each expert's communication style and knowledge