CoinFello introduced its new onchain AI agent at ETHDenver 2026, showcasing a tool designed to change how users interact with smart contracts. The launch highlights growing momentum at the intersection of artificial intelligence and decentralized finance.
Branded as BuffiBot for the event, the AI agent integrates directly into the official ETHDenver app. Attendees can use text or real-time voice commands to explore schedules, speakers, workshops, and side events. However, the bigger vision goes far beyond conference support.
Turning Conversations Into Onchain Actions
CoinFello allows users to describe what they want in plain language. For example, someone could say they want to swap tokens, manage a DeFi position, or automate a yield strategy. The AI agent then interprets the request and converts it into the correct smart contract calls.
This conversational layer reduces dependence on complex decentralized application interfaces. Instead of clicking through multiple steps, users simply state their intent. The agent can then execute actions while keeping users in control of their wallets and permissions.
Key features include:
- Conversational smart contract execution
- Support for Ethereum Virtual Machine compatible networks
- Wallet-aware context for personalized suggestions
- Integration with MetaMask Smart Accounts Kit and EigenAI
Building the Future of Onchain AI
CoinFello also launches as an EIP-8004 agent. This structure allows other AI agents to interact with it within Ethereum’s emerging onchain agent ecosystem. As a result, it fits into a broader push toward autonomous, blockchain-native AI systems.
Founder JacobC.eth, formerly MetaMask’s head of operations, designed CoinFello as a self-sovereign AI agent. The system aims to automate smart contract activity across EVM chains while preserving user control over assets.
Industry observers view this ETHDenver debut as an important step toward improving Web3 usability. By simplifying DeFi interactions into intuitive conversations, CoinFello may lower barriers that have long discouraged mainstream adoption.
Still, long-term success will depend on security, interoperability, and user trust as AI-driven blockchain tools continue to evolve.
