DeFAI Use Cases & Workflow Examples
Automated Yield Farming
Scenario: A user configures an AI Agent to find and invest in the highest-APY stablecoin pools across Ethereum, Arbitrum, and Stellar.
Agent Tasks: Monitors yield rates daily, reallocates funds if a new pool overtakes the current APR by a certain percentage, and withdraws profits into a stable asset if the userβs profit threshold is reached.
Social Sentiment Trading
Scenario: The AI Agent scans Twitter, Telegram, and on-chain activity for mentions of a new token, correlating large social spikes with price momentum.
Agent Tasks: Buys a small position when social volume surges, sets a trailing stop-loss, and locks in profits automatically if the token skyrockets.
Multi-Chain Arbitrage
Scenario: Markets can be temporarily mispriced across different DEXs on separate chains.
Agent Tasks: Tracks prices across multiple DEXs, executes profitable trades, and handles bridging/liquidity seamlessly under the hood.
Personalised Strategy
Scenario: A user defines a βDCAβ (Dollar-Cost Averaging) agent that invests $50 in BTC each week, adjusting to multiple chains if it finds a better route or discount on a specific network.
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