Agent-Powered Execution
One-Workflow DeFi Strategies
Agent-Powered Execution transforms complex multi-protocol DeFi operations into simple, one-workflow interactions. Users browse verified strategies, already tested across 35+ protocols and 14+ chains, and preview complete transaction details before execution.
AI agents work together to coordinate and build transaction bundles, but users maintain complete control: agents cannot execute anything without explicit approval, and all transactions run directly from user wallets. Assets never leave user custody.
How It Works
1. Discovery & Selection
Browse Curated Strategies Users explore expert-built strategies across 35+ protocols and 14+ chains, organized by:
Strategy type (LPs, looping, delta-neutral, airdrop, etc.)
Chain (Ethereum, Arbitrum, Base, etc.)
Protocols (Pendle, Morpho, Aave, etc.)
2. Preview & Validation
Complete Transaction Preview Before execution, users see every detail:
Step-by-Step Breakdown: Each protocol interaction is listed sequentially
Token Flow: Exact tokens involved at each step (inputs, outputs)
Expected Outcomes: Final position, estimated APY, projected returns
Risk Parameters: Loan-to-Value threshold (LTV, LLTV)
Cost Estimates: Gas, protocol, and slippage fees
Real-Time Simulation Users test strategies with actual portfolios:
Preview exact outcomes based on the current on-chain state
See slippage estimates and price impact
Identify potential issues (paused pools, low liquidity, deposit caps)
Validate execution before committing capital
3. One-Click Execution
Approve & Execute Once satisfied with the preview, users approve transactions, and AI agents coordinate everything:
Automated Coordination: All swaps, bridges, and protocol interactions bundled
Cross-Chain Execution: Seamless operations across multiple blockchains
Optimal Routing: Real-time optimization for best prices and minimal slippage
Non-Custodial: All transactions execute directly from user wallets
Example of Supported Strategies
Leveraged Yield Strategies
Amplify returns by supplying collateral, borrowing assets, and resupplying in a loop.
Examples:
PT-sUSDe 2x-5x leveraged loops on Aave
Stablecoin leveraged yield on Morpho
Use Case: Maximize yield on tokens with controlled leverage
Delta-Neutral Positions
Capture yield while maintaining market-neutral exposure across lending and derivatives.
Examples:
PT position on Pendle with short hedging via Hyperliquid
Use Case: Earn yield without directional market exposure
Airdrop Farming
Coordinate interactions across multiple protocols to maximize airdrop eligibility.
Examples:
Multi-protocol interaction sequences (Aave + Uniswap + Pendle)
Optimized transaction volumes across target protocols
Use Case: Efficient capital deployment for potential airdrops
Cross-Chain Liquidity Provision
Bridge assets and provide liquidity across multiple chains in one workflow.
Examples:
Ethereum → Plasma bridging with LP provision
Multi-chain yield aggregation
Cross-chain arbitrage execution
Use Case: Relocate capital in minutes and get the best yield regardless of chains
Key Advantages
Protocol and Chain Abstraction: Execute complex strategies without navigating multiple protocol interfaces.
Atomic Execution Where Possible: Multiple actions bundled into single transactions when feasible, reducing the risk of partial execution.
Gas Optimization: Intelligent transaction bundling and ordering minimize overall gas costs compared to manual execution.
User Benefits
Agent-Powered Execution democratizes access to sophisticated DeFi strategies, making expert-level opportunities accessible to users regardless of technical expertise.
Democratized Access: What traditionally requires navigating multiple protocol interfaces, understanding technical documentation, and executing numerous manual transactions becomes a single conversational workflow. Users access sophisticated strategies without technical barriers.
Time Efficiency: Strategies that would take hours to execute manually (researching protocols, bridging assets, approving tokens, and coordinating multi-step operations) are reduced to minutes through intelligent agent coordination.
Risk Reduction: Pre-execution simulation and validation catch errors before capital commitment. Users preview exact outcomes, understand slippage, and identify potential issues in a risk-free environment before deploying real assets.
Last updated