🤖 AI-POWERED DEFI ROUTING: WHAT SHOULD AI ACTUALLY DO?
AI agents look like a natural fit for DeFi routing. But an RFQ system already lets competing resolvers provide live executable quotes. The core pricing problem does not necessarily need a predictive model.
🧩 AI ABOVE THE ROUTING LAYER
Omniston handles price discovery mechanically: resolvers and liquidity sources compete for an order. AI can add more value by understanding user intent and turning it into a precise request.
A user might say: “Swap 100 USDT for TON, keep slippage below 1%, and prioritize settlement soon over a tiny price improvement.” AI can convert that into parameters an RFQ system can execute.
It can also help with broader strategy:
- Split a large trade into smaller actions.
- Sequence multiple DeFi actions.
- Explain fees, price impact and minimum received.
🔐 THE EXECUTION LINE
The important boundary is between preparing and executing. A recommendation can be rejected. An autonomous agent with signing authority can turn bad judgment or a compromised workflow into an actual transaction.
Non-custodial infrastructure limits that risk. On STONfi, swaps require an explicit wallet signature, so an AI assistant can prepare or explain an action without silently controlling funds. Transaction previews and minimum-received figures help explain the action before signing.
⚙ WHY STONfi FITS
STONfi already provides the pieces an AI interface would need: Omniston for resolver competition, SDK interfaces for quotes and transaction building, and a non-custodial swap flow. AI can sit above this infrastructure instead of rebuilding price discovery.
My take: the opportunity is not “AI finds a smarter pool.” It is “AI understands intent while the market handles execution.” That division is practical and safer to design without extra complexity.
Not investment advice — always research on your own.
$ARB
AI agents look like a natural fit for DeFi routing. But an RFQ system already lets competing resolvers provide live executable quotes. The core pricing problem does not necessarily need a predictive model.
🧩 AI ABOVE THE ROUTING LAYER
Omniston handles price discovery mechanically: resolvers and liquidity sources compete for an order. AI can add more value by understanding user intent and turning it into a precise request.
A user might say: “Swap 100 USDT for TON, keep slippage below 1%, and prioritize settlement soon over a tiny price improvement.” AI can convert that into parameters an RFQ system can execute.
It can also help with broader strategy:
- Split a large trade into smaller actions.
- Sequence multiple DeFi actions.
- Explain fees, price impact and minimum received.
🔐 THE EXECUTION LINE
The important boundary is between preparing and executing. A recommendation can be rejected. An autonomous agent with signing authority can turn bad judgment or a compromised workflow into an actual transaction.
Non-custodial infrastructure limits that risk. On STONfi, swaps require an explicit wallet signature, so an AI assistant can prepare or explain an action without silently controlling funds. Transaction previews and minimum-received figures help explain the action before signing.
⚙ WHY STONfi FITS
STONfi already provides the pieces an AI interface would need: Omniston for resolver competition, SDK interfaces for quotes and transaction building, and a non-custodial swap flow. AI can sit above this infrastructure instead of rebuilding price discovery.
My take: the opportunity is not “AI finds a smarter pool.” It is “AI understands intent while the market handles execution.” That division is practical and safer to design without extra complexity.
Not investment advice — always research on your own.
$ARB
