The shift from manual interaction to artificial intelligence (AI) agents in decentralized finance (DeFi) represents the autopilot era of crypto. Jacob C., co-founder and CEO of Coinfello, argues in a recent analysis that these autonomous agents fundamentally enhance how users interface with complex smart contracts—acting as a “translation layer” that could prove vital if DeFi is to scale to levels that seem impossible today.
How AI Agents Transform DeFi Interaction
In the past, DeFi required users to be glued to screens, monitoring gas fees, slippage, and liquidation risks. Today, autonomous agents can automatically pull liquidity out of a pool if they detect a rug pull pattern or if a stablecoin starts to de-peg—tasks that were previously available only to institutional hedge funds. Jacob C. emphasizes that before AI agents, users had to trust a centralized intermediary website (the dApp) which pointed at the smart contract. “They had to trust the website to honestly convey what a smart contract does, to legitimately point at the correct smart contract, and to not be hacked by a malicious third party.” AI agents eliminate this risk by interfacing directly with smart contracts, reading them, and explaining their risks to users. This direct interaction forms the core of the translation layer—converting incomprehensible contract code into actionable risk assessments.
New Efficiency, New Risks
While AI agents undeniably enhance efficiency and streamline complex workflows, they also expose systems to new vulnerabilities—most notably oracle dependency, where external data sources can distort outcomes, and a subtle erosion of human agency, as decision-making authority shifts from individuals to algorithms. Jacob C. warns: “Most of the AI agents we see on the market today require users to transfer funds into a wallet fully controlled by the AI agent, and to trust that the agent will not make mistakes or will not be malicious. Users must be able to verify or audit an agent before completely surrendering control.”
To address this, Coinfello employs what it calls liquidity sandboxing. This concept enables users to approve individual permissions to the AI agent that limit which tokens the agent can access. The team believes this approach “creates guardrails that fundamentally solve the dangers of securely using AI agents.” By granting only specific permissions, users retain a layer of control while still benefiting from automation.
By 2030: The Decline of dApps
Looking ahead, Jacob C. predicts that AI agents will automate actions that users otherwise would not have time to monitor, such as dollar-cost averaging or executing personally defined trading strategies. He forecasts that by 2030, decentralized applications (dApps) will decline to the point where they are no longer the primary way people use smart contracts. Instead, natural language interaction through AI agents will become the norm. “Users will just tell an agent, ‘Set up a liquidity provisioning strategy for ETH/USDC,’ and the agent will handle everything,” he explains.
This prediction echoes the long-standing vision of making blockchain technology invisible to end users. But the precondition is that the agents themselves must be secure and auditable. While Coinfello’s liquidity sandboxing provides a partial solution, industry-wide standards and regulatory frameworks are still needed. Nevertheless, the shift from manual to autonomous interaction is already irreversible. The next evolution of DeFi will not be more complex dashboards but completely transparent intelligent interactions.