> For the complete documentation index, see [llms.txt](https://docs.frequencychain.org/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.frequencychain.org/13.-ai-integration-and-intelligent-systems/13.5-ai-assisted-smart-contract-interaction.md).

# 13.5 AI-Assisted Smart Contract Interaction

The following example demonstrates how an application might integrate AI outputs into smart contract execution.

```
const { ethers } = require("ethers");

const provider = new ethers.JsonRpcProvider("https://rpc.frequencychain.org");
const wallet = new ethers.Wallet("YOUR_PRIVATE_KEY", provider);

const contract = new ethers.Contract(contractAddress, abi, wallet);

// Example AI output (e.g., predicted energy demand)
const predictedValue = 120;

// Submit prediction to smart contract
await contract.updateEnergyData(predictedValue);

```

In this example, the AI system generates a prediction off-chain, and the result is submitted to the blockchain through a transaction. The smart contract can then use this value to trigger further logic.


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