Abstract: Methods and systems for smart contract creation, validation, and monitoring using generative artificial intelligence models are described. In example implementations, such models may be constructed as merged models from base models and secondary models. The secondary models may be fine-tuned and task-specific. By way of example, the merged models may be used for generation of smart contract code, generation of synthetic data used to validate or test smart contract code, or in cooperation with agents to monitor execution of smart contract code once published on the blockchain.

Abstract: A method for generating a bridge to facilitate cross-chain transactions is disclosed. The method includes monitoring transactions on a first and second blockchain and classifying the monitored transactions. For each transaction type of a plurality of transaction types, the method includes generating, with a generative artificial intelligence model, a smart contract defining a bridge to link the first blockchain with the second blockchain based on the classified transaction type and deploying the smart contract defining the bridge.

Abstract: A system for monitoring network activity data in a blockchain network is disclosed. The system may comprise a layer 1 blockchain, a layer 2 solution, and a monitoring system. The monitoring system may include a log collector, an artificial intelligence system, and a reporting system. The log collector may collect network activity data. The artificial intelligence system may analyze network activity data received from the log collector and determine a corrective action. The reporting system may display a report of network activity data. The monitoring system may be further configured to perform the corrective action.

Abstract: A method for generating and validating a smart contract is disclosed. The method may include receiving text input describing a desired operation of a smart contract and processing the text input with a language model to output a smart contract logic description and synthetic data for validating the smart contract. The method may further include processing the smart contract logic description with a generative artificial intelligence model to generate smart contract code, validating the smart contract code using the synthetic data to simulate transactions with the smart contract, and deploying the smart contract code on a blockchain upon successful validation of the smart contract code.

Abstract: A system for facilitating communication between layer 2 networks is disclosed. The system may include a first layer 2 network and a second layer 2 network. One or more of the first or second layer 2 network may include a communication platform that is configured to define a protocol for establishing communication between the first and second layer 2 network. Furthermore, based at least in part on the protocol, a bridge may be generated that communicatively couples the first and second layer 2 networks. In some embodiments, generating a bridge may include generating a smart contract to facilitate communication between the first and second layer 2 networks.