Etherscan CEO: Combining blockchain and Web3 data with AI requires solving engineering challenges related to smart contract understanding and prompting.

BlockBeats reported on September 13th that Etherscan CEO Matthew Tan stated during a roundtable discussion at Token2049 in Singapore, titled "Navigating Blockchain and Web3 Data", that there are two major pain points when it comes to combining blockchain and Web3 data with AI. Firstly, many people require a better understanding of smart contracts. As a result, we have developed the Code Reader tool, which allows users to access verified smart contract source code and ask basic questions to help them understand the functionality and core features of smart contracts. This is particularly useful for beginners who are asking very basic questions, such as what a smart contract does. The second pain point involves prompting engineering, or how to ask the right questions. This is similar to the development of search engines in the past, which became increasingly intelligent and able to guess the user's intent based on their input and provide relevant results. Now, we also need appropriate prompting engineering to help users ask the right questions to obtain accurate answers. This is an important direction for development that can improve the usability and user experience of blockchain and smart contracts.