The problem WriterAI solves

The Problem It Solves

WriterAI simplifies and automates interactions with multiple smart contracts, making it ideal for tasks like arbitrage, MEV (Maximal Extractable Value), and more.

• Interact with Multiple Contracts: Instead of dealing with one contract at a time, WriterAI lets you input multiple contract addresses, enabling seamless automation of batch transactions and interactions across different contracts.

• Automate Arbitrage & MEV: For those working in DeFi or trading, WriterAI can help automate arbitrage opportunities and MEV strategies. By reading and writing to various contracts quickly and efficiently, you can execute trades across multiple platforms without manual intervention.

• Save Time and Effort: With the ability to interact with multiple contracts in a single flow, WriterAI saves you from tedious, repetitive tasks. It boosts your productivity by automating complex processes in one go.

• Boost Accuracy & Safety: By reducing human intervention, WriterAI minimizes errors, making your interactions with smart contracts safer and more reliable.

WriterAI is the perfect tool for anyone looking to automate interactions with multiple contracts, whether you're optimizing trades, executing arbitrage, or building complex DeFi strategies. It brings efficiency, safety, and scalability to blockchain tasks.

Challenges we ran into

Building WriterAI with the Base AI Agent wasn’t without its bumps, especially when trying to get it to interact with multiple contracts. At first, we weren’t sure how to fully tap into the capabilities of Base for our specific use case, and figuring out the best way to integrate it into our workflow was a bit tricky. Luckily, the Base team was super helpful and gave us great guidance, which made all the difference in getting over that learning curve.

Another challenge was getting Base to handle the complexity of multi-contract interactions smoothly. The natural language interface was powerful, but it needed some fine-tuning to properly execute more complex tasks. We also had some issues with error handling and debugging, but with the Base team’s fast and clear responses, we managed to build a robust system. Overall, while there were some hurdles, the Base team’s support made it possible for us to overcome them and create a solid tool.